commit 955958c4c1c2843cbcc36a45f59acd505f157e6b Author: ModelHub XC Date: Sat May 30 10:57:18 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: Ksjsjjdj/Tiny-LLM-Z-V5 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..ae87286 --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +--- +library_name: transformers +--- \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..275950b --- /dev/null +++ b/config.json @@ -0,0 +1,35 @@ +{ + "_name_or_path": "Tiny-LLM-Z-V5", + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "float32", + "eos_token_id": 2, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 512, + "initializer_range": 0.02, + "intermediate_size": 2048, + "max_position_embeddings": 512, + "max_window_layers": 28, + "mlp_bias": false, + "model_type": "qwen2", + "num_attention_heads": 8, + "num_hidden_layers": 1, + "num_key_value_heads": 8, + "pad_token_id": 3, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float32", + "transformers_version": "4.48.3", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 256 +} diff --git a/final_model_complete/config.json b/final_model_complete/config.json new file mode 100644 index 0000000..1fccca7 --- /dev/null +++ b/final_model_complete/config.json @@ -0,0 +1,35 @@ +{ + "_name_or_path": "Tiny-LLM-Z-V5", + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "float32", + "eos_token_id": 2, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 512, + "initializer_range": 0.02, + "intermediate_size": 2048, + "max_position_embeddings": 512, + "max_window_layers": 28, + "mlp_bias": false, + "model_type": "Qwen2", + "num_attention_heads": 8, + "num_hidden_layers": 1, + "num_key_value_heads": 8, + "pad_token_id": 3, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float32", + "transformers_version": "4.48.3", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 256 +} \ No newline at end of file diff --git a/final_model_complete/generation_config.json b/final_model_complete/generation_config.json new file mode 100644 index 0000000..1df465b --- /dev/null +++ b/final_model_complete/generation_config.json @@ -0,0 +1,8 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 3, + "transformers_version": "4.48.3", + "use_cache": false +} diff --git a/final_model_complete/model.safetensors b/final_model_complete/model.safetensors new file mode 100644 index 0000000..b6e32f6 --- /dev/null +++ b/final_model_complete/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9481b1d9d3ffa4f80126c095acffeec511c416c6278a5ed4b3a341fae7b16b8d +size 17315288 diff --git a/final_model_complete/special_tokens_map.json b/final_model_complete/special_tokens_map.json new file mode 100644 index 0000000..7433646 --- /dev/null +++ b/final_model_complete/special_tokens_map.json @@ -0,0 +1,6 @@ +{ + "bos_token": "<|endoftext|>", + "eos_token": "<|endoftext|>", + "pad_token": "<|endoftext|>", + "unk_token": "<|endoftext|>" +} diff --git a/final_model_complete/tokenizer.json b/final_model_complete/tokenizer.json new file mode 100644 index 0000000..a34b5a5 --- /dev/null +++ b/final_model_complete/tokenizer.json @@ -0,0 +1,951 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "<|im_start|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "<|im_end|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + "post_processor": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": false, + "use_regex": true + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "ignore_merges": false, + "vocab": { + "<|endoftext|>": 0, + "<|im_start|>": 1, + "<|im_end|>": 2, + "!": 3, + "\"": 4, + "#": 5, + "$": 6, + "%": 7, + "&": 8, + "'": 9, + "(": 10, + ")": 11, + "*": 12, + "+": 13, + ",": 14, + "-": 15, + ".": 16, + "/": 17, + "0": 18, + "1": 19, + "2": 20, + "3": 21, + "4": 22, + "5": 23, + "6": 24, + "7": 25, + "8": 26, + "9": 27, + ":": 28, + ";": 29, + "<": 30, + "=": 31, + ">": 32, + "?": 33, + "@": 34, + "A": 35, + "B": 36, + "C": 37, + "D": 38, + "E": 39, + "F": 40, + "G": 41, + "H": 42, + "I": 43, + "J": 44, + "K": 45, + "L": 46, + "M": 47, + "N": 48, + "O": 49, + "P": 50, + "Q": 51, + "R": 52, + "S": 53, + "T": 54, + "U": 55, + "V": 56, + "W": 57, + "X": 58, + "Y": 59, + "Z": 60, + "[": 61, + "\\": 62, + "]": 63, + "^": 64, + "_": 65, + "`": 66, + "a": 67, + "b": 68, + "c": 69, + "d": 70, + "e": 71, + "f": 72, + "g": 73, + "h": 74, + "i": 75, + "j": 76, + "k": 77, + "l": 78, + "m": 79, + "n": 80, + "o": 81, + "p": 82, + "q": 83, + "r": 84, + "s": 85, + "t": 86, + "u": 87, + "v": 88, + "w": 89, + "x": 90, + "y": 91, + "z": 92, + "{": 93, + "|": 94, + "}": 95, + "~": 96, + "Ċ": 97, + "Ġ": 98, + "Ġt": 99, + "Ġa": 100, + "in": 101, + "on": 102, + "he": 103, + "ti": 104, + "re": 105, + "Ġthe": 106, + "er": 107, + "Ġs": 108, + "Ġo": 109, + "en": 110, + "al": 111, + "Ġc": 112, + "or": 113, + "at": 114, + "tion": 115, + "es": 116, + "Ġof": 117, + "is": 118, + "Ġp": 119, + "an": 120, + "ed": 121, + "Ġf": 122, + "ar": 123, + "it": 124, + "ro": 125, + "ing": 126, + "Ġan": 127, + "Ġin": 128, + "Ġd": 129, + "Ġw": 130, + "Ġm": 131, + "ic": 132, + "le": 133, + "Ġb": 134, + "Ġand": 135, + "ation": 136, + "as": 137, + "Ġe": 138, + "el": 139, + "Ġto": 140, + "et": 141, + "ent": 142, + "Ġre": 143, + "st": 144, + "ct": 145, + "Ġth": 146, + "om": 147, + "im": 148, + "ul": 149, + "ra": 150, + "Ġn": 151, + "ve": 152, + "ly": 153, + "od": 154, + "ur": 155, + "un": 156, + "si": 157, + "ce": 158, + "Ġis": 159, + "Ġl": 160, + "Ġfor": 161, + "us": 162, + "ith": 163, + "ĠT": 164, + "ol": 165, + "Ġg": 166, + "Ġst": 167, + "Ġpro": 168, + "ch": 169, + "ow": 170, + "tic": 171, + "Ġcon": 172, + "qu": 173, + "Ġh": 174, + "per": 175, + "Ġon": 176, + "ig": 177, + "am": 178, + "res": 179, + "Ġwith": 180, + "Ġthat": 181, + "ĠW": 182, + "ver": 183, + "um": 184, + "Ġ$": 185, + "il": 186, + "Ġex": 187, + "ut": 188, + "se": 189, + "ot": 190, + "ate": 191, + "ec": 192, + "id": 193, + "em": 194, + "ity": 195, + "Ġwe": 196, + "pl": 197, + "ĠWe": 198, + "if": 199, + "Ġ(": 200, + "ab": 201, + "ge": 202, + "ĠThe": 203, + "ri": 204, + "ter": 205, + "the": 206, + "Ġal": 207, + "Ġas": 208, + "Ġbe": 209, + "Ġare": 210, + "ect": 211, + "omp": 212, + "ction": 213, + "ations": 214, + "ure": 215, + "ĠI": 216, + "Ġmod": 217, + "Ġv": 218, + "ir": 219, + "os": 220, + "Ġsu": 221, + "Ġby": 222, + "ts": 223, + "Ġsp": 224, + "pro": 225, + "und": 226, + "iz": 227, + "ac": 228, + "ical": 229, + "for": 230, + "ran": 231, + "ant": 232, + "Ġcomp": 233, + "di": 234, + "ain": 235, + "Ġwh": 236, + "ener": 237, + "ren": 238, + "rom": 239, + "Ġmodel": 240, + "Ġus": 241, + "ĠA": 242, + "Ġthis": 243, + "ist": 244, + "tive": 245, + "Ġres": 246, + "sion": 247, + "ag": 248, + "Ġde": 249, + "du": 250, + "Ġsh": 251, + "ess": 252, + "Ġat": 253, + "ĠS": 254, + "oc": 255 + }, + "merges": [ + [ + "Ġ", + "t" + ], + [ + "Ġ", + "a" + ], + [ + "i", + "n" + ], + [ + "o", + "n" + ], + [ + "h", + "e" + ], + [ + "t", + "i" + ], + [ + "r", + "e" + ], + [ + "Ġt", + "he" + ], + [ + "e", + "r" + ], + [ + "Ġ", + "s" + ], + [ + "Ġ", + "o" + ], + [ + "e", + "n" + ], + [ + "a", + "l" + ], + [ + "Ġ", + "c" + ], + [ + "o", + "r" + ], + [ + "a", + "t" + ], + [ + "ti", + "on" + ], + [ + "e", + "s" + ], + [ + "Ġo", + "f" + ], + [ + "i", + "s" + ], + [ + "Ġ", + "p" + ], + [ + "a", + "n" + ], + [ + "e", + "d" + ], + [ + "Ġ", + "f" + ], + [ + "a", + "r" + ], + [ + "i", + "t" + ], + [ + "r", + "o" + ], + [ + "in", + "g" + ], + [ + "Ġa", + "n" + ], + [ + "Ġ", + "in" + ], + [ + "Ġ", + "d" + ], + [ + "Ġ", + "w" + ], + [ + "Ġ", + "m" + ], + [ + "i", + "c" + ], + [ + "l", + "e" + ], + [ + "Ġ", + "b" + ], + [ + "Ġan", + "d" + ], + [ + "a", + "tion" + ], + [ + "a", + "s" + ], + [ + "Ġ", + "e" + ], + [ + "e", + "l" + ], + [ + "Ġt", + "o" + ], + [ + "e", + "t" + ], + [ + "en", + "t" + ], + [ + "Ġ", + "re" + ], + [ + "s", + "t" + ], + [ + "c", + "t" + ], + [ + "Ġt", + "h" + ], + [ + "o", + "m" + ], + [ + "i", + "m" + ], + [ + "u", + "l" + ], + [ + "r", + "a" + ], + [ + "Ġ", + "n" + ], + [ + "v", + "e" + ], + [ + "l", + "y" + ], + [ + "o", + "d" + ], + [ + "u", + "r" + ], + [ + "u", + "n" + ], + [ + "s", + "i" + ], + [ + "c", + "e" + ], + [ + "Ġ", + "is" + ], + [ + "Ġ", + "l" + ], + [ + "Ġf", + "or" + ], + [ + "u", + "s" + ], + [ + "it", + "h" + ], + [ + "Ġ", + "T" + ], + [ + "o", + "l" + ], + [ + "Ġ", + "g" + ], + [ + "Ġs", + "t" + ], + [ + "Ġp", + "ro" + ], + [ + "c", + "h" + ], + [ + "o", + "w" + ], + [ + "ti", + "c" + ], + [ + "Ġc", + "on" + ], + [ + "q", + "u" + ], + [ + "Ġ", + "h" + ], + [ + "p", + "er" + ], + [ + "Ġ", + "on" + ], + [ + "i", + "g" + ], + [ + "a", + "m" + ], + [ + "re", + "s" + ], + [ + "Ġw", + "ith" + ], + [ + "Ġth", + "at" + ], + [ + "Ġ", + "W" + ], + [ + "v", + "er" + ], + [ + "u", + "m" + ], + [ + "Ġ", + "$" + ], + [ + "i", + "l" + ], + [ + "Ġe", + "x" + ], + [ + "u", + "t" + ], + [ + "s", + "e" + ], + [ + "o", + "t" + ], + [ + "at", + "e" + ], + [ + "e", + "c" + ], + [ + "i", + "d" + ], + [ + "e", + "m" + ], + [ + "it", + "y" + ], + [ + "Ġw", + "e" + ], + [ + "p", + "l" + ], + [ + "ĠW", + "e" + ], + [ + "i", + "f" + ], + [ + "Ġ", + "(" + ], + [ + "a", + "b" + ], + [ + "g", + "e" + ], + [ + "ĠT", + "he" + ], + [ + "r", + "i" + ], + [ + "t", + "er" + ], + [ + "t", + "he" + ], + [ + "Ġa", + "l" + ], + [ + "Ġa", + "s" + ], + [ + "Ġb", + "e" + ], + [ + "Ġa", + "re" + ], + [ + "e", + "ct" + ], + [ + "om", + "p" + ], + [ + "c", + "tion" + ], + [ + "ation", + "s" + ], + [ + "u", + "re" + ], + [ + "Ġ", + "I" + ], + [ + "Ġm", + "od" + ], + [ + "Ġ", + "v" + ], + [ + "i", + "r" + ], + [ + "o", + "s" + ], + [ + "Ġs", + "u" + ], + [ + "Ġb", + "y" + ], + [ + "t", + "s" + ], + [ + "Ġs", + "p" + ], + [ + "p", + "ro" + ], + [ + "un", + "d" + ], + [ + "i", + "z" + ], + [ + "a", + "c" + ], + [ + "ic", + "al" + ], + [ + "f", + "or" + ], + [ + "r", + "an" + ], + [ + "an", + "t" + ], + [ + "Ġc", + "omp" + ], + [ + "d", + "i" + ], + [ + "a", + "in" + ], + [ + "Ġw", + "h" + ], + [ + "en", + "er" + ], + [ + "re", + "n" + ], + [ + "ro", + "m" + ], + [ + "Ġmod", + "el" + ], + [ + "Ġ", + "us" + ], + [ + "Ġ", + "A" + ], + [ + "Ġth", + "is" + ], + [ + "is", + "t" + ], + [ + "ti", + "ve" + ], + [ + "Ġre", + "s" + ], + [ + "si", + "on" + ], + [ + "a", + "g" + ], + [ + "Ġd", + "e" + ], + [ + "d", + "u" + ], + [ + "Ġs", + "h" + ], + [ + "es", + "s" + ], + [ + "Ġa", + "t" + ], + [ + "Ġ", + "S" + ], + [ + "o", + "c" + ] + ] + } +} \ No newline at end of file diff --git a/final_model_complete/tokenizer_config.json b/final_model_complete/tokenizer_config.json new file mode 100644 index 0000000..de8a4d6 --- /dev/null +++ b/final_model_complete/tokenizer_config.json @@ -0,0 +1,41 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|endoftext|>", + "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|endoftext|>", + "tokenizer_class": "PreTrainedTokenizerFast", + "unk_token": "<|endoftext|>" +} diff --git a/final_model_complete/training_args.bin b/final_model_complete/training_args.bin new file mode 100644 index 0000000..7eb013d --- /dev/null +++ b/final_model_complete/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3094fcb2cbf0c2dbb4dd559e2ad79c9e24d99aeecd652bbb12aa828bc03d3da2 +size 5713 diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..1df465b --- /dev/null +++ b/generation_config.json @@ -0,0 +1,8 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 3, + "transformers_version": "4.48.3", + "use_cache": false +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..b6e32f6 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9481b1d9d3ffa4f80126c095acffeec511c416c6278a5ed4b3a341fae7b16b8d +size 17315288 diff --git a/optimizer.pt b/optimizer.pt new file mode 100644 index 0000000..91552ac --- /dev/null +++ b/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:faad0c8b87757094274de331ad8ff25edfdae71e0ad7d87baebc418843db2fed +size 34640005 diff --git a/rng_state.pth b/rng_state.pth new file mode 100644 index 0000000..e26bbc1 --- /dev/null +++ b/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1971a7f5a4b2dbf37c7eaedcc9ddd90b7f2853c5557f35719c1a2082903b821 +size 14455 diff --git a/scheduler.pt b/scheduler.pt new file mode 100644 index 0000000..f53d3f2 --- /dev/null +++ b/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a9f154b1359afdda4d3ed65870a0e8dc4d46259d77c6ba1858bc2095aee8d67 +size 1465 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..7433646 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,6 @@ +{ + "bos_token": "<|endoftext|>", + "eos_token": "<|endoftext|>", + "pad_token": "<|endoftext|>", + "unk_token": "<|endoftext|>" +} diff --git a/tiny_llm_pretrain/checkpoint-10000/config.json b/tiny_llm_pretrain/checkpoint-10000/config.json new file mode 100644 index 0000000..275950b --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/config.json @@ -0,0 +1,35 @@ +{ + "_name_or_path": "Tiny-LLM-Z-V5", + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "float32", + "eos_token_id": 2, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 512, + "initializer_range": 0.02, + "intermediate_size": 2048, + "max_position_embeddings": 512, + "max_window_layers": 28, + "mlp_bias": false, + "model_type": "qwen2", + "num_attention_heads": 8, + "num_hidden_layers": 1, + "num_key_value_heads": 8, + "pad_token_id": 3, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float32", + "transformers_version": "4.48.3", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 256 +} diff --git a/tiny_llm_pretrain/checkpoint-10000/generation_config.json b/tiny_llm_pretrain/checkpoint-10000/generation_config.json new file mode 100644 index 0000000..1df465b --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/generation_config.json @@ -0,0 +1,8 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 3, + "transformers_version": "4.48.3", + "use_cache": false +} diff --git a/tiny_llm_pretrain/checkpoint-10000/model.safetensors b/tiny_llm_pretrain/checkpoint-10000/model.safetensors new file mode 100644 index 0000000..b6e32f6 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9481b1d9d3ffa4f80126c095acffeec511c416c6278a5ed4b3a341fae7b16b8d +size 17315288 diff --git a/tiny_llm_pretrain/checkpoint-10000/optimizer.pt b/tiny_llm_pretrain/checkpoint-10000/optimizer.pt new file mode 100644 index 0000000..91552ac --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:faad0c8b87757094274de331ad8ff25edfdae71e0ad7d87baebc418843db2fed +size 34640005 diff --git a/tiny_llm_pretrain/checkpoint-10000/rng_state.pth b/tiny_llm_pretrain/checkpoint-10000/rng_state.pth new file mode 100644 index 0000000..e26bbc1 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1971a7f5a4b2dbf37c7eaedcc9ddd90b7f2853c5557f35719c1a2082903b821 +size 14455 diff --git a/tiny_llm_pretrain/checkpoint-10000/scheduler.pt b/tiny_llm_pretrain/checkpoint-10000/scheduler.pt new file mode 100644 index 0000000..f53d3f2 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a9f154b1359afdda4d3ed65870a0e8dc4d46259d77c6ba1858bc2095aee8d67 +size 1465 diff --git a/tiny_llm_pretrain/checkpoint-10000/special_tokens_map.json b/tiny_llm_pretrain/checkpoint-10000/special_tokens_map.json new file mode 100644 index 0000000..7433646 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/special_tokens_map.json @@ -0,0 +1,6 @@ +{ + "bos_token": "<|endoftext|>", + "eos_token": "<|endoftext|>", + "pad_token": "<|endoftext|>", + "unk_token": "<|endoftext|>" +} diff --git a/tiny_llm_pretrain/checkpoint-10000/tokenizer.json b/tiny_llm_pretrain/checkpoint-10000/tokenizer.json new file mode 100644 index 0000000..a34b5a5 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/tokenizer.json @@ -0,0 +1,951 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "<|im_start|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "<|im_end|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + "post_processor": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": false, + "use_regex": true + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "ignore_merges": false, + "vocab": { + "<|endoftext|>": 0, + "<|im_start|>": 1, + "<|im_end|>": 2, + "!": 3, + "\"": 4, + "#": 5, + "$": 6, + "%": 7, + "&": 8, + "'": 9, + "(": 10, + ")": 11, + "*": 12, + "+": 13, + ",": 14, + "-": 15, + ".": 16, + "/": 17, + "0": 18, + "1": 19, + "2": 20, + "3": 21, + "4": 22, + "5": 23, + "6": 24, + "7": 25, + "8": 26, + "9": 27, + ":": 28, + ";": 29, + "<": 30, + "=": 31, + ">": 32, + "?": 33, + "@": 34, + "A": 35, + "B": 36, + "C": 37, + "D": 38, + "E": 39, + "F": 40, + "G": 41, + "H": 42, + "I": 43, + "J": 44, + "K": 45, + "L": 46, + "M": 47, + "N": 48, + "O": 49, + "P": 50, + "Q": 51, + "R": 52, + "S": 53, + "T": 54, + "U": 55, + "V": 56, + "W": 57, + "X": 58, + "Y": 59, + "Z": 60, + "[": 61, + "\\": 62, + "]": 63, + "^": 64, + "_": 65, + "`": 66, + "a": 67, + "b": 68, + "c": 69, + "d": 70, + "e": 71, + "f": 72, + "g": 73, + "h": 74, + "i": 75, + "j": 76, + "k": 77, + "l": 78, + "m": 79, + "n": 80, + "o": 81, + "p": 82, + "q": 83, + "r": 84, + "s": 85, + "t": 86, + "u": 87, + "v": 88, + "w": 89, + "x": 90, + "y": 91, + "z": 92, + "{": 93, + "|": 94, + "}": 95, + "~": 96, + "Ċ": 97, + "Ġ": 98, + "Ġt": 99, + "Ġa": 100, + "in": 101, + "on": 102, + "he": 103, + "ti": 104, + "re": 105, + "Ġthe": 106, + "er": 107, + "Ġs": 108, + "Ġo": 109, + "en": 110, + "al": 111, + "Ġc": 112, + "or": 113, + "at": 114, + "tion": 115, + "es": 116, + "Ġof": 117, + "is": 118, + "Ġp": 119, + "an": 120, + "ed": 121, + "Ġf": 122, + "ar": 123, + "it": 124, + "ro": 125, + "ing": 126, + "Ġan": 127, + "Ġin": 128, + "Ġd": 129, + "Ġw": 130, + "Ġm": 131, + "ic": 132, + "le": 133, + "Ġb": 134, + "Ġand": 135, + "ation": 136, + "as": 137, + "Ġe": 138, + "el": 139, + "Ġto": 140, + "et": 141, + "ent": 142, + "Ġre": 143, + "st": 144, + "ct": 145, + "Ġth": 146, + "om": 147, + "im": 148, + "ul": 149, + "ra": 150, + "Ġn": 151, + "ve": 152, + "ly": 153, + "od": 154, + "ur": 155, + "un": 156, + "si": 157, + "ce": 158, + "Ġis": 159, + "Ġl": 160, + "Ġfor": 161, + "us": 162, + "ith": 163, + "ĠT": 164, + "ol": 165, + "Ġg": 166, + "Ġst": 167, + "Ġpro": 168, + "ch": 169, + "ow": 170, + "tic": 171, + "Ġcon": 172, + "qu": 173, + "Ġh": 174, + "per": 175, + "Ġon": 176, + "ig": 177, + "am": 178, + "res": 179, + "Ġwith": 180, + "Ġthat": 181, + "ĠW": 182, + "ver": 183, + "um": 184, + "Ġ$": 185, + "il": 186, + "Ġex": 187, + "ut": 188, + "se": 189, + "ot": 190, + "ate": 191, + "ec": 192, + "id": 193, + "em": 194, + "ity": 195, + "Ġwe": 196, + "pl": 197, + "ĠWe": 198, + "if": 199, + "Ġ(": 200, + "ab": 201, + "ge": 202, + "ĠThe": 203, + "ri": 204, + "ter": 205, + "the": 206, + "Ġal": 207, + "Ġas": 208, + "Ġbe": 209, + "Ġare": 210, + "ect": 211, + "omp": 212, + "ction": 213, + "ations": 214, + "ure": 215, + "ĠI": 216, + "Ġmod": 217, + "Ġv": 218, + "ir": 219, + "os": 220, + "Ġsu": 221, + "Ġby": 222, + "ts": 223, + "Ġsp": 224, + "pro": 225, + "und": 226, + "iz": 227, + "ac": 228, + "ical": 229, + "for": 230, + "ran": 231, + "ant": 232, + "Ġcomp": 233, + "di": 234, + "ain": 235, + "Ġwh": 236, + "ener": 237, + "ren": 238, + "rom": 239, + "Ġmodel": 240, + "Ġus": 241, + "ĠA": 242, + "Ġthis": 243, + "ist": 244, + "tive": 245, + "Ġres": 246, + "sion": 247, + "ag": 248, + "Ġde": 249, + "du": 250, + "Ġsh": 251, + "ess": 252, + "Ġat": 253, + "ĠS": 254, + "oc": 255 + }, + "merges": [ + [ + "Ġ", + "t" + ], + [ + "Ġ", + "a" + ], + [ + "i", + "n" + ], + [ + "o", + "n" + ], + [ + "h", + "e" + ], + [ + "t", + "i" + ], + [ + "r", + "e" + ], + [ + "Ġt", + "he" + ], + [ + "e", + "r" + ], + [ + "Ġ", + "s" + ], + [ + "Ġ", + "o" + ], + [ + "e", + "n" + ], + [ + "a", + "l" + ], + [ + "Ġ", + "c" + ], + [ + "o", + "r" + ], + [ + "a", + "t" + ], + [ + "ti", + "on" + ], + [ + "e", + "s" + ], + [ + "Ġo", + "f" + ], + [ + "i", + "s" + ], + [ + "Ġ", + "p" + ], + [ + "a", + "n" + ], + [ + "e", + "d" + ], + [ + "Ġ", + "f" + ], + [ + "a", + "r" + ], + [ + "i", + "t" + ], + [ + "r", + "o" + ], + [ + "in", + "g" + ], + [ + "Ġa", + "n" + ], + [ + "Ġ", + "in" + ], + [ + "Ġ", + "d" + ], + [ + "Ġ", + "w" + ], + [ + "Ġ", + "m" + ], + [ + "i", + "c" + ], + [ + "l", + "e" + ], + [ + "Ġ", + "b" + ], + [ + "Ġan", + "d" + ], + [ + "a", + "tion" + ], + [ + "a", + "s" + ], + [ + "Ġ", + "e" + ], + [ + "e", + "l" + ], + [ + "Ġt", + "o" + ], + [ + "e", + "t" + ], + [ + "en", + "t" + ], + [ + "Ġ", + "re" + ], + [ + "s", + "t" + ], + [ + "c", + "t" + ], + [ + "Ġt", + "h" + ], + [ + "o", + "m" + ], + [ + "i", + "m" + ], + [ + "u", + "l" + ], + [ + "r", + "a" + ], + [ + "Ġ", + "n" + ], + [ + "v", + "e" + ], + [ + "l", + "y" + ], + [ + "o", + "d" + ], + [ + "u", + "r" + ], + [ + "u", + "n" + ], + [ + "s", + "i" + ], + [ + "c", + "e" + ], + [ + "Ġ", + "is" + ], + [ + "Ġ", + "l" + ], + [ + "Ġf", + "or" + ], + [ + "u", + "s" + ], + [ + "it", + "h" + ], + [ + "Ġ", + "T" + ], + [ + "o", + "l" + ], + [ + "Ġ", + "g" + ], + [ + "Ġs", + "t" + ], + [ + "Ġp", + "ro" + ], + [ + "c", + "h" + ], + [ + "o", + "w" + ], + [ + "ti", + "c" + ], + [ + "Ġc", + "on" + ], + [ + "q", + "u" + ], + [ + "Ġ", + "h" + ], + [ + "p", + "er" + ], + [ + "Ġ", + "on" + ], + [ + "i", + "g" + ], + [ + "a", + "m" + ], + [ + "re", + "s" + ], + [ + "Ġw", + "ith" + ], + [ + "Ġth", + "at" + ], + [ + "Ġ", + "W" + ], + [ + "v", + "er" + ], + [ + "u", + "m" + ], + [ + "Ġ", + "$" + ], + [ + "i", + "l" + ], + [ + "Ġe", + "x" + ], + [ + "u", + "t" + ], + [ + "s", + "e" + ], + [ + "o", + "t" + ], + [ + "at", + "e" + ], + [ + "e", + "c" + ], + [ + "i", + "d" + ], + [ + "e", + "m" + ], + [ + "it", + "y" + ], + [ + "Ġw", + "e" + ], + [ + "p", + "l" + ], + [ + "ĠW", + "e" + ], + [ + "i", + "f" + ], + [ + "Ġ", + "(" + ], + [ + "a", + "b" + ], + [ + "g", + "e" + ], + [ + "ĠT", + "he" + ], + [ + "r", + "i" + ], + [ + "t", + "er" + ], + [ + "t", + "he" + ], + [ + "Ġa", + "l" + ], + [ + "Ġa", + "s" + ], + [ + "Ġb", + "e" + ], + [ + "Ġa", + "re" + ], + [ + "e", + "ct" + ], + [ + "om", + "p" + ], + [ + "c", + "tion" + ], + [ + "ation", + "s" + ], + [ + "u", + "re" + ], + [ + "Ġ", + "I" + ], + [ + "Ġm", + "od" + ], + [ + "Ġ", + "v" + ], + [ + "i", + "r" + ], + [ + "o", + "s" + ], + [ + "Ġs", + "u" + ], + [ + "Ġb", + "y" + ], + [ + "t", + "s" + ], + [ + "Ġs", + "p" + ], + [ + "p", + "ro" + ], + [ + "un", + "d" + ], + [ + "i", + "z" + ], + [ + "a", + "c" + ], + [ + "ic", + "al" + ], + [ + "f", + "or" + ], + [ + "r", + "an" + ], + [ + "an", + "t" + ], + [ + "Ġc", + "omp" + ], + [ + "d", + "i" + ], + [ + "a", + "in" + ], + [ + "Ġw", + "h" + ], + [ + "en", + "er" + ], + [ + "re", + "n" + ], + [ + "ro", + "m" + ], + [ + "Ġmod", + "el" + ], + [ + "Ġ", + "us" + ], + [ + "Ġ", + "A" + ], + [ + "Ġth", + "is" + ], + [ + "is", + "t" + ], + [ + "ti", + "ve" + ], + [ + "Ġre", + "s" + ], + [ + "si", + "on" + ], + [ + "a", + "g" + ], + [ + "Ġd", + "e" + ], + [ + "d", + "u" + ], + [ + "Ġs", + "h" + ], + [ + "es", + "s" + ], + [ + "Ġa", + "t" + ], + [ + "Ġ", + "S" + ], + [ + "o", + "c" + ] + ] + } +} \ No newline at end of file diff --git a/tiny_llm_pretrain/checkpoint-10000/tokenizer_config.json b/tiny_llm_pretrain/checkpoint-10000/tokenizer_config.json new file mode 100644 index 0000000..de8a4d6 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/tokenizer_config.json @@ -0,0 +1,41 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|endoftext|>", + "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|endoftext|>", + "tokenizer_class": "PreTrainedTokenizerFast", + "unk_token": "<|endoftext|>" +} diff --git a/tiny_llm_pretrain/checkpoint-10000/trainer_state.json b/tiny_llm_pretrain/checkpoint-10000/trainer_state.json new file mode 100644 index 0000000..bee10e3 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/trainer_state.json @@ -0,0 +1,14033 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 10000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0005, + "grad_norm": 1.9079082012176514, + "learning_rate": 0.0001, + "loss": 5.5891, + "step": 5 + }, + { + "epoch": 0.001, + "grad_norm": 0.7927042841911316, + "learning_rate": 0.0002, + "loss": 5.1812, + "step": 10 + }, + { + "epoch": 0.0015, + "grad_norm": 0.6806358098983765, + "learning_rate": 0.0001998998998998999, + "loss": 4.9562, + "step": 15 + }, + { + "epoch": 0.002, + "grad_norm": 1.6273939609527588, + "learning_rate": 0.0001997997997997998, + "loss": 4.7403, + "step": 20 + }, + { + "epoch": 0.0025, + "grad_norm": 0.7797424793243408, + "learning_rate": 0.0001996996996996997, + "loss": 4.4994, + "step": 25 + }, + { + "epoch": 0.003, + "grad_norm": 0.6761952638626099, + "learning_rate": 0.0001995995995995996, + "loss": 4.315, + "step": 30 + }, + { + "epoch": 0.0035, + "grad_norm": 0.6525298953056335, + "learning_rate": 0.0001994994994994995, + "loss": 4.1599, + "step": 35 + }, + { + "epoch": 0.004, + "grad_norm": 0.8141308426856995, + "learning_rate": 0.0001993993993993994, + "loss": 4.0421, + "step": 40 + }, + { + "epoch": 0.0045, + "grad_norm": 0.7103850841522217, + "learning_rate": 0.00019929929929929932, + "loss": 3.9519, + "step": 45 + }, + { + "epoch": 0.005, + "grad_norm": 0.4970089793205261, + "learning_rate": 0.0001991991991991992, + "loss": 3.8788, + "step": 50 + }, + { + "epoch": 0.0055, + "grad_norm": 1.0156959295272827, + "learning_rate": 0.00019909909909909912, + "loss": 3.8267, + "step": 55 + }, + { + "epoch": 0.006, + "grad_norm": 0.6486234664916992, + "learning_rate": 0.000198998998998999, + "loss": 3.7721, + "step": 60 + }, + { + "epoch": 0.0065, + "grad_norm": 0.560275673866272, + "learning_rate": 0.0001988988988988989, + "loss": 3.7394, + "step": 65 + }, + { + "epoch": 0.007, + "grad_norm": 0.6026498675346375, + "learning_rate": 0.0001987987987987988, + "loss": 3.7272, + "step": 70 + }, + { + "epoch": 0.0075, + "grad_norm": 0.502984881401062, + "learning_rate": 0.0001986986986986987, + "loss": 3.6899, + "step": 75 + }, + { + "epoch": 0.008, + "grad_norm": 0.45901086926460266, + "learning_rate": 0.0001985985985985986, + "loss": 3.664, + "step": 80 + }, + { + "epoch": 0.0085, + "grad_norm": 0.6574872732162476, + "learning_rate": 0.0001984984984984985, + "loss": 3.6586, + "step": 85 + }, + { + "epoch": 0.009, + "grad_norm": 0.5188643932342529, + "learning_rate": 0.0001983983983983984, + "loss": 3.6381, + "step": 90 + }, + { + "epoch": 0.0095, + "grad_norm": 0.46534261107444763, + "learning_rate": 0.00019829829829829833, + "loss": 3.6189, + "step": 95 + }, + { + "epoch": 0.01, + "grad_norm": 0.5883278250694275, + "learning_rate": 0.0001981981981981982, + "loss": 3.5719, + "step": 100 + }, + { + "epoch": 0.0105, + "grad_norm": 0.5875305533409119, + "learning_rate": 0.00019809809809809813, + "loss": 3.5682, + "step": 105 + }, + { + "epoch": 0.011, + "grad_norm": 0.6514595746994019, + "learning_rate": 0.000197997997997998, + "loss": 3.5454, + "step": 110 + }, + { + "epoch": 0.0115, + "grad_norm": 0.7901559472084045, + "learning_rate": 0.0001978978978978979, + "loss": 3.535, + "step": 115 + }, + { + "epoch": 0.012, + "grad_norm": 0.8417282700538635, + "learning_rate": 0.0001977977977977978, + "loss": 3.499, + "step": 120 + }, + { + "epoch": 0.0125, + "grad_norm": 0.5768285393714905, + "learning_rate": 0.0001976976976976977, + "loss": 3.4973, + "step": 125 + }, + { + "epoch": 0.013, + "grad_norm": 0.5534257292747498, + "learning_rate": 0.0001975975975975976, + "loss": 3.443, + "step": 130 + }, + { + "epoch": 0.0135, + "grad_norm": 0.6167763471603394, + "learning_rate": 0.0001974974974974975, + "loss": 3.4109, + "step": 135 + }, + { + "epoch": 0.014, + "grad_norm": 0.7287874221801758, + "learning_rate": 0.00019739739739739739, + "loss": 3.3787, + "step": 140 + }, + { + "epoch": 0.0145, + "grad_norm": 0.5176478028297424, + "learning_rate": 0.0001972972972972973, + "loss": 3.3451, + "step": 145 + }, + { + "epoch": 0.015, + "grad_norm": 0.5850136280059814, + "learning_rate": 0.0001971971971971972, + "loss": 3.3066, + "step": 150 + }, + { + "epoch": 0.0155, + "grad_norm": 0.7310737371444702, + "learning_rate": 0.00019709709709709713, + "loss": 3.2662, + "step": 155 + }, + { + "epoch": 0.016, + "grad_norm": 0.6415804028511047, + "learning_rate": 0.00019699699699699701, + "loss": 3.2275, + "step": 160 + }, + { + "epoch": 0.0165, + "grad_norm": 0.6757485270500183, + "learning_rate": 0.0001968968968968969, + "loss": 3.1872, + "step": 165 + }, + { + "epoch": 0.017, + "grad_norm": 0.6382904052734375, + "learning_rate": 0.00019679679679679681, + "loss": 3.1226, + "step": 170 + }, + { + "epoch": 0.0175, + "grad_norm": 0.754895806312561, + "learning_rate": 0.0001966966966966967, + "loss": 3.0844, + "step": 175 + }, + { + "epoch": 0.018, + "grad_norm": 0.6877201795578003, + "learning_rate": 0.00019659659659659661, + "loss": 3.0516, + "step": 180 + }, + { + "epoch": 0.0185, + "grad_norm": 0.7147930264472961, + "learning_rate": 0.0001964964964964965, + "loss": 3.0131, + "step": 185 + }, + { + "epoch": 0.019, + "grad_norm": 0.6776050329208374, + "learning_rate": 0.0001963963963963964, + "loss": 2.9869, + "step": 190 + }, + { + "epoch": 0.0195, + "grad_norm": 0.7239454388618469, + "learning_rate": 0.0001962962962962963, + "loss": 2.9589, + "step": 195 + }, + { + "epoch": 0.02, + "grad_norm": 0.6836283802986145, + "learning_rate": 0.00019619619619619621, + "loss": 2.8852, + "step": 200 + }, + { + "epoch": 0.0205, + "grad_norm": 0.9422793984413147, + "learning_rate": 0.00019609609609609613, + "loss": 2.879, + "step": 205 + }, + { + "epoch": 0.021, + "grad_norm": 0.6841469407081604, + "learning_rate": 0.00019599599599599602, + "loss": 2.8571, + "step": 210 + }, + { + "epoch": 0.0215, + "grad_norm": 0.6966745257377625, + "learning_rate": 0.0001958958958958959, + "loss": 2.7985, + "step": 215 + }, + { + "epoch": 0.022, + "grad_norm": 0.8714805841445923, + "learning_rate": 0.00019579579579579582, + "loss": 2.7878, + "step": 220 + }, + { + "epoch": 0.0225, + "grad_norm": 0.7409490346908569, + "learning_rate": 0.0001956956956956957, + "loss": 2.7447, + "step": 225 + }, + { + "epoch": 0.023, + "grad_norm": 0.7043179273605347, + "learning_rate": 0.00019559559559559562, + "loss": 2.7465, + "step": 230 + }, + { + "epoch": 0.0235, + "grad_norm": 0.756272554397583, + "learning_rate": 0.0001954954954954955, + "loss": 2.7175, + "step": 235 + }, + { + "epoch": 0.024, + "grad_norm": 0.7182954549789429, + "learning_rate": 0.0001953953953953954, + "loss": 2.6932, + "step": 240 + }, + { + "epoch": 0.0245, + "grad_norm": 0.8014600276947021, + "learning_rate": 0.0001952952952952953, + "loss": 2.6721, + "step": 245 + }, + { + "epoch": 0.025, + "grad_norm": 0.7439653277397156, + "learning_rate": 0.0001951951951951952, + "loss": 2.6526, + "step": 250 + }, + { + "epoch": 0.0255, + "grad_norm": 0.7318114042282104, + "learning_rate": 0.0001950950950950951, + "loss": 2.6535, + "step": 255 + }, + { + "epoch": 0.026, + "grad_norm": 0.7556585073471069, + "learning_rate": 0.00019499499499499502, + "loss": 2.6466, + "step": 260 + }, + { + "epoch": 0.0265, + "grad_norm": 0.7585588693618774, + "learning_rate": 0.0001948948948948949, + "loss": 2.6062, + "step": 265 + }, + { + "epoch": 0.027, + "grad_norm": 0.7325690388679504, + "learning_rate": 0.00019479479479479482, + "loss": 2.604, + "step": 270 + }, + { + "epoch": 0.0275, + "grad_norm": 0.7965534925460815, + "learning_rate": 0.0001946946946946947, + "loss": 2.5905, + "step": 275 + }, + { + "epoch": 0.028, + "grad_norm": 0.8178598880767822, + "learning_rate": 0.00019459459459459462, + "loss": 2.5676, + "step": 280 + }, + { + "epoch": 0.0285, + "grad_norm": 0.750317394733429, + "learning_rate": 0.0001944944944944945, + "loss": 2.562, + "step": 285 + }, + { + "epoch": 0.029, + "grad_norm": 0.7719892263412476, + "learning_rate": 0.0001943943943943944, + "loss": 2.562, + "step": 290 + }, + { + "epoch": 0.0295, + "grad_norm": 0.8082327246665955, + "learning_rate": 0.0001942942942942943, + "loss": 2.5188, + "step": 295 + }, + { + "epoch": 0.03, + "grad_norm": 0.8357940912246704, + "learning_rate": 0.0001941941941941942, + "loss": 2.5437, + "step": 300 + }, + { + "epoch": 0.0305, + "grad_norm": 0.789130687713623, + "learning_rate": 0.0001940940940940941, + "loss": 2.5006, + "step": 305 + }, + { + "epoch": 0.031, + "grad_norm": 0.8761134743690491, + "learning_rate": 0.00019399399399399402, + "loss": 2.5121, + "step": 310 + }, + { + "epoch": 0.0315, + "grad_norm": 0.7823195457458496, + "learning_rate": 0.0001938938938938939, + "loss": 2.52, + "step": 315 + }, + { + "epoch": 0.032, + "grad_norm": 0.7430358529090881, + "learning_rate": 0.00019379379379379382, + "loss": 2.5108, + "step": 320 + }, + { + "epoch": 0.0325, + "grad_norm": 0.7893998026847839, + "learning_rate": 0.0001936936936936937, + "loss": 2.4943, + "step": 325 + }, + { + "epoch": 0.033, + "grad_norm": 0.79250568151474, + "learning_rate": 0.0001935935935935936, + "loss": 2.5005, + "step": 330 + }, + { + "epoch": 0.0335, + "grad_norm": 0.9912872910499573, + "learning_rate": 0.0001934934934934935, + "loss": 2.4595, + "step": 335 + }, + { + "epoch": 0.034, + "grad_norm": 0.7901522517204285, + "learning_rate": 0.0001933933933933934, + "loss": 2.4501, + "step": 340 + }, + { + "epoch": 0.0345, + "grad_norm": 0.7800329327583313, + "learning_rate": 0.0001932932932932933, + "loss": 2.46, + "step": 345 + }, + { + "epoch": 0.035, + "grad_norm": 0.838046669960022, + "learning_rate": 0.0001931931931931932, + "loss": 2.4495, + "step": 350 + }, + { + "epoch": 0.0355, + "grad_norm": 0.7794272899627686, + "learning_rate": 0.00019309309309309308, + "loss": 2.4537, + "step": 355 + }, + { + "epoch": 0.036, + "grad_norm": 0.8007591962814331, + "learning_rate": 0.000192992992992993, + "loss": 2.4339, + "step": 360 + }, + { + "epoch": 0.0365, + "grad_norm": 0.8491222262382507, + "learning_rate": 0.0001928928928928929, + "loss": 2.4461, + "step": 365 + }, + { + "epoch": 0.037, + "grad_norm": 0.8045406937599182, + "learning_rate": 0.00019279279279279282, + "loss": 2.4192, + "step": 370 + }, + { + "epoch": 0.0375, + "grad_norm": 0.8075376152992249, + "learning_rate": 0.0001926926926926927, + "loss": 2.4254, + "step": 375 + }, + { + "epoch": 0.038, + "grad_norm": 0.7965284585952759, + "learning_rate": 0.0001925925925925926, + "loss": 2.4136, + "step": 380 + }, + { + "epoch": 0.0385, + "grad_norm": 0.8071419596672058, + "learning_rate": 0.0001924924924924925, + "loss": 2.4018, + "step": 385 + }, + { + "epoch": 0.039, + "grad_norm": 0.7852412462234497, + "learning_rate": 0.0001923923923923924, + "loss": 2.3948, + "step": 390 + }, + { + "epoch": 0.0395, + "grad_norm": 0.7773271799087524, + "learning_rate": 0.0001922922922922923, + "loss": 2.3731, + "step": 395 + }, + { + "epoch": 0.04, + "grad_norm": 0.943693220615387, + "learning_rate": 0.0001921921921921922, + "loss": 2.4004, + "step": 400 + }, + { + "epoch": 0.0405, + "grad_norm": 0.8425918817520142, + "learning_rate": 0.00019209209209209208, + "loss": 2.3765, + "step": 405 + }, + { + "epoch": 0.041, + "grad_norm": 0.7713614702224731, + "learning_rate": 0.000191991991991992, + "loss": 2.3505, + "step": 410 + }, + { + "epoch": 0.0415, + "grad_norm": 0.9050373435020447, + "learning_rate": 0.0001918918918918919, + "loss": 2.3851, + "step": 415 + }, + { + "epoch": 0.042, + "grad_norm": 0.9341697096824646, + "learning_rate": 0.00019179179179179182, + "loss": 2.393, + "step": 420 + }, + { + "epoch": 0.0425, + "grad_norm": 0.9182080626487732, + "learning_rate": 0.0001916916916916917, + "loss": 2.3528, + "step": 425 + }, + { + "epoch": 0.043, + "grad_norm": 0.8569957613945007, + "learning_rate": 0.0001915915915915916, + "loss": 2.3723, + "step": 430 + }, + { + "epoch": 0.0435, + "grad_norm": 0.8590387105941772, + "learning_rate": 0.0001914914914914915, + "loss": 2.3591, + "step": 435 + }, + { + "epoch": 0.044, + "grad_norm": 0.8434947729110718, + "learning_rate": 0.0001913913913913914, + "loss": 2.3316, + "step": 440 + }, + { + "epoch": 0.0445, + "grad_norm": 0.8210241794586182, + "learning_rate": 0.0001912912912912913, + "loss": 2.3346, + "step": 445 + }, + { + "epoch": 0.045, + "grad_norm": 0.815951943397522, + "learning_rate": 0.0001911911911911912, + "loss": 2.3335, + "step": 450 + }, + { + "epoch": 0.0455, + "grad_norm": 0.8260611891746521, + "learning_rate": 0.00019109109109109108, + "loss": 2.3345, + "step": 455 + }, + { + "epoch": 0.046, + "grad_norm": 0.8018535375595093, + "learning_rate": 0.000190990990990991, + "loss": 2.3162, + "step": 460 + }, + { + "epoch": 0.0465, + "grad_norm": 0.7817215919494629, + "learning_rate": 0.00019089089089089088, + "loss": 2.3227, + "step": 465 + }, + { + "epoch": 0.047, + "grad_norm": 0.8590435981750488, + "learning_rate": 0.0001907907907907908, + "loss": 2.3195, + "step": 470 + }, + { + "epoch": 0.0475, + "grad_norm": 0.834904670715332, + "learning_rate": 0.0001906906906906907, + "loss": 2.3172, + "step": 475 + }, + { + "epoch": 0.048, + "grad_norm": 0.7928949594497681, + "learning_rate": 0.0001905905905905906, + "loss": 2.3117, + "step": 480 + }, + { + "epoch": 0.0485, + "grad_norm": 0.7825335264205933, + "learning_rate": 0.0001904904904904905, + "loss": 2.2934, + "step": 485 + }, + { + "epoch": 0.049, + "grad_norm": 0.8034011125564575, + "learning_rate": 0.0001903903903903904, + "loss": 2.2964, + "step": 490 + }, + { + "epoch": 0.0495, + "grad_norm": 0.8105394840240479, + "learning_rate": 0.0001902902902902903, + "loss": 2.3114, + "step": 495 + }, + { + "epoch": 0.05, + "grad_norm": 0.7957478165626526, + "learning_rate": 0.0001901901901901902, + "loss": 2.3039, + "step": 500 + }, + { + "epoch": 0.0505, + "grad_norm": 0.8164071440696716, + "learning_rate": 0.00019009009009009008, + "loss": 2.2803, + "step": 505 + }, + { + "epoch": 0.051, + "grad_norm": 0.8089556097984314, + "learning_rate": 0.00018998998998999, + "loss": 2.2965, + "step": 510 + }, + { + "epoch": 0.0515, + "grad_norm": 0.7860431671142578, + "learning_rate": 0.00018988988988988988, + "loss": 2.2686, + "step": 515 + }, + { + "epoch": 0.052, + "grad_norm": 0.859445333480835, + "learning_rate": 0.0001897897897897898, + "loss": 2.2996, + "step": 520 + }, + { + "epoch": 0.0525, + "grad_norm": 0.8138173818588257, + "learning_rate": 0.0001896896896896897, + "loss": 2.3295, + "step": 525 + }, + { + "epoch": 0.053, + "grad_norm": 0.7922393679618835, + "learning_rate": 0.0001895895895895896, + "loss": 2.2671, + "step": 530 + }, + { + "epoch": 0.0535, + "grad_norm": 0.8085952401161194, + "learning_rate": 0.0001894894894894895, + "loss": 2.2899, + "step": 535 + }, + { + "epoch": 0.054, + "grad_norm": 0.8285341858863831, + "learning_rate": 0.0001893893893893894, + "loss": 2.2911, + "step": 540 + }, + { + "epoch": 0.0545, + "grad_norm": 0.801395833492279, + "learning_rate": 0.0001892892892892893, + "loss": 2.2729, + "step": 545 + }, + { + "epoch": 0.055, + "grad_norm": 0.8205108642578125, + "learning_rate": 0.0001891891891891892, + "loss": 2.2709, + "step": 550 + }, + { + "epoch": 0.0555, + "grad_norm": 0.821998119354248, + "learning_rate": 0.00018908908908908908, + "loss": 2.2847, + "step": 555 + }, + { + "epoch": 0.056, + "grad_norm": 0.8000075221061707, + "learning_rate": 0.000188988988988989, + "loss": 2.2663, + "step": 560 + }, + { + "epoch": 0.0565, + "grad_norm": 0.8233977556228638, + "learning_rate": 0.00018888888888888888, + "loss": 2.261, + "step": 565 + }, + { + "epoch": 0.057, + "grad_norm": 0.8421242833137512, + "learning_rate": 0.0001887887887887888, + "loss": 2.2626, + "step": 570 + }, + { + "epoch": 0.0575, + "grad_norm": 0.8450160026550293, + "learning_rate": 0.00018868868868868868, + "loss": 2.2755, + "step": 575 + }, + { + "epoch": 0.058, + "grad_norm": 0.8315795660018921, + "learning_rate": 0.0001885885885885886, + "loss": 2.2381, + "step": 580 + }, + { + "epoch": 0.0585, + "grad_norm": 0.8966110348701477, + "learning_rate": 0.0001884884884884885, + "loss": 2.2517, + "step": 585 + }, + { + "epoch": 0.059, + "grad_norm": 0.8162801861763, + "learning_rate": 0.0001883883883883884, + "loss": 2.2629, + "step": 590 + }, + { + "epoch": 0.0595, + "grad_norm": 0.7899118661880493, + "learning_rate": 0.0001882882882882883, + "loss": 2.2304, + "step": 595 + }, + { + "epoch": 0.06, + "grad_norm": 0.8371149301528931, + "learning_rate": 0.0001881881881881882, + "loss": 2.2232, + "step": 600 + }, + { + "epoch": 0.0605, + "grad_norm": 0.8292490243911743, + "learning_rate": 0.00018808808808808809, + "loss": 2.2416, + "step": 605 + }, + { + "epoch": 0.061, + "grad_norm": 0.775081217288971, + "learning_rate": 0.000187987987987988, + "loss": 2.2547, + "step": 610 + }, + { + "epoch": 0.0615, + "grad_norm": 0.8445130586624146, + "learning_rate": 0.00018788788788788789, + "loss": 2.2243, + "step": 615 + }, + { + "epoch": 0.062, + "grad_norm": 0.9159201383590698, + "learning_rate": 0.0001877877877877878, + "loss": 2.2423, + "step": 620 + }, + { + "epoch": 0.0625, + "grad_norm": 0.8316602110862732, + "learning_rate": 0.00018768768768768769, + "loss": 2.2489, + "step": 625 + }, + { + "epoch": 0.063, + "grad_norm": 0.8371139764785767, + "learning_rate": 0.0001875875875875876, + "loss": 2.2255, + "step": 630 + }, + { + "epoch": 0.0635, + "grad_norm": 0.7829753756523132, + "learning_rate": 0.0001874874874874875, + "loss": 2.2279, + "step": 635 + }, + { + "epoch": 0.064, + "grad_norm": 0.8447110652923584, + "learning_rate": 0.0001873873873873874, + "loss": 2.2392, + "step": 640 + }, + { + "epoch": 0.0645, + "grad_norm": 0.8826359510421753, + "learning_rate": 0.00018728728728728731, + "loss": 2.2343, + "step": 645 + }, + { + "epoch": 0.065, + "grad_norm": 0.9065181016921997, + "learning_rate": 0.0001871871871871872, + "loss": 2.2295, + "step": 650 + }, + { + "epoch": 0.0655, + "grad_norm": 0.849250316619873, + "learning_rate": 0.0001870870870870871, + "loss": 2.2214, + "step": 655 + }, + { + "epoch": 0.066, + "grad_norm": 0.7951939105987549, + "learning_rate": 0.000186986986986987, + "loss": 2.2028, + "step": 660 + }, + { + "epoch": 0.0665, + "grad_norm": 0.8047727942466736, + "learning_rate": 0.0001868868868868869, + "loss": 2.2092, + "step": 665 + }, + { + "epoch": 0.067, + "grad_norm": 0.8044347167015076, + "learning_rate": 0.0001867867867867868, + "loss": 2.214, + "step": 670 + }, + { + "epoch": 0.0675, + "grad_norm": 0.831087052822113, + "learning_rate": 0.0001866866866866867, + "loss": 2.1976, + "step": 675 + }, + { + "epoch": 0.068, + "grad_norm": 0.818250298500061, + "learning_rate": 0.00018658658658658657, + "loss": 2.211, + "step": 680 + }, + { + "epoch": 0.0685, + "grad_norm": 0.8615385890007019, + "learning_rate": 0.0001864864864864865, + "loss": 2.2073, + "step": 685 + }, + { + "epoch": 0.069, + "grad_norm": 0.7918171882629395, + "learning_rate": 0.0001863863863863864, + "loss": 2.222, + "step": 690 + }, + { + "epoch": 0.0695, + "grad_norm": 0.7995744347572327, + "learning_rate": 0.00018628628628628632, + "loss": 2.1958, + "step": 695 + }, + { + "epoch": 0.07, + "grad_norm": 0.8070845603942871, + "learning_rate": 0.0001861861861861862, + "loss": 2.2098, + "step": 700 + }, + { + "epoch": 0.0705, + "grad_norm": 0.7857322692871094, + "learning_rate": 0.0001860860860860861, + "loss": 2.195, + "step": 705 + }, + { + "epoch": 0.071, + "grad_norm": 0.8171130418777466, + "learning_rate": 0.000185985985985986, + "loss": 2.1882, + "step": 710 + }, + { + "epoch": 0.0715, + "grad_norm": 0.8484584093093872, + "learning_rate": 0.0001858858858858859, + "loss": 2.1875, + "step": 715 + }, + { + "epoch": 0.072, + "grad_norm": 0.7893686890602112, + "learning_rate": 0.0001857857857857858, + "loss": 2.2256, + "step": 720 + }, + { + "epoch": 0.0725, + "grad_norm": 0.8339685797691345, + "learning_rate": 0.0001856856856856857, + "loss": 2.2197, + "step": 725 + }, + { + "epoch": 0.073, + "grad_norm": 0.8456217646598816, + "learning_rate": 0.00018558558558558558, + "loss": 2.1971, + "step": 730 + }, + { + "epoch": 0.0735, + "grad_norm": 0.8281363844871521, + "learning_rate": 0.0001854854854854855, + "loss": 2.1801, + "step": 735 + }, + { + "epoch": 0.074, + "grad_norm": 0.8099832534790039, + "learning_rate": 0.0001853853853853854, + "loss": 2.1826, + "step": 740 + }, + { + "epoch": 0.0745, + "grad_norm": 0.8337610960006714, + "learning_rate": 0.00018528528528528532, + "loss": 2.185, + "step": 745 + }, + { + "epoch": 0.075, + "grad_norm": 0.8083080053329468, + "learning_rate": 0.0001851851851851852, + "loss": 2.1803, + "step": 750 + }, + { + "epoch": 0.0755, + "grad_norm": 0.7984271049499512, + "learning_rate": 0.0001850850850850851, + "loss": 2.203, + "step": 755 + }, + { + "epoch": 0.076, + "grad_norm": 0.8373366594314575, + "learning_rate": 0.000184984984984985, + "loss": 2.1887, + "step": 760 + }, + { + "epoch": 0.0765, + "grad_norm": 0.8333912491798401, + "learning_rate": 0.0001848848848848849, + "loss": 2.1863, + "step": 765 + }, + { + "epoch": 0.077, + "grad_norm": 0.8119728565216064, + "learning_rate": 0.0001847847847847848, + "loss": 2.2026, + "step": 770 + }, + { + "epoch": 0.0775, + "grad_norm": 0.8200430274009705, + "learning_rate": 0.0001846846846846847, + "loss": 2.1644, + "step": 775 + }, + { + "epoch": 0.078, + "grad_norm": 0.797855019569397, + "learning_rate": 0.00018458458458458458, + "loss": 2.1739, + "step": 780 + }, + { + "epoch": 0.0785, + "grad_norm": 0.8249688148498535, + "learning_rate": 0.0001844844844844845, + "loss": 2.1716, + "step": 785 + }, + { + "epoch": 0.079, + "grad_norm": 0.8358808159828186, + "learning_rate": 0.00018438438438438438, + "loss": 2.1849, + "step": 790 + }, + { + "epoch": 0.0795, + "grad_norm": 0.8711438179016113, + "learning_rate": 0.0001842842842842843, + "loss": 2.1695, + "step": 795 + }, + { + "epoch": 0.08, + "grad_norm": 0.9179810881614685, + "learning_rate": 0.0001841841841841842, + "loss": 2.1597, + "step": 800 + }, + { + "epoch": 0.0805, + "grad_norm": 0.8647555708885193, + "learning_rate": 0.0001840840840840841, + "loss": 2.1918, + "step": 805 + }, + { + "epoch": 0.081, + "grad_norm": 0.8114230036735535, + "learning_rate": 0.000183983983983984, + "loss": 2.163, + "step": 810 + }, + { + "epoch": 0.0815, + "grad_norm": 0.8165040612220764, + "learning_rate": 0.0001838838838838839, + "loss": 2.1833, + "step": 815 + }, + { + "epoch": 0.082, + "grad_norm": 0.8150405287742615, + "learning_rate": 0.0001837837837837838, + "loss": 2.1452, + "step": 820 + }, + { + "epoch": 0.0825, + "grad_norm": 0.8312757015228271, + "learning_rate": 0.0001836836836836837, + "loss": 2.1535, + "step": 825 + }, + { + "epoch": 0.083, + "grad_norm": 0.7952617406845093, + "learning_rate": 0.00018358358358358358, + "loss": 2.1463, + "step": 830 + }, + { + "epoch": 0.0835, + "grad_norm": 0.855327308177948, + "learning_rate": 0.0001834834834834835, + "loss": 2.1622, + "step": 835 + }, + { + "epoch": 0.084, + "grad_norm": 0.8281525373458862, + "learning_rate": 0.00018338338338338338, + "loss": 2.149, + "step": 840 + }, + { + "epoch": 0.0845, + "grad_norm": 0.8069710731506348, + "learning_rate": 0.0001832832832832833, + "loss": 2.1548, + "step": 845 + }, + { + "epoch": 0.085, + "grad_norm": 0.8265529870986938, + "learning_rate": 0.0001831831831831832, + "loss": 2.1588, + "step": 850 + }, + { + "epoch": 0.0855, + "grad_norm": 0.8836376667022705, + "learning_rate": 0.0001830830830830831, + "loss": 2.1503, + "step": 855 + }, + { + "epoch": 0.086, + "grad_norm": 0.8916524648666382, + "learning_rate": 0.000182982982982983, + "loss": 2.1771, + "step": 860 + }, + { + "epoch": 0.0865, + "grad_norm": 0.9221314787864685, + "learning_rate": 0.0001828828828828829, + "loss": 2.1462, + "step": 865 + }, + { + "epoch": 0.087, + "grad_norm": 0.9381101727485657, + "learning_rate": 0.0001827827827827828, + "loss": 2.1593, + "step": 870 + }, + { + "epoch": 0.0875, + "grad_norm": 0.8455514311790466, + "learning_rate": 0.0001826826826826827, + "loss": 2.151, + "step": 875 + }, + { + "epoch": 0.088, + "grad_norm": 0.89353346824646, + "learning_rate": 0.00018258258258258258, + "loss": 2.1447, + "step": 880 + }, + { + "epoch": 0.0885, + "grad_norm": 0.9089289903640747, + "learning_rate": 0.0001824824824824825, + "loss": 2.1531, + "step": 885 + }, + { + "epoch": 0.089, + "grad_norm": 0.8870664238929749, + "learning_rate": 0.00018238238238238238, + "loss": 2.1541, + "step": 890 + }, + { + "epoch": 0.0895, + "grad_norm": 0.9005898237228394, + "learning_rate": 0.0001822822822822823, + "loss": 2.1582, + "step": 895 + }, + { + "epoch": 0.09, + "grad_norm": 0.8735866546630859, + "learning_rate": 0.00018218218218218218, + "loss": 2.1419, + "step": 900 + }, + { + "epoch": 0.0905, + "grad_norm": 0.8308618664741516, + "learning_rate": 0.0001820820820820821, + "loss": 2.1606, + "step": 905 + }, + { + "epoch": 0.091, + "grad_norm": 0.7997368574142456, + "learning_rate": 0.000181981981981982, + "loss": 2.1242, + "step": 910 + }, + { + "epoch": 0.0915, + "grad_norm": 0.804722785949707, + "learning_rate": 0.0001818818818818819, + "loss": 2.1264, + "step": 915 + }, + { + "epoch": 0.092, + "grad_norm": 0.8133739829063416, + "learning_rate": 0.0001817817817817818, + "loss": 2.1403, + "step": 920 + }, + { + "epoch": 0.0925, + "grad_norm": 0.8166353702545166, + "learning_rate": 0.0001816816816816817, + "loss": 2.159, + "step": 925 + }, + { + "epoch": 0.093, + "grad_norm": 0.8658384084701538, + "learning_rate": 0.00018158158158158158, + "loss": 2.1383, + "step": 930 + }, + { + "epoch": 0.0935, + "grad_norm": 0.8393406867980957, + "learning_rate": 0.0001814814814814815, + "loss": 2.1362, + "step": 935 + }, + { + "epoch": 0.094, + "grad_norm": 0.8342397809028625, + "learning_rate": 0.00018138138138138138, + "loss": 2.1218, + "step": 940 + }, + { + "epoch": 0.0945, + "grad_norm": 0.8732867240905762, + "learning_rate": 0.0001812812812812813, + "loss": 2.1378, + "step": 945 + }, + { + "epoch": 0.095, + "grad_norm": 0.8951284289360046, + "learning_rate": 0.00018118118118118118, + "loss": 2.141, + "step": 950 + }, + { + "epoch": 0.0955, + "grad_norm": 0.8014113903045654, + "learning_rate": 0.0001810810810810811, + "loss": 2.1341, + "step": 955 + }, + { + "epoch": 0.096, + "grad_norm": 0.8125712871551514, + "learning_rate": 0.000180980980980981, + "loss": 2.1527, + "step": 960 + }, + { + "epoch": 0.0965, + "grad_norm": 0.8115226030349731, + "learning_rate": 0.0001808808808808809, + "loss": 2.1237, + "step": 965 + }, + { + "epoch": 0.097, + "grad_norm": 0.7778534889221191, + "learning_rate": 0.00018078078078078078, + "loss": 2.133, + "step": 970 + }, + { + "epoch": 0.0975, + "grad_norm": 0.8221558928489685, + "learning_rate": 0.0001806806806806807, + "loss": 2.1301, + "step": 975 + }, + { + "epoch": 0.098, + "grad_norm": 0.8114945888519287, + "learning_rate": 0.00018058058058058058, + "loss": 2.1219, + "step": 980 + }, + { + "epoch": 0.0985, + "grad_norm": 0.8403328657150269, + "learning_rate": 0.0001804804804804805, + "loss": 2.1286, + "step": 985 + }, + { + "epoch": 0.099, + "grad_norm": 0.8078803420066833, + "learning_rate": 0.00018038038038038038, + "loss": 2.1298, + "step": 990 + }, + { + "epoch": 0.0995, + "grad_norm": 0.7954163551330566, + "learning_rate": 0.00018028028028028027, + "loss": 2.1243, + "step": 995 + }, + { + "epoch": 0.1, + "grad_norm": 0.8172447681427002, + "learning_rate": 0.00018018018018018018, + "loss": 2.1422, + "step": 1000 + }, + { + "epoch": 0.1005, + "grad_norm": 0.8081322312355042, + "learning_rate": 0.00018008008008008007, + "loss": 2.1293, + "step": 1005 + }, + { + "epoch": 0.101, + "grad_norm": 0.8215644955635071, + "learning_rate": 0.00017997997997997998, + "loss": 2.1281, + "step": 1010 + }, + { + "epoch": 0.1015, + "grad_norm": 0.8085120916366577, + "learning_rate": 0.0001798798798798799, + "loss": 2.1144, + "step": 1015 + }, + { + "epoch": 0.102, + "grad_norm": 0.8848192691802979, + "learning_rate": 0.00017977977977977978, + "loss": 2.1076, + "step": 1020 + }, + { + "epoch": 0.1025, + "grad_norm": 0.8614477515220642, + "learning_rate": 0.0001796796796796797, + "loss": 2.1271, + "step": 1025 + }, + { + "epoch": 0.103, + "grad_norm": 0.7808970808982849, + "learning_rate": 0.00017957957957957958, + "loss": 2.132, + "step": 1030 + }, + { + "epoch": 0.1035, + "grad_norm": 0.8185530304908752, + "learning_rate": 0.0001794794794794795, + "loss": 2.1138, + "step": 1035 + }, + { + "epoch": 0.104, + "grad_norm": 0.8249826431274414, + "learning_rate": 0.00017937937937937938, + "loss": 2.1203, + "step": 1040 + }, + { + "epoch": 0.1045, + "grad_norm": 0.8197057247161865, + "learning_rate": 0.00017927927927927927, + "loss": 2.1301, + "step": 1045 + }, + { + "epoch": 0.105, + "grad_norm": 0.8169847130775452, + "learning_rate": 0.00017917917917917918, + "loss": 2.1199, + "step": 1050 + }, + { + "epoch": 0.1055, + "grad_norm": 0.8283096551895142, + "learning_rate": 0.00017907907907907907, + "loss": 2.1329, + "step": 1055 + }, + { + "epoch": 0.106, + "grad_norm": 0.8258969783782959, + "learning_rate": 0.00017897897897897898, + "loss": 2.1345, + "step": 1060 + }, + { + "epoch": 0.1065, + "grad_norm": 0.8351008296012878, + "learning_rate": 0.0001788788788788789, + "loss": 2.1043, + "step": 1065 + }, + { + "epoch": 0.107, + "grad_norm": 0.8097892999649048, + "learning_rate": 0.00017877877877877878, + "loss": 2.115, + "step": 1070 + }, + { + "epoch": 0.1075, + "grad_norm": 0.8576760292053223, + "learning_rate": 0.0001786786786786787, + "loss": 2.1142, + "step": 1075 + }, + { + "epoch": 0.108, + "grad_norm": 0.8387484550476074, + "learning_rate": 0.00017857857857857859, + "loss": 2.1179, + "step": 1080 + }, + { + "epoch": 0.1085, + "grad_norm": 0.8194589614868164, + "learning_rate": 0.0001784784784784785, + "loss": 2.096, + "step": 1085 + }, + { + "epoch": 0.109, + "grad_norm": 0.8305883407592773, + "learning_rate": 0.00017837837837837839, + "loss": 2.1312, + "step": 1090 + }, + { + "epoch": 0.1095, + "grad_norm": 0.7996582984924316, + "learning_rate": 0.00017827827827827827, + "loss": 2.1102, + "step": 1095 + }, + { + "epoch": 0.11, + "grad_norm": 0.7716205716133118, + "learning_rate": 0.00017817817817817819, + "loss": 2.1136, + "step": 1100 + }, + { + "epoch": 0.1105, + "grad_norm": 0.8277180194854736, + "learning_rate": 0.00017807807807807807, + "loss": 2.0968, + "step": 1105 + }, + { + "epoch": 0.111, + "grad_norm": 0.8593622446060181, + "learning_rate": 0.00017797797797797799, + "loss": 2.1082, + "step": 1110 + }, + { + "epoch": 0.1115, + "grad_norm": 0.8498421311378479, + "learning_rate": 0.00017787787787787787, + "loss": 2.1008, + "step": 1115 + }, + { + "epoch": 0.112, + "grad_norm": 0.7923771739006042, + "learning_rate": 0.00017777777777777779, + "loss": 2.124, + "step": 1120 + }, + { + "epoch": 0.1125, + "grad_norm": 0.7583004832267761, + "learning_rate": 0.0001776776776776777, + "loss": 2.1046, + "step": 1125 + }, + { + "epoch": 0.113, + "grad_norm": 0.7722444534301758, + "learning_rate": 0.0001775775775775776, + "loss": 2.0927, + "step": 1130 + }, + { + "epoch": 0.1135, + "grad_norm": 0.8124234676361084, + "learning_rate": 0.0001774774774774775, + "loss": 2.0971, + "step": 1135 + }, + { + "epoch": 0.114, + "grad_norm": 0.815171480178833, + "learning_rate": 0.0001773773773773774, + "loss": 2.109, + "step": 1140 + }, + { + "epoch": 0.1145, + "grad_norm": 0.8697826266288757, + "learning_rate": 0.00017727727727727727, + "loss": 2.1232, + "step": 1145 + }, + { + "epoch": 0.115, + "grad_norm": 0.7589493989944458, + "learning_rate": 0.0001771771771771772, + "loss": 2.0896, + "step": 1150 + }, + { + "epoch": 0.1155, + "grad_norm": 0.7957839965820312, + "learning_rate": 0.00017707707707707707, + "loss": 2.0935, + "step": 1155 + }, + { + "epoch": 0.116, + "grad_norm": 0.7996811866760254, + "learning_rate": 0.000176976976976977, + "loss": 2.0873, + "step": 1160 + }, + { + "epoch": 0.1165, + "grad_norm": 0.9038351774215698, + "learning_rate": 0.00017687687687687687, + "loss": 2.1061, + "step": 1165 + }, + { + "epoch": 0.117, + "grad_norm": 0.8256264328956604, + "learning_rate": 0.0001767767767767768, + "loss": 2.101, + "step": 1170 + }, + { + "epoch": 0.1175, + "grad_norm": 0.8364511728286743, + "learning_rate": 0.0001766766766766767, + "loss": 2.0703, + "step": 1175 + }, + { + "epoch": 0.118, + "grad_norm": 0.8705337643623352, + "learning_rate": 0.0001765765765765766, + "loss": 2.0993, + "step": 1180 + }, + { + "epoch": 0.1185, + "grad_norm": 0.817215621471405, + "learning_rate": 0.0001764764764764765, + "loss": 2.0877, + "step": 1185 + }, + { + "epoch": 0.119, + "grad_norm": 0.8533849716186523, + "learning_rate": 0.0001763763763763764, + "loss": 2.1219, + "step": 1190 + }, + { + "epoch": 0.1195, + "grad_norm": 0.8578528761863708, + "learning_rate": 0.00017627627627627627, + "loss": 2.0859, + "step": 1195 + }, + { + "epoch": 0.12, + "grad_norm": 0.9291893243789673, + "learning_rate": 0.0001761761761761762, + "loss": 2.0715, + "step": 1200 + }, + { + "epoch": 0.1205, + "grad_norm": 0.8820558786392212, + "learning_rate": 0.00017607607607607608, + "loss": 2.0945, + "step": 1205 + }, + { + "epoch": 0.121, + "grad_norm": 0.8163352012634277, + "learning_rate": 0.000175975975975976, + "loss": 2.084, + "step": 1210 + }, + { + "epoch": 0.1215, + "grad_norm": 0.8108770847320557, + "learning_rate": 0.00017587587587587588, + "loss": 2.103, + "step": 1215 + }, + { + "epoch": 0.122, + "grad_norm": 0.7584842443466187, + "learning_rate": 0.00017577577577577576, + "loss": 2.1035, + "step": 1220 + }, + { + "epoch": 0.1225, + "grad_norm": 0.8116704225540161, + "learning_rate": 0.00017567567567567568, + "loss": 2.0872, + "step": 1225 + }, + { + "epoch": 0.123, + "grad_norm": 0.8035491108894348, + "learning_rate": 0.0001755755755755756, + "loss": 2.0806, + "step": 1230 + }, + { + "epoch": 0.1235, + "grad_norm": 0.8007566332817078, + "learning_rate": 0.0001754754754754755, + "loss": 2.0872, + "step": 1235 + }, + { + "epoch": 0.124, + "grad_norm": 0.8226689100265503, + "learning_rate": 0.0001753753753753754, + "loss": 2.0863, + "step": 1240 + }, + { + "epoch": 0.1245, + "grad_norm": 0.7925471663475037, + "learning_rate": 0.00017527527527527528, + "loss": 2.0818, + "step": 1245 + }, + { + "epoch": 0.125, + "grad_norm": 0.8135493397712708, + "learning_rate": 0.0001751751751751752, + "loss": 2.1068, + "step": 1250 + }, + { + "epoch": 0.1255, + "grad_norm": 0.7937769889831543, + "learning_rate": 0.00017507507507507508, + "loss": 2.076, + "step": 1255 + }, + { + "epoch": 0.126, + "grad_norm": 0.774671733379364, + "learning_rate": 0.000174974974974975, + "loss": 2.0856, + "step": 1260 + }, + { + "epoch": 0.1265, + "grad_norm": 0.772739589214325, + "learning_rate": 0.00017487487487487488, + "loss": 2.0804, + "step": 1265 + }, + { + "epoch": 0.127, + "grad_norm": 0.7890838980674744, + "learning_rate": 0.00017477477477477476, + "loss": 2.074, + "step": 1270 + }, + { + "epoch": 0.1275, + "grad_norm": 0.8244984149932861, + "learning_rate": 0.00017467467467467468, + "loss": 2.0829, + "step": 1275 + }, + { + "epoch": 0.128, + "grad_norm": 0.8121048808097839, + "learning_rate": 0.0001745745745745746, + "loss": 2.0686, + "step": 1280 + }, + { + "epoch": 0.1285, + "grad_norm": 0.8105731010437012, + "learning_rate": 0.0001744744744744745, + "loss": 2.0791, + "step": 1285 + }, + { + "epoch": 0.129, + "grad_norm": 0.8011786937713623, + "learning_rate": 0.0001743743743743744, + "loss": 2.0656, + "step": 1290 + }, + { + "epoch": 0.1295, + "grad_norm": 0.8228626251220703, + "learning_rate": 0.00017427427427427428, + "loss": 2.0847, + "step": 1295 + }, + { + "epoch": 0.13, + "grad_norm": 0.8151708245277405, + "learning_rate": 0.0001741741741741742, + "loss": 2.0597, + "step": 1300 + }, + { + "epoch": 0.1305, + "grad_norm": 0.771611213684082, + "learning_rate": 0.00017407407407407408, + "loss": 2.0463, + "step": 1305 + }, + { + "epoch": 0.131, + "grad_norm": 0.8352901339530945, + "learning_rate": 0.000173973973973974, + "loss": 2.063, + "step": 1310 + }, + { + "epoch": 0.1315, + "grad_norm": 0.8361049294471741, + "learning_rate": 0.00017387387387387388, + "loss": 2.064, + "step": 1315 + }, + { + "epoch": 0.132, + "grad_norm": 0.8306949138641357, + "learning_rate": 0.00017377377377377376, + "loss": 2.0955, + "step": 1320 + }, + { + "epoch": 0.1325, + "grad_norm": 0.7998603582382202, + "learning_rate": 0.00017367367367367368, + "loss": 2.0794, + "step": 1325 + }, + { + "epoch": 0.133, + "grad_norm": 0.7653375864028931, + "learning_rate": 0.00017357357357357357, + "loss": 2.0688, + "step": 1330 + }, + { + "epoch": 0.1335, + "grad_norm": 0.8033472895622253, + "learning_rate": 0.00017347347347347348, + "loss": 2.0889, + "step": 1335 + }, + { + "epoch": 0.134, + "grad_norm": 0.8225494623184204, + "learning_rate": 0.0001733733733733734, + "loss": 2.092, + "step": 1340 + }, + { + "epoch": 0.1345, + "grad_norm": 0.8260511159896851, + "learning_rate": 0.00017327327327327328, + "loss": 2.071, + "step": 1345 + }, + { + "epoch": 0.135, + "grad_norm": 0.9667144417762756, + "learning_rate": 0.0001731731731731732, + "loss": 2.0685, + "step": 1350 + }, + { + "epoch": 0.1355, + "grad_norm": 0.8435398936271667, + "learning_rate": 0.00017307307307307308, + "loss": 2.0781, + "step": 1355 + }, + { + "epoch": 0.136, + "grad_norm": 0.8424886465072632, + "learning_rate": 0.000172972972972973, + "loss": 2.0757, + "step": 1360 + }, + { + "epoch": 0.1365, + "grad_norm": 0.8169295787811279, + "learning_rate": 0.00017287287287287288, + "loss": 2.0734, + "step": 1365 + }, + { + "epoch": 0.137, + "grad_norm": 0.8099573254585266, + "learning_rate": 0.00017277277277277277, + "loss": 2.0714, + "step": 1370 + }, + { + "epoch": 0.1375, + "grad_norm": 0.8306437730789185, + "learning_rate": 0.00017267267267267268, + "loss": 2.0735, + "step": 1375 + }, + { + "epoch": 0.138, + "grad_norm": 0.7802367210388184, + "learning_rate": 0.00017257257257257257, + "loss": 2.0712, + "step": 1380 + }, + { + "epoch": 0.1385, + "grad_norm": 0.8200580477714539, + "learning_rate": 0.00017247247247247248, + "loss": 2.056, + "step": 1385 + }, + { + "epoch": 0.139, + "grad_norm": 0.8281895518302917, + "learning_rate": 0.0001723723723723724, + "loss": 2.0632, + "step": 1390 + }, + { + "epoch": 0.1395, + "grad_norm": 0.7939669489860535, + "learning_rate": 0.00017227227227227228, + "loss": 2.0628, + "step": 1395 + }, + { + "epoch": 0.14, + "grad_norm": 0.7863283157348633, + "learning_rate": 0.0001721721721721722, + "loss": 2.0593, + "step": 1400 + }, + { + "epoch": 0.1405, + "grad_norm": 0.7744026184082031, + "learning_rate": 0.00017207207207207208, + "loss": 2.0734, + "step": 1405 + }, + { + "epoch": 0.141, + "grad_norm": 0.7912557721138, + "learning_rate": 0.000171971971971972, + "loss": 2.045, + "step": 1410 + }, + { + "epoch": 0.1415, + "grad_norm": 0.8050516843795776, + "learning_rate": 0.00017187187187187188, + "loss": 2.0546, + "step": 1415 + }, + { + "epoch": 0.142, + "grad_norm": 0.7703220248222351, + "learning_rate": 0.00017177177177177177, + "loss": 2.0647, + "step": 1420 + }, + { + "epoch": 0.1425, + "grad_norm": 0.8010295033454895, + "learning_rate": 0.00017167167167167168, + "loss": 2.0556, + "step": 1425 + }, + { + "epoch": 0.143, + "grad_norm": 0.8166594505310059, + "learning_rate": 0.00017157157157157157, + "loss": 2.0691, + "step": 1430 + }, + { + "epoch": 0.1435, + "grad_norm": 0.7984005212783813, + "learning_rate": 0.00017147147147147148, + "loss": 2.0826, + "step": 1435 + }, + { + "epoch": 0.144, + "grad_norm": 0.837327778339386, + "learning_rate": 0.00017137137137137137, + "loss": 2.0631, + "step": 1440 + }, + { + "epoch": 0.1445, + "grad_norm": 0.815968930721283, + "learning_rate": 0.00017127127127127128, + "loss": 2.0457, + "step": 1445 + }, + { + "epoch": 0.145, + "grad_norm": 0.8031236529350281, + "learning_rate": 0.0001711711711711712, + "loss": 2.0685, + "step": 1450 + }, + { + "epoch": 0.1455, + "grad_norm": 0.7846900224685669, + "learning_rate": 0.00017107107107107108, + "loss": 2.0528, + "step": 1455 + }, + { + "epoch": 0.146, + "grad_norm": 0.7788130044937134, + "learning_rate": 0.000170970970970971, + "loss": 2.0667, + "step": 1460 + }, + { + "epoch": 0.1465, + "grad_norm": 0.7862707376480103, + "learning_rate": 0.00017087087087087088, + "loss": 2.068, + "step": 1465 + }, + { + "epoch": 0.147, + "grad_norm": 0.8099005222320557, + "learning_rate": 0.00017077077077077077, + "loss": 2.0689, + "step": 1470 + }, + { + "epoch": 0.1475, + "grad_norm": 0.8044168949127197, + "learning_rate": 0.00017067067067067068, + "loss": 2.07, + "step": 1475 + }, + { + "epoch": 0.148, + "grad_norm": 0.7925140261650085, + "learning_rate": 0.00017057057057057057, + "loss": 2.0628, + "step": 1480 + }, + { + "epoch": 0.1485, + "grad_norm": 0.8262330293655396, + "learning_rate": 0.00017047047047047048, + "loss": 2.0525, + "step": 1485 + }, + { + "epoch": 0.149, + "grad_norm": 0.8038750886917114, + "learning_rate": 0.00017037037037037037, + "loss": 2.057, + "step": 1490 + }, + { + "epoch": 0.1495, + "grad_norm": 0.778914213180542, + "learning_rate": 0.00017027027027027028, + "loss": 2.0714, + "step": 1495 + }, + { + "epoch": 0.15, + "grad_norm": 0.7874584794044495, + "learning_rate": 0.0001701701701701702, + "loss": 2.0799, + "step": 1500 + }, + { + "epoch": 0.1505, + "grad_norm": 0.7739863991737366, + "learning_rate": 0.00017007007007007008, + "loss": 2.03, + "step": 1505 + }, + { + "epoch": 0.151, + "grad_norm": 0.8992478251457214, + "learning_rate": 0.00016996996996997, + "loss": 2.06, + "step": 1510 + }, + { + "epoch": 0.1515, + "grad_norm": 0.7923077344894409, + "learning_rate": 0.00016986986986986988, + "loss": 2.0449, + "step": 1515 + }, + { + "epoch": 0.152, + "grad_norm": 0.8039366006851196, + "learning_rate": 0.00016976976976976977, + "loss": 2.0581, + "step": 1520 + }, + { + "epoch": 0.1525, + "grad_norm": 0.7828361392021179, + "learning_rate": 0.00016966966966966968, + "loss": 2.0525, + "step": 1525 + }, + { + "epoch": 0.153, + "grad_norm": 0.7761391401290894, + "learning_rate": 0.00016956956956956957, + "loss": 2.0407, + "step": 1530 + }, + { + "epoch": 0.1535, + "grad_norm": 0.8189055323600769, + "learning_rate": 0.00016946946946946948, + "loss": 2.0552, + "step": 1535 + }, + { + "epoch": 0.154, + "grad_norm": 0.8271364569664001, + "learning_rate": 0.00016936936936936937, + "loss": 2.07, + "step": 1540 + }, + { + "epoch": 0.1545, + "grad_norm": 0.7701451778411865, + "learning_rate": 0.00016926926926926926, + "loss": 2.0252, + "step": 1545 + }, + { + "epoch": 0.155, + "grad_norm": 0.8270406723022461, + "learning_rate": 0.00016916916916916917, + "loss": 2.0465, + "step": 1550 + }, + { + "epoch": 0.1555, + "grad_norm": 0.8067330121994019, + "learning_rate": 0.00016906906906906908, + "loss": 2.0356, + "step": 1555 + }, + { + "epoch": 0.156, + "grad_norm": 0.870760977268219, + "learning_rate": 0.000168968968968969, + "loss": 2.0276, + "step": 1560 + }, + { + "epoch": 0.1565, + "grad_norm": 0.8015304207801819, + "learning_rate": 0.00016886886886886889, + "loss": 2.0566, + "step": 1565 + }, + { + "epoch": 0.157, + "grad_norm": 0.8079798817634583, + "learning_rate": 0.00016876876876876877, + "loss": 2.0477, + "step": 1570 + }, + { + "epoch": 0.1575, + "grad_norm": 0.7779944539070129, + "learning_rate": 0.00016866866866866869, + "loss": 2.0598, + "step": 1575 + }, + { + "epoch": 0.158, + "grad_norm": 0.8422070145606995, + "learning_rate": 0.00016856856856856857, + "loss": 2.0504, + "step": 1580 + }, + { + "epoch": 0.1585, + "grad_norm": 0.7895457744598389, + "learning_rate": 0.00016846846846846846, + "loss": 2.0323, + "step": 1585 + }, + { + "epoch": 0.159, + "grad_norm": 0.8140113949775696, + "learning_rate": 0.00016836836836836837, + "loss": 2.0498, + "step": 1590 + }, + { + "epoch": 0.1595, + "grad_norm": 0.7975071668624878, + "learning_rate": 0.00016826826826826826, + "loss": 2.0647, + "step": 1595 + }, + { + "epoch": 0.16, + "grad_norm": 0.797199010848999, + "learning_rate": 0.00016816816816816817, + "loss": 2.0437, + "step": 1600 + }, + { + "epoch": 0.1605, + "grad_norm": 0.7758844494819641, + "learning_rate": 0.00016806806806806809, + "loss": 2.0531, + "step": 1605 + }, + { + "epoch": 0.161, + "grad_norm": 0.7931090593338013, + "learning_rate": 0.00016796796796796797, + "loss": 2.0446, + "step": 1610 + }, + { + "epoch": 0.1615, + "grad_norm": 0.7633284330368042, + "learning_rate": 0.0001678678678678679, + "loss": 2.0602, + "step": 1615 + }, + { + "epoch": 0.162, + "grad_norm": 0.8108896017074585, + "learning_rate": 0.00016776776776776777, + "loss": 2.0388, + "step": 1620 + }, + { + "epoch": 0.1625, + "grad_norm": 0.7830617427825928, + "learning_rate": 0.0001676676676676677, + "loss": 2.0684, + "step": 1625 + }, + { + "epoch": 0.163, + "grad_norm": 0.8587239980697632, + "learning_rate": 0.00016756756756756757, + "loss": 2.0365, + "step": 1630 + }, + { + "epoch": 0.1635, + "grad_norm": 0.8472581505775452, + "learning_rate": 0.00016746746746746746, + "loss": 2.0522, + "step": 1635 + }, + { + "epoch": 0.164, + "grad_norm": 0.9151282906532288, + "learning_rate": 0.00016736736736736737, + "loss": 2.0582, + "step": 1640 + }, + { + "epoch": 0.1645, + "grad_norm": 0.8431873321533203, + "learning_rate": 0.00016726726726726726, + "loss": 2.0476, + "step": 1645 + }, + { + "epoch": 0.165, + "grad_norm": 0.7887601256370544, + "learning_rate": 0.00016716716716716717, + "loss": 2.0366, + "step": 1650 + }, + { + "epoch": 0.1655, + "grad_norm": 0.7875514626502991, + "learning_rate": 0.00016706706706706706, + "loss": 2.0561, + "step": 1655 + }, + { + "epoch": 0.166, + "grad_norm": 0.8043152689933777, + "learning_rate": 0.00016696696696696697, + "loss": 2.0388, + "step": 1660 + }, + { + "epoch": 0.1665, + "grad_norm": 0.7784465551376343, + "learning_rate": 0.0001668668668668669, + "loss": 2.0407, + "step": 1665 + }, + { + "epoch": 0.167, + "grad_norm": 0.7523636221885681, + "learning_rate": 0.00016676676676676677, + "loss": 2.0507, + "step": 1670 + }, + { + "epoch": 0.1675, + "grad_norm": 0.7890161871910095, + "learning_rate": 0.0001666666666666667, + "loss": 2.0511, + "step": 1675 + }, + { + "epoch": 0.168, + "grad_norm": 0.7951382994651794, + "learning_rate": 0.00016656656656656657, + "loss": 2.0126, + "step": 1680 + }, + { + "epoch": 0.1685, + "grad_norm": 0.8491453528404236, + "learning_rate": 0.00016646646646646646, + "loss": 2.0325, + "step": 1685 + }, + { + "epoch": 0.169, + "grad_norm": 0.7883369326591492, + "learning_rate": 0.00016636636636636638, + "loss": 2.0238, + "step": 1690 + }, + { + "epoch": 0.1695, + "grad_norm": 0.848307192325592, + "learning_rate": 0.00016626626626626626, + "loss": 2.0335, + "step": 1695 + }, + { + "epoch": 0.17, + "grad_norm": 0.7763209939002991, + "learning_rate": 0.00016616616616616618, + "loss": 2.0511, + "step": 1700 + }, + { + "epoch": 0.1705, + "grad_norm": 0.7731834650039673, + "learning_rate": 0.00016606606606606606, + "loss": 2.0417, + "step": 1705 + }, + { + "epoch": 0.171, + "grad_norm": 0.7851327657699585, + "learning_rate": 0.00016596596596596598, + "loss": 2.031, + "step": 1710 + }, + { + "epoch": 0.1715, + "grad_norm": 0.794136106967926, + "learning_rate": 0.0001658658658658659, + "loss": 2.03, + "step": 1715 + }, + { + "epoch": 0.172, + "grad_norm": 0.7943106293678284, + "learning_rate": 0.00016576576576576578, + "loss": 2.0273, + "step": 1720 + }, + { + "epoch": 0.1725, + "grad_norm": 0.7772659659385681, + "learning_rate": 0.0001656656656656657, + "loss": 2.0424, + "step": 1725 + }, + { + "epoch": 0.173, + "grad_norm": 0.7858376502990723, + "learning_rate": 0.00016556556556556558, + "loss": 2.0309, + "step": 1730 + }, + { + "epoch": 0.1735, + "grad_norm": 0.7929664850234985, + "learning_rate": 0.00016546546546546546, + "loss": 2.0399, + "step": 1735 + }, + { + "epoch": 0.174, + "grad_norm": 0.7890056371688843, + "learning_rate": 0.00016536536536536538, + "loss": 2.0413, + "step": 1740 + }, + { + "epoch": 0.1745, + "grad_norm": 0.7757844924926758, + "learning_rate": 0.00016526526526526526, + "loss": 2.0487, + "step": 1745 + }, + { + "epoch": 0.175, + "grad_norm": 0.7959721088409424, + "learning_rate": 0.00016516516516516518, + "loss": 2.0366, + "step": 1750 + }, + { + "epoch": 0.1755, + "grad_norm": 0.7847658395767212, + "learning_rate": 0.00016506506506506506, + "loss": 2.0465, + "step": 1755 + }, + { + "epoch": 0.176, + "grad_norm": 0.748741865158081, + "learning_rate": 0.00016496496496496495, + "loss": 2.0494, + "step": 1760 + }, + { + "epoch": 0.1765, + "grad_norm": 0.7750582695007324, + "learning_rate": 0.00016486486486486486, + "loss": 2.0386, + "step": 1765 + }, + { + "epoch": 0.177, + "grad_norm": 0.7988344430923462, + "learning_rate": 0.00016476476476476478, + "loss": 2.0332, + "step": 1770 + }, + { + "epoch": 0.1775, + "grad_norm": 0.821477472782135, + "learning_rate": 0.0001646646646646647, + "loss": 2.0233, + "step": 1775 + }, + { + "epoch": 0.178, + "grad_norm": 0.8394650220870972, + "learning_rate": 0.00016456456456456458, + "loss": 2.0463, + "step": 1780 + }, + { + "epoch": 0.1785, + "grad_norm": 0.8799570798873901, + "learning_rate": 0.00016446446446446446, + "loss": 2.0214, + "step": 1785 + }, + { + "epoch": 0.179, + "grad_norm": 0.8210110068321228, + "learning_rate": 0.00016436436436436438, + "loss": 2.025, + "step": 1790 + }, + { + "epoch": 0.1795, + "grad_norm": 0.7694400548934937, + "learning_rate": 0.00016426426426426426, + "loss": 2.0122, + "step": 1795 + }, + { + "epoch": 0.18, + "grad_norm": 0.7861407995223999, + "learning_rate": 0.00016416416416416418, + "loss": 2.0387, + "step": 1800 + }, + { + "epoch": 0.1805, + "grad_norm": 0.8013924360275269, + "learning_rate": 0.00016406406406406406, + "loss": 2.0425, + "step": 1805 + }, + { + "epoch": 0.181, + "grad_norm": 0.7965100407600403, + "learning_rate": 0.00016396396396396395, + "loss": 2.0312, + "step": 1810 + }, + { + "epoch": 0.1815, + "grad_norm": 0.7945120930671692, + "learning_rate": 0.00016386386386386387, + "loss": 2.0201, + "step": 1815 + }, + { + "epoch": 0.182, + "grad_norm": 0.7594983577728271, + "learning_rate": 0.00016376376376376378, + "loss": 2.018, + "step": 1820 + }, + { + "epoch": 0.1825, + "grad_norm": 0.7923123240470886, + "learning_rate": 0.0001636636636636637, + "loss": 2.0128, + "step": 1825 + }, + { + "epoch": 0.183, + "grad_norm": 0.7755590081214905, + "learning_rate": 0.00016356356356356358, + "loss": 2.05, + "step": 1830 + }, + { + "epoch": 0.1835, + "grad_norm": 0.7651676535606384, + "learning_rate": 0.00016346346346346347, + "loss": 2.0239, + "step": 1835 + }, + { + "epoch": 0.184, + "grad_norm": 0.7822082042694092, + "learning_rate": 0.00016336336336336338, + "loss": 2.0271, + "step": 1840 + }, + { + "epoch": 0.1845, + "grad_norm": 0.7861602306365967, + "learning_rate": 0.00016326326326326327, + "loss": 2.0329, + "step": 1845 + }, + { + "epoch": 0.185, + "grad_norm": 0.7773391604423523, + "learning_rate": 0.00016316316316316318, + "loss": 2.0167, + "step": 1850 + }, + { + "epoch": 0.1855, + "grad_norm": 0.7753078937530518, + "learning_rate": 0.00016306306306306307, + "loss": 2.0392, + "step": 1855 + }, + { + "epoch": 0.186, + "grad_norm": 0.7742039561271667, + "learning_rate": 0.00016296296296296295, + "loss": 2.0163, + "step": 1860 + }, + { + "epoch": 0.1865, + "grad_norm": 0.7700342535972595, + "learning_rate": 0.00016286286286286287, + "loss": 2.0273, + "step": 1865 + }, + { + "epoch": 0.187, + "grad_norm": 0.7967638373374939, + "learning_rate": 0.00016276276276276275, + "loss": 2.0295, + "step": 1870 + }, + { + "epoch": 0.1875, + "grad_norm": 0.7784233689308167, + "learning_rate": 0.00016266266266266267, + "loss": 2.0112, + "step": 1875 + }, + { + "epoch": 0.188, + "grad_norm": 0.7581600546836853, + "learning_rate": 0.00016256256256256258, + "loss": 2.045, + "step": 1880 + }, + { + "epoch": 0.1885, + "grad_norm": 0.7855777144432068, + "learning_rate": 0.00016246246246246247, + "loss": 2.018, + "step": 1885 + }, + { + "epoch": 0.189, + "grad_norm": 0.7643173336982727, + "learning_rate": 0.00016236236236236238, + "loss": 2.0338, + "step": 1890 + }, + { + "epoch": 0.1895, + "grad_norm": 0.7671994566917419, + "learning_rate": 0.00016226226226226227, + "loss": 2.0306, + "step": 1895 + }, + { + "epoch": 0.19, + "grad_norm": 0.7719835638999939, + "learning_rate": 0.00016216216216216218, + "loss": 2.0347, + "step": 1900 + }, + { + "epoch": 0.1905, + "grad_norm": 0.7854582667350769, + "learning_rate": 0.00016206206206206207, + "loss": 2.0025, + "step": 1905 + }, + { + "epoch": 0.191, + "grad_norm": 0.7874001264572144, + "learning_rate": 0.00016196196196196195, + "loss": 2.0113, + "step": 1910 + }, + { + "epoch": 0.1915, + "grad_norm": 0.7835874557495117, + "learning_rate": 0.00016186186186186187, + "loss": 1.9983, + "step": 1915 + }, + { + "epoch": 0.192, + "grad_norm": 0.7952415943145752, + "learning_rate": 0.00016176176176176175, + "loss": 2.015, + "step": 1920 + }, + { + "epoch": 0.1925, + "grad_norm": 0.8112797737121582, + "learning_rate": 0.00016166166166166167, + "loss": 2.0433, + "step": 1925 + }, + { + "epoch": 0.193, + "grad_norm": 0.7716769576072693, + "learning_rate": 0.00016156156156156158, + "loss": 2.0229, + "step": 1930 + }, + { + "epoch": 0.1935, + "grad_norm": 0.8018927574157715, + "learning_rate": 0.00016146146146146147, + "loss": 2.0194, + "step": 1935 + }, + { + "epoch": 0.194, + "grad_norm": 0.8140080571174622, + "learning_rate": 0.00016136136136136138, + "loss": 2.0195, + "step": 1940 + }, + { + "epoch": 0.1945, + "grad_norm": 0.7923764586448669, + "learning_rate": 0.00016126126126126127, + "loss": 2.0137, + "step": 1945 + }, + { + "epoch": 0.195, + "grad_norm": 0.8428927659988403, + "learning_rate": 0.00016116116116116118, + "loss": 2.0238, + "step": 1950 + }, + { + "epoch": 0.1955, + "grad_norm": 0.8145603537559509, + "learning_rate": 0.00016106106106106107, + "loss": 2.0129, + "step": 1955 + }, + { + "epoch": 0.196, + "grad_norm": 0.8989366888999939, + "learning_rate": 0.00016096096096096096, + "loss": 2.0275, + "step": 1960 + }, + { + "epoch": 0.1965, + "grad_norm": 0.8182039856910706, + "learning_rate": 0.00016086086086086087, + "loss": 2.0044, + "step": 1965 + }, + { + "epoch": 0.197, + "grad_norm": 0.8926301002502441, + "learning_rate": 0.00016076076076076076, + "loss": 2.0147, + "step": 1970 + }, + { + "epoch": 0.1975, + "grad_norm": 0.7725608348846436, + "learning_rate": 0.00016066066066066067, + "loss": 2.0172, + "step": 1975 + }, + { + "epoch": 0.198, + "grad_norm": 0.8739742040634155, + "learning_rate": 0.00016056056056056056, + "loss": 2.0245, + "step": 1980 + }, + { + "epoch": 0.1985, + "grad_norm": 0.8591052293777466, + "learning_rate": 0.00016046046046046047, + "loss": 1.9968, + "step": 1985 + }, + { + "epoch": 0.199, + "grad_norm": 0.7801085114479065, + "learning_rate": 0.00016036036036036038, + "loss": 2.0064, + "step": 1990 + }, + { + "epoch": 0.1995, + "grad_norm": 0.8598971366882324, + "learning_rate": 0.00016026026026026027, + "loss": 2.0307, + "step": 1995 + }, + { + "epoch": 0.2, + "grad_norm": 0.8810726404190063, + "learning_rate": 0.00016016016016016018, + "loss": 2.0129, + "step": 2000 + }, + { + "epoch": 0.2005, + "grad_norm": 0.8133185505867004, + "learning_rate": 0.00016006006006006007, + "loss": 2.0047, + "step": 2005 + }, + { + "epoch": 0.201, + "grad_norm": 0.8219152688980103, + "learning_rate": 0.00015995995995995996, + "loss": 2.0311, + "step": 2010 + }, + { + "epoch": 0.2015, + "grad_norm": 0.7896487712860107, + "learning_rate": 0.00015985985985985987, + "loss": 2.0247, + "step": 2015 + }, + { + "epoch": 0.202, + "grad_norm": 0.9305662512779236, + "learning_rate": 0.00015975975975975976, + "loss": 2.0446, + "step": 2020 + }, + { + "epoch": 0.2025, + "grad_norm": 0.8045963644981384, + "learning_rate": 0.00015965965965965967, + "loss": 2.0093, + "step": 2025 + }, + { + "epoch": 0.203, + "grad_norm": 0.8537754416465759, + "learning_rate": 0.00015955955955955956, + "loss": 2.0215, + "step": 2030 + }, + { + "epoch": 0.2035, + "grad_norm": 0.7994036674499512, + "learning_rate": 0.00015945945945945947, + "loss": 1.997, + "step": 2035 + }, + { + "epoch": 0.204, + "grad_norm": 0.7729703187942505, + "learning_rate": 0.00015935935935935938, + "loss": 2.0095, + "step": 2040 + }, + { + "epoch": 0.2045, + "grad_norm": 0.7706931233406067, + "learning_rate": 0.00015925925925925927, + "loss": 2.029, + "step": 2045 + }, + { + "epoch": 0.205, + "grad_norm": 0.7798938155174255, + "learning_rate": 0.00015915915915915919, + "loss": 2.0325, + "step": 2050 + }, + { + "epoch": 0.2055, + "grad_norm": 0.7870948314666748, + "learning_rate": 0.00015905905905905907, + "loss": 2.0282, + "step": 2055 + }, + { + "epoch": 0.206, + "grad_norm": 0.8591163158416748, + "learning_rate": 0.00015895895895895896, + "loss": 2.0183, + "step": 2060 + }, + { + "epoch": 0.2065, + "grad_norm": 0.8115944862365723, + "learning_rate": 0.00015885885885885887, + "loss": 2.0131, + "step": 2065 + }, + { + "epoch": 0.207, + "grad_norm": 0.7475624680519104, + "learning_rate": 0.00015875875875875876, + "loss": 2.0175, + "step": 2070 + }, + { + "epoch": 0.2075, + "grad_norm": 0.7941943407058716, + "learning_rate": 0.00015865865865865867, + "loss": 2.0288, + "step": 2075 + }, + { + "epoch": 0.208, + "grad_norm": 0.7347163558006287, + "learning_rate": 0.00015855855855855856, + "loss": 1.9898, + "step": 2080 + }, + { + "epoch": 0.2085, + "grad_norm": 0.757885217666626, + "learning_rate": 0.00015845845845845845, + "loss": 1.9989, + "step": 2085 + }, + { + "epoch": 0.209, + "grad_norm": 0.7636198401451111, + "learning_rate": 0.00015835835835835836, + "loss": 2.0141, + "step": 2090 + }, + { + "epoch": 0.2095, + "grad_norm": 0.8460286855697632, + "learning_rate": 0.00015825825825825827, + "loss": 1.9916, + "step": 2095 + }, + { + "epoch": 0.21, + "grad_norm": 0.7832396626472473, + "learning_rate": 0.0001581581581581582, + "loss": 2.0153, + "step": 2100 + }, + { + "epoch": 0.2105, + "grad_norm": 0.7886310815811157, + "learning_rate": 0.00015805805805805807, + "loss": 2.0428, + "step": 2105 + }, + { + "epoch": 0.211, + "grad_norm": 0.7736825942993164, + "learning_rate": 0.00015795795795795796, + "loss": 2.0113, + "step": 2110 + }, + { + "epoch": 0.2115, + "grad_norm": 0.7903079986572266, + "learning_rate": 0.00015785785785785787, + "loss": 2.0105, + "step": 2115 + }, + { + "epoch": 0.212, + "grad_norm": 0.8193835616111755, + "learning_rate": 0.00015775775775775776, + "loss": 2.0123, + "step": 2120 + }, + { + "epoch": 0.2125, + "grad_norm": 0.8024186491966248, + "learning_rate": 0.00015765765765765767, + "loss": 2.0069, + "step": 2125 + }, + { + "epoch": 0.213, + "grad_norm": 0.7742881178855896, + "learning_rate": 0.00015755755755755756, + "loss": 2.0106, + "step": 2130 + }, + { + "epoch": 0.2135, + "grad_norm": 0.8352553844451904, + "learning_rate": 0.00015745745745745745, + "loss": 1.9989, + "step": 2135 + }, + { + "epoch": 0.214, + "grad_norm": 0.7888927459716797, + "learning_rate": 0.00015735735735735736, + "loss": 1.9939, + "step": 2140 + }, + { + "epoch": 0.2145, + "grad_norm": 0.811654806137085, + "learning_rate": 0.00015725725725725727, + "loss": 2.0194, + "step": 2145 + }, + { + "epoch": 0.215, + "grad_norm": 0.8414866924285889, + "learning_rate": 0.0001571571571571572, + "loss": 1.9964, + "step": 2150 + }, + { + "epoch": 0.2155, + "grad_norm": 0.7777667045593262, + "learning_rate": 0.00015705705705705707, + "loss": 2.0231, + "step": 2155 + }, + { + "epoch": 0.216, + "grad_norm": 0.782187819480896, + "learning_rate": 0.00015695695695695696, + "loss": 2.0235, + "step": 2160 + }, + { + "epoch": 0.2165, + "grad_norm": 0.7661353945732117, + "learning_rate": 0.00015685685685685687, + "loss": 1.9932, + "step": 2165 + }, + { + "epoch": 0.217, + "grad_norm": 0.8571522235870361, + "learning_rate": 0.00015675675675675676, + "loss": 2.017, + "step": 2170 + }, + { + "epoch": 0.2175, + "grad_norm": 0.795987606048584, + "learning_rate": 0.00015665665665665668, + "loss": 2.0095, + "step": 2175 + }, + { + "epoch": 0.218, + "grad_norm": 0.788629412651062, + "learning_rate": 0.00015655655655655656, + "loss": 1.9961, + "step": 2180 + }, + { + "epoch": 0.2185, + "grad_norm": 0.7576528787612915, + "learning_rate": 0.00015645645645645645, + "loss": 1.9911, + "step": 2185 + }, + { + "epoch": 0.219, + "grad_norm": 0.7708572149276733, + "learning_rate": 0.00015635635635635636, + "loss": 1.9792, + "step": 2190 + }, + { + "epoch": 0.2195, + "grad_norm": 0.8041749000549316, + "learning_rate": 0.00015625625625625625, + "loss": 2.006, + "step": 2195 + }, + { + "epoch": 0.22, + "grad_norm": 0.8431360125541687, + "learning_rate": 0.00015615615615615616, + "loss": 2.0173, + "step": 2200 + }, + { + "epoch": 0.2205, + "grad_norm": 0.8387967348098755, + "learning_rate": 0.00015605605605605608, + "loss": 1.9973, + "step": 2205 + }, + { + "epoch": 0.221, + "grad_norm": 0.8072513341903687, + "learning_rate": 0.00015595595595595596, + "loss": 1.9921, + "step": 2210 + }, + { + "epoch": 0.2215, + "grad_norm": 0.8014965057373047, + "learning_rate": 0.00015585585585585588, + "loss": 1.9881, + "step": 2215 + }, + { + "epoch": 0.222, + "grad_norm": 0.7723069787025452, + "learning_rate": 0.00015575575575575576, + "loss": 1.9993, + "step": 2220 + }, + { + "epoch": 0.2225, + "grad_norm": 0.8190085887908936, + "learning_rate": 0.00015565565565565565, + "loss": 2.0015, + "step": 2225 + }, + { + "epoch": 0.223, + "grad_norm": 0.7893680334091187, + "learning_rate": 0.00015555555555555556, + "loss": 1.9983, + "step": 2230 + }, + { + "epoch": 0.2235, + "grad_norm": 0.7632356286048889, + "learning_rate": 0.00015545545545545545, + "loss": 2.0039, + "step": 2235 + }, + { + "epoch": 0.224, + "grad_norm": 0.7753027677536011, + "learning_rate": 0.00015535535535535536, + "loss": 1.9878, + "step": 2240 + }, + { + "epoch": 0.2245, + "grad_norm": 0.7894906997680664, + "learning_rate": 0.00015525525525525525, + "loss": 1.997, + "step": 2245 + }, + { + "epoch": 0.225, + "grad_norm": 0.8126510977745056, + "learning_rate": 0.00015515515515515516, + "loss": 1.9966, + "step": 2250 + }, + { + "epoch": 0.2255, + "grad_norm": 0.8427388668060303, + "learning_rate": 0.00015505505505505508, + "loss": 2.0033, + "step": 2255 + }, + { + "epoch": 0.226, + "grad_norm": 0.8301752805709839, + "learning_rate": 0.00015495495495495496, + "loss": 2.0081, + "step": 2260 + }, + { + "epoch": 0.2265, + "grad_norm": 0.7624394297599792, + "learning_rate": 0.00015485485485485488, + "loss": 2.0072, + "step": 2265 + }, + { + "epoch": 0.227, + "grad_norm": 0.7501481175422668, + "learning_rate": 0.00015475475475475476, + "loss": 2.0077, + "step": 2270 + }, + { + "epoch": 0.2275, + "grad_norm": 0.7723734378814697, + "learning_rate": 0.00015465465465465465, + "loss": 1.9989, + "step": 2275 + }, + { + "epoch": 0.228, + "grad_norm": 0.7647537589073181, + "learning_rate": 0.00015455455455455456, + "loss": 1.9978, + "step": 2280 + }, + { + "epoch": 0.2285, + "grad_norm": 0.7880849838256836, + "learning_rate": 0.00015445445445445445, + "loss": 1.9774, + "step": 2285 + }, + { + "epoch": 0.229, + "grad_norm": 0.7714458107948303, + "learning_rate": 0.00015435435435435436, + "loss": 1.9799, + "step": 2290 + }, + { + "epoch": 0.2295, + "grad_norm": 0.7856618762016296, + "learning_rate": 0.00015425425425425425, + "loss": 1.9794, + "step": 2295 + }, + { + "epoch": 0.23, + "grad_norm": 0.813881516456604, + "learning_rate": 0.00015415415415415414, + "loss": 2.0075, + "step": 2300 + }, + { + "epoch": 0.2305, + "grad_norm": 0.7762358784675598, + "learning_rate": 0.00015405405405405405, + "loss": 2.0185, + "step": 2305 + }, + { + "epoch": 0.231, + "grad_norm": 0.766732931137085, + "learning_rate": 0.00015395395395395397, + "loss": 1.9986, + "step": 2310 + }, + { + "epoch": 0.2315, + "grad_norm": 0.7683066129684448, + "learning_rate": 0.00015385385385385388, + "loss": 2.0131, + "step": 2315 + }, + { + "epoch": 0.232, + "grad_norm": 0.7804152369499207, + "learning_rate": 0.00015375375375375377, + "loss": 2.0089, + "step": 2320 + }, + { + "epoch": 0.2325, + "grad_norm": 0.7836987376213074, + "learning_rate": 0.00015365365365365365, + "loss": 1.9976, + "step": 2325 + }, + { + "epoch": 0.233, + "grad_norm": 0.823605477809906, + "learning_rate": 0.00015355355355355357, + "loss": 2.0005, + "step": 2330 + }, + { + "epoch": 0.2335, + "grad_norm": 0.8343596458435059, + "learning_rate": 0.00015345345345345345, + "loss": 2.015, + "step": 2335 + }, + { + "epoch": 0.234, + "grad_norm": 0.8635172247886658, + "learning_rate": 0.00015335335335335337, + "loss": 2.0002, + "step": 2340 + }, + { + "epoch": 0.2345, + "grad_norm": 0.840971052646637, + "learning_rate": 0.00015325325325325325, + "loss": 1.9847, + "step": 2345 + }, + { + "epoch": 0.235, + "grad_norm": 0.888761043548584, + "learning_rate": 0.00015315315315315314, + "loss": 1.9879, + "step": 2350 + }, + { + "epoch": 0.2355, + "grad_norm": 0.7987576723098755, + "learning_rate": 0.00015305305305305305, + "loss": 1.9885, + "step": 2355 + }, + { + "epoch": 0.236, + "grad_norm": 0.781504213809967, + "learning_rate": 0.00015295295295295297, + "loss": 1.9891, + "step": 2360 + }, + { + "epoch": 0.2365, + "grad_norm": 0.8169000148773193, + "learning_rate": 0.00015285285285285288, + "loss": 1.974, + "step": 2365 + }, + { + "epoch": 0.237, + "grad_norm": 0.764177680015564, + "learning_rate": 0.00015275275275275277, + "loss": 1.974, + "step": 2370 + }, + { + "epoch": 0.2375, + "grad_norm": 0.8093706369400024, + "learning_rate": 0.00015265265265265265, + "loss": 1.9897, + "step": 2375 + }, + { + "epoch": 0.238, + "grad_norm": 0.8349776268005371, + "learning_rate": 0.00015255255255255257, + "loss": 2.0002, + "step": 2380 + }, + { + "epoch": 0.2385, + "grad_norm": 0.831120491027832, + "learning_rate": 0.00015245245245245245, + "loss": 1.9978, + "step": 2385 + }, + { + "epoch": 0.239, + "grad_norm": 0.79282546043396, + "learning_rate": 0.00015235235235235237, + "loss": 2.003, + "step": 2390 + }, + { + "epoch": 0.2395, + "grad_norm": 0.7896937727928162, + "learning_rate": 0.00015225225225225225, + "loss": 1.9832, + "step": 2395 + }, + { + "epoch": 0.24, + "grad_norm": 0.7645019292831421, + "learning_rate": 0.00015215215215215214, + "loss": 1.983, + "step": 2400 + }, + { + "epoch": 0.2405, + "grad_norm": 0.809862494468689, + "learning_rate": 0.00015205205205205205, + "loss": 1.9912, + "step": 2405 + }, + { + "epoch": 0.241, + "grad_norm": 0.7760394215583801, + "learning_rate": 0.00015195195195195194, + "loss": 1.978, + "step": 2410 + }, + { + "epoch": 0.2415, + "grad_norm": 0.8623340129852295, + "learning_rate": 0.00015185185185185185, + "loss": 1.9902, + "step": 2415 + }, + { + "epoch": 0.242, + "grad_norm": 0.8047596216201782, + "learning_rate": 0.00015175175175175177, + "loss": 2.011, + "step": 2420 + }, + { + "epoch": 0.2425, + "grad_norm": 0.7739080786705017, + "learning_rate": 0.00015165165165165165, + "loss": 1.981, + "step": 2425 + }, + { + "epoch": 0.243, + "grad_norm": 0.7927338480949402, + "learning_rate": 0.00015155155155155157, + "loss": 1.9814, + "step": 2430 + }, + { + "epoch": 0.2435, + "grad_norm": 0.8810697197914124, + "learning_rate": 0.00015145145145145146, + "loss": 1.9664, + "step": 2435 + }, + { + "epoch": 0.244, + "grad_norm": 0.860685408115387, + "learning_rate": 0.00015135135135135137, + "loss": 1.9842, + "step": 2440 + }, + { + "epoch": 0.2445, + "grad_norm": 0.9384279847145081, + "learning_rate": 0.00015125125125125126, + "loss": 1.9657, + "step": 2445 + }, + { + "epoch": 0.245, + "grad_norm": 0.9265758395195007, + "learning_rate": 0.00015115115115115114, + "loss": 1.99, + "step": 2450 + }, + { + "epoch": 0.2455, + "grad_norm": 0.8147779703140259, + "learning_rate": 0.00015105105105105106, + "loss": 1.9825, + "step": 2455 + }, + { + "epoch": 0.246, + "grad_norm": 0.7943310141563416, + "learning_rate": 0.00015095095095095094, + "loss": 1.9886, + "step": 2460 + }, + { + "epoch": 0.2465, + "grad_norm": 0.8120606541633606, + "learning_rate": 0.00015085085085085086, + "loss": 1.9716, + "step": 2465 + }, + { + "epoch": 0.247, + "grad_norm": 0.7622060179710388, + "learning_rate": 0.00015075075075075077, + "loss": 1.9959, + "step": 2470 + }, + { + "epoch": 0.2475, + "grad_norm": 0.8406639695167542, + "learning_rate": 0.00015065065065065066, + "loss": 1.9895, + "step": 2475 + }, + { + "epoch": 0.248, + "grad_norm": 0.786904513835907, + "learning_rate": 0.00015055055055055057, + "loss": 1.989, + "step": 2480 + }, + { + "epoch": 0.2485, + "grad_norm": 0.8092778325080872, + "learning_rate": 0.00015045045045045046, + "loss": 1.9998, + "step": 2485 + }, + { + "epoch": 0.249, + "grad_norm": 0.826165497303009, + "learning_rate": 0.00015035035035035037, + "loss": 2.0039, + "step": 2490 + }, + { + "epoch": 0.2495, + "grad_norm": 0.786272406578064, + "learning_rate": 0.00015025025025025026, + "loss": 1.9731, + "step": 2495 + }, + { + "epoch": 0.25, + "grad_norm": 0.7633465528488159, + "learning_rate": 0.00015015015015015014, + "loss": 1.982, + "step": 2500 + }, + { + "epoch": 0.2505, + "grad_norm": 0.7651098966598511, + "learning_rate": 0.00015005005005005006, + "loss": 1.9942, + "step": 2505 + }, + { + "epoch": 0.251, + "grad_norm": 0.785978376865387, + "learning_rate": 0.00014994994994994994, + "loss": 2.0017, + "step": 2510 + }, + { + "epoch": 0.2515, + "grad_norm": 0.8050821423530579, + "learning_rate": 0.00014984984984984986, + "loss": 1.9862, + "step": 2515 + }, + { + "epoch": 0.252, + "grad_norm": 0.8367516398429871, + "learning_rate": 0.00014974974974974974, + "loss": 1.9739, + "step": 2520 + }, + { + "epoch": 0.2525, + "grad_norm": 0.8357223272323608, + "learning_rate": 0.00014964964964964966, + "loss": 2.0004, + "step": 2525 + }, + { + "epoch": 0.253, + "grad_norm": 0.8153281211853027, + "learning_rate": 0.00014954954954954957, + "loss": 1.972, + "step": 2530 + }, + { + "epoch": 0.2535, + "grad_norm": 0.784550130367279, + "learning_rate": 0.00014944944944944946, + "loss": 1.9746, + "step": 2535 + }, + { + "epoch": 0.254, + "grad_norm": 0.8016824126243591, + "learning_rate": 0.00014934934934934937, + "loss": 1.9947, + "step": 2540 + }, + { + "epoch": 0.2545, + "grad_norm": 0.767263650894165, + "learning_rate": 0.00014924924924924926, + "loss": 1.9629, + "step": 2545 + }, + { + "epoch": 0.255, + "grad_norm": 0.7741748690605164, + "learning_rate": 0.00014914914914914914, + "loss": 1.9824, + "step": 2550 + }, + { + "epoch": 0.2555, + "grad_norm": 0.7979781627655029, + "learning_rate": 0.00014904904904904906, + "loss": 1.9689, + "step": 2555 + }, + { + "epoch": 0.256, + "grad_norm": 0.7703980207443237, + "learning_rate": 0.00014894894894894895, + "loss": 1.9789, + "step": 2560 + }, + { + "epoch": 0.2565, + "grad_norm": 0.7330608367919922, + "learning_rate": 0.00014884884884884886, + "loss": 1.9837, + "step": 2565 + }, + { + "epoch": 0.257, + "grad_norm": 0.8055962324142456, + "learning_rate": 0.00014874874874874875, + "loss": 1.9865, + "step": 2570 + }, + { + "epoch": 0.2575, + "grad_norm": 0.7900416254997253, + "learning_rate": 0.00014864864864864866, + "loss": 1.9916, + "step": 2575 + }, + { + "epoch": 0.258, + "grad_norm": 0.8404157161712646, + "learning_rate": 0.00014854854854854857, + "loss": 1.9719, + "step": 2580 + }, + { + "epoch": 0.2585, + "grad_norm": 0.8460199236869812, + "learning_rate": 0.00014844844844844846, + "loss": 1.9903, + "step": 2585 + }, + { + "epoch": 0.259, + "grad_norm": 0.771557092666626, + "learning_rate": 0.00014834834834834837, + "loss": 1.9923, + "step": 2590 + }, + { + "epoch": 0.2595, + "grad_norm": 0.8946308493614197, + "learning_rate": 0.00014824824824824826, + "loss": 1.9886, + "step": 2595 + }, + { + "epoch": 0.26, + "grad_norm": 0.813717782497406, + "learning_rate": 0.00014814814814814815, + "loss": 2.0069, + "step": 2600 + }, + { + "epoch": 0.2605, + "grad_norm": 0.8274906277656555, + "learning_rate": 0.00014804804804804806, + "loss": 1.9853, + "step": 2605 + }, + { + "epoch": 0.261, + "grad_norm": 0.7455735802650452, + "learning_rate": 0.00014794794794794795, + "loss": 1.9851, + "step": 2610 + }, + { + "epoch": 0.2615, + "grad_norm": 0.7664053440093994, + "learning_rate": 0.00014784784784784786, + "loss": 2.0061, + "step": 2615 + }, + { + "epoch": 0.262, + "grad_norm": 0.7694225311279297, + "learning_rate": 0.00014774774774774775, + "loss": 1.9826, + "step": 2620 + }, + { + "epoch": 0.2625, + "grad_norm": 0.8089345097541809, + "learning_rate": 0.00014764764764764763, + "loss": 1.9734, + "step": 2625 + }, + { + "epoch": 0.263, + "grad_norm": 0.8007687926292419, + "learning_rate": 0.00014754754754754755, + "loss": 1.9949, + "step": 2630 + }, + { + "epoch": 0.2635, + "grad_norm": 0.8104939460754395, + "learning_rate": 0.00014744744744744746, + "loss": 1.9826, + "step": 2635 + }, + { + "epoch": 0.264, + "grad_norm": 0.7715001106262207, + "learning_rate": 0.00014734734734734737, + "loss": 1.9773, + "step": 2640 + }, + { + "epoch": 0.2645, + "grad_norm": 0.8055933713912964, + "learning_rate": 0.00014724724724724726, + "loss": 1.9919, + "step": 2645 + }, + { + "epoch": 0.265, + "grad_norm": 0.7547632455825806, + "learning_rate": 0.00014714714714714715, + "loss": 1.9808, + "step": 2650 + }, + { + "epoch": 0.2655, + "grad_norm": 0.7735660076141357, + "learning_rate": 0.00014704704704704706, + "loss": 1.9856, + "step": 2655 + }, + { + "epoch": 0.266, + "grad_norm": 0.773932933807373, + "learning_rate": 0.00014694694694694695, + "loss": 1.9599, + "step": 2660 + }, + { + "epoch": 0.2665, + "grad_norm": 0.7784350514411926, + "learning_rate": 0.00014684684684684686, + "loss": 1.9867, + "step": 2665 + }, + { + "epoch": 0.267, + "grad_norm": 0.8424972295761108, + "learning_rate": 0.00014674674674674675, + "loss": 1.9754, + "step": 2670 + }, + { + "epoch": 0.2675, + "grad_norm": 0.7852407693862915, + "learning_rate": 0.00014664664664664663, + "loss": 1.9882, + "step": 2675 + }, + { + "epoch": 0.268, + "grad_norm": 0.8432037830352783, + "learning_rate": 0.00014654654654654655, + "loss": 1.9781, + "step": 2680 + }, + { + "epoch": 0.2685, + "grad_norm": 0.7774507999420166, + "learning_rate": 0.00014644644644644646, + "loss": 2.0009, + "step": 2685 + }, + { + "epoch": 0.269, + "grad_norm": 0.7801546454429626, + "learning_rate": 0.00014634634634634638, + "loss": 1.966, + "step": 2690 + }, + { + "epoch": 0.2695, + "grad_norm": 0.7551014423370361, + "learning_rate": 0.00014624624624624626, + "loss": 1.9904, + "step": 2695 + }, + { + "epoch": 0.27, + "grad_norm": 0.8055344820022583, + "learning_rate": 0.00014614614614614615, + "loss": 1.966, + "step": 2700 + }, + { + "epoch": 0.2705, + "grad_norm": 0.7711438536643982, + "learning_rate": 0.00014604604604604606, + "loss": 1.9731, + "step": 2705 + }, + { + "epoch": 0.271, + "grad_norm": 0.7846922278404236, + "learning_rate": 0.00014594594594594595, + "loss": 1.9904, + "step": 2710 + }, + { + "epoch": 0.2715, + "grad_norm": 0.7844250202178955, + "learning_rate": 0.00014584584584584586, + "loss": 1.9778, + "step": 2715 + }, + { + "epoch": 0.272, + "grad_norm": 0.7908750176429749, + "learning_rate": 0.00014574574574574575, + "loss": 1.9892, + "step": 2720 + }, + { + "epoch": 0.2725, + "grad_norm": 0.759119987487793, + "learning_rate": 0.00014564564564564564, + "loss": 1.9888, + "step": 2725 + }, + { + "epoch": 0.273, + "grad_norm": 0.7900999188423157, + "learning_rate": 0.00014554554554554555, + "loss": 1.9869, + "step": 2730 + }, + { + "epoch": 0.2735, + "grad_norm": 0.8262436389923096, + "learning_rate": 0.00014544544544544544, + "loss": 1.9966, + "step": 2735 + }, + { + "epoch": 0.274, + "grad_norm": 0.753371000289917, + "learning_rate": 0.00014534534534534535, + "loss": 1.9793, + "step": 2740 + }, + { + "epoch": 0.2745, + "grad_norm": 0.8318740725517273, + "learning_rate": 0.00014524524524524526, + "loss": 1.9733, + "step": 2745 + }, + { + "epoch": 0.275, + "grad_norm": 0.784440279006958, + "learning_rate": 0.00014514514514514515, + "loss": 1.9677, + "step": 2750 + }, + { + "epoch": 0.2755, + "grad_norm": 0.7962784767150879, + "learning_rate": 0.00014504504504504506, + "loss": 1.9672, + "step": 2755 + }, + { + "epoch": 0.276, + "grad_norm": 0.7986271381378174, + "learning_rate": 0.00014494494494494495, + "loss": 1.9693, + "step": 2760 + }, + { + "epoch": 0.2765, + "grad_norm": 0.742120623588562, + "learning_rate": 0.00014484484484484486, + "loss": 1.9633, + "step": 2765 + }, + { + "epoch": 0.277, + "grad_norm": 0.8292919397354126, + "learning_rate": 0.00014474474474474475, + "loss": 1.9675, + "step": 2770 + }, + { + "epoch": 0.2775, + "grad_norm": 0.8410685062408447, + "learning_rate": 0.00014464464464464464, + "loss": 1.9717, + "step": 2775 + }, + { + "epoch": 0.278, + "grad_norm": 0.9076857566833496, + "learning_rate": 0.00014454454454454455, + "loss": 1.9846, + "step": 2780 + }, + { + "epoch": 0.2785, + "grad_norm": 0.7975298762321472, + "learning_rate": 0.00014444444444444444, + "loss": 1.9443, + "step": 2785 + }, + { + "epoch": 0.279, + "grad_norm": 0.9177993535995483, + "learning_rate": 0.00014434434434434435, + "loss": 1.9672, + "step": 2790 + }, + { + "epoch": 0.2795, + "grad_norm": 1.0301792621612549, + "learning_rate": 0.00014424424424424427, + "loss": 1.9699, + "step": 2795 + }, + { + "epoch": 0.28, + "grad_norm": 1.0027192831039429, + "learning_rate": 0.00014414414414414415, + "loss": 1.9778, + "step": 2800 + }, + { + "epoch": 0.2805, + "grad_norm": 0.8336755037307739, + "learning_rate": 0.00014404404404404407, + "loss": 1.9799, + "step": 2805 + }, + { + "epoch": 0.281, + "grad_norm": 0.8099704384803772, + "learning_rate": 0.00014394394394394395, + "loss": 1.9721, + "step": 2810 + }, + { + "epoch": 0.2815, + "grad_norm": 0.7808539867401123, + "learning_rate": 0.00014384384384384387, + "loss": 1.9807, + "step": 2815 + }, + { + "epoch": 0.282, + "grad_norm": 0.7895110845565796, + "learning_rate": 0.00014374374374374375, + "loss": 1.9698, + "step": 2820 + }, + { + "epoch": 0.2825, + "grad_norm": 0.7536469101905823, + "learning_rate": 0.00014364364364364364, + "loss": 1.9707, + "step": 2825 + }, + { + "epoch": 0.283, + "grad_norm": 0.8078683614730835, + "learning_rate": 0.00014354354354354355, + "loss": 1.9564, + "step": 2830 + }, + { + "epoch": 0.2835, + "grad_norm": 0.7899840474128723, + "learning_rate": 0.00014344344344344344, + "loss": 1.9601, + "step": 2835 + }, + { + "epoch": 0.284, + "grad_norm": 0.7988283634185791, + "learning_rate": 0.00014334334334334333, + "loss": 1.9826, + "step": 2840 + }, + { + "epoch": 0.2845, + "grad_norm": 0.8281169533729553, + "learning_rate": 0.00014324324324324324, + "loss": 1.9715, + "step": 2845 + }, + { + "epoch": 0.285, + "grad_norm": 0.7911503911018372, + "learning_rate": 0.00014314314314314315, + "loss": 1.9733, + "step": 2850 + }, + { + "epoch": 0.2855, + "grad_norm": 0.7935109734535217, + "learning_rate": 0.00014304304304304307, + "loss": 1.9559, + "step": 2855 + }, + { + "epoch": 0.286, + "grad_norm": 0.8028689026832581, + "learning_rate": 0.00014294294294294295, + "loss": 1.9719, + "step": 2860 + }, + { + "epoch": 0.2865, + "grad_norm": 0.7638905048370361, + "learning_rate": 0.00014284284284284284, + "loss": 1.9718, + "step": 2865 + }, + { + "epoch": 0.287, + "grad_norm": 0.7452086806297302, + "learning_rate": 0.00014274274274274275, + "loss": 1.972, + "step": 2870 + }, + { + "epoch": 0.2875, + "grad_norm": 0.7905741930007935, + "learning_rate": 0.00014264264264264264, + "loss": 1.9583, + "step": 2875 + }, + { + "epoch": 0.288, + "grad_norm": 0.7474929690361023, + "learning_rate": 0.00014254254254254255, + "loss": 1.9743, + "step": 2880 + }, + { + "epoch": 0.2885, + "grad_norm": 0.8252883553504944, + "learning_rate": 0.00014244244244244244, + "loss": 1.941, + "step": 2885 + }, + { + "epoch": 0.289, + "grad_norm": 0.8231001496315002, + "learning_rate": 0.00014234234234234233, + "loss": 1.9683, + "step": 2890 + }, + { + "epoch": 0.2895, + "grad_norm": 0.7783549427986145, + "learning_rate": 0.00014224224224224224, + "loss": 1.9832, + "step": 2895 + }, + { + "epoch": 0.29, + "grad_norm": 0.7698352932929993, + "learning_rate": 0.00014214214214214215, + "loss": 1.967, + "step": 2900 + }, + { + "epoch": 0.2905, + "grad_norm": 0.8160349726676941, + "learning_rate": 0.00014204204204204207, + "loss": 1.9633, + "step": 2905 + }, + { + "epoch": 0.291, + "grad_norm": 0.8119205832481384, + "learning_rate": 0.00014194194194194195, + "loss": 1.9799, + "step": 2910 + }, + { + "epoch": 0.2915, + "grad_norm": 0.7536299824714661, + "learning_rate": 0.00014184184184184184, + "loss": 1.9761, + "step": 2915 + }, + { + "epoch": 0.292, + "grad_norm": 0.8390820622444153, + "learning_rate": 0.00014174174174174176, + "loss": 1.984, + "step": 2920 + }, + { + "epoch": 0.2925, + "grad_norm": 0.7603803277015686, + "learning_rate": 0.00014164164164164164, + "loss": 1.9673, + "step": 2925 + }, + { + "epoch": 0.293, + "grad_norm": 0.8152424693107605, + "learning_rate": 0.00014154154154154156, + "loss": 1.9637, + "step": 2930 + }, + { + "epoch": 0.2935, + "grad_norm": 0.8138707876205444, + "learning_rate": 0.00014144144144144144, + "loss": 1.9587, + "step": 2935 + }, + { + "epoch": 0.294, + "grad_norm": 0.7616044282913208, + "learning_rate": 0.00014134134134134133, + "loss": 1.9424, + "step": 2940 + }, + { + "epoch": 0.2945, + "grad_norm": 0.7655227184295654, + "learning_rate": 0.00014124124124124124, + "loss": 1.957, + "step": 2945 + }, + { + "epoch": 0.295, + "grad_norm": 0.8408180475234985, + "learning_rate": 0.00014114114114114113, + "loss": 1.9452, + "step": 2950 + }, + { + "epoch": 0.2955, + "grad_norm": 0.7936397194862366, + "learning_rate": 0.00014104104104104104, + "loss": 1.9595, + "step": 2955 + }, + { + "epoch": 0.296, + "grad_norm": 0.7944901585578918, + "learning_rate": 0.00014094094094094096, + "loss": 1.9666, + "step": 2960 + }, + { + "epoch": 0.2965, + "grad_norm": 0.818505585193634, + "learning_rate": 0.00014084084084084084, + "loss": 1.9738, + "step": 2965 + }, + { + "epoch": 0.297, + "grad_norm": 0.8084187507629395, + "learning_rate": 0.00014074074074074076, + "loss": 1.9401, + "step": 2970 + }, + { + "epoch": 0.2975, + "grad_norm": 0.791145920753479, + "learning_rate": 0.00014064064064064064, + "loss": 1.9562, + "step": 2975 + }, + { + "epoch": 0.298, + "grad_norm": 0.7604819536209106, + "learning_rate": 0.00014054054054054056, + "loss": 1.9602, + "step": 2980 + }, + { + "epoch": 0.2985, + "grad_norm": 0.7864161133766174, + "learning_rate": 0.00014044044044044044, + "loss": 1.9731, + "step": 2985 + }, + { + "epoch": 0.299, + "grad_norm": 0.8198469281196594, + "learning_rate": 0.00014034034034034033, + "loss": 1.9613, + "step": 2990 + }, + { + "epoch": 0.2995, + "grad_norm": 0.8647459745407104, + "learning_rate": 0.00014024024024024024, + "loss": 1.9397, + "step": 2995 + }, + { + "epoch": 0.3, + "grad_norm": 0.7643691897392273, + "learning_rate": 0.00014014014014014013, + "loss": 1.9646, + "step": 3000 + }, + { + "epoch": 0.3005, + "grad_norm": 0.7736343145370483, + "learning_rate": 0.00014004004004004004, + "loss": 1.9638, + "step": 3005 + }, + { + "epoch": 0.301, + "grad_norm": 0.7389901876449585, + "learning_rate": 0.00013993993993993996, + "loss": 1.9815, + "step": 3010 + }, + { + "epoch": 0.3015, + "grad_norm": 0.7692343592643738, + "learning_rate": 0.00013983983983983984, + "loss": 1.9787, + "step": 3015 + }, + { + "epoch": 0.302, + "grad_norm": 0.7531271576881409, + "learning_rate": 0.00013973973973973976, + "loss": 1.9597, + "step": 3020 + }, + { + "epoch": 0.3025, + "grad_norm": 0.7814120054244995, + "learning_rate": 0.00013963963963963964, + "loss": 1.9702, + "step": 3025 + }, + { + "epoch": 0.303, + "grad_norm": 0.757296621799469, + "learning_rate": 0.00013953953953953956, + "loss": 1.9745, + "step": 3030 + }, + { + "epoch": 0.3035, + "grad_norm": 0.8460572361946106, + "learning_rate": 0.00013943943943943944, + "loss": 1.9714, + "step": 3035 + }, + { + "epoch": 0.304, + "grad_norm": 0.8126088380813599, + "learning_rate": 0.00013933933933933933, + "loss": 1.973, + "step": 3040 + }, + { + "epoch": 0.3045, + "grad_norm": 0.7975168228149414, + "learning_rate": 0.00013923923923923925, + "loss": 1.9692, + "step": 3045 + }, + { + "epoch": 0.305, + "grad_norm": 0.7773084044456482, + "learning_rate": 0.00013913913913913913, + "loss": 1.9489, + "step": 3050 + }, + { + "epoch": 0.3055, + "grad_norm": 0.7985555529594421, + "learning_rate": 0.00013903903903903905, + "loss": 1.9835, + "step": 3055 + }, + { + "epoch": 0.306, + "grad_norm": 0.8398511409759521, + "learning_rate": 0.00013893893893893893, + "loss": 1.9602, + "step": 3060 + }, + { + "epoch": 0.3065, + "grad_norm": 0.9037275910377502, + "learning_rate": 0.00013883883883883885, + "loss": 1.9629, + "step": 3065 + }, + { + "epoch": 0.307, + "grad_norm": 0.8658416271209717, + "learning_rate": 0.00013873873873873876, + "loss": 1.9702, + "step": 3070 + }, + { + "epoch": 0.3075, + "grad_norm": 0.7509240508079529, + "learning_rate": 0.00013863863863863865, + "loss": 1.9703, + "step": 3075 + }, + { + "epoch": 0.308, + "grad_norm": 0.7586889863014221, + "learning_rate": 0.00013853853853853856, + "loss": 1.9537, + "step": 3080 + }, + { + "epoch": 0.3085, + "grad_norm": 0.7828867435455322, + "learning_rate": 0.00013843843843843845, + "loss": 1.9686, + "step": 3085 + }, + { + "epoch": 0.309, + "grad_norm": 0.908487856388092, + "learning_rate": 0.00013833833833833833, + "loss": 1.9703, + "step": 3090 + }, + { + "epoch": 0.3095, + "grad_norm": 0.774718165397644, + "learning_rate": 0.00013823823823823825, + "loss": 1.9656, + "step": 3095 + }, + { + "epoch": 0.31, + "grad_norm": 0.7825801372528076, + "learning_rate": 0.00013813813813813813, + "loss": 1.9571, + "step": 3100 + }, + { + "epoch": 0.3105, + "grad_norm": 0.7940477132797241, + "learning_rate": 0.00013803803803803805, + "loss": 1.973, + "step": 3105 + }, + { + "epoch": 0.311, + "grad_norm": 0.7585093975067139, + "learning_rate": 0.00013793793793793793, + "loss": 1.9605, + "step": 3110 + }, + { + "epoch": 0.3115, + "grad_norm": 0.7673121690750122, + "learning_rate": 0.00013783783783783785, + "loss": 1.938, + "step": 3115 + }, + { + "epoch": 0.312, + "grad_norm": 0.8095937371253967, + "learning_rate": 0.00013773773773773776, + "loss": 1.9643, + "step": 3120 + }, + { + "epoch": 0.3125, + "grad_norm": 0.8239126801490784, + "learning_rate": 0.00013763763763763765, + "loss": 1.9655, + "step": 3125 + }, + { + "epoch": 0.313, + "grad_norm": 0.7611415386199951, + "learning_rate": 0.00013753753753753756, + "loss": 1.966, + "step": 3130 + }, + { + "epoch": 0.3135, + "grad_norm": 0.8436517119407654, + "learning_rate": 0.00013743743743743745, + "loss": 1.9885, + "step": 3135 + }, + { + "epoch": 0.314, + "grad_norm": 0.7741273045539856, + "learning_rate": 0.00013733733733733733, + "loss": 1.9593, + "step": 3140 + }, + { + "epoch": 0.3145, + "grad_norm": 0.8990844488143921, + "learning_rate": 0.00013723723723723725, + "loss": 1.9475, + "step": 3145 + }, + { + "epoch": 0.315, + "grad_norm": 0.8114355206489563, + "learning_rate": 0.00013713713713713713, + "loss": 1.9417, + "step": 3150 + }, + { + "epoch": 0.3155, + "grad_norm": 0.9088999032974243, + "learning_rate": 0.00013703703703703705, + "loss": 1.9529, + "step": 3155 + }, + { + "epoch": 0.316, + "grad_norm": 0.7836775183677673, + "learning_rate": 0.00013693693693693693, + "loss": 1.9442, + "step": 3160 + }, + { + "epoch": 0.3165, + "grad_norm": 0.7776234149932861, + "learning_rate": 0.00013683683683683682, + "loss": 1.9618, + "step": 3165 + }, + { + "epoch": 0.317, + "grad_norm": 0.8789812326431274, + "learning_rate": 0.00013673673673673673, + "loss": 1.9714, + "step": 3170 + }, + { + "epoch": 0.3175, + "grad_norm": 0.89927738904953, + "learning_rate": 0.00013663663663663665, + "loss": 1.9523, + "step": 3175 + }, + { + "epoch": 0.318, + "grad_norm": 0.8082011342048645, + "learning_rate": 0.00013653653653653656, + "loss": 1.9535, + "step": 3180 + }, + { + "epoch": 0.3185, + "grad_norm": 0.7667655348777771, + "learning_rate": 0.00013643643643643645, + "loss": 1.9307, + "step": 3185 + }, + { + "epoch": 0.319, + "grad_norm": 0.7933686971664429, + "learning_rate": 0.00013633633633633634, + "loss": 1.9538, + "step": 3190 + }, + { + "epoch": 0.3195, + "grad_norm": 0.800533652305603, + "learning_rate": 0.00013623623623623625, + "loss": 1.9661, + "step": 3195 + }, + { + "epoch": 0.32, + "grad_norm": 0.7852665781974792, + "learning_rate": 0.00013613613613613614, + "loss": 1.9528, + "step": 3200 + }, + { + "epoch": 0.3205, + "grad_norm": 0.8265931010246277, + "learning_rate": 0.00013603603603603605, + "loss": 1.9623, + "step": 3205 + }, + { + "epoch": 0.321, + "grad_norm": 0.8010437488555908, + "learning_rate": 0.00013593593593593594, + "loss": 1.9623, + "step": 3210 + }, + { + "epoch": 0.3215, + "grad_norm": 0.7773730158805847, + "learning_rate": 0.00013583583583583582, + "loss": 1.9646, + "step": 3215 + }, + { + "epoch": 0.322, + "grad_norm": 0.8105774521827698, + "learning_rate": 0.00013573573573573574, + "loss": 1.9534, + "step": 3220 + }, + { + "epoch": 0.3225, + "grad_norm": 0.7743560075759888, + "learning_rate": 0.00013563563563563565, + "loss": 1.9436, + "step": 3225 + }, + { + "epoch": 0.323, + "grad_norm": 0.8030966520309448, + "learning_rate": 0.00013553553553553556, + "loss": 1.9516, + "step": 3230 + }, + { + "epoch": 0.3235, + "grad_norm": 0.8765146732330322, + "learning_rate": 0.00013543543543543545, + "loss": 1.9715, + "step": 3235 + }, + { + "epoch": 0.324, + "grad_norm": 0.7942567467689514, + "learning_rate": 0.00013533533533533534, + "loss": 1.9483, + "step": 3240 + }, + { + "epoch": 0.3245, + "grad_norm": 0.8173383474349976, + "learning_rate": 0.00013523523523523525, + "loss": 1.9529, + "step": 3245 + }, + { + "epoch": 0.325, + "grad_norm": 0.7865030169487, + "learning_rate": 0.00013513513513513514, + "loss": 1.9656, + "step": 3250 + }, + { + "epoch": 0.3255, + "grad_norm": 0.8991813659667969, + "learning_rate": 0.00013503503503503505, + "loss": 1.9551, + "step": 3255 + }, + { + "epoch": 0.326, + "grad_norm": 0.7669337391853333, + "learning_rate": 0.00013493493493493494, + "loss": 1.9618, + "step": 3260 + }, + { + "epoch": 0.3265, + "grad_norm": 0.8322509527206421, + "learning_rate": 0.00013483483483483482, + "loss": 1.9467, + "step": 3265 + }, + { + "epoch": 0.327, + "grad_norm": 0.7678415775299072, + "learning_rate": 0.00013473473473473474, + "loss": 1.9576, + "step": 3270 + }, + { + "epoch": 0.3275, + "grad_norm": 0.8185941576957703, + "learning_rate": 0.00013463463463463462, + "loss": 1.9719, + "step": 3275 + }, + { + "epoch": 0.328, + "grad_norm": 0.8121998906135559, + "learning_rate": 0.00013453453453453454, + "loss": 1.9538, + "step": 3280 + }, + { + "epoch": 0.3285, + "grad_norm": 0.8269667625427246, + "learning_rate": 0.00013443443443443445, + "loss": 1.9472, + "step": 3285 + }, + { + "epoch": 0.329, + "grad_norm": 0.7667022347450256, + "learning_rate": 0.00013433433433433434, + "loss": 1.976, + "step": 3290 + }, + { + "epoch": 0.3295, + "grad_norm": 0.794097363948822, + "learning_rate": 0.00013423423423423425, + "loss": 1.9703, + "step": 3295 + }, + { + "epoch": 0.33, + "grad_norm": 0.7591664791107178, + "learning_rate": 0.00013413413413413414, + "loss": 1.9523, + "step": 3300 + }, + { + "epoch": 0.3305, + "grad_norm": 0.7778351902961731, + "learning_rate": 0.00013403403403403405, + "loss": 1.9448, + "step": 3305 + }, + { + "epoch": 0.331, + "grad_norm": 0.7940652370452881, + "learning_rate": 0.00013393393393393394, + "loss": 1.9482, + "step": 3310 + }, + { + "epoch": 0.3315, + "grad_norm": 0.7958424091339111, + "learning_rate": 0.00013383383383383383, + "loss": 1.9496, + "step": 3315 + }, + { + "epoch": 0.332, + "grad_norm": 0.8664911389350891, + "learning_rate": 0.00013373373373373374, + "loss": 1.9537, + "step": 3320 + }, + { + "epoch": 0.3325, + "grad_norm": 0.8059619665145874, + "learning_rate": 0.00013363363363363363, + "loss": 1.9493, + "step": 3325 + }, + { + "epoch": 0.333, + "grad_norm": 0.7810567021369934, + "learning_rate": 0.00013353353353353354, + "loss": 1.9694, + "step": 3330 + }, + { + "epoch": 0.3335, + "grad_norm": 0.7973411679267883, + "learning_rate": 0.00013343343343343345, + "loss": 1.9506, + "step": 3335 + }, + { + "epoch": 0.334, + "grad_norm": 0.9919584393501282, + "learning_rate": 0.00013333333333333334, + "loss": 1.9544, + "step": 3340 + }, + { + "epoch": 0.3345, + "grad_norm": 0.7684592008590698, + "learning_rate": 0.00013323323323323325, + "loss": 1.9666, + "step": 3345 + }, + { + "epoch": 0.335, + "grad_norm": 0.7740269899368286, + "learning_rate": 0.00013313313313313314, + "loss": 1.9458, + "step": 3350 + }, + { + "epoch": 0.3355, + "grad_norm": 0.7702473402023315, + "learning_rate": 0.00013303303303303305, + "loss": 1.9768, + "step": 3355 + }, + { + "epoch": 0.336, + "grad_norm": 0.784784734249115, + "learning_rate": 0.00013293293293293294, + "loss": 1.9512, + "step": 3360 + }, + { + "epoch": 0.3365, + "grad_norm": 0.9200993180274963, + "learning_rate": 0.00013283283283283283, + "loss": 1.9477, + "step": 3365 + }, + { + "epoch": 0.337, + "grad_norm": 1.021840214729309, + "learning_rate": 0.00013273273273273274, + "loss": 1.9673, + "step": 3370 + }, + { + "epoch": 0.3375, + "grad_norm": 0.920347273349762, + "learning_rate": 0.00013263263263263263, + "loss": 1.9381, + "step": 3375 + }, + { + "epoch": 0.338, + "grad_norm": 0.7917675375938416, + "learning_rate": 0.00013253253253253254, + "loss": 1.943, + "step": 3380 + }, + { + "epoch": 0.3385, + "grad_norm": 0.7981655597686768, + "learning_rate": 0.00013243243243243243, + "loss": 1.9565, + "step": 3385 + }, + { + "epoch": 0.339, + "grad_norm": 0.7743932604789734, + "learning_rate": 0.00013233233233233234, + "loss": 1.9521, + "step": 3390 + }, + { + "epoch": 0.3395, + "grad_norm": 0.784078061580658, + "learning_rate": 0.00013223223223223225, + "loss": 1.9404, + "step": 3395 + }, + { + "epoch": 0.34, + "grad_norm": 0.7654576301574707, + "learning_rate": 0.00013213213213213214, + "loss": 1.9577, + "step": 3400 + }, + { + "epoch": 0.3405, + "grad_norm": 0.7969295382499695, + "learning_rate": 0.00013203203203203206, + "loss": 1.9403, + "step": 3405 + }, + { + "epoch": 0.341, + "grad_norm": 1.016737461090088, + "learning_rate": 0.00013193193193193194, + "loss": 1.9584, + "step": 3410 + }, + { + "epoch": 0.3415, + "grad_norm": 1.0509916543960571, + "learning_rate": 0.00013183183183183183, + "loss": 1.939, + "step": 3415 + }, + { + "epoch": 0.342, + "grad_norm": 0.9138502478599548, + "learning_rate": 0.00013173173173173174, + "loss": 1.9478, + "step": 3420 + }, + { + "epoch": 0.3425, + "grad_norm": 0.817069947719574, + "learning_rate": 0.00013163163163163163, + "loss": 1.9713, + "step": 3425 + }, + { + "epoch": 0.343, + "grad_norm": 0.9959232211112976, + "learning_rate": 0.00013153153153153154, + "loss": 1.9595, + "step": 3430 + }, + { + "epoch": 0.3435, + "grad_norm": 1.0368640422821045, + "learning_rate": 0.00013143143143143143, + "loss": 1.959, + "step": 3435 + }, + { + "epoch": 0.344, + "grad_norm": 0.7973247170448303, + "learning_rate": 0.00013133133133133134, + "loss": 1.9755, + "step": 3440 + }, + { + "epoch": 0.3445, + "grad_norm": 0.8196215033531189, + "learning_rate": 0.00013123123123123126, + "loss": 1.9437, + "step": 3445 + }, + { + "epoch": 0.345, + "grad_norm": 0.9840690493583679, + "learning_rate": 0.00013113113113113114, + "loss": 1.9537, + "step": 3450 + }, + { + "epoch": 0.3455, + "grad_norm": 0.9263918399810791, + "learning_rate": 0.00013103103103103103, + "loss": 1.9339, + "step": 3455 + }, + { + "epoch": 0.346, + "grad_norm": 0.7676291465759277, + "learning_rate": 0.00013093093093093094, + "loss": 1.9359, + "step": 3460 + }, + { + "epoch": 0.3465, + "grad_norm": 0.7748109698295593, + "learning_rate": 0.00013083083083083083, + "loss": 1.9464, + "step": 3465 + }, + { + "epoch": 0.347, + "grad_norm": 0.852546215057373, + "learning_rate": 0.00013073073073073074, + "loss": 1.934, + "step": 3470 + }, + { + "epoch": 0.3475, + "grad_norm": 0.9905356764793396, + "learning_rate": 0.00013063063063063063, + "loss": 1.9459, + "step": 3475 + }, + { + "epoch": 0.348, + "grad_norm": 0.8646652698516846, + "learning_rate": 0.00013053053053053052, + "loss": 1.9385, + "step": 3480 + }, + { + "epoch": 0.3485, + "grad_norm": 0.7634602189064026, + "learning_rate": 0.00013043043043043043, + "loss": 1.9474, + "step": 3485 + }, + { + "epoch": 0.349, + "grad_norm": 0.7793004512786865, + "learning_rate": 0.00013033033033033032, + "loss": 1.9551, + "step": 3490 + }, + { + "epoch": 0.3495, + "grad_norm": 0.7419679760932922, + "learning_rate": 0.00013023023023023023, + "loss": 1.9424, + "step": 3495 + }, + { + "epoch": 0.35, + "grad_norm": 0.7776840329170227, + "learning_rate": 0.00013013013013013014, + "loss": 1.9414, + "step": 3500 + }, + { + "epoch": 0.3505, + "grad_norm": 0.8862317800521851, + "learning_rate": 0.00013003003003003003, + "loss": 1.9629, + "step": 3505 + }, + { + "epoch": 0.351, + "grad_norm": 0.9258846044540405, + "learning_rate": 0.00012992992992992994, + "loss": 1.9242, + "step": 3510 + }, + { + "epoch": 0.3515, + "grad_norm": 0.7799050211906433, + "learning_rate": 0.00012982982982982983, + "loss": 1.963, + "step": 3515 + }, + { + "epoch": 0.352, + "grad_norm": 0.8912829160690308, + "learning_rate": 0.00012972972972972974, + "loss": 1.9574, + "step": 3520 + }, + { + "epoch": 0.3525, + "grad_norm": 0.905232846736908, + "learning_rate": 0.00012962962962962963, + "loss": 1.9294, + "step": 3525 + }, + { + "epoch": 0.353, + "grad_norm": 0.7626670002937317, + "learning_rate": 0.00012952952952952952, + "loss": 1.9524, + "step": 3530 + }, + { + "epoch": 0.3535, + "grad_norm": 0.7529788613319397, + "learning_rate": 0.00012942942942942943, + "loss": 1.9665, + "step": 3535 + }, + { + "epoch": 0.354, + "grad_norm": 0.7423688173294067, + "learning_rate": 0.00012932932932932932, + "loss": 1.9356, + "step": 3540 + }, + { + "epoch": 0.3545, + "grad_norm": 0.7545106410980225, + "learning_rate": 0.00012922922922922923, + "loss": 1.9385, + "step": 3545 + }, + { + "epoch": 0.355, + "grad_norm": 0.7768842577934265, + "learning_rate": 0.00012912912912912915, + "loss": 1.9444, + "step": 3550 + }, + { + "epoch": 0.3555, + "grad_norm": 0.7664159536361694, + "learning_rate": 0.00012902902902902903, + "loss": 1.9363, + "step": 3555 + }, + { + "epoch": 0.356, + "grad_norm": 0.796855628490448, + "learning_rate": 0.00012892892892892895, + "loss": 1.9445, + "step": 3560 + }, + { + "epoch": 0.3565, + "grad_norm": 0.7599654197692871, + "learning_rate": 0.00012882882882882883, + "loss": 1.9486, + "step": 3565 + }, + { + "epoch": 0.357, + "grad_norm": 0.8220765590667725, + "learning_rate": 0.00012872872872872875, + "loss": 1.9604, + "step": 3570 + }, + { + "epoch": 0.3575, + "grad_norm": 0.8476091027259827, + "learning_rate": 0.00012862862862862863, + "loss": 1.9389, + "step": 3575 + }, + { + "epoch": 0.358, + "grad_norm": 0.8238967061042786, + "learning_rate": 0.00012852852852852852, + "loss": 1.9527, + "step": 3580 + }, + { + "epoch": 0.3585, + "grad_norm": 0.8090390563011169, + "learning_rate": 0.00012842842842842843, + "loss": 1.9377, + "step": 3585 + }, + { + "epoch": 0.359, + "grad_norm": 0.7613897919654846, + "learning_rate": 0.00012832832832832832, + "loss": 1.9213, + "step": 3590 + }, + { + "epoch": 0.3595, + "grad_norm": 0.8270089626312256, + "learning_rate": 0.00012822822822822823, + "loss": 1.9519, + "step": 3595 + }, + { + "epoch": 0.36, + "grad_norm": 0.7741177082061768, + "learning_rate": 0.00012812812812812812, + "loss": 1.9569, + "step": 3600 + }, + { + "epoch": 0.3605, + "grad_norm": 0.8119099736213684, + "learning_rate": 0.00012802802802802803, + "loss": 1.9373, + "step": 3605 + }, + { + "epoch": 0.361, + "grad_norm": 0.778448224067688, + "learning_rate": 0.00012792792792792795, + "loss": 1.9433, + "step": 3610 + }, + { + "epoch": 0.3615, + "grad_norm": 0.7723468542098999, + "learning_rate": 0.00012782782782782783, + "loss": 1.9489, + "step": 3615 + }, + { + "epoch": 0.362, + "grad_norm": 0.8068646192550659, + "learning_rate": 0.00012772772772772775, + "loss": 1.9508, + "step": 3620 + }, + { + "epoch": 0.3625, + "grad_norm": 0.7997691631317139, + "learning_rate": 0.00012762762762762763, + "loss": 1.9296, + "step": 3625 + }, + { + "epoch": 0.363, + "grad_norm": 0.7968930006027222, + "learning_rate": 0.00012752752752752752, + "loss": 1.9388, + "step": 3630 + }, + { + "epoch": 0.3635, + "grad_norm": 0.7867845296859741, + "learning_rate": 0.00012742742742742743, + "loss": 1.9337, + "step": 3635 + }, + { + "epoch": 0.364, + "grad_norm": 0.7725551724433899, + "learning_rate": 0.00012732732732732732, + "loss": 1.9355, + "step": 3640 + }, + { + "epoch": 0.3645, + "grad_norm": 0.8146640658378601, + "learning_rate": 0.00012722722722722723, + "loss": 1.9349, + "step": 3645 + }, + { + "epoch": 0.365, + "grad_norm": 0.7650962471961975, + "learning_rate": 0.00012712712712712712, + "loss": 1.9581, + "step": 3650 + }, + { + "epoch": 0.3655, + "grad_norm": 0.7965732216835022, + "learning_rate": 0.00012702702702702703, + "loss": 1.951, + "step": 3655 + }, + { + "epoch": 0.366, + "grad_norm": 0.7692468166351318, + "learning_rate": 0.00012692692692692695, + "loss": 1.9464, + "step": 3660 + }, + { + "epoch": 0.3665, + "grad_norm": 0.7383764982223511, + "learning_rate": 0.00012682682682682684, + "loss": 1.9432, + "step": 3665 + }, + { + "epoch": 0.367, + "grad_norm": 0.7694110870361328, + "learning_rate": 0.00012672672672672675, + "loss": 1.9442, + "step": 3670 + }, + { + "epoch": 0.3675, + "grad_norm": 0.7646791338920593, + "learning_rate": 0.00012662662662662664, + "loss": 1.9124, + "step": 3675 + }, + { + "epoch": 0.368, + "grad_norm": 0.7893620133399963, + "learning_rate": 0.00012652652652652652, + "loss": 1.9336, + "step": 3680 + }, + { + "epoch": 0.3685, + "grad_norm": 0.8947069644927979, + "learning_rate": 0.00012642642642642644, + "loss": 1.9418, + "step": 3685 + }, + { + "epoch": 0.369, + "grad_norm": 0.8227481842041016, + "learning_rate": 0.00012632632632632632, + "loss": 1.9259, + "step": 3690 + }, + { + "epoch": 0.3695, + "grad_norm": 0.8941676020622253, + "learning_rate": 0.00012622622622622624, + "loss": 1.9474, + "step": 3695 + }, + { + "epoch": 0.37, + "grad_norm": 0.8401495218276978, + "learning_rate": 0.00012612612612612612, + "loss": 1.9454, + "step": 3700 + }, + { + "epoch": 0.3705, + "grad_norm": 0.8106552362442017, + "learning_rate": 0.00012602602602602604, + "loss": 1.9469, + "step": 3705 + }, + { + "epoch": 0.371, + "grad_norm": 0.7758846879005432, + "learning_rate": 0.00012592592592592592, + "loss": 1.9405, + "step": 3710 + }, + { + "epoch": 0.3715, + "grad_norm": 0.8738759756088257, + "learning_rate": 0.00012582582582582584, + "loss": 1.9212, + "step": 3715 + }, + { + "epoch": 0.372, + "grad_norm": 0.8900704979896545, + "learning_rate": 0.00012572572572572575, + "loss": 1.9482, + "step": 3720 + }, + { + "epoch": 0.3725, + "grad_norm": 0.8583644032478333, + "learning_rate": 0.00012562562562562564, + "loss": 1.9352, + "step": 3725 + }, + { + "epoch": 0.373, + "grad_norm": 0.7823512554168701, + "learning_rate": 0.00012552552552552552, + "loss": 1.9295, + "step": 3730 + }, + { + "epoch": 0.3735, + "grad_norm": 0.7929084897041321, + "learning_rate": 0.00012542542542542544, + "loss": 1.9361, + "step": 3735 + }, + { + "epoch": 0.374, + "grad_norm": 0.7727826833724976, + "learning_rate": 0.00012532532532532532, + "loss": 1.943, + "step": 3740 + }, + { + "epoch": 0.3745, + "grad_norm": 0.7919679284095764, + "learning_rate": 0.00012522522522522524, + "loss": 1.943, + "step": 3745 + }, + { + "epoch": 0.375, + "grad_norm": 0.7749269604682922, + "learning_rate": 0.00012512512512512512, + "loss": 1.9338, + "step": 3750 + }, + { + "epoch": 0.3755, + "grad_norm": 0.7870975732803345, + "learning_rate": 0.000125025025025025, + "loss": 1.9277, + "step": 3755 + }, + { + "epoch": 0.376, + "grad_norm": 0.7871671319007874, + "learning_rate": 0.00012492492492492492, + "loss": 1.9552, + "step": 3760 + }, + { + "epoch": 0.3765, + "grad_norm": 0.7836071848869324, + "learning_rate": 0.00012482482482482484, + "loss": 1.9263, + "step": 3765 + }, + { + "epoch": 0.377, + "grad_norm": 0.7796449065208435, + "learning_rate": 0.00012472472472472475, + "loss": 1.9495, + "step": 3770 + }, + { + "epoch": 0.3775, + "grad_norm": 0.7606745362281799, + "learning_rate": 0.00012462462462462464, + "loss": 1.9317, + "step": 3775 + }, + { + "epoch": 0.378, + "grad_norm": 0.7624865770339966, + "learning_rate": 0.00012452452452452452, + "loss": 1.951, + "step": 3780 + }, + { + "epoch": 0.3785, + "grad_norm": 0.7752624154090881, + "learning_rate": 0.00012442442442442444, + "loss": 1.9448, + "step": 3785 + }, + { + "epoch": 0.379, + "grad_norm": 0.8232024312019348, + "learning_rate": 0.00012432432432432433, + "loss": 1.9309, + "step": 3790 + }, + { + "epoch": 0.3795, + "grad_norm": 0.7860484719276428, + "learning_rate": 0.00012422422422422424, + "loss": 1.9443, + "step": 3795 + }, + { + "epoch": 0.38, + "grad_norm": 0.769604504108429, + "learning_rate": 0.00012412412412412413, + "loss": 1.9433, + "step": 3800 + }, + { + "epoch": 0.3805, + "grad_norm": 0.8487102389335632, + "learning_rate": 0.000124024024024024, + "loss": 1.9339, + "step": 3805 + }, + { + "epoch": 0.381, + "grad_norm": 0.8145004510879517, + "learning_rate": 0.00012392392392392393, + "loss": 1.943, + "step": 3810 + }, + { + "epoch": 0.3815, + "grad_norm": 0.8356045484542847, + "learning_rate": 0.0001238238238238238, + "loss": 1.932, + "step": 3815 + }, + { + "epoch": 0.382, + "grad_norm": 0.7990782856941223, + "learning_rate": 0.00012372372372372373, + "loss": 1.9458, + "step": 3820 + }, + { + "epoch": 0.3825, + "grad_norm": 0.7622951865196228, + "learning_rate": 0.00012362362362362364, + "loss": 1.9538, + "step": 3825 + }, + { + "epoch": 0.383, + "grad_norm": 0.796141505241394, + "learning_rate": 0.00012352352352352353, + "loss": 1.9274, + "step": 3830 + }, + { + "epoch": 0.3835, + "grad_norm": 0.9116307497024536, + "learning_rate": 0.00012342342342342344, + "loss": 1.9415, + "step": 3835 + }, + { + "epoch": 0.384, + "grad_norm": 0.7524915337562561, + "learning_rate": 0.00012332332332332333, + "loss": 1.9182, + "step": 3840 + }, + { + "epoch": 0.3845, + "grad_norm": 0.7611434459686279, + "learning_rate": 0.00012322322322322324, + "loss": 1.9306, + "step": 3845 + }, + { + "epoch": 0.385, + "grad_norm": 0.7478082180023193, + "learning_rate": 0.00012312312312312313, + "loss": 1.9239, + "step": 3850 + }, + { + "epoch": 0.3855, + "grad_norm": 0.7586308121681213, + "learning_rate": 0.000123023023023023, + "loss": 1.9332, + "step": 3855 + }, + { + "epoch": 0.386, + "grad_norm": 0.8614716529846191, + "learning_rate": 0.00012292292292292293, + "loss": 1.9583, + "step": 3860 + }, + { + "epoch": 0.3865, + "grad_norm": 0.7706379294395447, + "learning_rate": 0.00012282282282282281, + "loss": 1.9448, + "step": 3865 + }, + { + "epoch": 0.387, + "grad_norm": 0.802075982093811, + "learning_rate": 0.00012272272272272273, + "loss": 1.933, + "step": 3870 + }, + { + "epoch": 0.3875, + "grad_norm": 0.8200154900550842, + "learning_rate": 0.00012262262262262264, + "loss": 1.9213, + "step": 3875 + }, + { + "epoch": 0.388, + "grad_norm": 0.8005445599555969, + "learning_rate": 0.00012252252252252253, + "loss": 1.9423, + "step": 3880 + }, + { + "epoch": 0.3885, + "grad_norm": 0.9639005661010742, + "learning_rate": 0.00012242242242242244, + "loss": 1.928, + "step": 3885 + }, + { + "epoch": 0.389, + "grad_norm": 0.805856466293335, + "learning_rate": 0.00012232232232232233, + "loss": 1.9459, + "step": 3890 + }, + { + "epoch": 0.3895, + "grad_norm": 0.735449492931366, + "learning_rate": 0.00012222222222222224, + "loss": 1.933, + "step": 3895 + }, + { + "epoch": 0.39, + "grad_norm": 0.7601875066757202, + "learning_rate": 0.00012212212212212213, + "loss": 1.925, + "step": 3900 + }, + { + "epoch": 0.3905, + "grad_norm": 0.7551021575927734, + "learning_rate": 0.00012202202202202201, + "loss": 1.9213, + "step": 3905 + }, + { + "epoch": 0.391, + "grad_norm": 0.7619316577911377, + "learning_rate": 0.00012192192192192193, + "loss": 1.9242, + "step": 3910 + }, + { + "epoch": 0.3915, + "grad_norm": 0.8216850161552429, + "learning_rate": 0.00012182182182182183, + "loss": 1.927, + "step": 3915 + }, + { + "epoch": 0.392, + "grad_norm": 0.9015415906906128, + "learning_rate": 0.00012172172172172174, + "loss": 1.9438, + "step": 3920 + }, + { + "epoch": 0.3925, + "grad_norm": 0.9189796447753906, + "learning_rate": 0.00012162162162162163, + "loss": 1.9164, + "step": 3925 + }, + { + "epoch": 0.393, + "grad_norm": 0.799855649471283, + "learning_rate": 0.00012152152152152152, + "loss": 1.9502, + "step": 3930 + }, + { + "epoch": 0.3935, + "grad_norm": 0.7941702604293823, + "learning_rate": 0.00012142142142142143, + "loss": 1.9306, + "step": 3935 + }, + { + "epoch": 0.394, + "grad_norm": 0.8794786334037781, + "learning_rate": 0.00012132132132132133, + "loss": 1.9196, + "step": 3940 + }, + { + "epoch": 0.3945, + "grad_norm": 0.9179593920707703, + "learning_rate": 0.00012122122122122124, + "loss": 1.9362, + "step": 3945 + }, + { + "epoch": 0.395, + "grad_norm": 0.7571364641189575, + "learning_rate": 0.00012112112112112113, + "loss": 1.9292, + "step": 3950 + }, + { + "epoch": 0.3955, + "grad_norm": 0.8133040070533752, + "learning_rate": 0.00012102102102102102, + "loss": 1.9564, + "step": 3955 + }, + { + "epoch": 0.396, + "grad_norm": 0.7867616415023804, + "learning_rate": 0.00012092092092092093, + "loss": 1.9368, + "step": 3960 + }, + { + "epoch": 0.3965, + "grad_norm": 0.768710196018219, + "learning_rate": 0.00012082082082082083, + "loss": 1.9146, + "step": 3965 + }, + { + "epoch": 0.397, + "grad_norm": 0.8447054028511047, + "learning_rate": 0.00012072072072072073, + "loss": 1.9227, + "step": 3970 + }, + { + "epoch": 0.3975, + "grad_norm": 0.8007540702819824, + "learning_rate": 0.00012062062062062063, + "loss": 1.9518, + "step": 3975 + }, + { + "epoch": 0.398, + "grad_norm": 0.8003354668617249, + "learning_rate": 0.00012052052052052052, + "loss": 1.9296, + "step": 3980 + }, + { + "epoch": 0.3985, + "grad_norm": 0.7936831712722778, + "learning_rate": 0.00012042042042042043, + "loss": 1.935, + "step": 3985 + }, + { + "epoch": 0.399, + "grad_norm": 0.801343560218811, + "learning_rate": 0.00012032032032032032, + "loss": 1.951, + "step": 3990 + }, + { + "epoch": 0.3995, + "grad_norm": 2.931938648223877, + "learning_rate": 0.00012022022022022023, + "loss": 2.2622, + "step": 3995 + }, + { + "epoch": 0.4, + "grad_norm": 1.9284015893936157, + "learning_rate": 0.00012012012012012013, + "loss": 2.7305, + "step": 4000 + }, + { + "epoch": 0.4005, + "grad_norm": 1.391554355621338, + "learning_rate": 0.00012002002002002002, + "loss": 2.4457, + "step": 4005 + }, + { + "epoch": 0.401, + "grad_norm": 1.0932132005691528, + "learning_rate": 0.00011991991991991993, + "loss": 2.3634, + "step": 4010 + }, + { + "epoch": 0.4015, + "grad_norm": 0.9506504535675049, + "learning_rate": 0.00011981981981981982, + "loss": 2.2795, + "step": 4015 + }, + { + "epoch": 0.402, + "grad_norm": 0.8915263414382935, + "learning_rate": 0.00011971971971971973, + "loss": 2.2108, + "step": 4020 + }, + { + "epoch": 0.4025, + "grad_norm": 0.9343470931053162, + "learning_rate": 0.00011961961961961963, + "loss": 2.171, + "step": 4025 + }, + { + "epoch": 0.403, + "grad_norm": 0.9694389700889587, + "learning_rate": 0.00011951951951951952, + "loss": 2.2073, + "step": 4030 + }, + { + "epoch": 0.4035, + "grad_norm": 0.8602437973022461, + "learning_rate": 0.00011941941941941943, + "loss": 2.1673, + "step": 4035 + }, + { + "epoch": 0.404, + "grad_norm": 0.8877463340759277, + "learning_rate": 0.00011931931931931932, + "loss": 2.1523, + "step": 4040 + }, + { + "epoch": 0.4045, + "grad_norm": 0.9396592378616333, + "learning_rate": 0.00011921921921921923, + "loss": 2.1447, + "step": 4045 + }, + { + "epoch": 0.405, + "grad_norm": 0.887259304523468, + "learning_rate": 0.00011911911911911913, + "loss": 2.125, + "step": 4050 + }, + { + "epoch": 0.4055, + "grad_norm": 0.9970149397850037, + "learning_rate": 0.00011901901901901902, + "loss": 2.117, + "step": 4055 + }, + { + "epoch": 0.406, + "grad_norm": 0.9191226959228516, + "learning_rate": 0.00011891891891891893, + "loss": 2.095, + "step": 4060 + }, + { + "epoch": 0.4065, + "grad_norm": 0.9096970558166504, + "learning_rate": 0.00011881881881881882, + "loss": 2.0905, + "step": 4065 + }, + { + "epoch": 0.407, + "grad_norm": 0.9250726103782654, + "learning_rate": 0.00011871871871871872, + "loss": 2.0447, + "step": 4070 + }, + { + "epoch": 0.4075, + "grad_norm": 0.848983883857727, + "learning_rate": 0.00011861861861861863, + "loss": 2.0659, + "step": 4075 + }, + { + "epoch": 0.408, + "grad_norm": 0.837566614151001, + "learning_rate": 0.00011851851851851852, + "loss": 2.0291, + "step": 4080 + }, + { + "epoch": 0.4085, + "grad_norm": 0.8990424871444702, + "learning_rate": 0.00011841841841841843, + "loss": 2.0786, + "step": 4085 + }, + { + "epoch": 0.409, + "grad_norm": 0.9345883727073669, + "learning_rate": 0.00011831831831831832, + "loss": 2.0498, + "step": 4090 + }, + { + "epoch": 0.4095, + "grad_norm": 0.9079171419143677, + "learning_rate": 0.0001182182182182182, + "loss": 2.0502, + "step": 4095 + }, + { + "epoch": 0.41, + "grad_norm": 0.8899641633033752, + "learning_rate": 0.00011811811811811812, + "loss": 2.0554, + "step": 4100 + }, + { + "epoch": 0.4105, + "grad_norm": 0.8282867074012756, + "learning_rate": 0.00011801801801801802, + "loss": 2.0017, + "step": 4105 + }, + { + "epoch": 0.411, + "grad_norm": 0.8713417649269104, + "learning_rate": 0.00011791791791791793, + "loss": 2.0477, + "step": 4110 + }, + { + "epoch": 0.4115, + "grad_norm": 0.8387519717216492, + "learning_rate": 0.00011781781781781782, + "loss": 2.013, + "step": 4115 + }, + { + "epoch": 0.412, + "grad_norm": 0.8442679047584534, + "learning_rate": 0.00011771771771771771, + "loss": 2.0011, + "step": 4120 + }, + { + "epoch": 0.4125, + "grad_norm": 0.8642622828483582, + "learning_rate": 0.00011761761761761762, + "loss": 2.0232, + "step": 4125 + }, + { + "epoch": 0.413, + "grad_norm": 1.0152161121368408, + "learning_rate": 0.00011751751751751752, + "loss": 2.0444, + "step": 4130 + }, + { + "epoch": 0.4135, + "grad_norm": 0.8902932405471802, + "learning_rate": 0.00011741741741741743, + "loss": 1.9905, + "step": 4135 + }, + { + "epoch": 0.414, + "grad_norm": 0.9433906078338623, + "learning_rate": 0.00011731731731731732, + "loss": 2.0023, + "step": 4140 + }, + { + "epoch": 0.4145, + "grad_norm": 0.8779952526092529, + "learning_rate": 0.00011721721721721721, + "loss": 2.0103, + "step": 4145 + }, + { + "epoch": 0.415, + "grad_norm": 0.878989577293396, + "learning_rate": 0.00011711711711711712, + "loss": 2.0167, + "step": 4150 + }, + { + "epoch": 0.4155, + "grad_norm": 0.8977020978927612, + "learning_rate": 0.00011701701701701702, + "loss": 1.9904, + "step": 4155 + }, + { + "epoch": 0.416, + "grad_norm": 1.0385823249816895, + "learning_rate": 0.00011691691691691694, + "loss": 2.0096, + "step": 4160 + }, + { + "epoch": 0.4165, + "grad_norm": 0.9478892683982849, + "learning_rate": 0.00011681681681681682, + "loss": 2.0252, + "step": 4165 + }, + { + "epoch": 0.417, + "grad_norm": 0.904509961605072, + "learning_rate": 0.00011671671671671671, + "loss": 2.0162, + "step": 4170 + }, + { + "epoch": 0.4175, + "grad_norm": 0.8369683027267456, + "learning_rate": 0.00011661661661661662, + "loss": 2.009, + "step": 4175 + }, + { + "epoch": 0.418, + "grad_norm": 0.8266960382461548, + "learning_rate": 0.00011651651651651652, + "loss": 1.9785, + "step": 4180 + }, + { + "epoch": 0.4185, + "grad_norm": 0.8447481393814087, + "learning_rate": 0.00011641641641641644, + "loss": 1.9693, + "step": 4185 + }, + { + "epoch": 0.419, + "grad_norm": 0.8444758653640747, + "learning_rate": 0.00011631631631631632, + "loss": 1.9775, + "step": 4190 + }, + { + "epoch": 0.4195, + "grad_norm": 0.8235093355178833, + "learning_rate": 0.00011621621621621621, + "loss": 1.9557, + "step": 4195 + }, + { + "epoch": 0.42, + "grad_norm": 0.9242146611213684, + "learning_rate": 0.00011611611611611612, + "loss": 1.9597, + "step": 4200 + }, + { + "epoch": 0.4205, + "grad_norm": 0.8500037789344788, + "learning_rate": 0.00011601601601601601, + "loss": 1.9717, + "step": 4205 + }, + { + "epoch": 0.421, + "grad_norm": 0.8934337496757507, + "learning_rate": 0.00011591591591591592, + "loss": 1.9765, + "step": 4210 + }, + { + "epoch": 0.4215, + "grad_norm": 0.9102895855903625, + "learning_rate": 0.00011581581581581582, + "loss": 1.9449, + "step": 4215 + }, + { + "epoch": 0.422, + "grad_norm": 0.8801275491714478, + "learning_rate": 0.00011571571571571571, + "loss": 1.9337, + "step": 4220 + }, + { + "epoch": 0.4225, + "grad_norm": 0.9498214721679688, + "learning_rate": 0.00011561561561561562, + "loss": 1.9817, + "step": 4225 + }, + { + "epoch": 0.423, + "grad_norm": 0.9641104340553284, + "learning_rate": 0.00011551551551551551, + "loss": 1.9278, + "step": 4230 + }, + { + "epoch": 0.4235, + "grad_norm": 0.8352410793304443, + "learning_rate": 0.00011541541541541542, + "loss": 1.9225, + "step": 4235 + }, + { + "epoch": 0.424, + "grad_norm": 0.8993573784828186, + "learning_rate": 0.00011531531531531532, + "loss": 1.959, + "step": 4240 + }, + { + "epoch": 0.4245, + "grad_norm": 1.0262569189071655, + "learning_rate": 0.00011521521521521521, + "loss": 1.9422, + "step": 4245 + }, + { + "epoch": 0.425, + "grad_norm": 0.8517004251480103, + "learning_rate": 0.00011511511511511512, + "loss": 1.9638, + "step": 4250 + }, + { + "epoch": 0.4255, + "grad_norm": 0.9371127486228943, + "learning_rate": 0.00011501501501501501, + "loss": 1.9408, + "step": 4255 + }, + { + "epoch": 0.426, + "grad_norm": 0.8500112295150757, + "learning_rate": 0.00011491491491491492, + "loss": 1.9598, + "step": 4260 + }, + { + "epoch": 0.4265, + "grad_norm": 0.8576430082321167, + "learning_rate": 0.00011481481481481482, + "loss": 1.9172, + "step": 4265 + }, + { + "epoch": 0.427, + "grad_norm": 0.8595812320709229, + "learning_rate": 0.00011471471471471471, + "loss": 1.9099, + "step": 4270 + }, + { + "epoch": 0.4275, + "grad_norm": 0.8851966261863708, + "learning_rate": 0.00011461461461461463, + "loss": 1.9295, + "step": 4275 + }, + { + "epoch": 0.428, + "grad_norm": 0.8601343631744385, + "learning_rate": 0.00011451451451451451, + "loss": 1.9518, + "step": 4280 + }, + { + "epoch": 0.4285, + "grad_norm": 0.8601483106613159, + "learning_rate": 0.00011441441441441443, + "loss": 1.9821, + "step": 4285 + }, + { + "epoch": 0.429, + "grad_norm": 0.8733670711517334, + "learning_rate": 0.00011431431431431433, + "loss": 1.9475, + "step": 4290 + }, + { + "epoch": 0.4295, + "grad_norm": 0.8573125004768372, + "learning_rate": 0.00011421421421421421, + "loss": 1.92, + "step": 4295 + }, + { + "epoch": 0.43, + "grad_norm": 0.8779380321502686, + "learning_rate": 0.00011411411411411413, + "loss": 1.9252, + "step": 4300 + }, + { + "epoch": 0.4305, + "grad_norm": 0.842447817325592, + "learning_rate": 0.00011401401401401401, + "loss": 1.9418, + "step": 4305 + }, + { + "epoch": 0.431, + "grad_norm": 0.8564408421516418, + "learning_rate": 0.00011391391391391393, + "loss": 1.8845, + "step": 4310 + }, + { + "epoch": 0.4315, + "grad_norm": 0.9953034520149231, + "learning_rate": 0.00011381381381381381, + "loss": 1.9288, + "step": 4315 + }, + { + "epoch": 0.432, + "grad_norm": 0.9179754257202148, + "learning_rate": 0.00011371371371371371, + "loss": 1.9554, + "step": 4320 + }, + { + "epoch": 0.4325, + "grad_norm": 0.8732195496559143, + "learning_rate": 0.00011361361361361363, + "loss": 1.8688, + "step": 4325 + }, + { + "epoch": 0.433, + "grad_norm": 0.9357179999351501, + "learning_rate": 0.00011351351351351351, + "loss": 1.8807, + "step": 4330 + }, + { + "epoch": 0.4335, + "grad_norm": 0.9172531962394714, + "learning_rate": 0.00011341341341341343, + "loss": 1.9408, + "step": 4335 + }, + { + "epoch": 0.434, + "grad_norm": 0.8920251131057739, + "learning_rate": 0.00011331331331331331, + "loss": 1.8865, + "step": 4340 + }, + { + "epoch": 0.4345, + "grad_norm": 0.9782935380935669, + "learning_rate": 0.00011321321321321321, + "loss": 1.8862, + "step": 4345 + }, + { + "epoch": 0.435, + "grad_norm": 0.9634548425674438, + "learning_rate": 0.00011311311311311313, + "loss": 1.8773, + "step": 4350 + }, + { + "epoch": 0.4355, + "grad_norm": 0.9303472638130188, + "learning_rate": 0.00011301301301301301, + "loss": 1.9031, + "step": 4355 + }, + { + "epoch": 0.436, + "grad_norm": 0.9065335392951965, + "learning_rate": 0.00011291291291291293, + "loss": 1.9339, + "step": 4360 + }, + { + "epoch": 0.4365, + "grad_norm": 0.889884889125824, + "learning_rate": 0.00011281281281281281, + "loss": 1.9205, + "step": 4365 + }, + { + "epoch": 0.437, + "grad_norm": 1.0310100317001343, + "learning_rate": 0.00011271271271271271, + "loss": 1.8889, + "step": 4370 + }, + { + "epoch": 0.4375, + "grad_norm": 0.8499249219894409, + "learning_rate": 0.00011261261261261263, + "loss": 1.8759, + "step": 4375 + }, + { + "epoch": 0.438, + "grad_norm": 0.8602859377861023, + "learning_rate": 0.00011251251251251251, + "loss": 1.9448, + "step": 4380 + }, + { + "epoch": 0.4385, + "grad_norm": 0.8887655735015869, + "learning_rate": 0.00011241241241241243, + "loss": 1.8755, + "step": 4385 + }, + { + "epoch": 0.439, + "grad_norm": 0.8571450114250183, + "learning_rate": 0.00011231231231231231, + "loss": 1.8516, + "step": 4390 + }, + { + "epoch": 0.4395, + "grad_norm": 1.1664048433303833, + "learning_rate": 0.00011221221221221221, + "loss": 1.8886, + "step": 4395 + }, + { + "epoch": 0.44, + "grad_norm": 0.8851452469825745, + "learning_rate": 0.00011211211211211213, + "loss": 1.8924, + "step": 4400 + }, + { + "epoch": 0.4405, + "grad_norm": 0.9703869223594666, + "learning_rate": 0.00011201201201201202, + "loss": 1.8651, + "step": 4405 + }, + { + "epoch": 0.441, + "grad_norm": 0.9467156529426575, + "learning_rate": 0.00011191191191191193, + "loss": 1.8938, + "step": 4410 + }, + { + "epoch": 0.4415, + "grad_norm": 0.9211694598197937, + "learning_rate": 0.00011181181181181182, + "loss": 1.9098, + "step": 4415 + }, + { + "epoch": 0.442, + "grad_norm": 0.8704224228858948, + "learning_rate": 0.0001117117117117117, + "loss": 1.8772, + "step": 4420 + }, + { + "epoch": 0.4425, + "grad_norm": 0.9551790356636047, + "learning_rate": 0.00011161161161161162, + "loss": 1.8752, + "step": 4425 + }, + { + "epoch": 0.443, + "grad_norm": 0.9262571334838867, + "learning_rate": 0.00011151151151151152, + "loss": 1.8697, + "step": 4430 + }, + { + "epoch": 0.4435, + "grad_norm": 0.8499231338500977, + "learning_rate": 0.00011141141141141143, + "loss": 1.8876, + "step": 4435 + }, + { + "epoch": 0.444, + "grad_norm": 0.8752108812332153, + "learning_rate": 0.00011131131131131132, + "loss": 1.9077, + "step": 4440 + }, + { + "epoch": 0.4445, + "grad_norm": 0.9217672944068909, + "learning_rate": 0.0001112112112112112, + "loss": 1.8906, + "step": 4445 + }, + { + "epoch": 0.445, + "grad_norm": 0.9115353226661682, + "learning_rate": 0.00011111111111111112, + "loss": 1.8512, + "step": 4450 + }, + { + "epoch": 0.4455, + "grad_norm": 0.8915761113166809, + "learning_rate": 0.00011101101101101102, + "loss": 1.8281, + "step": 4455 + }, + { + "epoch": 0.446, + "grad_norm": 0.8932358026504517, + "learning_rate": 0.00011091091091091093, + "loss": 1.8797, + "step": 4460 + }, + { + "epoch": 0.4465, + "grad_norm": 0.9420803189277649, + "learning_rate": 0.00011081081081081082, + "loss": 1.8532, + "step": 4465 + }, + { + "epoch": 0.447, + "grad_norm": 0.9950898885726929, + "learning_rate": 0.0001107107107107107, + "loss": 1.8449, + "step": 4470 + }, + { + "epoch": 0.4475, + "grad_norm": 0.9600904583930969, + "learning_rate": 0.00011061061061061062, + "loss": 1.8968, + "step": 4475 + }, + { + "epoch": 0.448, + "grad_norm": 0.9210178256034851, + "learning_rate": 0.00011051051051051052, + "loss": 1.9221, + "step": 4480 + }, + { + "epoch": 0.4485, + "grad_norm": 0.9000430107116699, + "learning_rate": 0.00011041041041041043, + "loss": 1.8657, + "step": 4485 + }, + { + "epoch": 0.449, + "grad_norm": 0.8674874901771545, + "learning_rate": 0.00011031031031031032, + "loss": 1.8752, + "step": 4490 + }, + { + "epoch": 0.4495, + "grad_norm": 0.943356990814209, + "learning_rate": 0.0001102102102102102, + "loss": 1.8241, + "step": 4495 + }, + { + "epoch": 0.45, + "grad_norm": 0.990490734577179, + "learning_rate": 0.00011011011011011012, + "loss": 1.859, + "step": 4500 + }, + { + "epoch": 0.4505, + "grad_norm": 0.9066656827926636, + "learning_rate": 0.00011001001001001002, + "loss": 1.8771, + "step": 4505 + }, + { + "epoch": 0.451, + "grad_norm": 0.9334986209869385, + "learning_rate": 0.00010990990990990993, + "loss": 1.8818, + "step": 4510 + }, + { + "epoch": 0.4515, + "grad_norm": 0.9269065856933594, + "learning_rate": 0.00010980980980980982, + "loss": 1.8744, + "step": 4515 + }, + { + "epoch": 0.452, + "grad_norm": 0.8838782906532288, + "learning_rate": 0.0001097097097097097, + "loss": 1.8927, + "step": 4520 + }, + { + "epoch": 0.4525, + "grad_norm": 0.8809515237808228, + "learning_rate": 0.00010960960960960962, + "loss": 1.865, + "step": 4525 + }, + { + "epoch": 0.453, + "grad_norm": 0.8855170011520386, + "learning_rate": 0.0001095095095095095, + "loss": 1.8636, + "step": 4530 + }, + { + "epoch": 0.4535, + "grad_norm": 0.850659191608429, + "learning_rate": 0.00010940940940940942, + "loss": 1.8416, + "step": 4535 + }, + { + "epoch": 0.454, + "grad_norm": 1.209594488143921, + "learning_rate": 0.00010930930930930932, + "loss": 1.8474, + "step": 4540 + }, + { + "epoch": 0.4545, + "grad_norm": 0.9443528056144714, + "learning_rate": 0.0001092092092092092, + "loss": 1.853, + "step": 4545 + }, + { + "epoch": 0.455, + "grad_norm": 0.8795249462127686, + "learning_rate": 0.00010910910910910912, + "loss": 1.8462, + "step": 4550 + }, + { + "epoch": 0.4555, + "grad_norm": 0.9223023653030396, + "learning_rate": 0.000109009009009009, + "loss": 1.8644, + "step": 4555 + }, + { + "epoch": 0.456, + "grad_norm": 0.8747789263725281, + "learning_rate": 0.00010890890890890892, + "loss": 1.8643, + "step": 4560 + }, + { + "epoch": 0.4565, + "grad_norm": 0.8761250376701355, + "learning_rate": 0.00010880880880880882, + "loss": 1.8209, + "step": 4565 + }, + { + "epoch": 0.457, + "grad_norm": 0.8845246434211731, + "learning_rate": 0.0001087087087087087, + "loss": 1.8566, + "step": 4570 + }, + { + "epoch": 0.4575, + "grad_norm": 0.8876487016677856, + "learning_rate": 0.00010860860860860862, + "loss": 1.8304, + "step": 4575 + }, + { + "epoch": 0.458, + "grad_norm": 0.9176833033561707, + "learning_rate": 0.0001085085085085085, + "loss": 1.8323, + "step": 4580 + }, + { + "epoch": 0.4585, + "grad_norm": 0.9132845997810364, + "learning_rate": 0.00010840840840840842, + "loss": 1.8235, + "step": 4585 + }, + { + "epoch": 0.459, + "grad_norm": 0.8965134024620056, + "learning_rate": 0.00010830830830830832, + "loss": 1.8405, + "step": 4590 + }, + { + "epoch": 0.4595, + "grad_norm": 0.8731141686439514, + "learning_rate": 0.00010820820820820821, + "loss": 1.8521, + "step": 4595 + }, + { + "epoch": 0.46, + "grad_norm": 0.8298085927963257, + "learning_rate": 0.00010810810810810812, + "loss": 1.8678, + "step": 4600 + }, + { + "epoch": 0.4605, + "grad_norm": 0.9257004261016846, + "learning_rate": 0.00010800800800800801, + "loss": 1.8492, + "step": 4605 + }, + { + "epoch": 0.461, + "grad_norm": 0.8877549767494202, + "learning_rate": 0.00010790790790790792, + "loss": 1.8265, + "step": 4610 + }, + { + "epoch": 0.4615, + "grad_norm": 0.9602069854736328, + "learning_rate": 0.00010780780780780782, + "loss": 1.8731, + "step": 4615 + }, + { + "epoch": 0.462, + "grad_norm": 0.8777331113815308, + "learning_rate": 0.00010770770770770771, + "loss": 1.8595, + "step": 4620 + }, + { + "epoch": 0.4625, + "grad_norm": 1.8534454107284546, + "learning_rate": 0.00010760760760760762, + "loss": 3.3102, + "step": 4625 + }, + { + "epoch": 0.463, + "grad_norm": 1.721049189567566, + "learning_rate": 0.00010750750750750751, + "loss": 3.1247, + "step": 4630 + }, + { + "epoch": 0.4635, + "grad_norm": 1.1871305704116821, + "learning_rate": 0.00010740740740740742, + "loss": 3.0256, + "step": 4635 + }, + { + "epoch": 0.464, + "grad_norm": 0.9916480183601379, + "learning_rate": 0.00010730730730730731, + "loss": 2.9173, + "step": 4640 + }, + { + "epoch": 0.4645, + "grad_norm": 0.8853825330734253, + "learning_rate": 0.00010720720720720721, + "loss": 2.8852, + "step": 4645 + }, + { + "epoch": 0.465, + "grad_norm": 0.9272099733352661, + "learning_rate": 0.00010710710710710712, + "loss": 2.8115, + "step": 4650 + }, + { + "epoch": 0.4655, + "grad_norm": 0.8129410743713379, + "learning_rate": 0.00010700700700700701, + "loss": 2.7959, + "step": 4655 + }, + { + "epoch": 0.466, + "grad_norm": 0.8323870301246643, + "learning_rate": 0.00010690690690690692, + "loss": 2.7888, + "step": 4660 + }, + { + "epoch": 0.4665, + "grad_norm": 0.8004547953605652, + "learning_rate": 0.00010680680680680681, + "loss": 2.7576, + "step": 4665 + }, + { + "epoch": 0.467, + "grad_norm": 0.7928503155708313, + "learning_rate": 0.00010670670670670671, + "loss": 2.7664, + "step": 4670 + }, + { + "epoch": 0.4675, + "grad_norm": 0.773970901966095, + "learning_rate": 0.00010660660660660662, + "loss": 2.7214, + "step": 4675 + }, + { + "epoch": 0.468, + "grad_norm": 0.8073243498802185, + "learning_rate": 0.00010650650650650651, + "loss": 2.7298, + "step": 4680 + }, + { + "epoch": 0.4685, + "grad_norm": 0.7617459297180176, + "learning_rate": 0.00010640640640640642, + "loss": 2.7076, + "step": 4685 + }, + { + "epoch": 0.469, + "grad_norm": 0.8188638687133789, + "learning_rate": 0.00010630630630630631, + "loss": 2.7152, + "step": 4690 + }, + { + "epoch": 0.4695, + "grad_norm": 0.8789124488830566, + "learning_rate": 0.00010620620620620621, + "loss": 2.6893, + "step": 4695 + }, + { + "epoch": 0.47, + "grad_norm": 0.8619881272315979, + "learning_rate": 0.00010610610610610612, + "loss": 2.695, + "step": 4700 + }, + { + "epoch": 0.4705, + "grad_norm": 0.7400351762771606, + "learning_rate": 0.00010600600600600601, + "loss": 2.6962, + "step": 4705 + }, + { + "epoch": 0.471, + "grad_norm": 0.7460540533065796, + "learning_rate": 0.0001059059059059059, + "loss": 2.6435, + "step": 4710 + }, + { + "epoch": 0.4715, + "grad_norm": 0.8136820793151855, + "learning_rate": 0.00010580580580580581, + "loss": 2.6901, + "step": 4715 + }, + { + "epoch": 0.472, + "grad_norm": 0.767340362071991, + "learning_rate": 0.00010570570570570571, + "loss": 2.6748, + "step": 4720 + }, + { + "epoch": 0.4725, + "grad_norm": 0.7789919376373291, + "learning_rate": 0.00010560560560560562, + "loss": 2.6534, + "step": 4725 + }, + { + "epoch": 0.473, + "grad_norm": 0.8018049597740173, + "learning_rate": 0.00010550550550550551, + "loss": 2.652, + "step": 4730 + }, + { + "epoch": 0.4735, + "grad_norm": 0.753203809261322, + "learning_rate": 0.0001054054054054054, + "loss": 2.6453, + "step": 4735 + }, + { + "epoch": 0.474, + "grad_norm": 0.758394718170166, + "learning_rate": 0.00010530530530530531, + "loss": 2.6405, + "step": 4740 + }, + { + "epoch": 0.4745, + "grad_norm": 0.7693637609481812, + "learning_rate": 0.0001052052052052052, + "loss": 2.5966, + "step": 4745 + }, + { + "epoch": 0.475, + "grad_norm": 0.7242591381072998, + "learning_rate": 0.00010510510510510511, + "loss": 2.6375, + "step": 4750 + }, + { + "epoch": 0.4755, + "grad_norm": 0.8229799270629883, + "learning_rate": 0.00010500500500500501, + "loss": 2.6175, + "step": 4755 + }, + { + "epoch": 0.476, + "grad_norm": 0.7987326383590698, + "learning_rate": 0.0001049049049049049, + "loss": 2.6413, + "step": 4760 + }, + { + "epoch": 0.4765, + "grad_norm": 0.7526589632034302, + "learning_rate": 0.00010480480480480481, + "loss": 2.6501, + "step": 4765 + }, + { + "epoch": 0.477, + "grad_norm": 0.7456768155097961, + "learning_rate": 0.0001047047047047047, + "loss": 2.5909, + "step": 4770 + }, + { + "epoch": 0.4775, + "grad_norm": 0.8570939302444458, + "learning_rate": 0.00010460460460460461, + "loss": 2.6188, + "step": 4775 + }, + { + "epoch": 0.478, + "grad_norm": 0.8006309866905212, + "learning_rate": 0.00010450450450450451, + "loss": 2.6194, + "step": 4780 + }, + { + "epoch": 0.4785, + "grad_norm": 0.8089258074760437, + "learning_rate": 0.0001044044044044044, + "loss": 2.6106, + "step": 4785 + }, + { + "epoch": 0.479, + "grad_norm": 0.7953463196754456, + "learning_rate": 0.00010430430430430431, + "loss": 2.5841, + "step": 4790 + }, + { + "epoch": 0.4795, + "grad_norm": 0.8188151121139526, + "learning_rate": 0.0001042042042042042, + "loss": 2.6067, + "step": 4795 + }, + { + "epoch": 0.48, + "grad_norm": 0.769829511642456, + "learning_rate": 0.00010410410410410411, + "loss": 2.5939, + "step": 4800 + }, + { + "epoch": 0.4805, + "grad_norm": 0.7330535650253296, + "learning_rate": 0.00010400400400400401, + "loss": 2.5979, + "step": 4805 + }, + { + "epoch": 0.481, + "grad_norm": 0.817407488822937, + "learning_rate": 0.0001039039039039039, + "loss": 2.6022, + "step": 4810 + }, + { + "epoch": 0.4815, + "grad_norm": 0.7732321619987488, + "learning_rate": 0.00010380380380380381, + "loss": 2.5937, + "step": 4815 + }, + { + "epoch": 0.482, + "grad_norm": 0.800410270690918, + "learning_rate": 0.0001037037037037037, + "loss": 2.5957, + "step": 4820 + }, + { + "epoch": 0.4825, + "grad_norm": 0.7640219926834106, + "learning_rate": 0.00010360360360360361, + "loss": 2.5787, + "step": 4825 + }, + { + "epoch": 0.483, + "grad_norm": 0.7671935558319092, + "learning_rate": 0.00010350350350350351, + "loss": 2.5831, + "step": 4830 + }, + { + "epoch": 0.4835, + "grad_norm": 0.8024823069572449, + "learning_rate": 0.0001034034034034034, + "loss": 2.5631, + "step": 4835 + }, + { + "epoch": 0.484, + "grad_norm": 0.770573616027832, + "learning_rate": 0.00010330330330330331, + "loss": 2.5876, + "step": 4840 + }, + { + "epoch": 0.4845, + "grad_norm": 0.7440877556800842, + "learning_rate": 0.0001032032032032032, + "loss": 2.5764, + "step": 4845 + }, + { + "epoch": 0.485, + "grad_norm": 0.758750319480896, + "learning_rate": 0.00010310310310310311, + "loss": 2.5851, + "step": 4850 + }, + { + "epoch": 0.4855, + "grad_norm": 0.7744156122207642, + "learning_rate": 0.000103003003003003, + "loss": 2.5564, + "step": 4855 + }, + { + "epoch": 0.486, + "grad_norm": 0.7538742423057556, + "learning_rate": 0.0001029029029029029, + "loss": 2.5862, + "step": 4860 + }, + { + "epoch": 0.4865, + "grad_norm": 0.7862333059310913, + "learning_rate": 0.00010280280280280281, + "loss": 2.5591, + "step": 4865 + }, + { + "epoch": 0.487, + "grad_norm": 0.7841285467147827, + "learning_rate": 0.0001027027027027027, + "loss": 2.5757, + "step": 4870 + }, + { + "epoch": 0.4875, + "grad_norm": 0.8739153146743774, + "learning_rate": 0.00010260260260260261, + "loss": 2.5542, + "step": 4875 + }, + { + "epoch": 0.488, + "grad_norm": 0.744562029838562, + "learning_rate": 0.0001025025025025025, + "loss": 2.5323, + "step": 4880 + }, + { + "epoch": 0.4885, + "grad_norm": 0.7456634044647217, + "learning_rate": 0.0001024024024024024, + "loss": 2.5738, + "step": 4885 + }, + { + "epoch": 0.489, + "grad_norm": 0.835354208946228, + "learning_rate": 0.00010230230230230232, + "loss": 2.5632, + "step": 4890 + }, + { + "epoch": 0.4895, + "grad_norm": 0.8080532550811768, + "learning_rate": 0.0001022022022022022, + "loss": 2.5492, + "step": 4895 + }, + { + "epoch": 0.49, + "grad_norm": 0.7578943967819214, + "learning_rate": 0.00010210210210210212, + "loss": 2.5519, + "step": 4900 + }, + { + "epoch": 0.4905, + "grad_norm": 0.7827736735343933, + "learning_rate": 0.000102002002002002, + "loss": 2.5651, + "step": 4905 + }, + { + "epoch": 0.491, + "grad_norm": 0.7860758304595947, + "learning_rate": 0.0001019019019019019, + "loss": 2.587, + "step": 4910 + }, + { + "epoch": 0.4915, + "grad_norm": 0.7887434959411621, + "learning_rate": 0.00010180180180180182, + "loss": 2.5429, + "step": 4915 + }, + { + "epoch": 0.492, + "grad_norm": 0.7806670665740967, + "learning_rate": 0.0001017017017017017, + "loss": 2.5506, + "step": 4920 + }, + { + "epoch": 0.4925, + "grad_norm": 0.7844783663749695, + "learning_rate": 0.00010160160160160162, + "loss": 2.5566, + "step": 4925 + }, + { + "epoch": 0.493, + "grad_norm": 0.7470987439155579, + "learning_rate": 0.0001015015015015015, + "loss": 2.5615, + "step": 4930 + }, + { + "epoch": 0.4935, + "grad_norm": 0.7789111137390137, + "learning_rate": 0.0001014014014014014, + "loss": 2.5579, + "step": 4935 + }, + { + "epoch": 0.494, + "grad_norm": 0.7943547368049622, + "learning_rate": 0.00010130130130130132, + "loss": 2.5328, + "step": 4940 + }, + { + "epoch": 0.4945, + "grad_norm": 0.7838632464408875, + "learning_rate": 0.0001012012012012012, + "loss": 2.5306, + "step": 4945 + }, + { + "epoch": 0.495, + "grad_norm": 0.7697449922561646, + "learning_rate": 0.00010110110110110112, + "loss": 2.5541, + "step": 4950 + }, + { + "epoch": 0.4955, + "grad_norm": 0.7821655869483948, + "learning_rate": 0.000101001001001001, + "loss": 2.5184, + "step": 4955 + }, + { + "epoch": 0.496, + "grad_norm": 0.7613987326622009, + "learning_rate": 0.00010090090090090089, + "loss": 2.5349, + "step": 4960 + }, + { + "epoch": 0.4965, + "grad_norm": 0.7794037461280823, + "learning_rate": 0.0001008008008008008, + "loss": 2.5391, + "step": 4965 + }, + { + "epoch": 0.497, + "grad_norm": 0.7633383870124817, + "learning_rate": 0.0001007007007007007, + "loss": 2.521, + "step": 4970 + }, + { + "epoch": 0.4975, + "grad_norm": 0.7773224115371704, + "learning_rate": 0.00010060060060060062, + "loss": 2.5439, + "step": 4975 + }, + { + "epoch": 0.498, + "grad_norm": 0.8238345384597778, + "learning_rate": 0.0001005005005005005, + "loss": 2.5084, + "step": 4980 + }, + { + "epoch": 0.4985, + "grad_norm": 0.8315170407295227, + "learning_rate": 0.00010040040040040039, + "loss": 2.5312, + "step": 4985 + }, + { + "epoch": 0.499, + "grad_norm": 0.8703632950782776, + "learning_rate": 0.0001003003003003003, + "loss": 2.5212, + "step": 4990 + }, + { + "epoch": 0.4995, + "grad_norm": 0.8008772134780884, + "learning_rate": 0.0001002002002002002, + "loss": 2.5373, + "step": 4995 + }, + { + "epoch": 0.5, + "grad_norm": 0.7883898019790649, + "learning_rate": 0.00010010010010010012, + "loss": 2.5194, + "step": 5000 + }, + { + "epoch": 0.5005, + "grad_norm": 0.7612689733505249, + "learning_rate": 0.0001, + "loss": 2.5253, + "step": 5005 + }, + { + "epoch": 0.501, + "grad_norm": 0.8001552224159241, + "learning_rate": 9.98998998998999e-05, + "loss": 2.5255, + "step": 5010 + }, + { + "epoch": 0.5015, + "grad_norm": 0.8067675828933716, + "learning_rate": 9.97997997997998e-05, + "loss": 2.5127, + "step": 5015 + }, + { + "epoch": 0.502, + "grad_norm": 0.7785462737083435, + "learning_rate": 9.96996996996997e-05, + "loss": 2.5064, + "step": 5020 + }, + { + "epoch": 0.5025, + "grad_norm": 0.8287351727485657, + "learning_rate": 9.95995995995996e-05, + "loss": 2.5255, + "step": 5025 + }, + { + "epoch": 0.503, + "grad_norm": 0.7444617748260498, + "learning_rate": 9.94994994994995e-05, + "loss": 2.5084, + "step": 5030 + }, + { + "epoch": 0.5035, + "grad_norm": 0.7671459317207336, + "learning_rate": 9.93993993993994e-05, + "loss": 2.5063, + "step": 5035 + }, + { + "epoch": 0.504, + "grad_norm": 0.7833889722824097, + "learning_rate": 9.92992992992993e-05, + "loss": 2.4893, + "step": 5040 + }, + { + "epoch": 0.5045, + "grad_norm": 0.7985659837722778, + "learning_rate": 9.91991991991992e-05, + "loss": 2.5383, + "step": 5045 + }, + { + "epoch": 0.505, + "grad_norm": 0.8089566230773926, + "learning_rate": 9.90990990990991e-05, + "loss": 2.5032, + "step": 5050 + }, + { + "epoch": 0.5055, + "grad_norm": 0.8146255016326904, + "learning_rate": 9.8998998998999e-05, + "loss": 2.4998, + "step": 5055 + }, + { + "epoch": 0.506, + "grad_norm": 0.7463052272796631, + "learning_rate": 9.88988988988989e-05, + "loss": 2.516, + "step": 5060 + }, + { + "epoch": 0.5065, + "grad_norm": 0.8386415243148804, + "learning_rate": 9.87987987987988e-05, + "loss": 2.5193, + "step": 5065 + }, + { + "epoch": 0.507, + "grad_norm": 0.766620934009552, + "learning_rate": 9.869869869869869e-05, + "loss": 2.5227, + "step": 5070 + }, + { + "epoch": 0.5075, + "grad_norm": 0.881860613822937, + "learning_rate": 9.85985985985986e-05, + "loss": 2.5267, + "step": 5075 + }, + { + "epoch": 0.508, + "grad_norm": 0.8524314165115356, + "learning_rate": 9.849849849849851e-05, + "loss": 2.5039, + "step": 5080 + }, + { + "epoch": 0.5085, + "grad_norm": 0.7791292667388916, + "learning_rate": 9.839839839839841e-05, + "loss": 2.5291, + "step": 5085 + }, + { + "epoch": 0.509, + "grad_norm": 0.805531919002533, + "learning_rate": 9.829829829829831e-05, + "loss": 2.5162, + "step": 5090 + }, + { + "epoch": 0.5095, + "grad_norm": 0.8797053694725037, + "learning_rate": 9.81981981981982e-05, + "loss": 2.4864, + "step": 5095 + }, + { + "epoch": 0.51, + "grad_norm": 0.7774877548217773, + "learning_rate": 9.809809809809811e-05, + "loss": 2.5218, + "step": 5100 + }, + { + "epoch": 0.5105, + "grad_norm": 0.743796706199646, + "learning_rate": 9.799799799799801e-05, + "loss": 2.5168, + "step": 5105 + }, + { + "epoch": 0.511, + "grad_norm": 0.8754458427429199, + "learning_rate": 9.789789789789791e-05, + "loss": 2.4804, + "step": 5110 + }, + { + "epoch": 0.5115, + "grad_norm": 0.8188790082931519, + "learning_rate": 9.779779779779781e-05, + "loss": 2.5051, + "step": 5115 + }, + { + "epoch": 0.512, + "grad_norm": 0.8211973309516907, + "learning_rate": 9.76976976976977e-05, + "loss": 2.4978, + "step": 5120 + }, + { + "epoch": 0.5125, + "grad_norm": 0.8346189856529236, + "learning_rate": 9.75975975975976e-05, + "loss": 2.509, + "step": 5125 + }, + { + "epoch": 0.513, + "grad_norm": 0.7698317766189575, + "learning_rate": 9.749749749749751e-05, + "loss": 2.5271, + "step": 5130 + }, + { + "epoch": 0.5135, + "grad_norm": 0.7541659474372864, + "learning_rate": 9.739739739739741e-05, + "loss": 2.5088, + "step": 5135 + }, + { + "epoch": 0.514, + "grad_norm": 0.772386372089386, + "learning_rate": 9.729729729729731e-05, + "loss": 2.4997, + "step": 5140 + }, + { + "epoch": 0.5145, + "grad_norm": 0.7649770379066467, + "learning_rate": 9.71971971971972e-05, + "loss": 2.5038, + "step": 5145 + }, + { + "epoch": 0.515, + "grad_norm": 0.7980897426605225, + "learning_rate": 9.70970970970971e-05, + "loss": 2.4947, + "step": 5150 + }, + { + "epoch": 0.5155, + "grad_norm": 0.7903638482093811, + "learning_rate": 9.699699699699701e-05, + "loss": 2.5041, + "step": 5155 + }, + { + "epoch": 0.516, + "grad_norm": 0.7857434153556824, + "learning_rate": 9.689689689689691e-05, + "loss": 2.4701, + "step": 5160 + }, + { + "epoch": 0.5165, + "grad_norm": 0.7594984173774719, + "learning_rate": 9.67967967967968e-05, + "loss": 2.482, + "step": 5165 + }, + { + "epoch": 0.517, + "grad_norm": 0.7621155977249146, + "learning_rate": 9.66966966966967e-05, + "loss": 2.4901, + "step": 5170 + }, + { + "epoch": 0.5175, + "grad_norm": 0.7377651333808899, + "learning_rate": 9.65965965965966e-05, + "loss": 2.4988, + "step": 5175 + }, + { + "epoch": 0.518, + "grad_norm": 0.7642138004302979, + "learning_rate": 9.64964964964965e-05, + "loss": 2.4907, + "step": 5180 + }, + { + "epoch": 0.5185, + "grad_norm": 0.7919954657554626, + "learning_rate": 9.639639639639641e-05, + "loss": 2.4889, + "step": 5185 + }, + { + "epoch": 0.519, + "grad_norm": 0.7576303482055664, + "learning_rate": 9.62962962962963e-05, + "loss": 2.4957, + "step": 5190 + }, + { + "epoch": 0.5195, + "grad_norm": 0.7910977602005005, + "learning_rate": 9.61961961961962e-05, + "loss": 2.514, + "step": 5195 + }, + { + "epoch": 0.52, + "grad_norm": 0.7882610559463501, + "learning_rate": 9.60960960960961e-05, + "loss": 2.5047, + "step": 5200 + }, + { + "epoch": 0.5205, + "grad_norm": 0.7650166749954224, + "learning_rate": 9.5995995995996e-05, + "loss": 2.5049, + "step": 5205 + }, + { + "epoch": 0.521, + "grad_norm": 0.7797821760177612, + "learning_rate": 9.589589589589591e-05, + "loss": 2.4762, + "step": 5210 + }, + { + "epoch": 0.5215, + "grad_norm": 0.8017827272415161, + "learning_rate": 9.57957957957958e-05, + "loss": 2.4738, + "step": 5215 + }, + { + "epoch": 0.522, + "grad_norm": 0.8328955769538879, + "learning_rate": 9.56956956956957e-05, + "loss": 2.4818, + "step": 5220 + }, + { + "epoch": 0.5225, + "grad_norm": 0.7545986771583557, + "learning_rate": 9.55955955955956e-05, + "loss": 2.4761, + "step": 5225 + }, + { + "epoch": 0.523, + "grad_norm": 0.7941020131111145, + "learning_rate": 9.54954954954955e-05, + "loss": 2.4854, + "step": 5230 + }, + { + "epoch": 0.5235, + "grad_norm": 0.7584949135780334, + "learning_rate": 9.53953953953954e-05, + "loss": 2.5069, + "step": 5235 + }, + { + "epoch": 0.524, + "grad_norm": 0.7539657950401306, + "learning_rate": 9.52952952952953e-05, + "loss": 2.4839, + "step": 5240 + }, + { + "epoch": 0.5245, + "grad_norm": 0.7383254766464233, + "learning_rate": 9.51951951951952e-05, + "loss": 2.4814, + "step": 5245 + }, + { + "epoch": 0.525, + "grad_norm": 0.7786048650741577, + "learning_rate": 9.50950950950951e-05, + "loss": 2.4866, + "step": 5250 + }, + { + "epoch": 0.5255, + "grad_norm": 0.8005134463310242, + "learning_rate": 9.4994994994995e-05, + "loss": 2.5035, + "step": 5255 + }, + { + "epoch": 0.526, + "grad_norm": 0.8875206112861633, + "learning_rate": 9.48948948948949e-05, + "loss": 2.5053, + "step": 5260 + }, + { + "epoch": 0.5265, + "grad_norm": 0.8146237134933472, + "learning_rate": 9.47947947947948e-05, + "loss": 2.4957, + "step": 5265 + }, + { + "epoch": 0.527, + "grad_norm": 0.7780102491378784, + "learning_rate": 9.46946946946947e-05, + "loss": 2.4801, + "step": 5270 + }, + { + "epoch": 0.5275, + "grad_norm": 0.7808942794799805, + "learning_rate": 9.45945945945946e-05, + "loss": 2.4874, + "step": 5275 + }, + { + "epoch": 0.528, + "grad_norm": 0.7710458636283875, + "learning_rate": 9.44944944944945e-05, + "loss": 2.4638, + "step": 5280 + }, + { + "epoch": 0.5285, + "grad_norm": 0.8187270760536194, + "learning_rate": 9.43943943943944e-05, + "loss": 2.4815, + "step": 5285 + }, + { + "epoch": 0.529, + "grad_norm": 0.8260098695755005, + "learning_rate": 9.42942942942943e-05, + "loss": 2.4785, + "step": 5290 + }, + { + "epoch": 0.5295, + "grad_norm": 0.7852158546447754, + "learning_rate": 9.41941941941942e-05, + "loss": 2.4868, + "step": 5295 + }, + { + "epoch": 0.53, + "grad_norm": 0.7950302362442017, + "learning_rate": 9.40940940940941e-05, + "loss": 2.4811, + "step": 5300 + }, + { + "epoch": 0.5305, + "grad_norm": 0.7699114084243774, + "learning_rate": 9.3993993993994e-05, + "loss": 2.4562, + "step": 5305 + }, + { + "epoch": 0.531, + "grad_norm": 0.757371723651886, + "learning_rate": 9.38938938938939e-05, + "loss": 2.4517, + "step": 5310 + }, + { + "epoch": 0.5315, + "grad_norm": 0.8255384564399719, + "learning_rate": 9.37937937937938e-05, + "loss": 2.4831, + "step": 5315 + }, + { + "epoch": 0.532, + "grad_norm": 0.7833475470542908, + "learning_rate": 9.36936936936937e-05, + "loss": 2.4769, + "step": 5320 + }, + { + "epoch": 0.5325, + "grad_norm": 0.7572566866874695, + "learning_rate": 9.35935935935936e-05, + "loss": 2.4686, + "step": 5325 + }, + { + "epoch": 0.533, + "grad_norm": 0.8141648173332214, + "learning_rate": 9.34934934934935e-05, + "loss": 2.5026, + "step": 5330 + }, + { + "epoch": 0.5335, + "grad_norm": 0.7930201888084412, + "learning_rate": 9.33933933933934e-05, + "loss": 2.4667, + "step": 5335 + }, + { + "epoch": 0.534, + "grad_norm": 0.7503666877746582, + "learning_rate": 9.329329329329329e-05, + "loss": 2.4418, + "step": 5340 + }, + { + "epoch": 0.5345, + "grad_norm": 0.7474675178527832, + "learning_rate": 9.31931931931932e-05, + "loss": 2.4644, + "step": 5345 + }, + { + "epoch": 0.535, + "grad_norm": 0.7890115976333618, + "learning_rate": 9.30930930930931e-05, + "loss": 2.4742, + "step": 5350 + }, + { + "epoch": 0.5355, + "grad_norm": 0.7615987658500671, + "learning_rate": 9.2992992992993e-05, + "loss": 2.4894, + "step": 5355 + }, + { + "epoch": 0.536, + "grad_norm": 0.810775876045227, + "learning_rate": 9.28928928928929e-05, + "loss": 2.4453, + "step": 5360 + }, + { + "epoch": 0.5365, + "grad_norm": 0.7598344087600708, + "learning_rate": 9.279279279279279e-05, + "loss": 2.4611, + "step": 5365 + }, + { + "epoch": 0.537, + "grad_norm": 0.7713881134986877, + "learning_rate": 9.26926926926927e-05, + "loss": 2.4825, + "step": 5370 + }, + { + "epoch": 0.5375, + "grad_norm": 0.8551222681999207, + "learning_rate": 9.25925925925926e-05, + "loss": 2.4547, + "step": 5375 + }, + { + "epoch": 0.538, + "grad_norm": 0.8191784620285034, + "learning_rate": 9.24924924924925e-05, + "loss": 2.4596, + "step": 5380 + }, + { + "epoch": 0.5385, + "grad_norm": 0.7814502716064453, + "learning_rate": 9.23923923923924e-05, + "loss": 2.4548, + "step": 5385 + }, + { + "epoch": 0.539, + "grad_norm": 0.7861321568489075, + "learning_rate": 9.229229229229229e-05, + "loss": 2.4771, + "step": 5390 + }, + { + "epoch": 0.5395, + "grad_norm": 0.7862023115158081, + "learning_rate": 9.219219219219219e-05, + "loss": 2.4826, + "step": 5395 + }, + { + "epoch": 0.54, + "grad_norm": 0.7637827396392822, + "learning_rate": 9.20920920920921e-05, + "loss": 2.4617, + "step": 5400 + }, + { + "epoch": 0.5405, + "grad_norm": 0.7903456687927246, + "learning_rate": 9.1991991991992e-05, + "loss": 2.4544, + "step": 5405 + }, + { + "epoch": 0.541, + "grad_norm": 0.7984066605567932, + "learning_rate": 9.18918918918919e-05, + "loss": 2.4591, + "step": 5410 + }, + { + "epoch": 0.5415, + "grad_norm": 0.8397104144096375, + "learning_rate": 9.179179179179179e-05, + "loss": 2.4563, + "step": 5415 + }, + { + "epoch": 0.542, + "grad_norm": 0.7787863612174988, + "learning_rate": 9.169169169169169e-05, + "loss": 2.4732, + "step": 5420 + }, + { + "epoch": 0.5425, + "grad_norm": 0.7683889269828796, + "learning_rate": 9.15915915915916e-05, + "loss": 2.4769, + "step": 5425 + }, + { + "epoch": 0.543, + "grad_norm": 0.7939984202384949, + "learning_rate": 9.14914914914915e-05, + "loss": 2.461, + "step": 5430 + }, + { + "epoch": 0.5435, + "grad_norm": 0.7943704724311829, + "learning_rate": 9.13913913913914e-05, + "loss": 2.4749, + "step": 5435 + }, + { + "epoch": 0.544, + "grad_norm": 0.7761884927749634, + "learning_rate": 9.129129129129129e-05, + "loss": 2.4591, + "step": 5440 + }, + { + "epoch": 0.5445, + "grad_norm": 0.7611567974090576, + "learning_rate": 9.119119119119119e-05, + "loss": 2.4588, + "step": 5445 + }, + { + "epoch": 0.545, + "grad_norm": 0.7688775658607483, + "learning_rate": 9.109109109109109e-05, + "loss": 2.4652, + "step": 5450 + }, + { + "epoch": 0.5455, + "grad_norm": 0.7897481322288513, + "learning_rate": 9.0990990990991e-05, + "loss": 2.4495, + "step": 5455 + }, + { + "epoch": 0.546, + "grad_norm": 0.7705250978469849, + "learning_rate": 9.08908908908909e-05, + "loss": 2.4522, + "step": 5460 + }, + { + "epoch": 0.5465, + "grad_norm": 0.825740396976471, + "learning_rate": 9.079079079079079e-05, + "loss": 2.4468, + "step": 5465 + }, + { + "epoch": 0.547, + "grad_norm": 0.7923555970191956, + "learning_rate": 9.069069069069069e-05, + "loss": 2.4565, + "step": 5470 + }, + { + "epoch": 0.5475, + "grad_norm": 0.7937232255935669, + "learning_rate": 9.059059059059059e-05, + "loss": 2.4544, + "step": 5475 + }, + { + "epoch": 0.548, + "grad_norm": 0.8358876705169678, + "learning_rate": 9.04904904904905e-05, + "loss": 2.4445, + "step": 5480 + }, + { + "epoch": 0.5485, + "grad_norm": 0.9014988541603088, + "learning_rate": 9.039039039039039e-05, + "loss": 2.4469, + "step": 5485 + }, + { + "epoch": 0.549, + "grad_norm": 0.7850622534751892, + "learning_rate": 9.029029029029029e-05, + "loss": 2.4463, + "step": 5490 + }, + { + "epoch": 0.5495, + "grad_norm": 0.8793150782585144, + "learning_rate": 9.019019019019019e-05, + "loss": 2.4799, + "step": 5495 + }, + { + "epoch": 0.55, + "grad_norm": 0.8214443325996399, + "learning_rate": 9.009009009009009e-05, + "loss": 2.4545, + "step": 5500 + }, + { + "epoch": 0.5505, + "grad_norm": 0.7656763195991516, + "learning_rate": 8.998998998998999e-05, + "loss": 2.4495, + "step": 5505 + }, + { + "epoch": 0.551, + "grad_norm": 0.7774412631988525, + "learning_rate": 8.988988988988989e-05, + "loss": 2.461, + "step": 5510 + }, + { + "epoch": 0.5515, + "grad_norm": 0.7601509690284729, + "learning_rate": 8.978978978978979e-05, + "loss": 2.4365, + "step": 5515 + }, + { + "epoch": 0.552, + "grad_norm": 0.7853091359138489, + "learning_rate": 8.968968968968969e-05, + "loss": 2.4625, + "step": 5520 + }, + { + "epoch": 0.5525, + "grad_norm": 0.7637262344360352, + "learning_rate": 8.958958958958959e-05, + "loss": 2.4445, + "step": 5525 + }, + { + "epoch": 0.553, + "grad_norm": 0.8261085152626038, + "learning_rate": 8.948948948948949e-05, + "loss": 2.4689, + "step": 5530 + }, + { + "epoch": 0.5535, + "grad_norm": 0.7731636762619019, + "learning_rate": 8.938938938938939e-05, + "loss": 2.4598, + "step": 5535 + }, + { + "epoch": 0.554, + "grad_norm": 0.7947583794593811, + "learning_rate": 8.928928928928929e-05, + "loss": 2.473, + "step": 5540 + }, + { + "epoch": 0.5545, + "grad_norm": 0.7763395309448242, + "learning_rate": 8.918918918918919e-05, + "loss": 2.4491, + "step": 5545 + }, + { + "epoch": 0.555, + "grad_norm": 0.8187987804412842, + "learning_rate": 8.908908908908909e-05, + "loss": 2.4502, + "step": 5550 + }, + { + "epoch": 0.5555, + "grad_norm": 0.8020109534263611, + "learning_rate": 8.898898898898899e-05, + "loss": 2.4639, + "step": 5555 + }, + { + "epoch": 0.556, + "grad_norm": 0.7664561867713928, + "learning_rate": 8.888888888888889e-05, + "loss": 2.4249, + "step": 5560 + }, + { + "epoch": 0.5565, + "grad_norm": 0.7538728713989258, + "learning_rate": 8.87887887887888e-05, + "loss": 2.4439, + "step": 5565 + }, + { + "epoch": 0.557, + "grad_norm": 0.810167670249939, + "learning_rate": 8.86886886886887e-05, + "loss": 2.4489, + "step": 5570 + }, + { + "epoch": 0.5575, + "grad_norm": 0.8242455720901489, + "learning_rate": 8.85885885885886e-05, + "loss": 2.4415, + "step": 5575 + }, + { + "epoch": 0.558, + "grad_norm": 0.7702010869979858, + "learning_rate": 8.84884884884885e-05, + "loss": 2.4674, + "step": 5580 + }, + { + "epoch": 0.5585, + "grad_norm": 0.7628993391990662, + "learning_rate": 8.83883883883884e-05, + "loss": 2.4254, + "step": 5585 + }, + { + "epoch": 0.559, + "grad_norm": 0.7824822664260864, + "learning_rate": 8.82882882882883e-05, + "loss": 2.4404, + "step": 5590 + }, + { + "epoch": 0.5595, + "grad_norm": 0.8106468915939331, + "learning_rate": 8.81881881881882e-05, + "loss": 2.4572, + "step": 5595 + }, + { + "epoch": 0.56, + "grad_norm": 0.7582213282585144, + "learning_rate": 8.80880880880881e-05, + "loss": 2.4542, + "step": 5600 + }, + { + "epoch": 0.5605, + "grad_norm": 0.7767332196235657, + "learning_rate": 8.7987987987988e-05, + "loss": 2.4386, + "step": 5605 + }, + { + "epoch": 0.561, + "grad_norm": 0.7707039713859558, + "learning_rate": 8.788788788788788e-05, + "loss": 2.4308, + "step": 5610 + }, + { + "epoch": 0.5615, + "grad_norm": 0.7898010611534119, + "learning_rate": 8.77877877877878e-05, + "loss": 2.4344, + "step": 5615 + }, + { + "epoch": 0.562, + "grad_norm": 0.8068522810935974, + "learning_rate": 8.76876876876877e-05, + "loss": 2.4329, + "step": 5620 + }, + { + "epoch": 0.5625, + "grad_norm": 0.8125194907188416, + "learning_rate": 8.75875875875876e-05, + "loss": 2.4276, + "step": 5625 + }, + { + "epoch": 0.563, + "grad_norm": 0.7750654816627502, + "learning_rate": 8.74874874874875e-05, + "loss": 2.4474, + "step": 5630 + }, + { + "epoch": 0.5635, + "grad_norm": 0.8232579827308655, + "learning_rate": 8.738738738738738e-05, + "loss": 2.4018, + "step": 5635 + }, + { + "epoch": 0.564, + "grad_norm": 0.7836376428604126, + "learning_rate": 8.72872872872873e-05, + "loss": 2.4534, + "step": 5640 + }, + { + "epoch": 0.5645, + "grad_norm": 0.7965866327285767, + "learning_rate": 8.71871871871872e-05, + "loss": 2.4079, + "step": 5645 + }, + { + "epoch": 0.565, + "grad_norm": 0.8080419898033142, + "learning_rate": 8.70870870870871e-05, + "loss": 2.4123, + "step": 5650 + }, + { + "epoch": 0.5655, + "grad_norm": 0.7705451250076294, + "learning_rate": 8.6986986986987e-05, + "loss": 2.4468, + "step": 5655 + }, + { + "epoch": 0.566, + "grad_norm": 0.8220493793487549, + "learning_rate": 8.688688688688688e-05, + "loss": 2.4524, + "step": 5660 + }, + { + "epoch": 0.5665, + "grad_norm": 0.7655929923057556, + "learning_rate": 8.678678678678678e-05, + "loss": 2.4532, + "step": 5665 + }, + { + "epoch": 0.567, + "grad_norm": 0.7849308848381042, + "learning_rate": 8.66866866866867e-05, + "loss": 2.4517, + "step": 5670 + }, + { + "epoch": 0.5675, + "grad_norm": 0.8112594485282898, + "learning_rate": 8.65865865865866e-05, + "loss": 2.4335, + "step": 5675 + }, + { + "epoch": 0.568, + "grad_norm": 0.7860171794891357, + "learning_rate": 8.64864864864865e-05, + "loss": 2.4271, + "step": 5680 + }, + { + "epoch": 0.5685, + "grad_norm": 0.7731909155845642, + "learning_rate": 8.638638638638638e-05, + "loss": 2.4513, + "step": 5685 + }, + { + "epoch": 0.569, + "grad_norm": 0.8540036082267761, + "learning_rate": 8.628628628628628e-05, + "loss": 2.4464, + "step": 5690 + }, + { + "epoch": 0.5695, + "grad_norm": 0.7871401309967041, + "learning_rate": 8.61861861861862e-05, + "loss": 2.4451, + "step": 5695 + }, + { + "epoch": 0.57, + "grad_norm": 0.7708069086074829, + "learning_rate": 8.60860860860861e-05, + "loss": 2.4273, + "step": 5700 + }, + { + "epoch": 0.5705, + "grad_norm": 0.7826456427574158, + "learning_rate": 8.5985985985986e-05, + "loss": 2.4468, + "step": 5705 + }, + { + "epoch": 0.571, + "grad_norm": 0.7948140501976013, + "learning_rate": 8.588588588588588e-05, + "loss": 2.4527, + "step": 5710 + }, + { + "epoch": 0.5715, + "grad_norm": 0.7906607985496521, + "learning_rate": 8.578578578578578e-05, + "loss": 2.4312, + "step": 5715 + }, + { + "epoch": 0.572, + "grad_norm": 0.7874037027359009, + "learning_rate": 8.568568568568568e-05, + "loss": 2.4424, + "step": 5720 + }, + { + "epoch": 0.5725, + "grad_norm": 0.8326743245124817, + "learning_rate": 8.55855855855856e-05, + "loss": 2.4364, + "step": 5725 + }, + { + "epoch": 0.573, + "grad_norm": 0.7984150052070618, + "learning_rate": 8.54854854854855e-05, + "loss": 2.4359, + "step": 5730 + }, + { + "epoch": 0.5735, + "grad_norm": 0.8510274291038513, + "learning_rate": 8.538538538538538e-05, + "loss": 2.4469, + "step": 5735 + }, + { + "epoch": 0.574, + "grad_norm": 0.8147960305213928, + "learning_rate": 8.528528528528528e-05, + "loss": 2.43, + "step": 5740 + }, + { + "epoch": 0.5745, + "grad_norm": 0.8313918709754944, + "learning_rate": 8.518518518518518e-05, + "loss": 2.4197, + "step": 5745 + }, + { + "epoch": 0.575, + "grad_norm": 0.778278648853302, + "learning_rate": 8.50850850850851e-05, + "loss": 2.4241, + "step": 5750 + }, + { + "epoch": 0.5755, + "grad_norm": 0.8418667316436768, + "learning_rate": 8.4984984984985e-05, + "loss": 2.44, + "step": 5755 + }, + { + "epoch": 0.576, + "grad_norm": 0.7860630750656128, + "learning_rate": 8.488488488488489e-05, + "loss": 2.4175, + "step": 5760 + }, + { + "epoch": 0.5765, + "grad_norm": 0.781186044216156, + "learning_rate": 8.478478478478479e-05, + "loss": 2.4332, + "step": 5765 + }, + { + "epoch": 0.577, + "grad_norm": 0.8223111629486084, + "learning_rate": 8.468468468468469e-05, + "loss": 2.4359, + "step": 5770 + }, + { + "epoch": 0.5775, + "grad_norm": 0.7901541590690613, + "learning_rate": 8.458458458458459e-05, + "loss": 2.4187, + "step": 5775 + }, + { + "epoch": 0.578, + "grad_norm": 0.8545305728912354, + "learning_rate": 8.44844844844845e-05, + "loss": 2.4166, + "step": 5780 + }, + { + "epoch": 0.5785, + "grad_norm": 0.8031194806098938, + "learning_rate": 8.438438438438439e-05, + "loss": 2.4197, + "step": 5785 + }, + { + "epoch": 0.579, + "grad_norm": 0.7738260626792908, + "learning_rate": 8.428428428428429e-05, + "loss": 2.4568, + "step": 5790 + }, + { + "epoch": 0.5795, + "grad_norm": 0.8410106897354126, + "learning_rate": 8.418418418418419e-05, + "loss": 2.4529, + "step": 5795 + }, + { + "epoch": 0.58, + "grad_norm": 0.7939754724502563, + "learning_rate": 8.408408408408409e-05, + "loss": 2.4223, + "step": 5800 + }, + { + "epoch": 0.5805, + "grad_norm": 0.7813926935195923, + "learning_rate": 8.398398398398399e-05, + "loss": 2.406, + "step": 5805 + }, + { + "epoch": 0.581, + "grad_norm": 0.8259416818618774, + "learning_rate": 8.388388388388389e-05, + "loss": 2.4459, + "step": 5810 + }, + { + "epoch": 0.5815, + "grad_norm": 0.7753074169158936, + "learning_rate": 8.378378378378379e-05, + "loss": 2.4232, + "step": 5815 + }, + { + "epoch": 0.582, + "grad_norm": 0.7894231677055359, + "learning_rate": 8.368368368368369e-05, + "loss": 2.4229, + "step": 5820 + }, + { + "epoch": 0.5825, + "grad_norm": 0.840605616569519, + "learning_rate": 8.358358358358359e-05, + "loss": 2.4376, + "step": 5825 + }, + { + "epoch": 0.583, + "grad_norm": 0.8139504194259644, + "learning_rate": 8.348348348348349e-05, + "loss": 2.4088, + "step": 5830 + }, + { + "epoch": 0.5835, + "grad_norm": 0.7772433757781982, + "learning_rate": 8.338338338338339e-05, + "loss": 2.4242, + "step": 5835 + }, + { + "epoch": 0.584, + "grad_norm": 0.7719807028770447, + "learning_rate": 8.328328328328329e-05, + "loss": 2.4608, + "step": 5840 + }, + { + "epoch": 0.5845, + "grad_norm": 0.7588045597076416, + "learning_rate": 8.318318318318319e-05, + "loss": 2.4191, + "step": 5845 + }, + { + "epoch": 0.585, + "grad_norm": 0.771289587020874, + "learning_rate": 8.308308308308309e-05, + "loss": 2.4441, + "step": 5850 + }, + { + "epoch": 0.5855, + "grad_norm": 0.7876021862030029, + "learning_rate": 8.298298298298299e-05, + "loss": 2.4436, + "step": 5855 + }, + { + "epoch": 0.586, + "grad_norm": 0.7994235754013062, + "learning_rate": 8.288288288288289e-05, + "loss": 2.419, + "step": 5860 + }, + { + "epoch": 0.5865, + "grad_norm": 0.7812893390655518, + "learning_rate": 8.278278278278279e-05, + "loss": 2.4374, + "step": 5865 + }, + { + "epoch": 0.587, + "grad_norm": 0.7883958220481873, + "learning_rate": 8.268268268268269e-05, + "loss": 2.4307, + "step": 5870 + }, + { + "epoch": 0.5875, + "grad_norm": 0.782835066318512, + "learning_rate": 8.258258258258259e-05, + "loss": 2.4087, + "step": 5875 + }, + { + "epoch": 0.588, + "grad_norm": 0.7668812870979309, + "learning_rate": 8.248248248248247e-05, + "loss": 2.4005, + "step": 5880 + }, + { + "epoch": 0.5885, + "grad_norm": 0.7992317080497742, + "learning_rate": 8.238238238238239e-05, + "loss": 2.4111, + "step": 5885 + }, + { + "epoch": 0.589, + "grad_norm": 0.7875285744667053, + "learning_rate": 8.228228228228229e-05, + "loss": 2.425, + "step": 5890 + }, + { + "epoch": 0.5895, + "grad_norm": 0.7984848022460938, + "learning_rate": 8.218218218218219e-05, + "loss": 2.4234, + "step": 5895 + }, + { + "epoch": 0.59, + "grad_norm": 0.810619592666626, + "learning_rate": 8.208208208208209e-05, + "loss": 2.4293, + "step": 5900 + }, + { + "epoch": 0.5905, + "grad_norm": 0.7930707335472107, + "learning_rate": 8.198198198198198e-05, + "loss": 2.4147, + "step": 5905 + }, + { + "epoch": 0.591, + "grad_norm": 0.7991019487380981, + "learning_rate": 8.188188188188189e-05, + "loss": 2.4097, + "step": 5910 + }, + { + "epoch": 0.5915, + "grad_norm": 0.8091179728507996, + "learning_rate": 8.178178178178179e-05, + "loss": 2.4195, + "step": 5915 + }, + { + "epoch": 0.592, + "grad_norm": 0.7663683295249939, + "learning_rate": 8.168168168168169e-05, + "loss": 2.4095, + "step": 5920 + }, + { + "epoch": 0.5925, + "grad_norm": 0.7600463628768921, + "learning_rate": 8.158158158158159e-05, + "loss": 2.4348, + "step": 5925 + }, + { + "epoch": 0.593, + "grad_norm": 0.91126549243927, + "learning_rate": 8.148148148148148e-05, + "loss": 2.4321, + "step": 5930 + }, + { + "epoch": 0.5935, + "grad_norm": 0.8510048985481262, + "learning_rate": 8.138138138138138e-05, + "loss": 2.4069, + "step": 5935 + }, + { + "epoch": 0.594, + "grad_norm": 0.7488054633140564, + "learning_rate": 8.128128128128129e-05, + "loss": 2.4197, + "step": 5940 + }, + { + "epoch": 0.5945, + "grad_norm": 0.8285728096961975, + "learning_rate": 8.118118118118119e-05, + "loss": 2.4277, + "step": 5945 + }, + { + "epoch": 0.595, + "grad_norm": 0.8015768527984619, + "learning_rate": 8.108108108108109e-05, + "loss": 2.4033, + "step": 5950 + }, + { + "epoch": 0.5955, + "grad_norm": 0.8446034789085388, + "learning_rate": 8.098098098098098e-05, + "loss": 2.4207, + "step": 5955 + }, + { + "epoch": 0.596, + "grad_norm": 0.8294364213943481, + "learning_rate": 8.088088088088088e-05, + "loss": 2.4484, + "step": 5960 + }, + { + "epoch": 0.5965, + "grad_norm": 0.7883287668228149, + "learning_rate": 8.078078078078079e-05, + "loss": 2.4104, + "step": 5965 + }, + { + "epoch": 0.597, + "grad_norm": 0.7896589040756226, + "learning_rate": 8.068068068068069e-05, + "loss": 2.425, + "step": 5970 + }, + { + "epoch": 0.5975, + "grad_norm": 0.7847106456756592, + "learning_rate": 8.058058058058059e-05, + "loss": 2.4173, + "step": 5975 + }, + { + "epoch": 0.598, + "grad_norm": 0.8176475763320923, + "learning_rate": 8.048048048048048e-05, + "loss": 2.4333, + "step": 5980 + }, + { + "epoch": 0.5985, + "grad_norm": 0.8108943104743958, + "learning_rate": 8.038038038038038e-05, + "loss": 2.4264, + "step": 5985 + }, + { + "epoch": 0.599, + "grad_norm": 0.8394784331321716, + "learning_rate": 8.028028028028028e-05, + "loss": 2.4001, + "step": 5990 + }, + { + "epoch": 0.5995, + "grad_norm": 0.8406071662902832, + "learning_rate": 8.018018018018019e-05, + "loss": 2.435, + "step": 5995 + }, + { + "epoch": 0.6, + "grad_norm": 0.9026022553443909, + "learning_rate": 8.008008008008009e-05, + "loss": 2.4271, + "step": 6000 + }, + { + "epoch": 0.6005, + "grad_norm": 0.8024097084999084, + "learning_rate": 7.997997997997998e-05, + "loss": 2.4278, + "step": 6005 + }, + { + "epoch": 0.601, + "grad_norm": 0.7905908823013306, + "learning_rate": 7.987987987987988e-05, + "loss": 2.4215, + "step": 6010 + }, + { + "epoch": 0.6015, + "grad_norm": 0.8006245493888855, + "learning_rate": 7.977977977977978e-05, + "loss": 2.4114, + "step": 6015 + }, + { + "epoch": 0.602, + "grad_norm": 0.8655180335044861, + "learning_rate": 7.967967967967969e-05, + "loss": 2.4196, + "step": 6020 + }, + { + "epoch": 0.6025, + "grad_norm": 0.8015463352203369, + "learning_rate": 7.957957957957959e-05, + "loss": 2.4352, + "step": 6025 + }, + { + "epoch": 0.603, + "grad_norm": 0.7995092272758484, + "learning_rate": 7.947947947947948e-05, + "loss": 2.4106, + "step": 6030 + }, + { + "epoch": 0.6035, + "grad_norm": 0.8037542104721069, + "learning_rate": 7.937937937937938e-05, + "loss": 2.4104, + "step": 6035 + }, + { + "epoch": 0.604, + "grad_norm": 0.8060451745986938, + "learning_rate": 7.927927927927928e-05, + "loss": 2.4313, + "step": 6040 + }, + { + "epoch": 0.6045, + "grad_norm": 0.8142174482345581, + "learning_rate": 7.917917917917918e-05, + "loss": 2.4307, + "step": 6045 + }, + { + "epoch": 0.605, + "grad_norm": 0.791358232498169, + "learning_rate": 7.90790790790791e-05, + "loss": 2.4212, + "step": 6050 + }, + { + "epoch": 0.6055, + "grad_norm": 0.8433311581611633, + "learning_rate": 7.897897897897898e-05, + "loss": 2.3925, + "step": 6055 + }, + { + "epoch": 0.606, + "grad_norm": 0.7595745325088501, + "learning_rate": 7.887887887887888e-05, + "loss": 2.3948, + "step": 6060 + }, + { + "epoch": 0.6065, + "grad_norm": 0.7723388075828552, + "learning_rate": 7.877877877877878e-05, + "loss": 2.4276, + "step": 6065 + }, + { + "epoch": 0.607, + "grad_norm": 0.8227433562278748, + "learning_rate": 7.867867867867868e-05, + "loss": 2.4065, + "step": 6070 + }, + { + "epoch": 0.6075, + "grad_norm": 0.8013408184051514, + "learning_rate": 7.85785785785786e-05, + "loss": 2.4273, + "step": 6075 + }, + { + "epoch": 0.608, + "grad_norm": 0.7976078391075134, + "learning_rate": 7.847847847847848e-05, + "loss": 2.4027, + "step": 6080 + }, + { + "epoch": 0.6085, + "grad_norm": 0.7952542901039124, + "learning_rate": 7.837837837837838e-05, + "loss": 2.3998, + "step": 6085 + }, + { + "epoch": 0.609, + "grad_norm": 0.8024086952209473, + "learning_rate": 7.827827827827828e-05, + "loss": 2.4051, + "step": 6090 + }, + { + "epoch": 0.6095, + "grad_norm": 0.9264689683914185, + "learning_rate": 7.817817817817818e-05, + "loss": 2.431, + "step": 6095 + }, + { + "epoch": 0.61, + "grad_norm": 0.7977313995361328, + "learning_rate": 7.807807807807808e-05, + "loss": 2.3998, + "step": 6100 + }, + { + "epoch": 0.6105, + "grad_norm": 0.8100118041038513, + "learning_rate": 7.797797797797798e-05, + "loss": 2.4272, + "step": 6105 + }, + { + "epoch": 0.611, + "grad_norm": 0.7686548829078674, + "learning_rate": 7.787787787787788e-05, + "loss": 2.4215, + "step": 6110 + }, + { + "epoch": 0.6115, + "grad_norm": 0.7883079051971436, + "learning_rate": 7.777777777777778e-05, + "loss": 2.4235, + "step": 6115 + }, + { + "epoch": 0.612, + "grad_norm": 0.7836454510688782, + "learning_rate": 7.767767767767768e-05, + "loss": 2.4161, + "step": 6120 + }, + { + "epoch": 0.6125, + "grad_norm": 0.7758154273033142, + "learning_rate": 7.757757757757758e-05, + "loss": 2.384, + "step": 6125 + }, + { + "epoch": 0.613, + "grad_norm": 0.8135970830917358, + "learning_rate": 7.747747747747748e-05, + "loss": 2.4148, + "step": 6130 + }, + { + "epoch": 0.6135, + "grad_norm": 0.8397132158279419, + "learning_rate": 7.737737737737738e-05, + "loss": 2.3973, + "step": 6135 + }, + { + "epoch": 0.614, + "grad_norm": 0.8081435561180115, + "learning_rate": 7.727727727727728e-05, + "loss": 2.4167, + "step": 6140 + }, + { + "epoch": 0.6145, + "grad_norm": 0.7891101837158203, + "learning_rate": 7.717717717717718e-05, + "loss": 2.3973, + "step": 6145 + }, + { + "epoch": 0.615, + "grad_norm": 0.793466329574585, + "learning_rate": 7.707707707707707e-05, + "loss": 2.4144, + "step": 6150 + }, + { + "epoch": 0.6155, + "grad_norm": 0.8238446712493896, + "learning_rate": 7.697697697697698e-05, + "loss": 2.403, + "step": 6155 + }, + { + "epoch": 0.616, + "grad_norm": 0.7987673282623291, + "learning_rate": 7.687687687687688e-05, + "loss": 2.4049, + "step": 6160 + }, + { + "epoch": 0.6165, + "grad_norm": 0.8488965630531311, + "learning_rate": 7.677677677677678e-05, + "loss": 2.4099, + "step": 6165 + }, + { + "epoch": 0.617, + "grad_norm": 0.7871595025062561, + "learning_rate": 7.667667667667668e-05, + "loss": 2.4306, + "step": 6170 + }, + { + "epoch": 0.6175, + "grad_norm": 0.7598607540130615, + "learning_rate": 7.657657657657657e-05, + "loss": 2.4022, + "step": 6175 + }, + { + "epoch": 0.618, + "grad_norm": 0.8631352186203003, + "learning_rate": 7.647647647647648e-05, + "loss": 2.4056, + "step": 6180 + }, + { + "epoch": 0.6185, + "grad_norm": 0.7995339035987854, + "learning_rate": 7.637637637637638e-05, + "loss": 2.4138, + "step": 6185 + }, + { + "epoch": 0.619, + "grad_norm": 0.7987746000289917, + "learning_rate": 7.627627627627628e-05, + "loss": 2.4078, + "step": 6190 + }, + { + "epoch": 0.6195, + "grad_norm": 0.7808003425598145, + "learning_rate": 7.617617617617618e-05, + "loss": 2.4012, + "step": 6195 + }, + { + "epoch": 0.62, + "grad_norm": 0.8006256222724915, + "learning_rate": 7.607607607607607e-05, + "loss": 2.3998, + "step": 6200 + }, + { + "epoch": 0.6205, + "grad_norm": 0.846108615398407, + "learning_rate": 7.597597597597597e-05, + "loss": 2.4268, + "step": 6205 + }, + { + "epoch": 0.621, + "grad_norm": 0.7796756029129028, + "learning_rate": 7.587587587587588e-05, + "loss": 2.4189, + "step": 6210 + }, + { + "epoch": 0.6215, + "grad_norm": 0.8724086284637451, + "learning_rate": 7.577577577577578e-05, + "loss": 2.4175, + "step": 6215 + }, + { + "epoch": 0.622, + "grad_norm": 0.8391619324684143, + "learning_rate": 7.567567567567568e-05, + "loss": 2.4017, + "step": 6220 + }, + { + "epoch": 0.6225, + "grad_norm": 0.8112910985946655, + "learning_rate": 7.557557557557557e-05, + "loss": 2.4015, + "step": 6225 + }, + { + "epoch": 0.623, + "grad_norm": 0.7913944721221924, + "learning_rate": 7.547547547547547e-05, + "loss": 2.4084, + "step": 6230 + }, + { + "epoch": 0.6235, + "grad_norm": 0.765633225440979, + "learning_rate": 7.537537537537538e-05, + "loss": 2.406, + "step": 6235 + }, + { + "epoch": 0.624, + "grad_norm": 0.8250996470451355, + "learning_rate": 7.527527527527528e-05, + "loss": 2.4235, + "step": 6240 + }, + { + "epoch": 0.6245, + "grad_norm": 0.8208925127983093, + "learning_rate": 7.517517517517519e-05, + "loss": 2.4228, + "step": 6245 + }, + { + "epoch": 0.625, + "grad_norm": 0.7971552014350891, + "learning_rate": 7.507507507507507e-05, + "loss": 2.4004, + "step": 6250 + }, + { + "epoch": 0.6255, + "grad_norm": 0.7985517978668213, + "learning_rate": 7.497497497497497e-05, + "loss": 2.3964, + "step": 6255 + }, + { + "epoch": 0.626, + "grad_norm": 0.8133323788642883, + "learning_rate": 7.487487487487487e-05, + "loss": 2.3983, + "step": 6260 + }, + { + "epoch": 0.6265, + "grad_norm": 0.8303823471069336, + "learning_rate": 7.477477477477479e-05, + "loss": 2.4052, + "step": 6265 + }, + { + "epoch": 0.627, + "grad_norm": 0.7818722724914551, + "learning_rate": 7.467467467467469e-05, + "loss": 2.3879, + "step": 6270 + }, + { + "epoch": 0.6275, + "grad_norm": 0.7834113836288452, + "learning_rate": 7.457457457457457e-05, + "loss": 2.3996, + "step": 6275 + }, + { + "epoch": 0.628, + "grad_norm": 0.857519805431366, + "learning_rate": 7.447447447447447e-05, + "loss": 2.3838, + "step": 6280 + }, + { + "epoch": 0.6285, + "grad_norm": 0.8000242710113525, + "learning_rate": 7.437437437437437e-05, + "loss": 2.4151, + "step": 6285 + }, + { + "epoch": 0.629, + "grad_norm": 0.780372142791748, + "learning_rate": 7.427427427427429e-05, + "loss": 2.3838, + "step": 6290 + }, + { + "epoch": 0.6295, + "grad_norm": 0.8650689721107483, + "learning_rate": 7.417417417417419e-05, + "loss": 2.4185, + "step": 6295 + }, + { + "epoch": 0.63, + "grad_norm": 0.8233420848846436, + "learning_rate": 7.407407407407407e-05, + "loss": 2.4164, + "step": 6300 + }, + { + "epoch": 0.6305, + "grad_norm": 0.7887721061706543, + "learning_rate": 7.397397397397397e-05, + "loss": 2.4061, + "step": 6305 + }, + { + "epoch": 0.631, + "grad_norm": 0.7893443703651428, + "learning_rate": 7.387387387387387e-05, + "loss": 2.4253, + "step": 6310 + }, + { + "epoch": 0.6315, + "grad_norm": 0.7930344939231873, + "learning_rate": 7.377377377377377e-05, + "loss": 2.4065, + "step": 6315 + }, + { + "epoch": 0.632, + "grad_norm": 0.7902653813362122, + "learning_rate": 7.367367367367369e-05, + "loss": 2.4017, + "step": 6320 + }, + { + "epoch": 0.6325, + "grad_norm": 0.7905397415161133, + "learning_rate": 7.357357357357357e-05, + "loss": 2.4077, + "step": 6325 + }, + { + "epoch": 0.633, + "grad_norm": 0.7757744789123535, + "learning_rate": 7.347347347347347e-05, + "loss": 2.3954, + "step": 6330 + }, + { + "epoch": 0.6335, + "grad_norm": 0.7905138731002808, + "learning_rate": 7.337337337337337e-05, + "loss": 2.3949, + "step": 6335 + }, + { + "epoch": 0.634, + "grad_norm": 0.7751962542533875, + "learning_rate": 7.327327327327327e-05, + "loss": 2.4121, + "step": 6340 + }, + { + "epoch": 0.6345, + "grad_norm": 0.7948694825172424, + "learning_rate": 7.317317317317319e-05, + "loss": 2.385, + "step": 6345 + }, + { + "epoch": 0.635, + "grad_norm": 0.8490158915519714, + "learning_rate": 7.307307307307307e-05, + "loss": 2.4051, + "step": 6350 + }, + { + "epoch": 0.6355, + "grad_norm": 0.7961251139640808, + "learning_rate": 7.297297297297297e-05, + "loss": 2.3849, + "step": 6355 + }, + { + "epoch": 0.636, + "grad_norm": 0.8053735494613647, + "learning_rate": 7.287287287287287e-05, + "loss": 2.4177, + "step": 6360 + }, + { + "epoch": 0.6365, + "grad_norm": 0.819907546043396, + "learning_rate": 7.277277277277277e-05, + "loss": 2.406, + "step": 6365 + }, + { + "epoch": 0.637, + "grad_norm": 0.7854018211364746, + "learning_rate": 7.267267267267268e-05, + "loss": 2.386, + "step": 6370 + }, + { + "epoch": 0.6375, + "grad_norm": 0.7699578404426575, + "learning_rate": 7.257257257257258e-05, + "loss": 2.398, + "step": 6375 + }, + { + "epoch": 0.638, + "grad_norm": 0.8161998391151428, + "learning_rate": 7.247247247247248e-05, + "loss": 2.4012, + "step": 6380 + }, + { + "epoch": 0.6385, + "grad_norm": 0.8244718313217163, + "learning_rate": 7.237237237237238e-05, + "loss": 2.3886, + "step": 6385 + }, + { + "epoch": 0.639, + "grad_norm": 0.7753651142120361, + "learning_rate": 7.227227227227228e-05, + "loss": 2.4174, + "step": 6390 + }, + { + "epoch": 0.6395, + "grad_norm": 0.7991912961006165, + "learning_rate": 7.217217217217218e-05, + "loss": 2.3901, + "step": 6395 + }, + { + "epoch": 0.64, + "grad_norm": 0.8403205871582031, + "learning_rate": 7.207207207207208e-05, + "loss": 2.4054, + "step": 6400 + }, + { + "epoch": 0.6405, + "grad_norm": 0.7843438982963562, + "learning_rate": 7.197197197197198e-05, + "loss": 2.3861, + "step": 6405 + }, + { + "epoch": 0.641, + "grad_norm": 0.7796940207481384, + "learning_rate": 7.187187187187188e-05, + "loss": 2.3997, + "step": 6410 + }, + { + "epoch": 0.6415, + "grad_norm": 0.7885047197341919, + "learning_rate": 7.177177177177178e-05, + "loss": 2.3816, + "step": 6415 + }, + { + "epoch": 0.642, + "grad_norm": 0.861638605594635, + "learning_rate": 7.167167167167166e-05, + "loss": 2.3842, + "step": 6420 + }, + { + "epoch": 0.6425, + "grad_norm": 0.7908929586410522, + "learning_rate": 7.157157157157158e-05, + "loss": 2.3871, + "step": 6425 + }, + { + "epoch": 0.643, + "grad_norm": 0.811220645904541, + "learning_rate": 7.147147147147148e-05, + "loss": 2.3836, + "step": 6430 + }, + { + "epoch": 0.6435, + "grad_norm": 0.8271155953407288, + "learning_rate": 7.137137137137138e-05, + "loss": 2.421, + "step": 6435 + }, + { + "epoch": 0.644, + "grad_norm": 0.76975017786026, + "learning_rate": 7.127127127127128e-05, + "loss": 2.4102, + "step": 6440 + }, + { + "epoch": 0.6445, + "grad_norm": 0.8396703004837036, + "learning_rate": 7.117117117117116e-05, + "loss": 2.3815, + "step": 6445 + }, + { + "epoch": 0.645, + "grad_norm": 0.9385436773300171, + "learning_rate": 7.107107107107108e-05, + "loss": 2.4079, + "step": 6450 + }, + { + "epoch": 0.6455, + "grad_norm": 0.7908446192741394, + "learning_rate": 7.097097097097098e-05, + "loss": 2.4033, + "step": 6455 + }, + { + "epoch": 0.646, + "grad_norm": 0.7973217368125916, + "learning_rate": 7.087087087087088e-05, + "loss": 2.3928, + "step": 6460 + }, + { + "epoch": 0.6465, + "grad_norm": 0.789564311504364, + "learning_rate": 7.077077077077078e-05, + "loss": 2.3913, + "step": 6465 + }, + { + "epoch": 0.647, + "grad_norm": 0.822909951210022, + "learning_rate": 7.067067067067066e-05, + "loss": 2.4108, + "step": 6470 + }, + { + "epoch": 0.6475, + "grad_norm": 0.8042473196983337, + "learning_rate": 7.057057057057056e-05, + "loss": 2.3953, + "step": 6475 + }, + { + "epoch": 0.648, + "grad_norm": 0.8470174670219421, + "learning_rate": 7.047047047047048e-05, + "loss": 2.3844, + "step": 6480 + }, + { + "epoch": 0.6485, + "grad_norm": 0.8247309923171997, + "learning_rate": 7.037037037037038e-05, + "loss": 2.4239, + "step": 6485 + }, + { + "epoch": 0.649, + "grad_norm": 0.8267856240272522, + "learning_rate": 7.027027027027028e-05, + "loss": 2.3997, + "step": 6490 + }, + { + "epoch": 0.6495, + "grad_norm": 0.7668282985687256, + "learning_rate": 7.017017017017016e-05, + "loss": 2.4032, + "step": 6495 + }, + { + "epoch": 0.65, + "grad_norm": 0.8035463094711304, + "learning_rate": 7.007007007007007e-05, + "loss": 2.3905, + "step": 6500 + }, + { + "epoch": 0.6505, + "grad_norm": 0.7903201580047607, + "learning_rate": 6.996996996996998e-05, + "loss": 2.3934, + "step": 6505 + }, + { + "epoch": 0.651, + "grad_norm": 0.8082432150840759, + "learning_rate": 6.986986986986988e-05, + "loss": 2.3888, + "step": 6510 + }, + { + "epoch": 0.6515, + "grad_norm": 0.7989760637283325, + "learning_rate": 6.976976976976978e-05, + "loss": 2.4032, + "step": 6515 + }, + { + "epoch": 0.652, + "grad_norm": 0.7746159434318542, + "learning_rate": 6.966966966966967e-05, + "loss": 2.375, + "step": 6520 + }, + { + "epoch": 0.6525, + "grad_norm": 0.7914102673530579, + "learning_rate": 6.956956956956957e-05, + "loss": 2.3899, + "step": 6525 + }, + { + "epoch": 0.653, + "grad_norm": 0.7977505922317505, + "learning_rate": 6.946946946946947e-05, + "loss": 2.3844, + "step": 6530 + }, + { + "epoch": 0.6535, + "grad_norm": 0.7890195846557617, + "learning_rate": 6.936936936936938e-05, + "loss": 2.4019, + "step": 6535 + }, + { + "epoch": 0.654, + "grad_norm": 0.8067911267280579, + "learning_rate": 6.926926926926928e-05, + "loss": 2.3693, + "step": 6540 + }, + { + "epoch": 0.6545, + "grad_norm": 0.8240167498588562, + "learning_rate": 6.916916916916917e-05, + "loss": 2.392, + "step": 6545 + }, + { + "epoch": 0.655, + "grad_norm": 0.8075880408287048, + "learning_rate": 6.906906906906907e-05, + "loss": 2.386, + "step": 6550 + }, + { + "epoch": 0.6555, + "grad_norm": 0.7833337187767029, + "learning_rate": 6.896896896896897e-05, + "loss": 2.4056, + "step": 6555 + }, + { + "epoch": 0.656, + "grad_norm": 0.7844520211219788, + "learning_rate": 6.886886886886888e-05, + "loss": 2.388, + "step": 6560 + }, + { + "epoch": 0.6565, + "grad_norm": 0.8572016954421997, + "learning_rate": 6.876876876876878e-05, + "loss": 2.4083, + "step": 6565 + }, + { + "epoch": 0.657, + "grad_norm": 0.7906028032302856, + "learning_rate": 6.866866866866867e-05, + "loss": 2.3917, + "step": 6570 + }, + { + "epoch": 0.6575, + "grad_norm": 0.802037239074707, + "learning_rate": 6.856856856856857e-05, + "loss": 2.4229, + "step": 6575 + }, + { + "epoch": 0.658, + "grad_norm": 0.8108525276184082, + "learning_rate": 6.846846846846847e-05, + "loss": 2.3852, + "step": 6580 + }, + { + "epoch": 0.6585, + "grad_norm": 0.8359381556510925, + "learning_rate": 6.836836836836837e-05, + "loss": 2.4062, + "step": 6585 + }, + { + "epoch": 0.659, + "grad_norm": 0.8545534014701843, + "learning_rate": 6.826826826826828e-05, + "loss": 2.3873, + "step": 6590 + }, + { + "epoch": 0.6595, + "grad_norm": 0.8026583194732666, + "learning_rate": 6.816816816816817e-05, + "loss": 2.389, + "step": 6595 + }, + { + "epoch": 0.66, + "grad_norm": 0.7658330798149109, + "learning_rate": 6.806806806806807e-05, + "loss": 2.3863, + "step": 6600 + }, + { + "epoch": 0.6605, + "grad_norm": 0.7946294546127319, + "learning_rate": 6.796796796796797e-05, + "loss": 2.3827, + "step": 6605 + }, + { + "epoch": 0.661, + "grad_norm": 0.8445372581481934, + "learning_rate": 6.786786786786787e-05, + "loss": 2.3818, + "step": 6610 + }, + { + "epoch": 0.6615, + "grad_norm": 0.7817666530609131, + "learning_rate": 6.776776776776778e-05, + "loss": 2.3779, + "step": 6615 + }, + { + "epoch": 0.662, + "grad_norm": 0.803107500076294, + "learning_rate": 6.766766766766767e-05, + "loss": 2.3962, + "step": 6620 + }, + { + "epoch": 0.6625, + "grad_norm": 0.8931746482849121, + "learning_rate": 6.756756756756757e-05, + "loss": 2.3628, + "step": 6625 + }, + { + "epoch": 0.663, + "grad_norm": 0.8346350193023682, + "learning_rate": 6.746746746746747e-05, + "loss": 2.3931, + "step": 6630 + }, + { + "epoch": 0.6635, + "grad_norm": 0.7959952354431152, + "learning_rate": 6.736736736736737e-05, + "loss": 2.3881, + "step": 6635 + }, + { + "epoch": 0.664, + "grad_norm": 0.7849836349487305, + "learning_rate": 6.726726726726727e-05, + "loss": 2.366, + "step": 6640 + }, + { + "epoch": 0.6645, + "grad_norm": 0.8243876099586487, + "learning_rate": 6.716716716716717e-05, + "loss": 2.4016, + "step": 6645 + }, + { + "epoch": 0.665, + "grad_norm": 0.7896625399589539, + "learning_rate": 6.706706706706707e-05, + "loss": 2.4097, + "step": 6650 + }, + { + "epoch": 0.6655, + "grad_norm": 0.7979716658592224, + "learning_rate": 6.696696696696697e-05, + "loss": 2.3869, + "step": 6655 + }, + { + "epoch": 0.666, + "grad_norm": 0.8322969079017639, + "learning_rate": 6.686686686686687e-05, + "loss": 2.3922, + "step": 6660 + }, + { + "epoch": 0.6665, + "grad_norm": 0.791321337223053, + "learning_rate": 6.676676676676677e-05, + "loss": 2.3664, + "step": 6665 + }, + { + "epoch": 0.667, + "grad_norm": 0.7899481654167175, + "learning_rate": 6.666666666666667e-05, + "loss": 2.3971, + "step": 6670 + }, + { + "epoch": 0.6675, + "grad_norm": 0.8165993690490723, + "learning_rate": 6.656656656656657e-05, + "loss": 2.3891, + "step": 6675 + }, + { + "epoch": 0.668, + "grad_norm": 0.8781505227088928, + "learning_rate": 6.646646646646647e-05, + "loss": 2.3837, + "step": 6680 + }, + { + "epoch": 0.6685, + "grad_norm": 0.8235121965408325, + "learning_rate": 6.636636636636637e-05, + "loss": 2.3965, + "step": 6685 + }, + { + "epoch": 0.669, + "grad_norm": 0.8322201371192932, + "learning_rate": 6.626626626626627e-05, + "loss": 2.3918, + "step": 6690 + }, + { + "epoch": 0.6695, + "grad_norm": 0.7922030091285706, + "learning_rate": 6.616616616616617e-05, + "loss": 2.3822, + "step": 6695 + }, + { + "epoch": 0.67, + "grad_norm": 0.8057646155357361, + "learning_rate": 6.606606606606607e-05, + "loss": 2.4046, + "step": 6700 + }, + { + "epoch": 0.6705, + "grad_norm": 0.7984603643417358, + "learning_rate": 6.596596596596597e-05, + "loss": 2.3881, + "step": 6705 + }, + { + "epoch": 0.671, + "grad_norm": 0.8076169490814209, + "learning_rate": 6.586586586586587e-05, + "loss": 2.394, + "step": 6710 + }, + { + "epoch": 0.6715, + "grad_norm": 0.8120995163917542, + "learning_rate": 6.576576576576577e-05, + "loss": 2.3725, + "step": 6715 + }, + { + "epoch": 0.672, + "grad_norm": 0.8239960670471191, + "learning_rate": 6.566566566566567e-05, + "loss": 2.3895, + "step": 6720 + }, + { + "epoch": 0.6725, + "grad_norm": 0.8266900777816772, + "learning_rate": 6.556556556556557e-05, + "loss": 2.3901, + "step": 6725 + }, + { + "epoch": 0.673, + "grad_norm": 0.8476052284240723, + "learning_rate": 6.546546546546547e-05, + "loss": 2.3951, + "step": 6730 + }, + { + "epoch": 0.6735, + "grad_norm": 0.8398421406745911, + "learning_rate": 6.536536536536537e-05, + "loss": 2.3687, + "step": 6735 + }, + { + "epoch": 0.674, + "grad_norm": 0.8095033764839172, + "learning_rate": 6.526526526526526e-05, + "loss": 2.3898, + "step": 6740 + }, + { + "epoch": 0.6745, + "grad_norm": 0.8121087551116943, + "learning_rate": 6.516516516516516e-05, + "loss": 2.3846, + "step": 6745 + }, + { + "epoch": 0.675, + "grad_norm": 0.8165614604949951, + "learning_rate": 6.506506506506507e-05, + "loss": 2.3672, + "step": 6750 + }, + { + "epoch": 0.6755, + "grad_norm": 0.7994385361671448, + "learning_rate": 6.496496496496497e-05, + "loss": 2.3918, + "step": 6755 + }, + { + "epoch": 0.676, + "grad_norm": 0.7793731093406677, + "learning_rate": 6.486486486486487e-05, + "loss": 2.3742, + "step": 6760 + }, + { + "epoch": 0.6765, + "grad_norm": 0.8018571734428406, + "learning_rate": 6.476476476476476e-05, + "loss": 2.3878, + "step": 6765 + }, + { + "epoch": 0.677, + "grad_norm": 0.780410647392273, + "learning_rate": 6.466466466466466e-05, + "loss": 2.3851, + "step": 6770 + }, + { + "epoch": 0.6775, + "grad_norm": 0.8321567177772522, + "learning_rate": 6.456456456456457e-05, + "loss": 2.3919, + "step": 6775 + }, + { + "epoch": 0.678, + "grad_norm": 0.8763487935066223, + "learning_rate": 6.446446446446447e-05, + "loss": 2.3742, + "step": 6780 + }, + { + "epoch": 0.6785, + "grad_norm": 0.8359047174453735, + "learning_rate": 6.436436436436437e-05, + "loss": 2.3855, + "step": 6785 + }, + { + "epoch": 0.679, + "grad_norm": 0.9007706046104431, + "learning_rate": 6.426426426426426e-05, + "loss": 2.3771, + "step": 6790 + }, + { + "epoch": 0.6795, + "grad_norm": 0.9482093453407288, + "learning_rate": 6.416416416416416e-05, + "loss": 2.3943, + "step": 6795 + }, + { + "epoch": 0.68, + "grad_norm": 0.8471071124076843, + "learning_rate": 6.406406406406406e-05, + "loss": 2.4029, + "step": 6800 + }, + { + "epoch": 0.6805, + "grad_norm": 0.7937386631965637, + "learning_rate": 6.396396396396397e-05, + "loss": 2.3944, + "step": 6805 + }, + { + "epoch": 0.681, + "grad_norm": 0.8067902326583862, + "learning_rate": 6.386386386386387e-05, + "loss": 2.3953, + "step": 6810 + }, + { + "epoch": 0.6815, + "grad_norm": 0.7922859787940979, + "learning_rate": 6.376376376376376e-05, + "loss": 2.391, + "step": 6815 + }, + { + "epoch": 0.682, + "grad_norm": 0.8054628968238831, + "learning_rate": 6.366366366366366e-05, + "loss": 2.3825, + "step": 6820 + }, + { + "epoch": 0.6825, + "grad_norm": 0.8414512872695923, + "learning_rate": 6.356356356356356e-05, + "loss": 2.3758, + "step": 6825 + }, + { + "epoch": 0.683, + "grad_norm": 0.7730977535247803, + "learning_rate": 6.346346346346347e-05, + "loss": 2.3916, + "step": 6830 + }, + { + "epoch": 0.6835, + "grad_norm": 0.8458556532859802, + "learning_rate": 6.336336336336337e-05, + "loss": 2.3863, + "step": 6835 + }, + { + "epoch": 0.684, + "grad_norm": 0.7820555567741394, + "learning_rate": 6.326326326326326e-05, + "loss": 2.3712, + "step": 6840 + }, + { + "epoch": 0.6845, + "grad_norm": 0.7969538569450378, + "learning_rate": 6.316316316316316e-05, + "loss": 2.3888, + "step": 6845 + }, + { + "epoch": 0.685, + "grad_norm": 0.862758994102478, + "learning_rate": 6.306306306306306e-05, + "loss": 2.3901, + "step": 6850 + }, + { + "epoch": 0.6855, + "grad_norm": 0.8746228814125061, + "learning_rate": 6.296296296296296e-05, + "loss": 2.3993, + "step": 6855 + }, + { + "epoch": 0.686, + "grad_norm": 0.8406643271446228, + "learning_rate": 6.286286286286288e-05, + "loss": 2.3831, + "step": 6860 + }, + { + "epoch": 0.6865, + "grad_norm": 0.8201842308044434, + "learning_rate": 6.276276276276276e-05, + "loss": 2.382, + "step": 6865 + }, + { + "epoch": 0.687, + "grad_norm": 0.8067729473114014, + "learning_rate": 6.266266266266266e-05, + "loss": 2.3728, + "step": 6870 + }, + { + "epoch": 0.6875, + "grad_norm": 0.8983192443847656, + "learning_rate": 6.256256256256256e-05, + "loss": 2.3881, + "step": 6875 + }, + { + "epoch": 0.688, + "grad_norm": 0.9659560918807983, + "learning_rate": 6.246246246246246e-05, + "loss": 2.389, + "step": 6880 + }, + { + "epoch": 0.6885, + "grad_norm": 0.8363260626792908, + "learning_rate": 6.236236236236238e-05, + "loss": 2.3664, + "step": 6885 + }, + { + "epoch": 0.689, + "grad_norm": 0.8459045886993408, + "learning_rate": 6.226226226226226e-05, + "loss": 2.3857, + "step": 6890 + }, + { + "epoch": 0.6895, + "grad_norm": 0.8440020680427551, + "learning_rate": 6.216216216216216e-05, + "loss": 2.3642, + "step": 6895 + }, + { + "epoch": 0.69, + "grad_norm": 0.8255513906478882, + "learning_rate": 6.206206206206206e-05, + "loss": 2.3844, + "step": 6900 + }, + { + "epoch": 0.6905, + "grad_norm": 0.7914440631866455, + "learning_rate": 6.196196196196196e-05, + "loss": 2.3754, + "step": 6905 + }, + { + "epoch": 0.691, + "grad_norm": 0.832038164138794, + "learning_rate": 6.186186186186186e-05, + "loss": 2.3786, + "step": 6910 + }, + { + "epoch": 0.6915, + "grad_norm": 0.8137945532798767, + "learning_rate": 6.176176176176176e-05, + "loss": 2.3672, + "step": 6915 + }, + { + "epoch": 0.692, + "grad_norm": 0.7861709594726562, + "learning_rate": 6.166166166166166e-05, + "loss": 2.3816, + "step": 6920 + }, + { + "epoch": 0.6925, + "grad_norm": 0.8148735165596008, + "learning_rate": 6.156156156156156e-05, + "loss": 2.4103, + "step": 6925 + }, + { + "epoch": 0.693, + "grad_norm": 0.8730798959732056, + "learning_rate": 6.146146146146146e-05, + "loss": 2.3654, + "step": 6930 + }, + { + "epoch": 0.6935, + "grad_norm": 0.848082959651947, + "learning_rate": 6.136136136136136e-05, + "loss": 2.3925, + "step": 6935 + }, + { + "epoch": 0.694, + "grad_norm": 0.7952349185943604, + "learning_rate": 6.126126126126126e-05, + "loss": 2.3652, + "step": 6940 + }, + { + "epoch": 0.6945, + "grad_norm": 0.8390651345252991, + "learning_rate": 6.116116116116116e-05, + "loss": 2.3919, + "step": 6945 + }, + { + "epoch": 0.695, + "grad_norm": 0.8806639909744263, + "learning_rate": 6.106106106106106e-05, + "loss": 2.3805, + "step": 6950 + }, + { + "epoch": 0.6955, + "grad_norm": 0.7894412279129028, + "learning_rate": 6.0960960960960964e-05, + "loss": 2.4064, + "step": 6955 + }, + { + "epoch": 0.696, + "grad_norm": 0.7991839051246643, + "learning_rate": 6.086086086086087e-05, + "loss": 2.376, + "step": 6960 + }, + { + "epoch": 0.6965, + "grad_norm": 0.8137059807777405, + "learning_rate": 6.076076076076076e-05, + "loss": 2.3747, + "step": 6965 + }, + { + "epoch": 0.697, + "grad_norm": 0.8530757427215576, + "learning_rate": 6.0660660660660665e-05, + "loss": 2.3922, + "step": 6970 + }, + { + "epoch": 0.6975, + "grad_norm": 0.8087310791015625, + "learning_rate": 6.0560560560560565e-05, + "loss": 2.3654, + "step": 6975 + }, + { + "epoch": 0.698, + "grad_norm": 0.8027787208557129, + "learning_rate": 6.0460460460460465e-05, + "loss": 2.3812, + "step": 6980 + }, + { + "epoch": 0.6985, + "grad_norm": 0.8009427189826965, + "learning_rate": 6.0360360360360365e-05, + "loss": 2.3796, + "step": 6985 + }, + { + "epoch": 0.699, + "grad_norm": 0.8391687870025635, + "learning_rate": 6.026026026026026e-05, + "loss": 2.3901, + "step": 6990 + }, + { + "epoch": 0.6995, + "grad_norm": 0.783051609992981, + "learning_rate": 6.016016016016016e-05, + "loss": 2.351, + "step": 6995 + }, + { + "epoch": 0.7, + "grad_norm": 0.8066600561141968, + "learning_rate": 6.0060060060060066e-05, + "loss": 2.3802, + "step": 7000 + }, + { + "epoch": 0.7005, + "grad_norm": 0.8261300921440125, + "learning_rate": 5.9959959959959966e-05, + "loss": 2.3914, + "step": 7005 + }, + { + "epoch": 0.701, + "grad_norm": 0.7957533001899719, + "learning_rate": 5.9859859859859866e-05, + "loss": 2.3762, + "step": 7010 + }, + { + "epoch": 0.7015, + "grad_norm": 0.7757399678230286, + "learning_rate": 5.975975975975976e-05, + "loss": 2.3712, + "step": 7015 + }, + { + "epoch": 0.702, + "grad_norm": 0.8133918046951294, + "learning_rate": 5.965965965965966e-05, + "loss": 2.3628, + "step": 7020 + }, + { + "epoch": 0.7025, + "grad_norm": 0.7873533368110657, + "learning_rate": 5.9559559559559566e-05, + "loss": 2.3541, + "step": 7025 + }, + { + "epoch": 0.703, + "grad_norm": 0.8112744092941284, + "learning_rate": 5.9459459459459466e-05, + "loss": 2.3609, + "step": 7030 + }, + { + "epoch": 0.7035, + "grad_norm": 0.8749020099639893, + "learning_rate": 5.935935935935936e-05, + "loss": 2.3789, + "step": 7035 + }, + { + "epoch": 0.704, + "grad_norm": 0.8450562357902527, + "learning_rate": 5.925925925925926e-05, + "loss": 2.3759, + "step": 7040 + }, + { + "epoch": 0.7045, + "grad_norm": 0.8273308277130127, + "learning_rate": 5.915915915915916e-05, + "loss": 2.3894, + "step": 7045 + }, + { + "epoch": 0.705, + "grad_norm": 0.8608307838439941, + "learning_rate": 5.905905905905906e-05, + "loss": 2.3819, + "step": 7050 + }, + { + "epoch": 0.7055, + "grad_norm": 0.81144779920578, + "learning_rate": 5.895895895895897e-05, + "loss": 2.3718, + "step": 7055 + }, + { + "epoch": 0.706, + "grad_norm": 0.8147798180580139, + "learning_rate": 5.8858858858858854e-05, + "loss": 2.3731, + "step": 7060 + }, + { + "epoch": 0.7065, + "grad_norm": 0.8627402186393738, + "learning_rate": 5.875875875875876e-05, + "loss": 2.3543, + "step": 7065 + }, + { + "epoch": 0.707, + "grad_norm": 0.7978000044822693, + "learning_rate": 5.865865865865866e-05, + "loss": 2.3806, + "step": 7070 + }, + { + "epoch": 0.7075, + "grad_norm": 0.8095467686653137, + "learning_rate": 5.855855855855856e-05, + "loss": 2.3886, + "step": 7075 + }, + { + "epoch": 0.708, + "grad_norm": 0.7899516820907593, + "learning_rate": 5.845845845845847e-05, + "loss": 2.353, + "step": 7080 + }, + { + "epoch": 0.7085, + "grad_norm": 0.7910207509994507, + "learning_rate": 5.8358358358358354e-05, + "loss": 2.376, + "step": 7085 + }, + { + "epoch": 0.709, + "grad_norm": 0.7842855453491211, + "learning_rate": 5.825825825825826e-05, + "loss": 2.3705, + "step": 7090 + }, + { + "epoch": 0.7095, + "grad_norm": 0.7983612418174744, + "learning_rate": 5.815815815815816e-05, + "loss": 2.3711, + "step": 7095 + }, + { + "epoch": 0.71, + "grad_norm": 0.8135548830032349, + "learning_rate": 5.805805805805806e-05, + "loss": 2.3915, + "step": 7100 + }, + { + "epoch": 0.7105, + "grad_norm": 0.824687659740448, + "learning_rate": 5.795795795795796e-05, + "loss": 2.3634, + "step": 7105 + }, + { + "epoch": 0.711, + "grad_norm": 0.8016681671142578, + "learning_rate": 5.7857857857857855e-05, + "loss": 2.3656, + "step": 7110 + }, + { + "epoch": 0.7115, + "grad_norm": 0.8466838002204895, + "learning_rate": 5.7757757757757755e-05, + "loss": 2.3601, + "step": 7115 + }, + { + "epoch": 0.712, + "grad_norm": 0.8030304908752441, + "learning_rate": 5.765765765765766e-05, + "loss": 2.369, + "step": 7120 + }, + { + "epoch": 0.7125, + "grad_norm": 0.7801939249038696, + "learning_rate": 5.755755755755756e-05, + "loss": 2.3457, + "step": 7125 + }, + { + "epoch": 0.713, + "grad_norm": 0.8262499570846558, + "learning_rate": 5.745745745745746e-05, + "loss": 2.3802, + "step": 7130 + }, + { + "epoch": 0.7135, + "grad_norm": 0.8150855302810669, + "learning_rate": 5.7357357357357356e-05, + "loss": 2.3639, + "step": 7135 + }, + { + "epoch": 0.714, + "grad_norm": 0.8202646970748901, + "learning_rate": 5.7257257257257256e-05, + "loss": 2.3669, + "step": 7140 + }, + { + "epoch": 0.7145, + "grad_norm": 0.8026723265647888, + "learning_rate": 5.715715715715716e-05, + "loss": 2.3811, + "step": 7145 + }, + { + "epoch": 0.715, + "grad_norm": 0.8347824215888977, + "learning_rate": 5.705705705705706e-05, + "loss": 2.4039, + "step": 7150 + }, + { + "epoch": 0.7155, + "grad_norm": 0.8026264309883118, + "learning_rate": 5.695695695695696e-05, + "loss": 2.3531, + "step": 7155 + }, + { + "epoch": 0.716, + "grad_norm": 0.8455007076263428, + "learning_rate": 5.6856856856856856e-05, + "loss": 2.3756, + "step": 7160 + }, + { + "epoch": 0.7165, + "grad_norm": 0.771700918674469, + "learning_rate": 5.6756756756756757e-05, + "loss": 2.3862, + "step": 7165 + }, + { + "epoch": 0.717, + "grad_norm": 0.8043254017829895, + "learning_rate": 5.665665665665666e-05, + "loss": 2.3787, + "step": 7170 + }, + { + "epoch": 0.7175, + "grad_norm": 0.7972248792648315, + "learning_rate": 5.6556556556556564e-05, + "loss": 2.3447, + "step": 7175 + }, + { + "epoch": 0.718, + "grad_norm": 0.8100689053535461, + "learning_rate": 5.6456456456456464e-05, + "loss": 2.3429, + "step": 7180 + }, + { + "epoch": 0.7185, + "grad_norm": 0.8367940187454224, + "learning_rate": 5.635635635635636e-05, + "loss": 2.3852, + "step": 7185 + }, + { + "epoch": 0.719, + "grad_norm": 0.8084604144096375, + "learning_rate": 5.625625625625626e-05, + "loss": 2.3581, + "step": 7190 + }, + { + "epoch": 0.7195, + "grad_norm": 0.8251677751541138, + "learning_rate": 5.615615615615616e-05, + "loss": 2.3576, + "step": 7195 + }, + { + "epoch": 0.72, + "grad_norm": 0.8056468963623047, + "learning_rate": 5.6056056056056064e-05, + "loss": 2.3879, + "step": 7200 + }, + { + "epoch": 0.7205, + "grad_norm": 0.7862322926521301, + "learning_rate": 5.5955955955955964e-05, + "loss": 2.3749, + "step": 7205 + }, + { + "epoch": 0.721, + "grad_norm": 0.8112216591835022, + "learning_rate": 5.585585585585585e-05, + "loss": 2.3583, + "step": 7210 + }, + { + "epoch": 0.7215, + "grad_norm": 0.8866540789604187, + "learning_rate": 5.575575575575576e-05, + "loss": 2.3877, + "step": 7215 + }, + { + "epoch": 0.722, + "grad_norm": 0.8252007365226746, + "learning_rate": 5.565565565565566e-05, + "loss": 2.3675, + "step": 7220 + }, + { + "epoch": 0.7225, + "grad_norm": 0.8246432542800903, + "learning_rate": 5.555555555555556e-05, + "loss": 2.3786, + "step": 7225 + }, + { + "epoch": 0.723, + "grad_norm": 0.843048632144928, + "learning_rate": 5.5455455455455465e-05, + "loss": 2.3612, + "step": 7230 + }, + { + "epoch": 0.7235, + "grad_norm": 0.7862938046455383, + "learning_rate": 5.535535535535535e-05, + "loss": 2.3706, + "step": 7235 + }, + { + "epoch": 0.724, + "grad_norm": 0.8511613607406616, + "learning_rate": 5.525525525525526e-05, + "loss": 2.3774, + "step": 7240 + }, + { + "epoch": 0.7245, + "grad_norm": 0.858098030090332, + "learning_rate": 5.515515515515516e-05, + "loss": 2.3644, + "step": 7245 + }, + { + "epoch": 0.725, + "grad_norm": 0.8149218559265137, + "learning_rate": 5.505505505505506e-05, + "loss": 2.3957, + "step": 7250 + }, + { + "epoch": 0.7255, + "grad_norm": 0.8075857758522034, + "learning_rate": 5.4954954954954966e-05, + "loss": 2.3941, + "step": 7255 + }, + { + "epoch": 0.726, + "grad_norm": 0.9962955117225647, + "learning_rate": 5.485485485485485e-05, + "loss": 2.3687, + "step": 7260 + }, + { + "epoch": 0.7265, + "grad_norm": 0.7864262461662292, + "learning_rate": 5.475475475475475e-05, + "loss": 2.3617, + "step": 7265 + }, + { + "epoch": 0.727, + "grad_norm": 0.8471370339393616, + "learning_rate": 5.465465465465466e-05, + "loss": 2.3765, + "step": 7270 + }, + { + "epoch": 0.7275, + "grad_norm": 0.8417593240737915, + "learning_rate": 5.455455455455456e-05, + "loss": 2.3631, + "step": 7275 + }, + { + "epoch": 0.728, + "grad_norm": 0.8216800689697266, + "learning_rate": 5.445445445445446e-05, + "loss": 2.3934, + "step": 7280 + }, + { + "epoch": 0.7285, + "grad_norm": 0.8299776315689087, + "learning_rate": 5.435435435435435e-05, + "loss": 2.3744, + "step": 7285 + }, + { + "epoch": 0.729, + "grad_norm": 0.9270496964454651, + "learning_rate": 5.425425425425425e-05, + "loss": 2.379, + "step": 7290 + }, + { + "epoch": 0.7295, + "grad_norm": 0.7992855906486511, + "learning_rate": 5.415415415415416e-05, + "loss": 2.3673, + "step": 7295 + }, + { + "epoch": 0.73, + "grad_norm": 0.7973700165748596, + "learning_rate": 5.405405405405406e-05, + "loss": 2.3799, + "step": 7300 + }, + { + "epoch": 0.7305, + "grad_norm": 0.8608441352844238, + "learning_rate": 5.395395395395396e-05, + "loss": 2.3897, + "step": 7305 + }, + { + "epoch": 0.731, + "grad_norm": 0.7959920763969421, + "learning_rate": 5.3853853853853854e-05, + "loss": 2.3771, + "step": 7310 + }, + { + "epoch": 0.7315, + "grad_norm": 0.7734951972961426, + "learning_rate": 5.3753753753753754e-05, + "loss": 2.3836, + "step": 7315 + }, + { + "epoch": 0.732, + "grad_norm": 0.8180063962936401, + "learning_rate": 5.3653653653653654e-05, + "loss": 2.3562, + "step": 7320 + }, + { + "epoch": 0.7325, + "grad_norm": 0.817004382610321, + "learning_rate": 5.355355355355356e-05, + "loss": 2.3608, + "step": 7325 + }, + { + "epoch": 0.733, + "grad_norm": 0.7949969172477722, + "learning_rate": 5.345345345345346e-05, + "loss": 2.3812, + "step": 7330 + }, + { + "epoch": 0.7335, + "grad_norm": 0.8416751027107239, + "learning_rate": 5.3353353353353355e-05, + "loss": 2.3376, + "step": 7335 + }, + { + "epoch": 0.734, + "grad_norm": 0.8331473469734192, + "learning_rate": 5.3253253253253255e-05, + "loss": 2.3837, + "step": 7340 + }, + { + "epoch": 0.7345, + "grad_norm": 0.8140696883201599, + "learning_rate": 5.3153153153153155e-05, + "loss": 2.3737, + "step": 7345 + }, + { + "epoch": 0.735, + "grad_norm": 0.8087270259857178, + "learning_rate": 5.305305305305306e-05, + "loss": 2.3579, + "step": 7350 + }, + { + "epoch": 0.7355, + "grad_norm": 0.8513954877853394, + "learning_rate": 5.295295295295295e-05, + "loss": 2.3682, + "step": 7355 + }, + { + "epoch": 0.736, + "grad_norm": 0.8019487857818604, + "learning_rate": 5.2852852852852855e-05, + "loss": 2.383, + "step": 7360 + }, + { + "epoch": 0.7365, + "grad_norm": 0.8455563187599182, + "learning_rate": 5.2752752752752755e-05, + "loss": 2.3614, + "step": 7365 + }, + { + "epoch": 0.737, + "grad_norm": 0.8061125874519348, + "learning_rate": 5.2652652652652655e-05, + "loss": 2.3715, + "step": 7370 + }, + { + "epoch": 0.7375, + "grad_norm": 0.8147531151771545, + "learning_rate": 5.2552552552552556e-05, + "loss": 2.3663, + "step": 7375 + }, + { + "epoch": 0.738, + "grad_norm": 0.8364109992980957, + "learning_rate": 5.245245245245245e-05, + "loss": 2.3746, + "step": 7380 + }, + { + "epoch": 0.7385, + "grad_norm": 0.8020389080047607, + "learning_rate": 5.235235235235235e-05, + "loss": 2.3357, + "step": 7385 + }, + { + "epoch": 0.739, + "grad_norm": 0.8236432075500488, + "learning_rate": 5.2252252252252256e-05, + "loss": 2.3952, + "step": 7390 + }, + { + "epoch": 0.7395, + "grad_norm": 0.7781680226325989, + "learning_rate": 5.2152152152152156e-05, + "loss": 2.3833, + "step": 7395 + }, + { + "epoch": 0.74, + "grad_norm": 0.7892677187919617, + "learning_rate": 5.2052052052052056e-05, + "loss": 2.3658, + "step": 7400 + }, + { + "epoch": 0.7405, + "grad_norm": 0.808290958404541, + "learning_rate": 5.195195195195195e-05, + "loss": 2.3683, + "step": 7405 + }, + { + "epoch": 0.741, + "grad_norm": 0.7929525971412659, + "learning_rate": 5.185185185185185e-05, + "loss": 2.3563, + "step": 7410 + }, + { + "epoch": 0.7415, + "grad_norm": 0.8070533871650696, + "learning_rate": 5.175175175175176e-05, + "loss": 2.3546, + "step": 7415 + }, + { + "epoch": 0.742, + "grad_norm": 0.8430861234664917, + "learning_rate": 5.165165165165166e-05, + "loss": 2.366, + "step": 7420 + }, + { + "epoch": 0.7425, + "grad_norm": 0.8671832084655762, + "learning_rate": 5.155155155155156e-05, + "loss": 2.3898, + "step": 7425 + }, + { + "epoch": 0.743, + "grad_norm": 0.8964141011238098, + "learning_rate": 5.145145145145145e-05, + "loss": 2.3625, + "step": 7430 + }, + { + "epoch": 0.7435, + "grad_norm": 0.8146119713783264, + "learning_rate": 5.135135135135135e-05, + "loss": 2.3811, + "step": 7435 + }, + { + "epoch": 0.744, + "grad_norm": 0.83391273021698, + "learning_rate": 5.125125125125125e-05, + "loss": 2.3757, + "step": 7440 + }, + { + "epoch": 0.7445, + "grad_norm": 0.7972255945205688, + "learning_rate": 5.115115115115116e-05, + "loss": 2.379, + "step": 7445 + }, + { + "epoch": 0.745, + "grad_norm": 0.7837113738059998, + "learning_rate": 5.105105105105106e-05, + "loss": 2.3716, + "step": 7450 + }, + { + "epoch": 0.7455, + "grad_norm": 0.8616361618041992, + "learning_rate": 5.095095095095095e-05, + "loss": 2.3552, + "step": 7455 + }, + { + "epoch": 0.746, + "grad_norm": 0.8113681077957153, + "learning_rate": 5.085085085085085e-05, + "loss": 2.3789, + "step": 7460 + }, + { + "epoch": 0.7465, + "grad_norm": 0.7940648198127747, + "learning_rate": 5.075075075075075e-05, + "loss": 2.3643, + "step": 7465 + }, + { + "epoch": 0.747, + "grad_norm": 0.8371662497520447, + "learning_rate": 5.065065065065066e-05, + "loss": 2.3637, + "step": 7470 + }, + { + "epoch": 0.7475, + "grad_norm": 0.8097828030586243, + "learning_rate": 5.055055055055056e-05, + "loss": 2.386, + "step": 7475 + }, + { + "epoch": 0.748, + "grad_norm": 0.8285651803016663, + "learning_rate": 5.0450450450450445e-05, + "loss": 2.3578, + "step": 7480 + }, + { + "epoch": 0.7485, + "grad_norm": 0.7992802858352661, + "learning_rate": 5.035035035035035e-05, + "loss": 2.3586, + "step": 7485 + }, + { + "epoch": 0.749, + "grad_norm": 0.8517287969589233, + "learning_rate": 5.025025025025025e-05, + "loss": 2.3644, + "step": 7490 + }, + { + "epoch": 0.7495, + "grad_norm": 0.8603693842887878, + "learning_rate": 5.015015015015015e-05, + "loss": 2.3585, + "step": 7495 + }, + { + "epoch": 0.75, + "grad_norm": 0.837411105632782, + "learning_rate": 5.005005005005006e-05, + "loss": 2.3527, + "step": 7500 + }, + { + "epoch": 0.7505, + "grad_norm": 0.7850192189216614, + "learning_rate": 4.994994994994995e-05, + "loss": 2.3614, + "step": 7505 + }, + { + "epoch": 0.751, + "grad_norm": 0.7993366718292236, + "learning_rate": 4.984984984984985e-05, + "loss": 2.3432, + "step": 7510 + }, + { + "epoch": 0.7515, + "grad_norm": 0.801365315914154, + "learning_rate": 4.974974974974975e-05, + "loss": 2.3446, + "step": 7515 + }, + { + "epoch": 0.752, + "grad_norm": 0.8253291249275208, + "learning_rate": 4.964964964964965e-05, + "loss": 2.3685, + "step": 7520 + }, + { + "epoch": 0.7525, + "grad_norm": 0.8093944787979126, + "learning_rate": 4.954954954954955e-05, + "loss": 2.3598, + "step": 7525 + }, + { + "epoch": 0.753, + "grad_norm": 0.7934316396713257, + "learning_rate": 4.944944944944945e-05, + "loss": 2.369, + "step": 7530 + }, + { + "epoch": 0.7535, + "grad_norm": 0.8154873847961426, + "learning_rate": 4.9349349349349347e-05, + "loss": 2.3792, + "step": 7535 + }, + { + "epoch": 0.754, + "grad_norm": 0.8415142893791199, + "learning_rate": 4.9249249249249253e-05, + "loss": 2.3622, + "step": 7540 + }, + { + "epoch": 0.7545, + "grad_norm": 0.9094659090042114, + "learning_rate": 4.9149149149149154e-05, + "loss": 2.3663, + "step": 7545 + }, + { + "epoch": 0.755, + "grad_norm": 0.8376139998435974, + "learning_rate": 4.9049049049049054e-05, + "loss": 2.3486, + "step": 7550 + }, + { + "epoch": 0.7555, + "grad_norm": 0.7904059290885925, + "learning_rate": 4.8948948948948954e-05, + "loss": 2.3417, + "step": 7555 + }, + { + "epoch": 0.756, + "grad_norm": 0.8456617593765259, + "learning_rate": 4.884884884884885e-05, + "loss": 2.3765, + "step": 7560 + }, + { + "epoch": 0.7565, + "grad_norm": 0.8238437175750732, + "learning_rate": 4.8748748748748754e-05, + "loss": 2.3768, + "step": 7565 + }, + { + "epoch": 0.757, + "grad_norm": 0.8127914667129517, + "learning_rate": 4.8648648648648654e-05, + "loss": 2.3459, + "step": 7570 + }, + { + "epoch": 0.7575, + "grad_norm": 0.879636824131012, + "learning_rate": 4.854854854854855e-05, + "loss": 2.3588, + "step": 7575 + }, + { + "epoch": 0.758, + "grad_norm": 0.8751839399337769, + "learning_rate": 4.8448448448448455e-05, + "loss": 2.3566, + "step": 7580 + }, + { + "epoch": 0.7585, + "grad_norm": 0.80313640832901, + "learning_rate": 4.834834834834835e-05, + "loss": 2.3659, + "step": 7585 + }, + { + "epoch": 0.759, + "grad_norm": 0.8672766089439392, + "learning_rate": 4.824824824824825e-05, + "loss": 2.3713, + "step": 7590 + }, + { + "epoch": 0.7595, + "grad_norm": 0.8659483790397644, + "learning_rate": 4.814814814814815e-05, + "loss": 2.3806, + "step": 7595 + }, + { + "epoch": 0.76, + "grad_norm": 0.816363513469696, + "learning_rate": 4.804804804804805e-05, + "loss": 2.3593, + "step": 7600 + }, + { + "epoch": 0.7605, + "grad_norm": 0.8372772932052612, + "learning_rate": 4.7947947947947955e-05, + "loss": 2.3402, + "step": 7605 + }, + { + "epoch": 0.761, + "grad_norm": 0.841561496257782, + "learning_rate": 4.784784784784785e-05, + "loss": 2.3519, + "step": 7610 + }, + { + "epoch": 0.7615, + "grad_norm": 0.7936203479766846, + "learning_rate": 4.774774774774775e-05, + "loss": 2.3714, + "step": 7615 + }, + { + "epoch": 0.762, + "grad_norm": 0.8175353407859802, + "learning_rate": 4.764764764764765e-05, + "loss": 2.3571, + "step": 7620 + }, + { + "epoch": 0.7625, + "grad_norm": 0.8095380663871765, + "learning_rate": 4.754754754754755e-05, + "loss": 2.3731, + "step": 7625 + }, + { + "epoch": 0.763, + "grad_norm": 0.86039799451828, + "learning_rate": 4.744744744744745e-05, + "loss": 2.3402, + "step": 7630 + }, + { + "epoch": 0.7635, + "grad_norm": 0.7970331311225891, + "learning_rate": 4.734734734734735e-05, + "loss": 2.3562, + "step": 7635 + }, + { + "epoch": 0.764, + "grad_norm": 0.8392342925071716, + "learning_rate": 4.724724724724725e-05, + "loss": 2.3739, + "step": 7640 + }, + { + "epoch": 0.7645, + "grad_norm": 0.8334502577781677, + "learning_rate": 4.714714714714715e-05, + "loss": 2.3464, + "step": 7645 + }, + { + "epoch": 0.765, + "grad_norm": 0.8409643173217773, + "learning_rate": 4.704704704704705e-05, + "loss": 2.4046, + "step": 7650 + }, + { + "epoch": 0.7655, + "grad_norm": 0.8266360759735107, + "learning_rate": 4.694694694694695e-05, + "loss": 2.3713, + "step": 7655 + }, + { + "epoch": 0.766, + "grad_norm": 0.7967942953109741, + "learning_rate": 4.684684684684685e-05, + "loss": 2.3632, + "step": 7660 + }, + { + "epoch": 0.7665, + "grad_norm": 0.8663550019264221, + "learning_rate": 4.674674674674675e-05, + "loss": 2.3539, + "step": 7665 + }, + { + "epoch": 0.767, + "grad_norm": 0.832740068435669, + "learning_rate": 4.6646646646646644e-05, + "loss": 2.3424, + "step": 7670 + }, + { + "epoch": 0.7675, + "grad_norm": 0.85154789686203, + "learning_rate": 4.654654654654655e-05, + "loss": 2.3567, + "step": 7675 + }, + { + "epoch": 0.768, + "grad_norm": 0.8139371871948242, + "learning_rate": 4.644644644644645e-05, + "loss": 2.3845, + "step": 7680 + }, + { + "epoch": 0.7685, + "grad_norm": 0.8819915056228638, + "learning_rate": 4.634634634634635e-05, + "loss": 2.368, + "step": 7685 + }, + { + "epoch": 0.769, + "grad_norm": 0.8150420188903809, + "learning_rate": 4.624624624624625e-05, + "loss": 2.3595, + "step": 7690 + }, + { + "epoch": 0.7695, + "grad_norm": 0.8445594310760498, + "learning_rate": 4.6146146146146144e-05, + "loss": 2.3579, + "step": 7695 + }, + { + "epoch": 0.77, + "grad_norm": 0.8054527044296265, + "learning_rate": 4.604604604604605e-05, + "loss": 2.3534, + "step": 7700 + }, + { + "epoch": 0.7705, + "grad_norm": 0.8040105104446411, + "learning_rate": 4.594594594594595e-05, + "loss": 2.3824, + "step": 7705 + }, + { + "epoch": 0.771, + "grad_norm": 0.8173477053642273, + "learning_rate": 4.5845845845845845e-05, + "loss": 2.358, + "step": 7710 + }, + { + "epoch": 0.7715, + "grad_norm": 0.8278516530990601, + "learning_rate": 4.574574574574575e-05, + "loss": 2.3458, + "step": 7715 + }, + { + "epoch": 0.772, + "grad_norm": 0.8155180811882019, + "learning_rate": 4.5645645645645645e-05, + "loss": 2.3542, + "step": 7720 + }, + { + "epoch": 0.7725, + "grad_norm": 0.811967670917511, + "learning_rate": 4.5545545545545545e-05, + "loss": 2.3689, + "step": 7725 + }, + { + "epoch": 0.773, + "grad_norm": 0.8122997283935547, + "learning_rate": 4.544544544544545e-05, + "loss": 2.3797, + "step": 7730 + }, + { + "epoch": 0.7735, + "grad_norm": 0.8238713145256042, + "learning_rate": 4.5345345345345345e-05, + "loss": 2.3871, + "step": 7735 + }, + { + "epoch": 0.774, + "grad_norm": 0.7975063920021057, + "learning_rate": 4.524524524524525e-05, + "loss": 2.3637, + "step": 7740 + }, + { + "epoch": 0.7745, + "grad_norm": 0.8312461376190186, + "learning_rate": 4.5145145145145146e-05, + "loss": 2.3469, + "step": 7745 + }, + { + "epoch": 0.775, + "grad_norm": 0.8213257193565369, + "learning_rate": 4.5045045045045046e-05, + "loss": 2.3878, + "step": 7750 + }, + { + "epoch": 0.7755, + "grad_norm": 0.8709314465522766, + "learning_rate": 4.4944944944944946e-05, + "loss": 2.3642, + "step": 7755 + }, + { + "epoch": 0.776, + "grad_norm": 0.8140637874603271, + "learning_rate": 4.4844844844844846e-05, + "loss": 2.3533, + "step": 7760 + }, + { + "epoch": 0.7765, + "grad_norm": 0.8330239653587341, + "learning_rate": 4.4744744744744746e-05, + "loss": 2.3647, + "step": 7765 + }, + { + "epoch": 0.777, + "grad_norm": 0.8120850324630737, + "learning_rate": 4.4644644644644646e-05, + "loss": 2.3587, + "step": 7770 + }, + { + "epoch": 0.7775, + "grad_norm": 0.8139227032661438, + "learning_rate": 4.4544544544544546e-05, + "loss": 2.3635, + "step": 7775 + }, + { + "epoch": 0.778, + "grad_norm": 0.8348556160926819, + "learning_rate": 4.4444444444444447e-05, + "loss": 2.3721, + "step": 7780 + }, + { + "epoch": 0.7785, + "grad_norm": 0.8350592851638794, + "learning_rate": 4.434434434434435e-05, + "loss": 2.3801, + "step": 7785 + }, + { + "epoch": 0.779, + "grad_norm": 0.8146738409996033, + "learning_rate": 4.424424424424425e-05, + "loss": 2.3544, + "step": 7790 + }, + { + "epoch": 0.7795, + "grad_norm": 0.82841956615448, + "learning_rate": 4.414414414414415e-05, + "loss": 2.3373, + "step": 7795 + }, + { + "epoch": 0.78, + "grad_norm": 0.8554604649543762, + "learning_rate": 4.404404404404405e-05, + "loss": 2.3614, + "step": 7800 + }, + { + "epoch": 0.7805, + "grad_norm": 0.8313968181610107, + "learning_rate": 4.394394394394394e-05, + "loss": 2.3451, + "step": 7805 + }, + { + "epoch": 0.781, + "grad_norm": 0.8203895688056946, + "learning_rate": 4.384384384384385e-05, + "loss": 2.3601, + "step": 7810 + }, + { + "epoch": 0.7815, + "grad_norm": 0.814744234085083, + "learning_rate": 4.374374374374375e-05, + "loss": 2.3856, + "step": 7815 + }, + { + "epoch": 0.782, + "grad_norm": 0.8176069259643555, + "learning_rate": 4.364364364364365e-05, + "loss": 2.3435, + "step": 7820 + }, + { + "epoch": 0.7825, + "grad_norm": 0.8046497702598572, + "learning_rate": 4.354354354354355e-05, + "loss": 2.3643, + "step": 7825 + }, + { + "epoch": 0.783, + "grad_norm": 0.8219382762908936, + "learning_rate": 4.344344344344344e-05, + "loss": 2.3636, + "step": 7830 + }, + { + "epoch": 0.7835, + "grad_norm": 0.8374064564704895, + "learning_rate": 4.334334334334335e-05, + "loss": 2.3669, + "step": 7835 + }, + { + "epoch": 0.784, + "grad_norm": 0.8313128352165222, + "learning_rate": 4.324324324324325e-05, + "loss": 2.3303, + "step": 7840 + }, + { + "epoch": 0.7845, + "grad_norm": 0.8300835490226746, + "learning_rate": 4.314314314314314e-05, + "loss": 2.3293, + "step": 7845 + }, + { + "epoch": 0.785, + "grad_norm": 0.8263983130455017, + "learning_rate": 4.304304304304305e-05, + "loss": 2.3495, + "step": 7850 + }, + { + "epoch": 0.7855, + "grad_norm": 0.835594654083252, + "learning_rate": 4.294294294294294e-05, + "loss": 2.3481, + "step": 7855 + }, + { + "epoch": 0.786, + "grad_norm": 0.8166428804397583, + "learning_rate": 4.284284284284284e-05, + "loss": 2.3811, + "step": 7860 + }, + { + "epoch": 0.7865, + "grad_norm": 0.8068861961364746, + "learning_rate": 4.274274274274275e-05, + "loss": 2.3759, + "step": 7865 + }, + { + "epoch": 0.787, + "grad_norm": 0.8637300133705139, + "learning_rate": 4.264264264264264e-05, + "loss": 2.3728, + "step": 7870 + }, + { + "epoch": 0.7875, + "grad_norm": 0.8304838538169861, + "learning_rate": 4.254254254254255e-05, + "loss": 2.3558, + "step": 7875 + }, + { + "epoch": 0.788, + "grad_norm": 0.813943088054657, + "learning_rate": 4.244244244244244e-05, + "loss": 2.3273, + "step": 7880 + }, + { + "epoch": 0.7885, + "grad_norm": 0.8327081203460693, + "learning_rate": 4.234234234234234e-05, + "loss": 2.3514, + "step": 7885 + }, + { + "epoch": 0.789, + "grad_norm": 0.8549174070358276, + "learning_rate": 4.224224224224225e-05, + "loss": 2.3849, + "step": 7890 + }, + { + "epoch": 0.7895, + "grad_norm": 0.8003869652748108, + "learning_rate": 4.214214214214214e-05, + "loss": 2.3456, + "step": 7895 + }, + { + "epoch": 0.79, + "grad_norm": 0.8233539462089539, + "learning_rate": 4.204204204204204e-05, + "loss": 2.3488, + "step": 7900 + }, + { + "epoch": 0.7905, + "grad_norm": 0.8078953623771667, + "learning_rate": 4.194194194194194e-05, + "loss": 2.3626, + "step": 7905 + }, + { + "epoch": 0.791, + "grad_norm": 0.8408604264259338, + "learning_rate": 4.1841841841841843e-05, + "loss": 2.3702, + "step": 7910 + }, + { + "epoch": 0.7915, + "grad_norm": 0.8244900703430176, + "learning_rate": 4.1741741741741744e-05, + "loss": 2.3367, + "step": 7915 + }, + { + "epoch": 0.792, + "grad_norm": 0.8229595422744751, + "learning_rate": 4.1641641641641644e-05, + "loss": 2.3475, + "step": 7920 + }, + { + "epoch": 0.7925, + "grad_norm": 0.8468862175941467, + "learning_rate": 4.1541541541541544e-05, + "loss": 2.3716, + "step": 7925 + }, + { + "epoch": 0.793, + "grad_norm": 0.7976715564727783, + "learning_rate": 4.1441441441441444e-05, + "loss": 2.3701, + "step": 7930 + }, + { + "epoch": 0.7935, + "grad_norm": 0.7963828444480896, + "learning_rate": 4.1341341341341344e-05, + "loss": 2.3521, + "step": 7935 + }, + { + "epoch": 0.794, + "grad_norm": 0.8006214499473572, + "learning_rate": 4.124124124124124e-05, + "loss": 2.3594, + "step": 7940 + }, + { + "epoch": 0.7945, + "grad_norm": 0.8206690549850464, + "learning_rate": 4.1141141141141144e-05, + "loss": 2.3498, + "step": 7945 + }, + { + "epoch": 0.795, + "grad_norm": 0.8171199560165405, + "learning_rate": 4.1041041041041045e-05, + "loss": 2.3487, + "step": 7950 + }, + { + "epoch": 0.7955, + "grad_norm": 0.8080857992172241, + "learning_rate": 4.0940940940940945e-05, + "loss": 2.3263, + "step": 7955 + }, + { + "epoch": 0.796, + "grad_norm": 0.8231513500213623, + "learning_rate": 4.0840840840840845e-05, + "loss": 2.3729, + "step": 7960 + }, + { + "epoch": 0.7965, + "grad_norm": 0.8671808242797852, + "learning_rate": 4.074074074074074e-05, + "loss": 2.376, + "step": 7965 + }, + { + "epoch": 0.797, + "grad_norm": 0.790890097618103, + "learning_rate": 4.0640640640640645e-05, + "loss": 2.3345, + "step": 7970 + }, + { + "epoch": 0.7975, + "grad_norm": 0.8026176691055298, + "learning_rate": 4.0540540540540545e-05, + "loss": 2.3578, + "step": 7975 + }, + { + "epoch": 0.798, + "grad_norm": 0.799191415309906, + "learning_rate": 4.044044044044044e-05, + "loss": 2.3585, + "step": 7980 + }, + { + "epoch": 0.7985, + "grad_norm": 0.8245786428451538, + "learning_rate": 4.0340340340340346e-05, + "loss": 2.3535, + "step": 7985 + }, + { + "epoch": 0.799, + "grad_norm": 0.8001775145530701, + "learning_rate": 4.024024024024024e-05, + "loss": 2.3813, + "step": 7990 + }, + { + "epoch": 0.7995, + "grad_norm": 0.8119397163391113, + "learning_rate": 4.014014014014014e-05, + "loss": 2.34, + "step": 7995 + }, + { + "epoch": 0.8, + "grad_norm": 0.8177365660667419, + "learning_rate": 4.0040040040040046e-05, + "loss": 2.3409, + "step": 8000 + }, + { + "epoch": 0.8005, + "grad_norm": 0.8202060461044312, + "learning_rate": 3.993993993993994e-05, + "loss": 2.3438, + "step": 8005 + }, + { + "epoch": 0.801, + "grad_norm": 0.8008648157119751, + "learning_rate": 3.9839839839839846e-05, + "loss": 2.3566, + "step": 8010 + }, + { + "epoch": 0.8015, + "grad_norm": 0.8599295616149902, + "learning_rate": 3.973973973973974e-05, + "loss": 2.3465, + "step": 8015 + }, + { + "epoch": 0.802, + "grad_norm": 0.8756669163703918, + "learning_rate": 3.963963963963964e-05, + "loss": 2.3387, + "step": 8020 + }, + { + "epoch": 0.8025, + "grad_norm": 0.8419957756996155, + "learning_rate": 3.953953953953955e-05, + "loss": 2.3652, + "step": 8025 + }, + { + "epoch": 0.803, + "grad_norm": 0.8807148933410645, + "learning_rate": 3.943943943943944e-05, + "loss": 2.3626, + "step": 8030 + }, + { + "epoch": 0.8035, + "grad_norm": 0.8416363596916199, + "learning_rate": 3.933933933933934e-05, + "loss": 2.3441, + "step": 8035 + }, + { + "epoch": 0.804, + "grad_norm": 0.8050745725631714, + "learning_rate": 3.923923923923924e-05, + "loss": 2.3327, + "step": 8040 + }, + { + "epoch": 0.8045, + "grad_norm": 0.8007880449295044, + "learning_rate": 3.913913913913914e-05, + "loss": 2.3382, + "step": 8045 + }, + { + "epoch": 0.805, + "grad_norm": 0.8622052669525146, + "learning_rate": 3.903903903903904e-05, + "loss": 2.3388, + "step": 8050 + }, + { + "epoch": 0.8055, + "grad_norm": 0.8893733024597168, + "learning_rate": 3.893893893893894e-05, + "loss": 2.3553, + "step": 8055 + }, + { + "epoch": 0.806, + "grad_norm": 0.809303343296051, + "learning_rate": 3.883883883883884e-05, + "loss": 2.3664, + "step": 8060 + }, + { + "epoch": 0.8065, + "grad_norm": 0.8065176010131836, + "learning_rate": 3.873873873873874e-05, + "loss": 2.3279, + "step": 8065 + }, + { + "epoch": 0.807, + "grad_norm": 0.8207269310951233, + "learning_rate": 3.863863863863864e-05, + "loss": 2.3574, + "step": 8070 + }, + { + "epoch": 0.8075, + "grad_norm": 0.8416551351547241, + "learning_rate": 3.8538538538538534e-05, + "loss": 2.3645, + "step": 8075 + }, + { + "epoch": 0.808, + "grad_norm": 0.8307541012763977, + "learning_rate": 3.843843843843844e-05, + "loss": 2.3598, + "step": 8080 + }, + { + "epoch": 0.8085, + "grad_norm": 0.887773871421814, + "learning_rate": 3.833833833833834e-05, + "loss": 2.3657, + "step": 8085 + }, + { + "epoch": 0.809, + "grad_norm": 0.8345415592193604, + "learning_rate": 3.823823823823824e-05, + "loss": 2.3648, + "step": 8090 + }, + { + "epoch": 0.8095, + "grad_norm": 0.8247503638267517, + "learning_rate": 3.813813813813814e-05, + "loss": 2.3438, + "step": 8095 + }, + { + "epoch": 0.81, + "grad_norm": 0.8071210384368896, + "learning_rate": 3.8038038038038035e-05, + "loss": 2.3442, + "step": 8100 + }, + { + "epoch": 0.8105, + "grad_norm": 0.839046835899353, + "learning_rate": 3.793793793793794e-05, + "loss": 2.3448, + "step": 8105 + }, + { + "epoch": 0.811, + "grad_norm": 0.8256351947784424, + "learning_rate": 3.783783783783784e-05, + "loss": 2.3415, + "step": 8110 + }, + { + "epoch": 0.8115, + "grad_norm": 0.8096026182174683, + "learning_rate": 3.7737737737737736e-05, + "loss": 2.3541, + "step": 8115 + }, + { + "epoch": 0.812, + "grad_norm": 0.8799003958702087, + "learning_rate": 3.763763763763764e-05, + "loss": 2.359, + "step": 8120 + }, + { + "epoch": 0.8125, + "grad_norm": 0.8653494119644165, + "learning_rate": 3.7537537537537536e-05, + "loss": 2.3481, + "step": 8125 + }, + { + "epoch": 0.813, + "grad_norm": 0.8147699236869812, + "learning_rate": 3.7437437437437436e-05, + "loss": 2.3438, + "step": 8130 + }, + { + "epoch": 0.8135, + "grad_norm": 0.9093450307846069, + "learning_rate": 3.733733733733734e-05, + "loss": 2.3618, + "step": 8135 + }, + { + "epoch": 0.814, + "grad_norm": 0.8373345136642456, + "learning_rate": 3.7237237237237236e-05, + "loss": 2.3646, + "step": 8140 + }, + { + "epoch": 0.8145, + "grad_norm": 0.7906237840652466, + "learning_rate": 3.713713713713714e-05, + "loss": 2.3572, + "step": 8145 + }, + { + "epoch": 0.815, + "grad_norm": 0.8436282873153687, + "learning_rate": 3.7037037037037037e-05, + "loss": 2.3573, + "step": 8150 + }, + { + "epoch": 0.8155, + "grad_norm": 0.8746330738067627, + "learning_rate": 3.693693693693694e-05, + "loss": 2.3511, + "step": 8155 + }, + { + "epoch": 0.816, + "grad_norm": 0.8541123867034912, + "learning_rate": 3.6836836836836844e-05, + "loss": 2.3531, + "step": 8160 + }, + { + "epoch": 0.8165, + "grad_norm": 0.8279290199279785, + "learning_rate": 3.673673673673674e-05, + "loss": 2.3557, + "step": 8165 + }, + { + "epoch": 0.817, + "grad_norm": 0.8584079146385193, + "learning_rate": 3.663663663663664e-05, + "loss": 2.3309, + "step": 8170 + }, + { + "epoch": 0.8175, + "grad_norm": 0.8298118710517883, + "learning_rate": 3.653653653653654e-05, + "loss": 2.3279, + "step": 8175 + }, + { + "epoch": 0.818, + "grad_norm": 0.8362030386924744, + "learning_rate": 3.643643643643644e-05, + "loss": 2.3485, + "step": 8180 + }, + { + "epoch": 0.8185, + "grad_norm": 0.7963013648986816, + "learning_rate": 3.633633633633634e-05, + "loss": 2.3488, + "step": 8185 + }, + { + "epoch": 0.819, + "grad_norm": 0.8097391724586487, + "learning_rate": 3.623623623623624e-05, + "loss": 2.323, + "step": 8190 + }, + { + "epoch": 0.8195, + "grad_norm": 0.8353894948959351, + "learning_rate": 3.613613613613614e-05, + "loss": 2.3723, + "step": 8195 + }, + { + "epoch": 0.82, + "grad_norm": 0.8266981244087219, + "learning_rate": 3.603603603603604e-05, + "loss": 2.3598, + "step": 8200 + }, + { + "epoch": 0.8205, + "grad_norm": 0.8105880618095398, + "learning_rate": 3.593593593593594e-05, + "loss": 2.3505, + "step": 8205 + }, + { + "epoch": 0.821, + "grad_norm": 0.8008158802986145, + "learning_rate": 3.583583583583583e-05, + "loss": 2.3643, + "step": 8210 + }, + { + "epoch": 0.8215, + "grad_norm": 0.7863180041313171, + "learning_rate": 3.573573573573574e-05, + "loss": 2.3433, + "step": 8215 + }, + { + "epoch": 0.822, + "grad_norm": 0.8484141826629639, + "learning_rate": 3.563563563563564e-05, + "loss": 2.3515, + "step": 8220 + }, + { + "epoch": 0.8225, + "grad_norm": 0.8206436038017273, + "learning_rate": 3.553553553553554e-05, + "loss": 2.351, + "step": 8225 + }, + { + "epoch": 0.823, + "grad_norm": 0.7947841882705688, + "learning_rate": 3.543543543543544e-05, + "loss": 2.3378, + "step": 8230 + }, + { + "epoch": 0.8235, + "grad_norm": 0.8877801299095154, + "learning_rate": 3.533533533533533e-05, + "loss": 2.365, + "step": 8235 + }, + { + "epoch": 0.824, + "grad_norm": 0.8179998397827148, + "learning_rate": 3.523523523523524e-05, + "loss": 2.3607, + "step": 8240 + }, + { + "epoch": 0.8245, + "grad_norm": 0.8523365259170532, + "learning_rate": 3.513513513513514e-05, + "loss": 2.3448, + "step": 8245 + }, + { + "epoch": 0.825, + "grad_norm": 0.8639063835144043, + "learning_rate": 3.503503503503503e-05, + "loss": 2.3713, + "step": 8250 + }, + { + "epoch": 0.8255, + "grad_norm": 0.9359018206596375, + "learning_rate": 3.493493493493494e-05, + "loss": 2.3531, + "step": 8255 + }, + { + "epoch": 0.826, + "grad_norm": 0.8109295964241028, + "learning_rate": 3.483483483483483e-05, + "loss": 2.3528, + "step": 8260 + }, + { + "epoch": 0.8265, + "grad_norm": 0.8261359930038452, + "learning_rate": 3.473473473473473e-05, + "loss": 2.3829, + "step": 8265 + }, + { + "epoch": 0.827, + "grad_norm": 0.8504651784896851, + "learning_rate": 3.463463463463464e-05, + "loss": 2.3537, + "step": 8270 + }, + { + "epoch": 0.8275, + "grad_norm": 0.8876836895942688, + "learning_rate": 3.453453453453453e-05, + "loss": 2.3446, + "step": 8275 + }, + { + "epoch": 0.828, + "grad_norm": 0.8673462867736816, + "learning_rate": 3.443443443443444e-05, + "loss": 2.3826, + "step": 8280 + }, + { + "epoch": 0.8285, + "grad_norm": 0.8119297027587891, + "learning_rate": 3.4334334334334334e-05, + "loss": 2.3621, + "step": 8285 + }, + { + "epoch": 0.829, + "grad_norm": 0.8265256881713867, + "learning_rate": 3.4234234234234234e-05, + "loss": 2.3526, + "step": 8290 + }, + { + "epoch": 0.8295, + "grad_norm": 0.7955986857414246, + "learning_rate": 3.413413413413414e-05, + "loss": 2.3401, + "step": 8295 + }, + { + "epoch": 0.83, + "grad_norm": 0.8546925783157349, + "learning_rate": 3.4034034034034034e-05, + "loss": 2.3677, + "step": 8300 + }, + { + "epoch": 0.8305, + "grad_norm": 0.8466092348098755, + "learning_rate": 3.3933933933933934e-05, + "loss": 2.3298, + "step": 8305 + }, + { + "epoch": 0.831, + "grad_norm": 0.8166059851646423, + "learning_rate": 3.3833833833833834e-05, + "loss": 2.3388, + "step": 8310 + }, + { + "epoch": 0.8315, + "grad_norm": 0.8029240369796753, + "learning_rate": 3.3733733733733734e-05, + "loss": 2.3482, + "step": 8315 + }, + { + "epoch": 0.832, + "grad_norm": 0.8286939263343811, + "learning_rate": 3.3633633633633635e-05, + "loss": 2.3453, + "step": 8320 + }, + { + "epoch": 0.8325, + "grad_norm": 0.8886439204216003, + "learning_rate": 3.3533533533533535e-05, + "loss": 2.3338, + "step": 8325 + }, + { + "epoch": 0.833, + "grad_norm": 0.841537356376648, + "learning_rate": 3.3433433433433435e-05, + "loss": 2.3453, + "step": 8330 + }, + { + "epoch": 0.8335, + "grad_norm": 0.7937127947807312, + "learning_rate": 3.3333333333333335e-05, + "loss": 2.3659, + "step": 8335 + }, + { + "epoch": 0.834, + "grad_norm": 0.8088583946228027, + "learning_rate": 3.3233233233233235e-05, + "loss": 2.343, + "step": 8340 + }, + { + "epoch": 0.8345, + "grad_norm": 0.8171084523200989, + "learning_rate": 3.3133133133133135e-05, + "loss": 2.3551, + "step": 8345 + }, + { + "epoch": 0.835, + "grad_norm": 0.8256644606590271, + "learning_rate": 3.3033033033033035e-05, + "loss": 2.3623, + "step": 8350 + }, + { + "epoch": 0.8355, + "grad_norm": 0.8347882032394409, + "learning_rate": 3.2932932932932935e-05, + "loss": 2.3551, + "step": 8355 + }, + { + "epoch": 0.836, + "grad_norm": 0.818671464920044, + "learning_rate": 3.2832832832832836e-05, + "loss": 2.3321, + "step": 8360 + }, + { + "epoch": 0.8365, + "grad_norm": 0.8162476420402527, + "learning_rate": 3.2732732732732736e-05, + "loss": 2.3582, + "step": 8365 + }, + { + "epoch": 0.837, + "grad_norm": 0.8154727220535278, + "learning_rate": 3.263263263263263e-05, + "loss": 2.3394, + "step": 8370 + }, + { + "epoch": 0.8375, + "grad_norm": 0.8620063662528992, + "learning_rate": 3.2532532532532536e-05, + "loss": 2.321, + "step": 8375 + }, + { + "epoch": 0.838, + "grad_norm": 0.8535669445991516, + "learning_rate": 3.2432432432432436e-05, + "loss": 2.337, + "step": 8380 + }, + { + "epoch": 0.8385, + "grad_norm": 0.8434451222419739, + "learning_rate": 3.233233233233233e-05, + "loss": 2.3599, + "step": 8385 + }, + { + "epoch": 0.839, + "grad_norm": 0.8340520262718201, + "learning_rate": 3.2232232232232236e-05, + "loss": 2.3546, + "step": 8390 + }, + { + "epoch": 0.8395, + "grad_norm": 0.8047171235084534, + "learning_rate": 3.213213213213213e-05, + "loss": 2.3571, + "step": 8395 + }, + { + "epoch": 0.84, + "grad_norm": 0.811255156993866, + "learning_rate": 3.203203203203203e-05, + "loss": 2.3472, + "step": 8400 + }, + { + "epoch": 0.8405, + "grad_norm": 0.8495455980300903, + "learning_rate": 3.193193193193194e-05, + "loss": 2.3573, + "step": 8405 + }, + { + "epoch": 0.841, + "grad_norm": 0.8299034237861633, + "learning_rate": 3.183183183183183e-05, + "loss": 2.318, + "step": 8410 + }, + { + "epoch": 0.8415, + "grad_norm": 0.8490227460861206, + "learning_rate": 3.173173173173174e-05, + "loss": 2.35, + "step": 8415 + }, + { + "epoch": 0.842, + "grad_norm": 0.8307939171791077, + "learning_rate": 3.163163163163163e-05, + "loss": 2.32, + "step": 8420 + }, + { + "epoch": 0.8425, + "grad_norm": 0.8129630088806152, + "learning_rate": 3.153153153153153e-05, + "loss": 2.3439, + "step": 8425 + }, + { + "epoch": 0.843, + "grad_norm": 0.8450644016265869, + "learning_rate": 3.143143143143144e-05, + "loss": 2.3265, + "step": 8430 + }, + { + "epoch": 0.8435, + "grad_norm": 0.8025068640708923, + "learning_rate": 3.133133133133133e-05, + "loss": 2.3517, + "step": 8435 + }, + { + "epoch": 0.844, + "grad_norm": 0.8366633653640747, + "learning_rate": 3.123123123123123e-05, + "loss": 2.3484, + "step": 8440 + }, + { + "epoch": 0.8445, + "grad_norm": 0.8080820441246033, + "learning_rate": 3.113113113113113e-05, + "loss": 2.3557, + "step": 8445 + }, + { + "epoch": 0.845, + "grad_norm": 0.8732795715332031, + "learning_rate": 3.103103103103103e-05, + "loss": 2.3648, + "step": 8450 + }, + { + "epoch": 0.8455, + "grad_norm": 0.8327799439430237, + "learning_rate": 3.093093093093093e-05, + "loss": 2.3396, + "step": 8455 + }, + { + "epoch": 0.846, + "grad_norm": 0.7959544062614441, + "learning_rate": 3.083083083083083e-05, + "loss": 2.337, + "step": 8460 + }, + { + "epoch": 0.8465, + "grad_norm": 0.8220170140266418, + "learning_rate": 3.073073073073073e-05, + "loss": 2.3477, + "step": 8465 + }, + { + "epoch": 0.847, + "grad_norm": 0.8160591721534729, + "learning_rate": 3.063063063063063e-05, + "loss": 2.3486, + "step": 8470 + }, + { + "epoch": 0.8475, + "grad_norm": 0.8442284464836121, + "learning_rate": 3.053053053053053e-05, + "loss": 2.342, + "step": 8475 + }, + { + "epoch": 0.848, + "grad_norm": 0.8980335593223572, + "learning_rate": 3.0430430430430436e-05, + "loss": 2.3571, + "step": 8480 + }, + { + "epoch": 0.8485, + "grad_norm": 0.8186134696006775, + "learning_rate": 3.0330330330330332e-05, + "loss": 2.3426, + "step": 8485 + }, + { + "epoch": 0.849, + "grad_norm": 0.8173196315765381, + "learning_rate": 3.0230230230230232e-05, + "loss": 2.3667, + "step": 8490 + }, + { + "epoch": 0.8495, + "grad_norm": 0.8508972525596619, + "learning_rate": 3.013013013013013e-05, + "loss": 2.3738, + "step": 8495 + }, + { + "epoch": 0.85, + "grad_norm": 0.830033004283905, + "learning_rate": 3.0030030030030033e-05, + "loss": 2.3554, + "step": 8500 + }, + { + "epoch": 0.8505, + "grad_norm": 0.8232085704803467, + "learning_rate": 2.9929929929929933e-05, + "loss": 2.3392, + "step": 8505 + }, + { + "epoch": 0.851, + "grad_norm": 0.8099601864814758, + "learning_rate": 2.982982982982983e-05, + "loss": 2.3517, + "step": 8510 + }, + { + "epoch": 0.8515, + "grad_norm": 0.8356584310531616, + "learning_rate": 2.9729729729729733e-05, + "loss": 2.3664, + "step": 8515 + }, + { + "epoch": 0.852, + "grad_norm": 0.8594179153442383, + "learning_rate": 2.962962962962963e-05, + "loss": 2.3585, + "step": 8520 + }, + { + "epoch": 0.8525, + "grad_norm": 0.8841564059257507, + "learning_rate": 2.952952952952953e-05, + "loss": 2.3322, + "step": 8525 + }, + { + "epoch": 0.853, + "grad_norm": 0.825693666934967, + "learning_rate": 2.9429429429429427e-05, + "loss": 2.3583, + "step": 8530 + }, + { + "epoch": 0.8535, + "grad_norm": 0.8264659643173218, + "learning_rate": 2.932932932932933e-05, + "loss": 2.3435, + "step": 8535 + }, + { + "epoch": 0.854, + "grad_norm": 0.8185012936592102, + "learning_rate": 2.9229229229229234e-05, + "loss": 2.3569, + "step": 8540 + }, + { + "epoch": 0.8545, + "grad_norm": 0.8264207243919373, + "learning_rate": 2.912912912912913e-05, + "loss": 2.36, + "step": 8545 + }, + { + "epoch": 0.855, + "grad_norm": 0.8175407648086548, + "learning_rate": 2.902902902902903e-05, + "loss": 2.3549, + "step": 8550 + }, + { + "epoch": 0.8555, + "grad_norm": 0.8118422031402588, + "learning_rate": 2.8928928928928928e-05, + "loss": 2.3345, + "step": 8555 + }, + { + "epoch": 0.856, + "grad_norm": 0.8219888210296631, + "learning_rate": 2.882882882882883e-05, + "loss": 2.3319, + "step": 8560 + }, + { + "epoch": 0.8565, + "grad_norm": 0.868126392364502, + "learning_rate": 2.872872872872873e-05, + "loss": 2.3567, + "step": 8565 + }, + { + "epoch": 0.857, + "grad_norm": 0.8113792538642883, + "learning_rate": 2.8628628628628628e-05, + "loss": 2.3326, + "step": 8570 + }, + { + "epoch": 0.8575, + "grad_norm": 0.8458234667778015, + "learning_rate": 2.852852852852853e-05, + "loss": 2.3452, + "step": 8575 + }, + { + "epoch": 0.858, + "grad_norm": 0.8528864979743958, + "learning_rate": 2.8428428428428428e-05, + "loss": 2.3343, + "step": 8580 + }, + { + "epoch": 0.8585, + "grad_norm": 0.8229609131813049, + "learning_rate": 2.832832832832833e-05, + "loss": 2.3349, + "step": 8585 + }, + { + "epoch": 0.859, + "grad_norm": 0.8314008712768555, + "learning_rate": 2.8228228228228232e-05, + "loss": 2.3489, + "step": 8590 + }, + { + "epoch": 0.8595, + "grad_norm": 0.8441357016563416, + "learning_rate": 2.812812812812813e-05, + "loss": 2.3424, + "step": 8595 + }, + { + "epoch": 0.86, + "grad_norm": 0.811282753944397, + "learning_rate": 2.8028028028028032e-05, + "loss": 2.3385, + "step": 8600 + }, + { + "epoch": 0.8605, + "grad_norm": 0.8737632036209106, + "learning_rate": 2.7927927927927926e-05, + "loss": 2.3374, + "step": 8605 + }, + { + "epoch": 0.861, + "grad_norm": 0.8345777988433838, + "learning_rate": 2.782782782782783e-05, + "loss": 2.3392, + "step": 8610 + }, + { + "epoch": 0.8615, + "grad_norm": 0.8158997297286987, + "learning_rate": 2.7727727727727733e-05, + "loss": 2.33, + "step": 8615 + }, + { + "epoch": 0.862, + "grad_norm": 0.8565182685852051, + "learning_rate": 2.762762762762763e-05, + "loss": 2.3582, + "step": 8620 + }, + { + "epoch": 0.8625, + "grad_norm": 0.8362213373184204, + "learning_rate": 2.752752752752753e-05, + "loss": 2.3434, + "step": 8625 + }, + { + "epoch": 0.863, + "grad_norm": 0.8124709725379944, + "learning_rate": 2.7427427427427426e-05, + "loss": 2.3546, + "step": 8630 + }, + { + "epoch": 0.8635, + "grad_norm": 0.8765237927436829, + "learning_rate": 2.732732732732733e-05, + "loss": 2.3503, + "step": 8635 + }, + { + "epoch": 0.864, + "grad_norm": 0.8562377095222473, + "learning_rate": 2.722722722722723e-05, + "loss": 2.3635, + "step": 8640 + }, + { + "epoch": 0.8645, + "grad_norm": 0.862598180770874, + "learning_rate": 2.7127127127127127e-05, + "loss": 2.3507, + "step": 8645 + }, + { + "epoch": 0.865, + "grad_norm": 0.8522788286209106, + "learning_rate": 2.702702702702703e-05, + "loss": 2.3443, + "step": 8650 + }, + { + "epoch": 0.8655, + "grad_norm": 0.8473895192146301, + "learning_rate": 2.6926926926926927e-05, + "loss": 2.3399, + "step": 8655 + }, + { + "epoch": 0.866, + "grad_norm": 0.8129273056983948, + "learning_rate": 2.6826826826826827e-05, + "loss": 2.3579, + "step": 8660 + }, + { + "epoch": 0.8665, + "grad_norm": 0.8594850897789001, + "learning_rate": 2.672672672672673e-05, + "loss": 2.3539, + "step": 8665 + }, + { + "epoch": 0.867, + "grad_norm": 0.831794798374176, + "learning_rate": 2.6626626626626627e-05, + "loss": 2.3342, + "step": 8670 + }, + { + "epoch": 0.8675, + "grad_norm": 0.8447133302688599, + "learning_rate": 2.652652652652653e-05, + "loss": 2.3403, + "step": 8675 + }, + { + "epoch": 0.868, + "grad_norm": 0.8298300504684448, + "learning_rate": 2.6426426426426428e-05, + "loss": 2.3362, + "step": 8680 + }, + { + "epoch": 0.8685, + "grad_norm": 0.8596557974815369, + "learning_rate": 2.6326326326326328e-05, + "loss": 2.3545, + "step": 8685 + }, + { + "epoch": 0.869, + "grad_norm": 0.8677126169204712, + "learning_rate": 2.6226226226226224e-05, + "loss": 2.3624, + "step": 8690 + }, + { + "epoch": 0.8695, + "grad_norm": 0.8112132549285889, + "learning_rate": 2.6126126126126128e-05, + "loss": 2.3345, + "step": 8695 + }, + { + "epoch": 0.87, + "grad_norm": 0.87315833568573, + "learning_rate": 2.6026026026026028e-05, + "loss": 2.3319, + "step": 8700 + }, + { + "epoch": 0.8705, + "grad_norm": 0.864588737487793, + "learning_rate": 2.5925925925925925e-05, + "loss": 2.3356, + "step": 8705 + }, + { + "epoch": 0.871, + "grad_norm": 0.8347481489181519, + "learning_rate": 2.582582582582583e-05, + "loss": 2.32, + "step": 8710 + }, + { + "epoch": 0.8715, + "grad_norm": 0.8150578141212463, + "learning_rate": 2.5725725725725725e-05, + "loss": 2.3403, + "step": 8715 + }, + { + "epoch": 0.872, + "grad_norm": 0.8222635388374329, + "learning_rate": 2.5625625625625625e-05, + "loss": 2.3328, + "step": 8720 + }, + { + "epoch": 0.8725, + "grad_norm": 0.8109158277511597, + "learning_rate": 2.552552552552553e-05, + "loss": 2.3558, + "step": 8725 + }, + { + "epoch": 0.873, + "grad_norm": 0.8342311382293701, + "learning_rate": 2.5425425425425426e-05, + "loss": 2.337, + "step": 8730 + }, + { + "epoch": 0.8735, + "grad_norm": 0.8757238388061523, + "learning_rate": 2.532532532532533e-05, + "loss": 2.3525, + "step": 8735 + }, + { + "epoch": 0.874, + "grad_norm": 0.822337806224823, + "learning_rate": 2.5225225225225222e-05, + "loss": 2.3324, + "step": 8740 + }, + { + "epoch": 0.8745, + "grad_norm": 0.7943927645683289, + "learning_rate": 2.5125125125125126e-05, + "loss": 2.3521, + "step": 8745 + }, + { + "epoch": 0.875, + "grad_norm": 0.8191083073616028, + "learning_rate": 2.502502502502503e-05, + "loss": 2.3585, + "step": 8750 + }, + { + "epoch": 0.8755, + "grad_norm": 0.8550540208816528, + "learning_rate": 2.4924924924924926e-05, + "loss": 2.3426, + "step": 8755 + }, + { + "epoch": 0.876, + "grad_norm": 0.8050912618637085, + "learning_rate": 2.4824824824824826e-05, + "loss": 2.3643, + "step": 8760 + }, + { + "epoch": 0.8765, + "grad_norm": 0.8559862971305847, + "learning_rate": 2.4724724724724727e-05, + "loss": 2.3606, + "step": 8765 + }, + { + "epoch": 0.877, + "grad_norm": 0.8613905310630798, + "learning_rate": 2.4624624624624627e-05, + "loss": 2.3494, + "step": 8770 + }, + { + "epoch": 0.8775, + "grad_norm": 0.8286505937576294, + "learning_rate": 2.4524524524524527e-05, + "loss": 2.3506, + "step": 8775 + }, + { + "epoch": 0.878, + "grad_norm": 0.8565585613250732, + "learning_rate": 2.4424424424424424e-05, + "loss": 2.3414, + "step": 8780 + }, + { + "epoch": 0.8785, + "grad_norm": 0.8649365305900574, + "learning_rate": 2.4324324324324327e-05, + "loss": 2.3748, + "step": 8785 + }, + { + "epoch": 0.879, + "grad_norm": 0.8483036756515503, + "learning_rate": 2.4224224224224227e-05, + "loss": 2.3398, + "step": 8790 + }, + { + "epoch": 0.8795, + "grad_norm": 0.7956961989402771, + "learning_rate": 2.4124124124124124e-05, + "loss": 2.3343, + "step": 8795 + }, + { + "epoch": 0.88, + "grad_norm": 0.841417670249939, + "learning_rate": 2.4024024024024024e-05, + "loss": 2.3344, + "step": 8800 + }, + { + "epoch": 0.8805, + "grad_norm": 0.8638480305671692, + "learning_rate": 2.3923923923923924e-05, + "loss": 2.3522, + "step": 8805 + }, + { + "epoch": 0.881, + "grad_norm": 0.8249894380569458, + "learning_rate": 2.3823823823823824e-05, + "loss": 2.3368, + "step": 8810 + }, + { + "epoch": 0.8815, + "grad_norm": 0.8154436945915222, + "learning_rate": 2.3723723723723725e-05, + "loss": 2.3265, + "step": 8815 + }, + { + "epoch": 0.882, + "grad_norm": 0.8674147725105286, + "learning_rate": 2.3623623623623625e-05, + "loss": 2.3581, + "step": 8820 + }, + { + "epoch": 0.8825, + "grad_norm": 0.8114337921142578, + "learning_rate": 2.3523523523523525e-05, + "loss": 2.3431, + "step": 8825 + }, + { + "epoch": 0.883, + "grad_norm": 0.8255671262741089, + "learning_rate": 2.3423423423423425e-05, + "loss": 2.3427, + "step": 8830 + }, + { + "epoch": 0.8835, + "grad_norm": 0.8699901700019836, + "learning_rate": 2.3323323323323322e-05, + "loss": 2.342, + "step": 8835 + }, + { + "epoch": 0.884, + "grad_norm": 0.8162307143211365, + "learning_rate": 2.3223223223223225e-05, + "loss": 2.3453, + "step": 8840 + }, + { + "epoch": 0.8845, + "grad_norm": 0.8098514676094055, + "learning_rate": 2.3123123123123125e-05, + "loss": 2.3313, + "step": 8845 + }, + { + "epoch": 0.885, + "grad_norm": 0.8761820793151855, + "learning_rate": 2.3023023023023026e-05, + "loss": 2.367, + "step": 8850 + }, + { + "epoch": 0.8855, + "grad_norm": 0.8436310887336731, + "learning_rate": 2.2922922922922922e-05, + "loss": 2.3561, + "step": 8855 + }, + { + "epoch": 0.886, + "grad_norm": 0.8526544570922852, + "learning_rate": 2.2822822822822822e-05, + "loss": 2.3259, + "step": 8860 + }, + { + "epoch": 0.8865, + "grad_norm": 0.8305936455726624, + "learning_rate": 2.2722722722722726e-05, + "loss": 2.3373, + "step": 8865 + }, + { + "epoch": 0.887, + "grad_norm": 0.9209138751029968, + "learning_rate": 2.2622622622622626e-05, + "loss": 2.3439, + "step": 8870 + }, + { + "epoch": 0.8875, + "grad_norm": 0.8664165735244751, + "learning_rate": 2.2522522522522523e-05, + "loss": 2.3355, + "step": 8875 + }, + { + "epoch": 0.888, + "grad_norm": 0.8305662870407104, + "learning_rate": 2.2422422422422423e-05, + "loss": 2.3497, + "step": 8880 + }, + { + "epoch": 0.8885, + "grad_norm": 0.8392084836959839, + "learning_rate": 2.2322322322322323e-05, + "loss": 2.3306, + "step": 8885 + }, + { + "epoch": 0.889, + "grad_norm": 0.8184075355529785, + "learning_rate": 2.2222222222222223e-05, + "loss": 2.3534, + "step": 8890 + }, + { + "epoch": 0.8895, + "grad_norm": 0.8275293111801147, + "learning_rate": 2.2122122122122123e-05, + "loss": 2.345, + "step": 8895 + }, + { + "epoch": 0.89, + "grad_norm": 0.8183415532112122, + "learning_rate": 2.2022022022022024e-05, + "loss": 2.3524, + "step": 8900 + }, + { + "epoch": 0.8905, + "grad_norm": 0.8345757126808167, + "learning_rate": 2.1921921921921924e-05, + "loss": 2.3222, + "step": 8905 + }, + { + "epoch": 0.891, + "grad_norm": 0.8104347586631775, + "learning_rate": 2.1821821821821824e-05, + "loss": 2.3391, + "step": 8910 + }, + { + "epoch": 0.8915, + "grad_norm": 0.81838458776474, + "learning_rate": 2.172172172172172e-05, + "loss": 2.365, + "step": 8915 + }, + { + "epoch": 0.892, + "grad_norm": 0.8337346911430359, + "learning_rate": 2.1621621621621624e-05, + "loss": 2.3428, + "step": 8920 + }, + { + "epoch": 0.8925, + "grad_norm": 0.8469566702842712, + "learning_rate": 2.1521521521521524e-05, + "loss": 2.3555, + "step": 8925 + }, + { + "epoch": 0.893, + "grad_norm": 0.8030543923377991, + "learning_rate": 2.142142142142142e-05, + "loss": 2.3126, + "step": 8930 + }, + { + "epoch": 0.8935, + "grad_norm": 0.837141752243042, + "learning_rate": 2.132132132132132e-05, + "loss": 2.319, + "step": 8935 + }, + { + "epoch": 0.894, + "grad_norm": 0.8511247634887695, + "learning_rate": 2.122122122122122e-05, + "loss": 2.3407, + "step": 8940 + }, + { + "epoch": 0.8945, + "grad_norm": 0.8452726006507874, + "learning_rate": 2.1121121121121125e-05, + "loss": 2.3483, + "step": 8945 + }, + { + "epoch": 0.895, + "grad_norm": 0.8432291746139526, + "learning_rate": 2.102102102102102e-05, + "loss": 2.3493, + "step": 8950 + }, + { + "epoch": 0.8955, + "grad_norm": 0.8280351161956787, + "learning_rate": 2.0920920920920922e-05, + "loss": 2.3346, + "step": 8955 + }, + { + "epoch": 0.896, + "grad_norm": 0.8203386664390564, + "learning_rate": 2.0820820820820822e-05, + "loss": 2.3467, + "step": 8960 + }, + { + "epoch": 0.8965, + "grad_norm": 0.8204079270362854, + "learning_rate": 2.0720720720720722e-05, + "loss": 2.356, + "step": 8965 + }, + { + "epoch": 0.897, + "grad_norm": 0.813487708568573, + "learning_rate": 2.062062062062062e-05, + "loss": 2.3215, + "step": 8970 + }, + { + "epoch": 0.8975, + "grad_norm": 0.8271229863166809, + "learning_rate": 2.0520520520520522e-05, + "loss": 2.3555, + "step": 8975 + }, + { + "epoch": 0.898, + "grad_norm": 0.8487913608551025, + "learning_rate": 2.0420420420420422e-05, + "loss": 2.3359, + "step": 8980 + }, + { + "epoch": 0.8985, + "grad_norm": 0.836768627166748, + "learning_rate": 2.0320320320320323e-05, + "loss": 2.3498, + "step": 8985 + }, + { + "epoch": 0.899, + "grad_norm": 0.8347607254981995, + "learning_rate": 2.022022022022022e-05, + "loss": 2.317, + "step": 8990 + }, + { + "epoch": 0.8995, + "grad_norm": 0.8265148401260376, + "learning_rate": 2.012012012012012e-05, + "loss": 2.3063, + "step": 8995 + }, + { + "epoch": 0.9, + "grad_norm": 0.8346414566040039, + "learning_rate": 2.0020020020020023e-05, + "loss": 2.3368, + "step": 9000 + }, + { + "epoch": 0.9005, + "grad_norm": 0.8407677412033081, + "learning_rate": 1.9919919919919923e-05, + "loss": 2.3595, + "step": 9005 + }, + { + "epoch": 0.901, + "grad_norm": 0.8652437925338745, + "learning_rate": 1.981981981981982e-05, + "loss": 2.3462, + "step": 9010 + }, + { + "epoch": 0.9015, + "grad_norm": 0.851755678653717, + "learning_rate": 1.971971971971972e-05, + "loss": 2.343, + "step": 9015 + }, + { + "epoch": 0.902, + "grad_norm": 0.844289243221283, + "learning_rate": 1.961961961961962e-05, + "loss": 2.3494, + "step": 9020 + }, + { + "epoch": 0.9025, + "grad_norm": 0.8320977687835693, + "learning_rate": 1.951951951951952e-05, + "loss": 2.3311, + "step": 9025 + }, + { + "epoch": 0.903, + "grad_norm": 0.8191105127334595, + "learning_rate": 1.941941941941942e-05, + "loss": 2.3323, + "step": 9030 + }, + { + "epoch": 0.9035, + "grad_norm": 0.8393972516059875, + "learning_rate": 1.931931931931932e-05, + "loss": 2.3409, + "step": 9035 + }, + { + "epoch": 0.904, + "grad_norm": 0.8605306148529053, + "learning_rate": 1.921921921921922e-05, + "loss": 2.3294, + "step": 9040 + }, + { + "epoch": 0.9045, + "grad_norm": 0.8271490335464478, + "learning_rate": 1.911911911911912e-05, + "loss": 2.3292, + "step": 9045 + }, + { + "epoch": 0.905, + "grad_norm": 0.8311194777488708, + "learning_rate": 1.9019019019019018e-05, + "loss": 2.3573, + "step": 9050 + }, + { + "epoch": 0.9055, + "grad_norm": 0.8212003111839294, + "learning_rate": 1.891891891891892e-05, + "loss": 2.3319, + "step": 9055 + }, + { + "epoch": 0.906, + "grad_norm": 0.8189734816551208, + "learning_rate": 1.881881881881882e-05, + "loss": 2.3408, + "step": 9060 + }, + { + "epoch": 0.9065, + "grad_norm": 0.8122197389602661, + "learning_rate": 1.8718718718718718e-05, + "loss": 2.3191, + "step": 9065 + }, + { + "epoch": 0.907, + "grad_norm": 0.8065931797027588, + "learning_rate": 1.8618618618618618e-05, + "loss": 2.3578, + "step": 9070 + }, + { + "epoch": 0.9075, + "grad_norm": 0.8327513337135315, + "learning_rate": 1.8518518518518518e-05, + "loss": 2.3714, + "step": 9075 + }, + { + "epoch": 0.908, + "grad_norm": 0.9134345650672913, + "learning_rate": 1.8418418418418422e-05, + "loss": 2.3476, + "step": 9080 + }, + { + "epoch": 0.9085, + "grad_norm": 0.8555792570114136, + "learning_rate": 1.831831831831832e-05, + "loss": 2.3617, + "step": 9085 + }, + { + "epoch": 0.909, + "grad_norm": 0.839600682258606, + "learning_rate": 1.821821821821822e-05, + "loss": 2.3562, + "step": 9090 + }, + { + "epoch": 0.9095, + "grad_norm": 0.8846326470375061, + "learning_rate": 1.811811811811812e-05, + "loss": 2.3693, + "step": 9095 + }, + { + "epoch": 0.91, + "grad_norm": 0.8199856281280518, + "learning_rate": 1.801801801801802e-05, + "loss": 2.3427, + "step": 9100 + }, + { + "epoch": 0.9105, + "grad_norm": 0.8347171545028687, + "learning_rate": 1.7917917917917916e-05, + "loss": 2.3227, + "step": 9105 + }, + { + "epoch": 0.911, + "grad_norm": 0.8130427002906799, + "learning_rate": 1.781781781781782e-05, + "loss": 2.3661, + "step": 9110 + }, + { + "epoch": 0.9115, + "grad_norm": 0.8870020508766174, + "learning_rate": 1.771771771771772e-05, + "loss": 2.3422, + "step": 9115 + }, + { + "epoch": 0.912, + "grad_norm": 0.8388358354568481, + "learning_rate": 1.761761761761762e-05, + "loss": 2.3496, + "step": 9120 + }, + { + "epoch": 0.9125, + "grad_norm": 0.8320288062095642, + "learning_rate": 1.7517517517517516e-05, + "loss": 2.347, + "step": 9125 + }, + { + "epoch": 0.913, + "grad_norm": 0.8106929659843445, + "learning_rate": 1.7417417417417416e-05, + "loss": 2.3521, + "step": 9130 + }, + { + "epoch": 0.9135, + "grad_norm": 0.8142067790031433, + "learning_rate": 1.731731731731732e-05, + "loss": 2.3487, + "step": 9135 + }, + { + "epoch": 0.914, + "grad_norm": 0.8240883350372314, + "learning_rate": 1.721721721721722e-05, + "loss": 2.3328, + "step": 9140 + }, + { + "epoch": 0.9145, + "grad_norm": 0.8195868730545044, + "learning_rate": 1.7117117117117117e-05, + "loss": 2.3483, + "step": 9145 + }, + { + "epoch": 0.915, + "grad_norm": 0.847511887550354, + "learning_rate": 1.7017017017017017e-05, + "loss": 2.3457, + "step": 9150 + }, + { + "epoch": 0.9155, + "grad_norm": 0.8567244410514832, + "learning_rate": 1.6916916916916917e-05, + "loss": 2.3464, + "step": 9155 + }, + { + "epoch": 0.916, + "grad_norm": 0.8341563940048218, + "learning_rate": 1.6816816816816817e-05, + "loss": 2.3438, + "step": 9160 + }, + { + "epoch": 0.9165, + "grad_norm": 0.8154423236846924, + "learning_rate": 1.6716716716716717e-05, + "loss": 2.348, + "step": 9165 + }, + { + "epoch": 0.917, + "grad_norm": 0.7971596717834473, + "learning_rate": 1.6616616616616618e-05, + "loss": 2.3397, + "step": 9170 + }, + { + "epoch": 0.9175, + "grad_norm": 0.8392190337181091, + "learning_rate": 1.6516516516516518e-05, + "loss": 2.3508, + "step": 9175 + }, + { + "epoch": 0.918, + "grad_norm": 0.8365655541419983, + "learning_rate": 1.6416416416416418e-05, + "loss": 2.352, + "step": 9180 + }, + { + "epoch": 0.9185, + "grad_norm": 0.8264891505241394, + "learning_rate": 1.6316316316316315e-05, + "loss": 2.3542, + "step": 9185 + }, + { + "epoch": 0.919, + "grad_norm": 0.810056746006012, + "learning_rate": 1.6216216216216218e-05, + "loss": 2.2953, + "step": 9190 + }, + { + "epoch": 0.9195, + "grad_norm": 0.850010097026825, + "learning_rate": 1.6116116116116118e-05, + "loss": 2.3608, + "step": 9195 + }, + { + "epoch": 0.92, + "grad_norm": 0.8388724327087402, + "learning_rate": 1.6016016016016015e-05, + "loss": 2.3332, + "step": 9200 + }, + { + "epoch": 0.9205, + "grad_norm": 0.814441442489624, + "learning_rate": 1.5915915915915915e-05, + "loss": 2.3209, + "step": 9205 + }, + { + "epoch": 0.921, + "grad_norm": 0.8317567706108093, + "learning_rate": 1.5815815815815815e-05, + "loss": 2.367, + "step": 9210 + }, + { + "epoch": 0.9215, + "grad_norm": 0.806183934211731, + "learning_rate": 1.571571571571572e-05, + "loss": 2.3551, + "step": 9215 + }, + { + "epoch": 0.922, + "grad_norm": 0.7914506793022156, + "learning_rate": 1.5615615615615616e-05, + "loss": 2.3316, + "step": 9220 + }, + { + "epoch": 0.9225, + "grad_norm": 0.8459283709526062, + "learning_rate": 1.5515515515515516e-05, + "loss": 2.348, + "step": 9225 + }, + { + "epoch": 0.923, + "grad_norm": 0.8252323269844055, + "learning_rate": 1.5415415415415416e-05, + "loss": 2.3233, + "step": 9230 + }, + { + "epoch": 0.9235, + "grad_norm": 0.8866086006164551, + "learning_rate": 1.5315315315315316e-05, + "loss": 2.3458, + "step": 9235 + }, + { + "epoch": 0.924, + "grad_norm": 0.8268254399299622, + "learning_rate": 1.5215215215215218e-05, + "loss": 2.3363, + "step": 9240 + }, + { + "epoch": 0.9245, + "grad_norm": 0.8354853391647339, + "learning_rate": 1.5115115115115116e-05, + "loss": 2.3398, + "step": 9245 + }, + { + "epoch": 0.925, + "grad_norm": 0.851127028465271, + "learning_rate": 1.5015015015015016e-05, + "loss": 2.3592, + "step": 9250 + }, + { + "epoch": 0.9255, + "grad_norm": 0.8615062236785889, + "learning_rate": 1.4914914914914915e-05, + "loss": 2.3281, + "step": 9255 + }, + { + "epoch": 0.926, + "grad_norm": 0.8572158813476562, + "learning_rate": 1.4814814814814815e-05, + "loss": 2.3355, + "step": 9260 + }, + { + "epoch": 0.9265, + "grad_norm": 0.8364690542221069, + "learning_rate": 1.4714714714714713e-05, + "loss": 2.3378, + "step": 9265 + }, + { + "epoch": 0.927, + "grad_norm": 0.8171463012695312, + "learning_rate": 1.4614614614614617e-05, + "loss": 2.3292, + "step": 9270 + }, + { + "epoch": 0.9275, + "grad_norm": 0.8491124510765076, + "learning_rate": 1.4514514514514515e-05, + "loss": 2.3279, + "step": 9275 + }, + { + "epoch": 0.928, + "grad_norm": 0.9891765117645264, + "learning_rate": 1.4414414414414416e-05, + "loss": 2.361, + "step": 9280 + }, + { + "epoch": 0.9285, + "grad_norm": 0.8450509905815125, + "learning_rate": 1.4314314314314314e-05, + "loss": 2.3326, + "step": 9285 + }, + { + "epoch": 0.929, + "grad_norm": 0.8077675700187683, + "learning_rate": 1.4214214214214214e-05, + "loss": 2.3386, + "step": 9290 + }, + { + "epoch": 0.9295, + "grad_norm": 0.8057301640510559, + "learning_rate": 1.4114114114114116e-05, + "loss": 2.3447, + "step": 9295 + }, + { + "epoch": 0.93, + "grad_norm": 0.8298118114471436, + "learning_rate": 1.4014014014014016e-05, + "loss": 2.3597, + "step": 9300 + }, + { + "epoch": 0.9305, + "grad_norm": 0.8423778414726257, + "learning_rate": 1.3913913913913915e-05, + "loss": 2.3413, + "step": 9305 + }, + { + "epoch": 0.931, + "grad_norm": 0.8156774044036865, + "learning_rate": 1.3813813813813815e-05, + "loss": 2.3265, + "step": 9310 + }, + { + "epoch": 0.9315, + "grad_norm": 0.8573948740959167, + "learning_rate": 1.3713713713713713e-05, + "loss": 2.3454, + "step": 9315 + }, + { + "epoch": 0.932, + "grad_norm": 0.8804399371147156, + "learning_rate": 1.3613613613613615e-05, + "loss": 2.3403, + "step": 9320 + }, + { + "epoch": 0.9325, + "grad_norm": 0.8353649377822876, + "learning_rate": 1.3513513513513515e-05, + "loss": 2.3485, + "step": 9325 + }, + { + "epoch": 0.933, + "grad_norm": 0.846034824848175, + "learning_rate": 1.3413413413413414e-05, + "loss": 2.3512, + "step": 9330 + }, + { + "epoch": 0.9335, + "grad_norm": 0.8679665327072144, + "learning_rate": 1.3313313313313314e-05, + "loss": 2.3391, + "step": 9335 + }, + { + "epoch": 0.934, + "grad_norm": 0.8045667409896851, + "learning_rate": 1.3213213213213214e-05, + "loss": 2.3444, + "step": 9340 + }, + { + "epoch": 0.9345, + "grad_norm": 0.8405826687812805, + "learning_rate": 1.3113113113113112e-05, + "loss": 2.3435, + "step": 9345 + }, + { + "epoch": 0.935, + "grad_norm": 0.8193458914756775, + "learning_rate": 1.3013013013013014e-05, + "loss": 2.3224, + "step": 9350 + }, + { + "epoch": 0.9355, + "grad_norm": 0.8291559815406799, + "learning_rate": 1.2912912912912914e-05, + "loss": 2.3303, + "step": 9355 + }, + { + "epoch": 0.936, + "grad_norm": 0.8167839646339417, + "learning_rate": 1.2812812812812813e-05, + "loss": 2.3534, + "step": 9360 + }, + { + "epoch": 0.9365, + "grad_norm": 0.8425468802452087, + "learning_rate": 1.2712712712712713e-05, + "loss": 2.34, + "step": 9365 + }, + { + "epoch": 0.937, + "grad_norm": 0.8351952433586121, + "learning_rate": 1.2612612612612611e-05, + "loss": 2.3526, + "step": 9370 + }, + { + "epoch": 0.9375, + "grad_norm": 0.8092942237854004, + "learning_rate": 1.2512512512512515e-05, + "loss": 2.3304, + "step": 9375 + }, + { + "epoch": 0.938, + "grad_norm": 0.8376879692077637, + "learning_rate": 1.2412412412412413e-05, + "loss": 2.3527, + "step": 9380 + }, + { + "epoch": 0.9385, + "grad_norm": 0.8303145170211792, + "learning_rate": 1.2312312312312313e-05, + "loss": 2.3195, + "step": 9385 + }, + { + "epoch": 0.939, + "grad_norm": 0.8191754817962646, + "learning_rate": 1.2212212212212212e-05, + "loss": 2.3222, + "step": 9390 + }, + { + "epoch": 0.9395, + "grad_norm": 0.8104075193405151, + "learning_rate": 1.2112112112112114e-05, + "loss": 2.3402, + "step": 9395 + }, + { + "epoch": 0.94, + "grad_norm": 0.8076393008232117, + "learning_rate": 1.2012012012012012e-05, + "loss": 2.3364, + "step": 9400 + }, + { + "epoch": 0.9405, + "grad_norm": 0.8219597935676575, + "learning_rate": 1.1911911911911912e-05, + "loss": 2.345, + "step": 9405 + }, + { + "epoch": 0.941, + "grad_norm": 0.8121560215950012, + "learning_rate": 1.1811811811811812e-05, + "loss": 2.3112, + "step": 9410 + }, + { + "epoch": 0.9415, + "grad_norm": 0.8694724440574646, + "learning_rate": 1.1711711711711713e-05, + "loss": 2.3605, + "step": 9415 + }, + { + "epoch": 0.942, + "grad_norm": 0.8347329497337341, + "learning_rate": 1.1611611611611613e-05, + "loss": 2.3182, + "step": 9420 + }, + { + "epoch": 0.9425, + "grad_norm": 0.8236081600189209, + "learning_rate": 1.1511511511511513e-05, + "loss": 2.3468, + "step": 9425 + }, + { + "epoch": 0.943, + "grad_norm": 0.8303726315498352, + "learning_rate": 1.1411411411411411e-05, + "loss": 2.3423, + "step": 9430 + }, + { + "epoch": 0.9435, + "grad_norm": 0.8322924971580505, + "learning_rate": 1.1311311311311313e-05, + "loss": 2.3514, + "step": 9435 + }, + { + "epoch": 0.944, + "grad_norm": 0.8485186100006104, + "learning_rate": 1.1211211211211212e-05, + "loss": 2.3361, + "step": 9440 + }, + { + "epoch": 0.9445, + "grad_norm": 0.8518514633178711, + "learning_rate": 1.1111111111111112e-05, + "loss": 2.348, + "step": 9445 + }, + { + "epoch": 0.945, + "grad_norm": 0.8338407278060913, + "learning_rate": 1.1011011011011012e-05, + "loss": 2.3402, + "step": 9450 + }, + { + "epoch": 0.9455, + "grad_norm": 0.8358404636383057, + "learning_rate": 1.0910910910910912e-05, + "loss": 2.3403, + "step": 9455 + }, + { + "epoch": 0.946, + "grad_norm": 0.8189331293106079, + "learning_rate": 1.0810810810810812e-05, + "loss": 2.3367, + "step": 9460 + }, + { + "epoch": 0.9465, + "grad_norm": 0.8365352749824524, + "learning_rate": 1.071071071071071e-05, + "loss": 2.3441, + "step": 9465 + }, + { + "epoch": 0.947, + "grad_norm": 0.8106439709663391, + "learning_rate": 1.061061061061061e-05, + "loss": 2.3496, + "step": 9470 + }, + { + "epoch": 0.9475, + "grad_norm": 0.8290128707885742, + "learning_rate": 1.051051051051051e-05, + "loss": 2.3161, + "step": 9475 + }, + { + "epoch": 0.948, + "grad_norm": 0.8077024221420288, + "learning_rate": 1.0410410410410411e-05, + "loss": 2.3411, + "step": 9480 + }, + { + "epoch": 0.9485, + "grad_norm": 0.838545024394989, + "learning_rate": 1.031031031031031e-05, + "loss": 2.3505, + "step": 9485 + }, + { + "epoch": 0.949, + "grad_norm": 0.8450316190719604, + "learning_rate": 1.0210210210210211e-05, + "loss": 2.3318, + "step": 9490 + }, + { + "epoch": 0.9495, + "grad_norm": 0.8616166710853577, + "learning_rate": 1.011011011011011e-05, + "loss": 2.3206, + "step": 9495 + }, + { + "epoch": 0.95, + "grad_norm": 0.8224554657936096, + "learning_rate": 1.0010010010010011e-05, + "loss": 2.3164, + "step": 9500 + }, + { + "epoch": 0.9505, + "grad_norm": 0.8563039898872375, + "learning_rate": 9.90990990990991e-06, + "loss": 2.3529, + "step": 9505 + }, + { + "epoch": 0.951, + "grad_norm": 0.8293529748916626, + "learning_rate": 9.80980980980981e-06, + "loss": 2.3583, + "step": 9510 + }, + { + "epoch": 0.9515, + "grad_norm": 0.8387513160705566, + "learning_rate": 9.70970970970971e-06, + "loss": 2.3161, + "step": 9515 + }, + { + "epoch": 0.952, + "grad_norm": 0.834874153137207, + "learning_rate": 9.60960960960961e-06, + "loss": 2.3416, + "step": 9520 + }, + { + "epoch": 0.9525, + "grad_norm": 0.8364129066467285, + "learning_rate": 9.509509509509509e-06, + "loss": 2.3284, + "step": 9525 + }, + { + "epoch": 0.953, + "grad_norm": 0.8416669368743896, + "learning_rate": 9.40940940940941e-06, + "loss": 2.3454, + "step": 9530 + }, + { + "epoch": 0.9535, + "grad_norm": 0.8180063962936401, + "learning_rate": 9.309309309309309e-06, + "loss": 2.3561, + "step": 9535 + }, + { + "epoch": 0.954, + "grad_norm": 0.8143042325973511, + "learning_rate": 9.209209209209211e-06, + "loss": 2.3251, + "step": 9540 + }, + { + "epoch": 0.9545, + "grad_norm": 0.813728392124176, + "learning_rate": 9.10910910910911e-06, + "loss": 2.3326, + "step": 9545 + }, + { + "epoch": 0.955, + "grad_norm": 0.8583104014396667, + "learning_rate": 9.00900900900901e-06, + "loss": 2.3532, + "step": 9550 + }, + { + "epoch": 0.9555, + "grad_norm": 0.8487512469291687, + "learning_rate": 8.90890890890891e-06, + "loss": 2.3126, + "step": 9555 + }, + { + "epoch": 0.956, + "grad_norm": 0.8339818716049194, + "learning_rate": 8.80880880880881e-06, + "loss": 2.3345, + "step": 9560 + }, + { + "epoch": 0.9565, + "grad_norm": 0.834420382976532, + "learning_rate": 8.708708708708708e-06, + "loss": 2.3485, + "step": 9565 + }, + { + "epoch": 0.957, + "grad_norm": 0.859883725643158, + "learning_rate": 8.60860860860861e-06, + "loss": 2.3398, + "step": 9570 + }, + { + "epoch": 0.9575, + "grad_norm": 0.8119943141937256, + "learning_rate": 8.508508508508508e-06, + "loss": 2.3428, + "step": 9575 + }, + { + "epoch": 0.958, + "grad_norm": 0.8337917923927307, + "learning_rate": 8.408408408408409e-06, + "loss": 2.3165, + "step": 9580 + }, + { + "epoch": 0.9585, + "grad_norm": 0.8146688342094421, + "learning_rate": 8.308308308308309e-06, + "loss": 2.3449, + "step": 9585 + }, + { + "epoch": 0.959, + "grad_norm": 0.8490365147590637, + "learning_rate": 8.208208208208209e-06, + "loss": 2.3161, + "step": 9590 + }, + { + "epoch": 0.9595, + "grad_norm": 0.8450210094451904, + "learning_rate": 8.108108108108109e-06, + "loss": 2.3502, + "step": 9595 + }, + { + "epoch": 0.96, + "grad_norm": 0.8308297395706177, + "learning_rate": 8.008008008008007e-06, + "loss": 2.3125, + "step": 9600 + }, + { + "epoch": 0.9605, + "grad_norm": 0.8298580646514893, + "learning_rate": 7.907907907907908e-06, + "loss": 2.3375, + "step": 9605 + }, + { + "epoch": 0.961, + "grad_norm": 0.8202354311943054, + "learning_rate": 7.807807807807808e-06, + "loss": 2.3066, + "step": 9610 + }, + { + "epoch": 0.9615, + "grad_norm": 0.8283280730247498, + "learning_rate": 7.707707707707708e-06, + "loss": 2.3429, + "step": 9615 + }, + { + "epoch": 0.962, + "grad_norm": 0.8393738269805908, + "learning_rate": 7.607607607607609e-06, + "loss": 2.313, + "step": 9620 + }, + { + "epoch": 0.9625, + "grad_norm": 0.8319004774093628, + "learning_rate": 7.507507507507508e-06, + "loss": 2.3631, + "step": 9625 + }, + { + "epoch": 0.963, + "grad_norm": 0.8432734608650208, + "learning_rate": 7.4074074074074075e-06, + "loss": 2.3278, + "step": 9630 + }, + { + "epoch": 0.9635, + "grad_norm": 0.8351683020591736, + "learning_rate": 7.3073073073073085e-06, + "loss": 2.3359, + "step": 9635 + }, + { + "epoch": 0.964, + "grad_norm": 0.834241509437561, + "learning_rate": 7.207207207207208e-06, + "loss": 2.3358, + "step": 9640 + }, + { + "epoch": 0.9645, + "grad_norm": 0.8175002336502075, + "learning_rate": 7.107107107107107e-06, + "loss": 2.3433, + "step": 9645 + }, + { + "epoch": 0.965, + "grad_norm": 0.8678650856018066, + "learning_rate": 7.007007007007008e-06, + "loss": 2.3168, + "step": 9650 + }, + { + "epoch": 0.9655, + "grad_norm": 0.8319632411003113, + "learning_rate": 6.906906906906907e-06, + "loss": 2.3416, + "step": 9655 + }, + { + "epoch": 0.966, + "grad_norm": 0.8304513692855835, + "learning_rate": 6.8068068068068075e-06, + "loss": 2.3282, + "step": 9660 + }, + { + "epoch": 0.9665, + "grad_norm": 0.8106830716133118, + "learning_rate": 6.706706706706707e-06, + "loss": 2.31, + "step": 9665 + }, + { + "epoch": 0.967, + "grad_norm": 0.8108156323432922, + "learning_rate": 6.606606606606607e-06, + "loss": 2.3242, + "step": 9670 + }, + { + "epoch": 0.9675, + "grad_norm": 0.8338386416435242, + "learning_rate": 6.506506506506507e-06, + "loss": 2.3225, + "step": 9675 + }, + { + "epoch": 0.968, + "grad_norm": 0.8349241614341736, + "learning_rate": 6.406406406406406e-06, + "loss": 2.3267, + "step": 9680 + }, + { + "epoch": 0.9685, + "grad_norm": 0.8335773348808289, + "learning_rate": 6.306306306306306e-06, + "loss": 2.3355, + "step": 9685 + }, + { + "epoch": 0.969, + "grad_norm": 0.8067938089370728, + "learning_rate": 6.206206206206207e-06, + "loss": 2.3324, + "step": 9690 + }, + { + "epoch": 0.9695, + "grad_norm": 0.8177109360694885, + "learning_rate": 6.106106106106106e-06, + "loss": 2.3529, + "step": 9695 + }, + { + "epoch": 0.97, + "grad_norm": 0.8041896820068359, + "learning_rate": 6.006006006006006e-06, + "loss": 2.3179, + "step": 9700 + }, + { + "epoch": 0.9705, + "grad_norm": 0.818508505821228, + "learning_rate": 5.905905905905906e-06, + "loss": 2.3355, + "step": 9705 + }, + { + "epoch": 0.971, + "grad_norm": 0.8300430178642273, + "learning_rate": 5.805805805805806e-06, + "loss": 2.3316, + "step": 9710 + }, + { + "epoch": 0.9715, + "grad_norm": 0.8161868453025818, + "learning_rate": 5.705705705705706e-06, + "loss": 2.3282, + "step": 9715 + }, + { + "epoch": 0.972, + "grad_norm": 0.8113592267036438, + "learning_rate": 5.605605605605606e-06, + "loss": 2.3524, + "step": 9720 + }, + { + "epoch": 0.9725, + "grad_norm": 0.8195970058441162, + "learning_rate": 5.505505505505506e-06, + "loss": 2.321, + "step": 9725 + }, + { + "epoch": 0.973, + "grad_norm": 0.8336008191108704, + "learning_rate": 5.405405405405406e-06, + "loss": 2.3283, + "step": 9730 + }, + { + "epoch": 0.9735, + "grad_norm": 0.8411681056022644, + "learning_rate": 5.305305305305305e-06, + "loss": 2.3252, + "step": 9735 + }, + { + "epoch": 0.974, + "grad_norm": 0.8225618600845337, + "learning_rate": 5.2052052052052055e-06, + "loss": 2.3188, + "step": 9740 + }, + { + "epoch": 0.9745, + "grad_norm": 0.8509226441383362, + "learning_rate": 5.105105105105106e-06, + "loss": 2.3575, + "step": 9745 + }, + { + "epoch": 0.975, + "grad_norm": 0.8630853891372681, + "learning_rate": 5.005005005005006e-06, + "loss": 2.324, + "step": 9750 + }, + { + "epoch": 0.9755, + "grad_norm": 0.8567425608634949, + "learning_rate": 4.904904904904905e-06, + "loss": 2.3474, + "step": 9755 + }, + { + "epoch": 0.976, + "grad_norm": 0.8153373003005981, + "learning_rate": 4.804804804804805e-06, + "loss": 2.3445, + "step": 9760 + }, + { + "epoch": 0.9765, + "grad_norm": 0.8349518775939941, + "learning_rate": 4.704704704704705e-06, + "loss": 2.3057, + "step": 9765 + }, + { + "epoch": 0.977, + "grad_norm": 0.8440520167350769, + "learning_rate": 4.6046046046046055e-06, + "loss": 2.3208, + "step": 9770 + }, + { + "epoch": 0.9775, + "grad_norm": 0.8132700324058533, + "learning_rate": 4.504504504504505e-06, + "loss": 2.3367, + "step": 9775 + }, + { + "epoch": 0.978, + "grad_norm": 0.8062158226966858, + "learning_rate": 4.404404404404405e-06, + "loss": 2.312, + "step": 9780 + }, + { + "epoch": 0.9785, + "grad_norm": 0.848967969417572, + "learning_rate": 4.304304304304305e-06, + "loss": 2.3526, + "step": 9785 + }, + { + "epoch": 0.979, + "grad_norm": 0.8730021119117737, + "learning_rate": 4.204204204204204e-06, + "loss": 2.357, + "step": 9790 + }, + { + "epoch": 0.9795, + "grad_norm": 0.8056657910346985, + "learning_rate": 4.1041041041041045e-06, + "loss": 2.3621, + "step": 9795 + }, + { + "epoch": 0.98, + "grad_norm": 0.8473744988441467, + "learning_rate": 4.004004004004004e-06, + "loss": 2.335, + "step": 9800 + }, + { + "epoch": 0.9805, + "grad_norm": 0.8399832248687744, + "learning_rate": 3.903903903903904e-06, + "loss": 2.3334, + "step": 9805 + }, + { + "epoch": 0.981, + "grad_norm": 0.8139746785163879, + "learning_rate": 3.8038038038038044e-06, + "loss": 2.335, + "step": 9810 + }, + { + "epoch": 0.9815, + "grad_norm": 0.8043482899665833, + "learning_rate": 3.7037037037037037e-06, + "loss": 2.3141, + "step": 9815 + }, + { + "epoch": 0.982, + "grad_norm": 0.8388903737068176, + "learning_rate": 3.603603603603604e-06, + "loss": 2.3364, + "step": 9820 + }, + { + "epoch": 0.9825, + "grad_norm": 0.8074804544448853, + "learning_rate": 3.503503503503504e-06, + "loss": 2.3478, + "step": 9825 + }, + { + "epoch": 0.983, + "grad_norm": 0.8122521638870239, + "learning_rate": 3.4034034034034037e-06, + "loss": 2.3184, + "step": 9830 + }, + { + "epoch": 0.9835, + "grad_norm": 0.8089945912361145, + "learning_rate": 3.3033033033033035e-06, + "loss": 2.3368, + "step": 9835 + }, + { + "epoch": 0.984, + "grad_norm": 0.8560210466384888, + "learning_rate": 3.203203203203203e-06, + "loss": 2.3264, + "step": 9840 + }, + { + "epoch": 0.9845, + "grad_norm": 0.8315675258636475, + "learning_rate": 3.1031031031031033e-06, + "loss": 2.3474, + "step": 9845 + }, + { + "epoch": 0.985, + "grad_norm": 0.8220996856689453, + "learning_rate": 3.003003003003003e-06, + "loss": 2.3311, + "step": 9850 + }, + { + "epoch": 0.9855, + "grad_norm": 0.8553528785705566, + "learning_rate": 2.902902902902903e-06, + "loss": 2.3331, + "step": 9855 + }, + { + "epoch": 0.986, + "grad_norm": 0.8232652544975281, + "learning_rate": 2.802802802802803e-06, + "loss": 2.3272, + "step": 9860 + }, + { + "epoch": 0.9865, + "grad_norm": 0.8154972791671753, + "learning_rate": 2.702702702702703e-06, + "loss": 2.33, + "step": 9865 + }, + { + "epoch": 0.987, + "grad_norm": 0.7969358563423157, + "learning_rate": 2.6026026026026027e-06, + "loss": 2.3226, + "step": 9870 + }, + { + "epoch": 0.9875, + "grad_norm": 0.8221673965454102, + "learning_rate": 2.502502502502503e-06, + "loss": 2.3385, + "step": 9875 + }, + { + "epoch": 0.988, + "grad_norm": 0.8291456699371338, + "learning_rate": 2.4024024024024026e-06, + "loss": 2.3434, + "step": 9880 + }, + { + "epoch": 0.9885, + "grad_norm": 0.7976441383361816, + "learning_rate": 2.3023023023023027e-06, + "loss": 2.3119, + "step": 9885 + }, + { + "epoch": 0.989, + "grad_norm": 0.8049326539039612, + "learning_rate": 2.2022022022022024e-06, + "loss": 2.3409, + "step": 9890 + }, + { + "epoch": 0.9895, + "grad_norm": 0.8277580142021179, + "learning_rate": 2.102102102102102e-06, + "loss": 2.3349, + "step": 9895 + }, + { + "epoch": 0.99, + "grad_norm": 0.8092420101165771, + "learning_rate": 2.002002002002002e-06, + "loss": 2.3369, + "step": 9900 + }, + { + "epoch": 0.9905, + "grad_norm": 0.8332076668739319, + "learning_rate": 1.9019019019019022e-06, + "loss": 2.3319, + "step": 9905 + }, + { + "epoch": 0.991, + "grad_norm": 0.8229449391365051, + "learning_rate": 1.801801801801802e-06, + "loss": 2.3369, + "step": 9910 + }, + { + "epoch": 0.9915, + "grad_norm": 0.8201963305473328, + "learning_rate": 1.7017017017017019e-06, + "loss": 2.3482, + "step": 9915 + }, + { + "epoch": 0.992, + "grad_norm": 0.7966458797454834, + "learning_rate": 1.6016016016016016e-06, + "loss": 2.335, + "step": 9920 + }, + { + "epoch": 0.9925, + "grad_norm": 0.8265637159347534, + "learning_rate": 1.5015015015015015e-06, + "loss": 2.3531, + "step": 9925 + }, + { + "epoch": 0.993, + "grad_norm": 0.8379909992218018, + "learning_rate": 1.4014014014014014e-06, + "loss": 2.3564, + "step": 9930 + }, + { + "epoch": 0.9935, + "grad_norm": 0.8211309313774109, + "learning_rate": 1.3013013013013014e-06, + "loss": 2.3353, + "step": 9935 + }, + { + "epoch": 0.994, + "grad_norm": 0.8213915228843689, + "learning_rate": 1.2012012012012013e-06, + "loss": 2.3457, + "step": 9940 + }, + { + "epoch": 0.9945, + "grad_norm": 0.8311823606491089, + "learning_rate": 1.1011011011011012e-06, + "loss": 2.3165, + "step": 9945 + }, + { + "epoch": 0.995, + "grad_norm": 0.8197156190872192, + "learning_rate": 1.001001001001001e-06, + "loss": 2.3333, + "step": 9950 + }, + { + "epoch": 0.9955, + "grad_norm": 0.8054954409599304, + "learning_rate": 9.00900900900901e-07, + "loss": 2.3247, + "step": 9955 + }, + { + "epoch": 0.996, + "grad_norm": 0.8266953229904175, + "learning_rate": 8.008008008008008e-07, + "loss": 2.348, + "step": 9960 + }, + { + "epoch": 0.9965, + "grad_norm": 0.8368173241615295, + "learning_rate": 7.007007007007007e-07, + "loss": 2.3323, + "step": 9965 + }, + { + "epoch": 0.997, + "grad_norm": 0.7957631945610046, + "learning_rate": 6.006006006006006e-07, + "loss": 2.3362, + "step": 9970 + }, + { + "epoch": 0.9975, + "grad_norm": 0.8073971271514893, + "learning_rate": 5.005005005005005e-07, + "loss": 2.3181, + "step": 9975 + }, + { + "epoch": 0.998, + "grad_norm": 0.8300249576568604, + "learning_rate": 4.004004004004004e-07, + "loss": 2.3247, + "step": 9980 + }, + { + "epoch": 0.9985, + "grad_norm": 0.8339958190917969, + "learning_rate": 3.003003003003003e-07, + "loss": 2.3474, + "step": 9985 + }, + { + "epoch": 0.999, + "grad_norm": 0.909705400466919, + "learning_rate": 2.002002002002002e-07, + "loss": 2.3224, + "step": 9990 + }, + { + "epoch": 0.9995, + "grad_norm": 0.851557731628418, + "learning_rate": 1.001001001001001e-07, + "loss": 2.3473, + "step": 9995 + }, + { + "epoch": 1.0, + "grad_norm": 0.8165029287338257, + "learning_rate": 0.0, + "loss": 2.3496, + "step": 10000 + } + ], + "logging_steps": 5, + "max_steps": 10000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 8252377006080000.0, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +} diff --git a/tiny_llm_pretrain/checkpoint-10000/training_args.bin b/tiny_llm_pretrain/checkpoint-10000/training_args.bin new file mode 100644 index 0000000..7eb013d --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-10000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3094fcb2cbf0c2dbb4dd559e2ad79c9e24d99aeecd652bbb12aa828bc03d3da2 +size 5713 diff --git a/tiny_llm_pretrain/checkpoint-9900/config.json b/tiny_llm_pretrain/checkpoint-9900/config.json new file mode 100644 index 0000000..275950b --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/config.json @@ -0,0 +1,35 @@ +{ + "_name_or_path": "Tiny-LLM-Z-V5", + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "float32", + "eos_token_id": 2, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 512, + "initializer_range": 0.02, + "intermediate_size": 2048, + "max_position_embeddings": 512, + "max_window_layers": 28, + "mlp_bias": false, + "model_type": "qwen2", + "num_attention_heads": 8, + "num_hidden_layers": 1, + "num_key_value_heads": 8, + "pad_token_id": 3, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float32", + "transformers_version": "4.48.3", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 256 +} diff --git a/tiny_llm_pretrain/checkpoint-9900/generation_config.json b/tiny_llm_pretrain/checkpoint-9900/generation_config.json new file mode 100644 index 0000000..1df465b --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/generation_config.json @@ -0,0 +1,8 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 3, + "transformers_version": "4.48.3", + "use_cache": false +} diff --git a/tiny_llm_pretrain/checkpoint-9900/model.safetensors b/tiny_llm_pretrain/checkpoint-9900/model.safetensors new file mode 100644 index 0000000..4989f11 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b27284ac93718ba2efbfb92e1e76368cdf3eae27f6c1db5a6e83dc24c93b48a4 +size 17315288 diff --git a/tiny_llm_pretrain/checkpoint-9900/optimizer.pt b/tiny_llm_pretrain/checkpoint-9900/optimizer.pt new file mode 100644 index 0000000..808344b --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd3e7422bdaed1c99ace97a59ee33c41f5f43f6807d6c74a7a01968d6b862705 +size 34640005 diff --git a/tiny_llm_pretrain/checkpoint-9900/rng_state.pth b/tiny_llm_pretrain/checkpoint-9900/rng_state.pth new file mode 100644 index 0000000..e26bbc1 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1971a7f5a4b2dbf37c7eaedcc9ddd90b7f2853c5557f35719c1a2082903b821 +size 14455 diff --git a/tiny_llm_pretrain/checkpoint-9900/scheduler.pt b/tiny_llm_pretrain/checkpoint-9900/scheduler.pt new file mode 100644 index 0000000..7f300c4 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fa4c7a3f0413da0222033791fbd61f87fa01f48b28114defa805cbadbcde3d7c +size 1465 diff --git a/tiny_llm_pretrain/checkpoint-9900/special_tokens_map.json b/tiny_llm_pretrain/checkpoint-9900/special_tokens_map.json new file mode 100644 index 0000000..7433646 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/special_tokens_map.json @@ -0,0 +1,6 @@ +{ + "bos_token": "<|endoftext|>", + "eos_token": "<|endoftext|>", + "pad_token": "<|endoftext|>", + "unk_token": "<|endoftext|>" +} diff --git a/tiny_llm_pretrain/checkpoint-9900/tokenizer.json b/tiny_llm_pretrain/checkpoint-9900/tokenizer.json new file mode 100644 index 0000000..a34b5a5 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/tokenizer.json @@ -0,0 +1,951 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "<|im_start|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "<|im_end|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + "post_processor": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": false, + "use_regex": true + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "ignore_merges": false, + "vocab": { + "<|endoftext|>": 0, + "<|im_start|>": 1, + "<|im_end|>": 2, + "!": 3, + "\"": 4, + "#": 5, + "$": 6, + "%": 7, + "&": 8, + "'": 9, + "(": 10, + ")": 11, + "*": 12, + "+": 13, + ",": 14, + "-": 15, + ".": 16, + "/": 17, + "0": 18, + "1": 19, + "2": 20, + "3": 21, + "4": 22, + "5": 23, + "6": 24, + "7": 25, + "8": 26, + "9": 27, + ":": 28, + ";": 29, + "<": 30, + "=": 31, + ">": 32, + "?": 33, + "@": 34, + "A": 35, + "B": 36, + "C": 37, + "D": 38, + "E": 39, + "F": 40, + "G": 41, + "H": 42, + "I": 43, + "J": 44, + "K": 45, + "L": 46, + "M": 47, + "N": 48, + "O": 49, + "P": 50, + "Q": 51, + "R": 52, + "S": 53, + "T": 54, + "U": 55, + "V": 56, + "W": 57, + "X": 58, + "Y": 59, + "Z": 60, + "[": 61, + "\\": 62, + "]": 63, + "^": 64, + "_": 65, + "`": 66, + "a": 67, + "b": 68, + "c": 69, + "d": 70, + "e": 71, + "f": 72, + "g": 73, + "h": 74, + "i": 75, + "j": 76, + "k": 77, + "l": 78, + "m": 79, + "n": 80, + "o": 81, + "p": 82, + "q": 83, + "r": 84, + "s": 85, + "t": 86, + "u": 87, + "v": 88, + "w": 89, + "x": 90, + "y": 91, + "z": 92, + "{": 93, + "|": 94, + "}": 95, + "~": 96, + "Ċ": 97, + "Ġ": 98, + "Ġt": 99, + "Ġa": 100, + "in": 101, + "on": 102, + "he": 103, + "ti": 104, + "re": 105, + "Ġthe": 106, + "er": 107, + "Ġs": 108, + "Ġo": 109, + "en": 110, + "al": 111, + "Ġc": 112, + "or": 113, + "at": 114, + "tion": 115, + "es": 116, + "Ġof": 117, + "is": 118, + "Ġp": 119, + "an": 120, + "ed": 121, + "Ġf": 122, + "ar": 123, + "it": 124, + "ro": 125, + "ing": 126, + "Ġan": 127, + "Ġin": 128, + "Ġd": 129, + "Ġw": 130, + "Ġm": 131, + "ic": 132, + "le": 133, + "Ġb": 134, + "Ġand": 135, + "ation": 136, + "as": 137, + "Ġe": 138, + "el": 139, + "Ġto": 140, + "et": 141, + "ent": 142, + "Ġre": 143, + "st": 144, + "ct": 145, + "Ġth": 146, + "om": 147, + "im": 148, + "ul": 149, + "ra": 150, + "Ġn": 151, + "ve": 152, + "ly": 153, + "od": 154, + "ur": 155, + "un": 156, + "si": 157, + "ce": 158, + "Ġis": 159, + "Ġl": 160, + "Ġfor": 161, + "us": 162, + "ith": 163, + "ĠT": 164, + "ol": 165, + "Ġg": 166, + "Ġst": 167, + "Ġpro": 168, + "ch": 169, + "ow": 170, + "tic": 171, + "Ġcon": 172, + "qu": 173, + "Ġh": 174, + "per": 175, + "Ġon": 176, + "ig": 177, + "am": 178, + "res": 179, + "Ġwith": 180, + "Ġthat": 181, + "ĠW": 182, + "ver": 183, + "um": 184, + "Ġ$": 185, + "il": 186, + "Ġex": 187, + "ut": 188, + "se": 189, + "ot": 190, + "ate": 191, + "ec": 192, + "id": 193, + "em": 194, + "ity": 195, + "Ġwe": 196, + "pl": 197, + "ĠWe": 198, + "if": 199, + "Ġ(": 200, + "ab": 201, + "ge": 202, + "ĠThe": 203, + "ri": 204, + "ter": 205, + "the": 206, + "Ġal": 207, + "Ġas": 208, + "Ġbe": 209, + "Ġare": 210, + "ect": 211, + "omp": 212, + "ction": 213, + "ations": 214, + "ure": 215, + "ĠI": 216, + "Ġmod": 217, + "Ġv": 218, + "ir": 219, + "os": 220, + "Ġsu": 221, + "Ġby": 222, + "ts": 223, + "Ġsp": 224, + "pro": 225, + "und": 226, + "iz": 227, + "ac": 228, + "ical": 229, + "for": 230, + "ran": 231, + "ant": 232, + "Ġcomp": 233, + "di": 234, + "ain": 235, + "Ġwh": 236, + "ener": 237, + "ren": 238, + "rom": 239, + "Ġmodel": 240, + "Ġus": 241, + "ĠA": 242, + "Ġthis": 243, + "ist": 244, + "tive": 245, + "Ġres": 246, + "sion": 247, + "ag": 248, + "Ġde": 249, + "du": 250, + "Ġsh": 251, + "ess": 252, + "Ġat": 253, + "ĠS": 254, + "oc": 255 + }, + "merges": [ + [ + "Ġ", + "t" + ], + [ + "Ġ", + "a" + ], + [ + "i", + "n" + ], + [ + "o", + "n" + ], + [ + "h", + "e" + ], + [ + "t", + "i" + ], + [ + "r", + "e" + ], + [ + "Ġt", + "he" + ], + [ + "e", + "r" + ], + [ + "Ġ", + "s" + ], + [ + "Ġ", + "o" + ], + [ + "e", + "n" + ], + [ + "a", + "l" + ], + [ + "Ġ", + "c" + ], + [ + "o", + "r" + ], + [ + "a", + "t" + ], + [ + "ti", + "on" + ], + [ + "e", + "s" + ], + [ + "Ġo", + "f" + ], + [ + "i", + "s" + ], + [ + "Ġ", + "p" + ], + [ + "a", + "n" + ], + [ + "e", + "d" + ], + [ + "Ġ", + "f" + ], + [ + "a", + "r" + ], + [ + "i", + "t" + ], + [ + "r", + "o" + ], + [ + "in", + "g" + ], + [ + "Ġa", + "n" + ], + [ + "Ġ", + "in" + ], + [ + "Ġ", + "d" + ], + [ + "Ġ", + "w" + ], + [ + "Ġ", + "m" + ], + [ + "i", + "c" + ], + [ + "l", + "e" + ], + [ + "Ġ", + "b" + ], + [ + "Ġan", + "d" + ], + [ + "a", + "tion" + ], + [ + "a", + "s" + ], + [ + "Ġ", + "e" + ], + [ + "e", + "l" + ], + [ + "Ġt", + "o" + ], + [ + "e", + "t" + ], + [ + "en", + "t" + ], + [ + "Ġ", + "re" + ], + [ + "s", + "t" + ], + [ + "c", + "t" + ], + [ + "Ġt", + "h" + ], + [ + "o", + "m" + ], + [ + "i", + "m" + ], + [ + "u", + "l" + ], + [ + "r", + "a" + ], + [ + "Ġ", + "n" + ], + [ + "v", + "e" + ], + [ + "l", + "y" + ], + [ + "o", + "d" + ], + [ + "u", + "r" + ], + [ + "u", + "n" + ], + [ + "s", + "i" + ], + [ + "c", + "e" + ], + [ + "Ġ", + "is" + ], + [ + "Ġ", + "l" + ], + [ + "Ġf", + "or" + ], + [ + "u", + "s" + ], + [ + "it", + "h" + ], + [ + "Ġ", + "T" + ], + [ + "o", + "l" + ], + [ + "Ġ", + "g" + ], + [ + "Ġs", + "t" + ], + [ + "Ġp", + "ro" + ], + [ + "c", + "h" + ], + [ + "o", + "w" + ], + [ + "ti", + "c" + ], + [ + "Ġc", + "on" + ], + [ + "q", + "u" + ], + [ + "Ġ", + "h" + ], + [ + "p", + "er" + ], + [ + "Ġ", + "on" + ], + [ + "i", + "g" + ], + [ + "a", + "m" + ], + [ + "re", + "s" + ], + [ + "Ġw", + "ith" + ], + [ + "Ġth", + "at" + ], + [ + "Ġ", + "W" + ], + [ + "v", + "er" + ], + [ + "u", + "m" + ], + [ + "Ġ", + "$" + ], + [ + "i", + "l" + ], + [ + "Ġe", + "x" + ], + [ + "u", + "t" + ], + [ + "s", + "e" + ], + [ + "o", + "t" + ], + [ + "at", + "e" + ], + [ + "e", + "c" + ], + [ + "i", + "d" + ], + [ + "e", + "m" + ], + [ + "it", + "y" + ], + [ + "Ġw", + "e" + ], + [ + "p", + "l" + ], + [ + "ĠW", + "e" + ], + [ + "i", + "f" + ], + [ + "Ġ", + "(" + ], + [ + "a", + "b" + ], + [ + "g", + "e" + ], + [ + "ĠT", + "he" + ], + [ + "r", + "i" + ], + [ + "t", + "er" + ], + [ + "t", + "he" + ], + [ + "Ġa", + "l" + ], + [ + "Ġa", + "s" + ], + [ + "Ġb", + "e" + ], + [ + "Ġa", + "re" + ], + [ + "e", + "ct" + ], + [ + "om", + "p" + ], + [ + "c", + "tion" + ], + [ + "ation", + "s" + ], + [ + "u", + "re" + ], + [ + "Ġ", + "I" + ], + [ + "Ġm", + "od" + ], + [ + "Ġ", + "v" + ], + [ + "i", + "r" + ], + [ + "o", + "s" + ], + [ + "Ġs", + "u" + ], + [ + "Ġb", + "y" + ], + [ + "t", + "s" + ], + [ + "Ġs", + "p" + ], + [ + "p", + "ro" + ], + [ + "un", + "d" + ], + [ + "i", + "z" + ], + [ + "a", + "c" + ], + [ + "ic", + "al" + ], + [ + "f", + "or" + ], + [ + "r", + "an" + ], + [ + "an", + "t" + ], + [ + "Ġc", + "omp" + ], + [ + "d", + "i" + ], + [ + "a", + "in" + ], + [ + "Ġw", + "h" + ], + [ + "en", + "er" + ], + [ + "re", + "n" + ], + [ + "ro", + "m" + ], + [ + "Ġmod", + "el" + ], + [ + "Ġ", + "us" + ], + [ + "Ġ", + "A" + ], + [ + "Ġth", + "is" + ], + [ + "is", + "t" + ], + [ + "ti", + "ve" + ], + [ + "Ġre", + "s" + ], + [ + "si", + "on" + ], + [ + "a", + "g" + ], + [ + "Ġd", + "e" + ], + [ + "d", + "u" + ], + [ + "Ġs", + "h" + ], + [ + "es", + "s" + ], + [ + "Ġa", + "t" + ], + [ + "Ġ", + "S" + ], + [ + "o", + "c" + ] + ] + } +} \ No newline at end of file diff --git a/tiny_llm_pretrain/checkpoint-9900/tokenizer_config.json b/tiny_llm_pretrain/checkpoint-9900/tokenizer_config.json new file mode 100644 index 0000000..de8a4d6 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/tokenizer_config.json @@ -0,0 +1,41 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|endoftext|>", + "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|endoftext|>", + "tokenizer_class": "PreTrainedTokenizerFast", + "unk_token": "<|endoftext|>" +} diff --git a/tiny_llm_pretrain/checkpoint-9900/trainer_state.json b/tiny_llm_pretrain/checkpoint-9900/trainer_state.json new file mode 100644 index 0000000..90b5039 --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/trainer_state.json @@ -0,0 +1,13893 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.99, + "eval_steps": 500, + "global_step": 9900, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0005, + "grad_norm": 1.9079082012176514, + "learning_rate": 0.0001, + "loss": 5.5891, + "step": 5 + }, + { + "epoch": 0.001, + "grad_norm": 0.7927042841911316, + "learning_rate": 0.0002, + "loss": 5.1812, + "step": 10 + }, + { + "epoch": 0.0015, + "grad_norm": 0.6806358098983765, + "learning_rate": 0.0001998998998998999, + "loss": 4.9562, + "step": 15 + }, + { + "epoch": 0.002, + "grad_norm": 1.6273939609527588, + "learning_rate": 0.0001997997997997998, + "loss": 4.7403, + "step": 20 + }, + { + "epoch": 0.0025, + "grad_norm": 0.7797424793243408, + "learning_rate": 0.0001996996996996997, + "loss": 4.4994, + "step": 25 + }, + { + "epoch": 0.003, + "grad_norm": 0.6761952638626099, + "learning_rate": 0.0001995995995995996, + "loss": 4.315, + "step": 30 + }, + { + "epoch": 0.0035, + "grad_norm": 0.6525298953056335, + "learning_rate": 0.0001994994994994995, + "loss": 4.1599, + "step": 35 + }, + { + "epoch": 0.004, + "grad_norm": 0.8141308426856995, + "learning_rate": 0.0001993993993993994, + "loss": 4.0421, + "step": 40 + }, + { + "epoch": 0.0045, + "grad_norm": 0.7103850841522217, + "learning_rate": 0.00019929929929929932, + "loss": 3.9519, + "step": 45 + }, + { + "epoch": 0.005, + "grad_norm": 0.4970089793205261, + "learning_rate": 0.0001991991991991992, + "loss": 3.8788, + "step": 50 + }, + { + "epoch": 0.0055, + "grad_norm": 1.0156959295272827, + "learning_rate": 0.00019909909909909912, + "loss": 3.8267, + "step": 55 + }, + { + "epoch": 0.006, + "grad_norm": 0.6486234664916992, + "learning_rate": 0.000198998998998999, + "loss": 3.7721, + "step": 60 + }, + { + "epoch": 0.0065, + "grad_norm": 0.560275673866272, + "learning_rate": 0.0001988988988988989, + "loss": 3.7394, + "step": 65 + }, + { + "epoch": 0.007, + "grad_norm": 0.6026498675346375, + "learning_rate": 0.0001987987987987988, + "loss": 3.7272, + "step": 70 + }, + { + "epoch": 0.0075, + "grad_norm": 0.502984881401062, + "learning_rate": 0.0001986986986986987, + "loss": 3.6899, + "step": 75 + }, + { + "epoch": 0.008, + "grad_norm": 0.45901086926460266, + "learning_rate": 0.0001985985985985986, + "loss": 3.664, + "step": 80 + }, + { + "epoch": 0.0085, + "grad_norm": 0.6574872732162476, + "learning_rate": 0.0001984984984984985, + "loss": 3.6586, + "step": 85 + }, + { + "epoch": 0.009, + "grad_norm": 0.5188643932342529, + "learning_rate": 0.0001983983983983984, + "loss": 3.6381, + "step": 90 + }, + { + "epoch": 0.0095, + "grad_norm": 0.46534261107444763, + "learning_rate": 0.00019829829829829833, + "loss": 3.6189, + "step": 95 + }, + { + "epoch": 0.01, + "grad_norm": 0.5883278250694275, + "learning_rate": 0.0001981981981981982, + "loss": 3.5719, + "step": 100 + }, + { + "epoch": 0.0105, + "grad_norm": 0.5875305533409119, + "learning_rate": 0.00019809809809809813, + "loss": 3.5682, + "step": 105 + }, + { + "epoch": 0.011, + "grad_norm": 0.6514595746994019, + "learning_rate": 0.000197997997997998, + "loss": 3.5454, + "step": 110 + }, + { + "epoch": 0.0115, + "grad_norm": 0.7901559472084045, + "learning_rate": 0.0001978978978978979, + "loss": 3.535, + "step": 115 + }, + { + "epoch": 0.012, + "grad_norm": 0.8417282700538635, + "learning_rate": 0.0001977977977977978, + "loss": 3.499, + "step": 120 + }, + { + "epoch": 0.0125, + "grad_norm": 0.5768285393714905, + "learning_rate": 0.0001976976976976977, + "loss": 3.4973, + "step": 125 + }, + { + "epoch": 0.013, + "grad_norm": 0.5534257292747498, + "learning_rate": 0.0001975975975975976, + "loss": 3.443, + "step": 130 + }, + { + "epoch": 0.0135, + "grad_norm": 0.6167763471603394, + "learning_rate": 0.0001974974974974975, + "loss": 3.4109, + "step": 135 + }, + { + "epoch": 0.014, + "grad_norm": 0.7287874221801758, + "learning_rate": 0.00019739739739739739, + "loss": 3.3787, + "step": 140 + }, + { + "epoch": 0.0145, + "grad_norm": 0.5176478028297424, + "learning_rate": 0.0001972972972972973, + "loss": 3.3451, + "step": 145 + }, + { + "epoch": 0.015, + "grad_norm": 0.5850136280059814, + "learning_rate": 0.0001971971971971972, + "loss": 3.3066, + "step": 150 + }, + { + "epoch": 0.0155, + "grad_norm": 0.7310737371444702, + "learning_rate": 0.00019709709709709713, + "loss": 3.2662, + "step": 155 + }, + { + "epoch": 0.016, + "grad_norm": 0.6415804028511047, + "learning_rate": 0.00019699699699699701, + "loss": 3.2275, + "step": 160 + }, + { + "epoch": 0.0165, + "grad_norm": 0.6757485270500183, + "learning_rate": 0.0001968968968968969, + "loss": 3.1872, + "step": 165 + }, + { + "epoch": 0.017, + "grad_norm": 0.6382904052734375, + "learning_rate": 0.00019679679679679681, + "loss": 3.1226, + "step": 170 + }, + { + "epoch": 0.0175, + "grad_norm": 0.754895806312561, + "learning_rate": 0.0001966966966966967, + "loss": 3.0844, + "step": 175 + }, + { + "epoch": 0.018, + "grad_norm": 0.6877201795578003, + "learning_rate": 0.00019659659659659661, + "loss": 3.0516, + "step": 180 + }, + { + "epoch": 0.0185, + "grad_norm": 0.7147930264472961, + "learning_rate": 0.0001964964964964965, + "loss": 3.0131, + "step": 185 + }, + { + "epoch": 0.019, + "grad_norm": 0.6776050329208374, + "learning_rate": 0.0001963963963963964, + "loss": 2.9869, + "step": 190 + }, + { + "epoch": 0.0195, + "grad_norm": 0.7239454388618469, + "learning_rate": 0.0001962962962962963, + "loss": 2.9589, + "step": 195 + }, + { + "epoch": 0.02, + "grad_norm": 0.6836283802986145, + "learning_rate": 0.00019619619619619621, + "loss": 2.8852, + "step": 200 + }, + { + "epoch": 0.0205, + "grad_norm": 0.9422793984413147, + "learning_rate": 0.00019609609609609613, + "loss": 2.879, + "step": 205 + }, + { + "epoch": 0.021, + "grad_norm": 0.6841469407081604, + "learning_rate": 0.00019599599599599602, + "loss": 2.8571, + "step": 210 + }, + { + "epoch": 0.0215, + "grad_norm": 0.6966745257377625, + "learning_rate": 0.0001958958958958959, + "loss": 2.7985, + "step": 215 + }, + { + "epoch": 0.022, + "grad_norm": 0.8714805841445923, + "learning_rate": 0.00019579579579579582, + "loss": 2.7878, + "step": 220 + }, + { + "epoch": 0.0225, + "grad_norm": 0.7409490346908569, + "learning_rate": 0.0001956956956956957, + "loss": 2.7447, + "step": 225 + }, + { + "epoch": 0.023, + "grad_norm": 0.7043179273605347, + "learning_rate": 0.00019559559559559562, + "loss": 2.7465, + "step": 230 + }, + { + "epoch": 0.0235, + "grad_norm": 0.756272554397583, + "learning_rate": 0.0001954954954954955, + "loss": 2.7175, + "step": 235 + }, + { + "epoch": 0.024, + "grad_norm": 0.7182954549789429, + "learning_rate": 0.0001953953953953954, + "loss": 2.6932, + "step": 240 + }, + { + "epoch": 0.0245, + "grad_norm": 0.8014600276947021, + "learning_rate": 0.0001952952952952953, + "loss": 2.6721, + "step": 245 + }, + { + "epoch": 0.025, + "grad_norm": 0.7439653277397156, + "learning_rate": 0.0001951951951951952, + "loss": 2.6526, + "step": 250 + }, + { + "epoch": 0.0255, + "grad_norm": 0.7318114042282104, + "learning_rate": 0.0001950950950950951, + "loss": 2.6535, + "step": 255 + }, + { + "epoch": 0.026, + "grad_norm": 0.7556585073471069, + "learning_rate": 0.00019499499499499502, + "loss": 2.6466, + "step": 260 + }, + { + "epoch": 0.0265, + "grad_norm": 0.7585588693618774, + "learning_rate": 0.0001948948948948949, + "loss": 2.6062, + "step": 265 + }, + { + "epoch": 0.027, + "grad_norm": 0.7325690388679504, + "learning_rate": 0.00019479479479479482, + "loss": 2.604, + "step": 270 + }, + { + "epoch": 0.0275, + "grad_norm": 0.7965534925460815, + "learning_rate": 0.0001946946946946947, + "loss": 2.5905, + "step": 275 + }, + { + "epoch": 0.028, + "grad_norm": 0.8178598880767822, + "learning_rate": 0.00019459459459459462, + "loss": 2.5676, + "step": 280 + }, + { + "epoch": 0.0285, + "grad_norm": 0.750317394733429, + "learning_rate": 0.0001944944944944945, + "loss": 2.562, + "step": 285 + }, + { + "epoch": 0.029, + "grad_norm": 0.7719892263412476, + "learning_rate": 0.0001943943943943944, + "loss": 2.562, + "step": 290 + }, + { + "epoch": 0.0295, + "grad_norm": 0.8082327246665955, + "learning_rate": 0.0001942942942942943, + "loss": 2.5188, + "step": 295 + }, + { + "epoch": 0.03, + "grad_norm": 0.8357940912246704, + "learning_rate": 0.0001941941941941942, + "loss": 2.5437, + "step": 300 + }, + { + "epoch": 0.0305, + "grad_norm": 0.789130687713623, + "learning_rate": 0.0001940940940940941, + "loss": 2.5006, + "step": 305 + }, + { + "epoch": 0.031, + "grad_norm": 0.8761134743690491, + "learning_rate": 0.00019399399399399402, + "loss": 2.5121, + "step": 310 + }, + { + "epoch": 0.0315, + "grad_norm": 0.7823195457458496, + "learning_rate": 0.0001938938938938939, + "loss": 2.52, + "step": 315 + }, + { + "epoch": 0.032, + "grad_norm": 0.7430358529090881, + "learning_rate": 0.00019379379379379382, + "loss": 2.5108, + "step": 320 + }, + { + "epoch": 0.0325, + "grad_norm": 0.7893998026847839, + "learning_rate": 0.0001936936936936937, + "loss": 2.4943, + "step": 325 + }, + { + "epoch": 0.033, + "grad_norm": 0.79250568151474, + "learning_rate": 0.0001935935935935936, + "loss": 2.5005, + "step": 330 + }, + { + "epoch": 0.0335, + "grad_norm": 0.9912872910499573, + "learning_rate": 0.0001934934934934935, + "loss": 2.4595, + "step": 335 + }, + { + "epoch": 0.034, + "grad_norm": 0.7901522517204285, + "learning_rate": 0.0001933933933933934, + "loss": 2.4501, + "step": 340 + }, + { + "epoch": 0.0345, + "grad_norm": 0.7800329327583313, + "learning_rate": 0.0001932932932932933, + "loss": 2.46, + "step": 345 + }, + { + "epoch": 0.035, + "grad_norm": 0.838046669960022, + "learning_rate": 0.0001931931931931932, + "loss": 2.4495, + "step": 350 + }, + { + "epoch": 0.0355, + "grad_norm": 0.7794272899627686, + "learning_rate": 0.00019309309309309308, + "loss": 2.4537, + "step": 355 + }, + { + "epoch": 0.036, + "grad_norm": 0.8007591962814331, + "learning_rate": 0.000192992992992993, + "loss": 2.4339, + "step": 360 + }, + { + "epoch": 0.0365, + "grad_norm": 0.8491222262382507, + "learning_rate": 0.0001928928928928929, + "loss": 2.4461, + "step": 365 + }, + { + "epoch": 0.037, + "grad_norm": 0.8045406937599182, + "learning_rate": 0.00019279279279279282, + "loss": 2.4192, + "step": 370 + }, + { + "epoch": 0.0375, + "grad_norm": 0.8075376152992249, + "learning_rate": 0.0001926926926926927, + "loss": 2.4254, + "step": 375 + }, + { + "epoch": 0.038, + "grad_norm": 0.7965284585952759, + "learning_rate": 0.0001925925925925926, + "loss": 2.4136, + "step": 380 + }, + { + "epoch": 0.0385, + "grad_norm": 0.8071419596672058, + "learning_rate": 0.0001924924924924925, + "loss": 2.4018, + "step": 385 + }, + { + "epoch": 0.039, + "grad_norm": 0.7852412462234497, + "learning_rate": 0.0001923923923923924, + "loss": 2.3948, + "step": 390 + }, + { + "epoch": 0.0395, + "grad_norm": 0.7773271799087524, + "learning_rate": 0.0001922922922922923, + "loss": 2.3731, + "step": 395 + }, + { + "epoch": 0.04, + "grad_norm": 0.943693220615387, + "learning_rate": 0.0001921921921921922, + "loss": 2.4004, + "step": 400 + }, + { + "epoch": 0.0405, + "grad_norm": 0.8425918817520142, + "learning_rate": 0.00019209209209209208, + "loss": 2.3765, + "step": 405 + }, + { + "epoch": 0.041, + "grad_norm": 0.7713614702224731, + "learning_rate": 0.000191991991991992, + "loss": 2.3505, + "step": 410 + }, + { + "epoch": 0.0415, + "grad_norm": 0.9050373435020447, + "learning_rate": 0.0001918918918918919, + "loss": 2.3851, + "step": 415 + }, + { + "epoch": 0.042, + "grad_norm": 0.9341697096824646, + "learning_rate": 0.00019179179179179182, + "loss": 2.393, + "step": 420 + }, + { + "epoch": 0.0425, + "grad_norm": 0.9182080626487732, + "learning_rate": 0.0001916916916916917, + "loss": 2.3528, + "step": 425 + }, + { + "epoch": 0.043, + "grad_norm": 0.8569957613945007, + "learning_rate": 0.0001915915915915916, + "loss": 2.3723, + "step": 430 + }, + { + "epoch": 0.0435, + "grad_norm": 0.8590387105941772, + "learning_rate": 0.0001914914914914915, + "loss": 2.3591, + "step": 435 + }, + { + "epoch": 0.044, + "grad_norm": 0.8434947729110718, + "learning_rate": 0.0001913913913913914, + "loss": 2.3316, + "step": 440 + }, + { + "epoch": 0.0445, + "grad_norm": 0.8210241794586182, + "learning_rate": 0.0001912912912912913, + "loss": 2.3346, + "step": 445 + }, + { + "epoch": 0.045, + "grad_norm": 0.815951943397522, + "learning_rate": 0.0001911911911911912, + "loss": 2.3335, + "step": 450 + }, + { + "epoch": 0.0455, + "grad_norm": 0.8260611891746521, + "learning_rate": 0.00019109109109109108, + "loss": 2.3345, + "step": 455 + }, + { + "epoch": 0.046, + "grad_norm": 0.8018535375595093, + "learning_rate": 0.000190990990990991, + "loss": 2.3162, + "step": 460 + }, + { + "epoch": 0.0465, + "grad_norm": 0.7817215919494629, + "learning_rate": 0.00019089089089089088, + "loss": 2.3227, + "step": 465 + }, + { + "epoch": 0.047, + "grad_norm": 0.8590435981750488, + "learning_rate": 0.0001907907907907908, + "loss": 2.3195, + "step": 470 + }, + { + "epoch": 0.0475, + "grad_norm": 0.834904670715332, + "learning_rate": 0.0001906906906906907, + "loss": 2.3172, + "step": 475 + }, + { + "epoch": 0.048, + "grad_norm": 0.7928949594497681, + "learning_rate": 0.0001905905905905906, + "loss": 2.3117, + "step": 480 + }, + { + "epoch": 0.0485, + "grad_norm": 0.7825335264205933, + "learning_rate": 0.0001904904904904905, + "loss": 2.2934, + "step": 485 + }, + { + "epoch": 0.049, + "grad_norm": 0.8034011125564575, + "learning_rate": 0.0001903903903903904, + "loss": 2.2964, + "step": 490 + }, + { + "epoch": 0.0495, + "grad_norm": 0.8105394840240479, + "learning_rate": 0.0001902902902902903, + "loss": 2.3114, + "step": 495 + }, + { + "epoch": 0.05, + "grad_norm": 0.7957478165626526, + "learning_rate": 0.0001901901901901902, + "loss": 2.3039, + "step": 500 + }, + { + "epoch": 0.0505, + "grad_norm": 0.8164071440696716, + "learning_rate": 0.00019009009009009008, + "loss": 2.2803, + "step": 505 + }, + { + "epoch": 0.051, + "grad_norm": 0.8089556097984314, + "learning_rate": 0.00018998998998999, + "loss": 2.2965, + "step": 510 + }, + { + "epoch": 0.0515, + "grad_norm": 0.7860431671142578, + "learning_rate": 0.00018988988988988988, + "loss": 2.2686, + "step": 515 + }, + { + "epoch": 0.052, + "grad_norm": 0.859445333480835, + "learning_rate": 0.0001897897897897898, + "loss": 2.2996, + "step": 520 + }, + { + "epoch": 0.0525, + "grad_norm": 0.8138173818588257, + "learning_rate": 0.0001896896896896897, + "loss": 2.3295, + "step": 525 + }, + { + "epoch": 0.053, + "grad_norm": 0.7922393679618835, + "learning_rate": 0.0001895895895895896, + "loss": 2.2671, + "step": 530 + }, + { + "epoch": 0.0535, + "grad_norm": 0.8085952401161194, + "learning_rate": 0.0001894894894894895, + "loss": 2.2899, + "step": 535 + }, + { + "epoch": 0.054, + "grad_norm": 0.8285341858863831, + "learning_rate": 0.0001893893893893894, + "loss": 2.2911, + "step": 540 + }, + { + "epoch": 0.0545, + "grad_norm": 0.801395833492279, + "learning_rate": 0.0001892892892892893, + "loss": 2.2729, + "step": 545 + }, + { + "epoch": 0.055, + "grad_norm": 0.8205108642578125, + "learning_rate": 0.0001891891891891892, + "loss": 2.2709, + "step": 550 + }, + { + "epoch": 0.0555, + "grad_norm": 0.821998119354248, + "learning_rate": 0.00018908908908908908, + "loss": 2.2847, + "step": 555 + }, + { + "epoch": 0.056, + "grad_norm": 0.8000075221061707, + "learning_rate": 0.000188988988988989, + "loss": 2.2663, + "step": 560 + }, + { + "epoch": 0.0565, + "grad_norm": 0.8233977556228638, + "learning_rate": 0.00018888888888888888, + "loss": 2.261, + "step": 565 + }, + { + "epoch": 0.057, + "grad_norm": 0.8421242833137512, + "learning_rate": 0.0001887887887887888, + "loss": 2.2626, + "step": 570 + }, + { + "epoch": 0.0575, + "grad_norm": 0.8450160026550293, + "learning_rate": 0.00018868868868868868, + "loss": 2.2755, + "step": 575 + }, + { + "epoch": 0.058, + "grad_norm": 0.8315795660018921, + "learning_rate": 0.0001885885885885886, + "loss": 2.2381, + "step": 580 + }, + { + "epoch": 0.0585, + "grad_norm": 0.8966110348701477, + "learning_rate": 0.0001884884884884885, + "loss": 2.2517, + "step": 585 + }, + { + "epoch": 0.059, + "grad_norm": 0.8162801861763, + "learning_rate": 0.0001883883883883884, + "loss": 2.2629, + "step": 590 + }, + { + "epoch": 0.0595, + "grad_norm": 0.7899118661880493, + "learning_rate": 0.0001882882882882883, + "loss": 2.2304, + "step": 595 + }, + { + "epoch": 0.06, + "grad_norm": 0.8371149301528931, + "learning_rate": 0.0001881881881881882, + "loss": 2.2232, + "step": 600 + }, + { + "epoch": 0.0605, + "grad_norm": 0.8292490243911743, + "learning_rate": 0.00018808808808808809, + "loss": 2.2416, + "step": 605 + }, + { + "epoch": 0.061, + "grad_norm": 0.775081217288971, + "learning_rate": 0.000187987987987988, + "loss": 2.2547, + "step": 610 + }, + { + "epoch": 0.0615, + "grad_norm": 0.8445130586624146, + "learning_rate": 0.00018788788788788789, + "loss": 2.2243, + "step": 615 + }, + { + "epoch": 0.062, + "grad_norm": 0.9159201383590698, + "learning_rate": 0.0001877877877877878, + "loss": 2.2423, + "step": 620 + }, + { + "epoch": 0.0625, + "grad_norm": 0.8316602110862732, + "learning_rate": 0.00018768768768768769, + "loss": 2.2489, + "step": 625 + }, + { + "epoch": 0.063, + "grad_norm": 0.8371139764785767, + "learning_rate": 0.0001875875875875876, + "loss": 2.2255, + "step": 630 + }, + { + "epoch": 0.0635, + "grad_norm": 0.7829753756523132, + "learning_rate": 0.0001874874874874875, + "loss": 2.2279, + "step": 635 + }, + { + "epoch": 0.064, + "grad_norm": 0.8447110652923584, + "learning_rate": 0.0001873873873873874, + "loss": 2.2392, + "step": 640 + }, + { + "epoch": 0.0645, + "grad_norm": 0.8826359510421753, + "learning_rate": 0.00018728728728728731, + "loss": 2.2343, + "step": 645 + }, + { + "epoch": 0.065, + "grad_norm": 0.9065181016921997, + "learning_rate": 0.0001871871871871872, + "loss": 2.2295, + "step": 650 + }, + { + "epoch": 0.0655, + "grad_norm": 0.849250316619873, + "learning_rate": 0.0001870870870870871, + "loss": 2.2214, + "step": 655 + }, + { + "epoch": 0.066, + "grad_norm": 0.7951939105987549, + "learning_rate": 0.000186986986986987, + "loss": 2.2028, + "step": 660 + }, + { + "epoch": 0.0665, + "grad_norm": 0.8047727942466736, + "learning_rate": 0.0001868868868868869, + "loss": 2.2092, + "step": 665 + }, + { + "epoch": 0.067, + "grad_norm": 0.8044347167015076, + "learning_rate": 0.0001867867867867868, + "loss": 2.214, + "step": 670 + }, + { + "epoch": 0.0675, + "grad_norm": 0.831087052822113, + "learning_rate": 0.0001866866866866867, + "loss": 2.1976, + "step": 675 + }, + { + "epoch": 0.068, + "grad_norm": 0.818250298500061, + "learning_rate": 0.00018658658658658657, + "loss": 2.211, + "step": 680 + }, + { + "epoch": 0.0685, + "grad_norm": 0.8615385890007019, + "learning_rate": 0.0001864864864864865, + "loss": 2.2073, + "step": 685 + }, + { + "epoch": 0.069, + "grad_norm": 0.7918171882629395, + "learning_rate": 0.0001863863863863864, + "loss": 2.222, + "step": 690 + }, + { + "epoch": 0.0695, + "grad_norm": 0.7995744347572327, + "learning_rate": 0.00018628628628628632, + "loss": 2.1958, + "step": 695 + }, + { + "epoch": 0.07, + "grad_norm": 0.8070845603942871, + "learning_rate": 0.0001861861861861862, + "loss": 2.2098, + "step": 700 + }, + { + "epoch": 0.0705, + "grad_norm": 0.7857322692871094, + "learning_rate": 0.0001860860860860861, + "loss": 2.195, + "step": 705 + }, + { + "epoch": 0.071, + "grad_norm": 0.8171130418777466, + "learning_rate": 0.000185985985985986, + "loss": 2.1882, + "step": 710 + }, + { + "epoch": 0.0715, + "grad_norm": 0.8484584093093872, + "learning_rate": 0.0001858858858858859, + "loss": 2.1875, + "step": 715 + }, + { + "epoch": 0.072, + "grad_norm": 0.7893686890602112, + "learning_rate": 0.0001857857857857858, + "loss": 2.2256, + "step": 720 + }, + { + "epoch": 0.0725, + "grad_norm": 0.8339685797691345, + "learning_rate": 0.0001856856856856857, + "loss": 2.2197, + "step": 725 + }, + { + "epoch": 0.073, + "grad_norm": 0.8456217646598816, + "learning_rate": 0.00018558558558558558, + "loss": 2.1971, + "step": 730 + }, + { + "epoch": 0.0735, + "grad_norm": 0.8281363844871521, + "learning_rate": 0.0001854854854854855, + "loss": 2.1801, + "step": 735 + }, + { + "epoch": 0.074, + "grad_norm": 0.8099832534790039, + "learning_rate": 0.0001853853853853854, + "loss": 2.1826, + "step": 740 + }, + { + "epoch": 0.0745, + "grad_norm": 0.8337610960006714, + "learning_rate": 0.00018528528528528532, + "loss": 2.185, + "step": 745 + }, + { + "epoch": 0.075, + "grad_norm": 0.8083080053329468, + "learning_rate": 0.0001851851851851852, + "loss": 2.1803, + "step": 750 + }, + { + "epoch": 0.0755, + "grad_norm": 0.7984271049499512, + "learning_rate": 0.0001850850850850851, + "loss": 2.203, + "step": 755 + }, + { + "epoch": 0.076, + "grad_norm": 0.8373366594314575, + "learning_rate": 0.000184984984984985, + "loss": 2.1887, + "step": 760 + }, + { + "epoch": 0.0765, + "grad_norm": 0.8333912491798401, + "learning_rate": 0.0001848848848848849, + "loss": 2.1863, + "step": 765 + }, + { + "epoch": 0.077, + "grad_norm": 0.8119728565216064, + "learning_rate": 0.0001847847847847848, + "loss": 2.2026, + "step": 770 + }, + { + "epoch": 0.0775, + "grad_norm": 0.8200430274009705, + "learning_rate": 0.0001846846846846847, + "loss": 2.1644, + "step": 775 + }, + { + "epoch": 0.078, + "grad_norm": 0.797855019569397, + "learning_rate": 0.00018458458458458458, + "loss": 2.1739, + "step": 780 + }, + { + "epoch": 0.0785, + "grad_norm": 0.8249688148498535, + "learning_rate": 0.0001844844844844845, + "loss": 2.1716, + "step": 785 + }, + { + "epoch": 0.079, + "grad_norm": 0.8358808159828186, + "learning_rate": 0.00018438438438438438, + "loss": 2.1849, + "step": 790 + }, + { + "epoch": 0.0795, + "grad_norm": 0.8711438179016113, + "learning_rate": 0.0001842842842842843, + "loss": 2.1695, + "step": 795 + }, + { + "epoch": 0.08, + "grad_norm": 0.9179810881614685, + "learning_rate": 0.0001841841841841842, + "loss": 2.1597, + "step": 800 + }, + { + "epoch": 0.0805, + "grad_norm": 0.8647555708885193, + "learning_rate": 0.0001840840840840841, + "loss": 2.1918, + "step": 805 + }, + { + "epoch": 0.081, + "grad_norm": 0.8114230036735535, + "learning_rate": 0.000183983983983984, + "loss": 2.163, + "step": 810 + }, + { + "epoch": 0.0815, + "grad_norm": 0.8165040612220764, + "learning_rate": 0.0001838838838838839, + "loss": 2.1833, + "step": 815 + }, + { + "epoch": 0.082, + "grad_norm": 0.8150405287742615, + "learning_rate": 0.0001837837837837838, + "loss": 2.1452, + "step": 820 + }, + { + "epoch": 0.0825, + "grad_norm": 0.8312757015228271, + "learning_rate": 0.0001836836836836837, + "loss": 2.1535, + "step": 825 + }, + { + "epoch": 0.083, + "grad_norm": 0.7952617406845093, + "learning_rate": 0.00018358358358358358, + "loss": 2.1463, + "step": 830 + }, + { + "epoch": 0.0835, + "grad_norm": 0.855327308177948, + "learning_rate": 0.0001834834834834835, + "loss": 2.1622, + "step": 835 + }, + { + "epoch": 0.084, + "grad_norm": 0.8281525373458862, + "learning_rate": 0.00018338338338338338, + "loss": 2.149, + "step": 840 + }, + { + "epoch": 0.0845, + "grad_norm": 0.8069710731506348, + "learning_rate": 0.0001832832832832833, + "loss": 2.1548, + "step": 845 + }, + { + "epoch": 0.085, + "grad_norm": 0.8265529870986938, + "learning_rate": 0.0001831831831831832, + "loss": 2.1588, + "step": 850 + }, + { + "epoch": 0.0855, + "grad_norm": 0.8836376667022705, + "learning_rate": 0.0001830830830830831, + "loss": 2.1503, + "step": 855 + }, + { + "epoch": 0.086, + "grad_norm": 0.8916524648666382, + "learning_rate": 0.000182982982982983, + "loss": 2.1771, + "step": 860 + }, + { + "epoch": 0.0865, + "grad_norm": 0.9221314787864685, + "learning_rate": 0.0001828828828828829, + "loss": 2.1462, + "step": 865 + }, + { + "epoch": 0.087, + "grad_norm": 0.9381101727485657, + "learning_rate": 0.0001827827827827828, + "loss": 2.1593, + "step": 870 + }, + { + "epoch": 0.0875, + "grad_norm": 0.8455514311790466, + "learning_rate": 0.0001826826826826827, + "loss": 2.151, + "step": 875 + }, + { + "epoch": 0.088, + "grad_norm": 0.89353346824646, + "learning_rate": 0.00018258258258258258, + "loss": 2.1447, + "step": 880 + }, + { + "epoch": 0.0885, + "grad_norm": 0.9089289903640747, + "learning_rate": 0.0001824824824824825, + "loss": 2.1531, + "step": 885 + }, + { + "epoch": 0.089, + "grad_norm": 0.8870664238929749, + "learning_rate": 0.00018238238238238238, + "loss": 2.1541, + "step": 890 + }, + { + "epoch": 0.0895, + "grad_norm": 0.9005898237228394, + "learning_rate": 0.0001822822822822823, + "loss": 2.1582, + "step": 895 + }, + { + "epoch": 0.09, + "grad_norm": 0.8735866546630859, + "learning_rate": 0.00018218218218218218, + "loss": 2.1419, + "step": 900 + }, + { + "epoch": 0.0905, + "grad_norm": 0.8308618664741516, + "learning_rate": 0.0001820820820820821, + "loss": 2.1606, + "step": 905 + }, + { + "epoch": 0.091, + "grad_norm": 0.7997368574142456, + "learning_rate": 0.000181981981981982, + "loss": 2.1242, + "step": 910 + }, + { + "epoch": 0.0915, + "grad_norm": 0.804722785949707, + "learning_rate": 0.0001818818818818819, + "loss": 2.1264, + "step": 915 + }, + { + "epoch": 0.092, + "grad_norm": 0.8133739829063416, + "learning_rate": 0.0001817817817817818, + "loss": 2.1403, + "step": 920 + }, + { + "epoch": 0.0925, + "grad_norm": 0.8166353702545166, + "learning_rate": 0.0001816816816816817, + "loss": 2.159, + "step": 925 + }, + { + "epoch": 0.093, + "grad_norm": 0.8658384084701538, + "learning_rate": 0.00018158158158158158, + "loss": 2.1383, + "step": 930 + }, + { + "epoch": 0.0935, + "grad_norm": 0.8393406867980957, + "learning_rate": 0.0001814814814814815, + "loss": 2.1362, + "step": 935 + }, + { + "epoch": 0.094, + "grad_norm": 0.8342397809028625, + "learning_rate": 0.00018138138138138138, + "loss": 2.1218, + "step": 940 + }, + { + "epoch": 0.0945, + "grad_norm": 0.8732867240905762, + "learning_rate": 0.0001812812812812813, + "loss": 2.1378, + "step": 945 + }, + { + "epoch": 0.095, + "grad_norm": 0.8951284289360046, + "learning_rate": 0.00018118118118118118, + "loss": 2.141, + "step": 950 + }, + { + "epoch": 0.0955, + "grad_norm": 0.8014113903045654, + "learning_rate": 0.0001810810810810811, + "loss": 2.1341, + "step": 955 + }, + { + "epoch": 0.096, + "grad_norm": 0.8125712871551514, + "learning_rate": 0.000180980980980981, + "loss": 2.1527, + "step": 960 + }, + { + "epoch": 0.0965, + "grad_norm": 0.8115226030349731, + "learning_rate": 0.0001808808808808809, + "loss": 2.1237, + "step": 965 + }, + { + "epoch": 0.097, + "grad_norm": 0.7778534889221191, + "learning_rate": 0.00018078078078078078, + "loss": 2.133, + "step": 970 + }, + { + "epoch": 0.0975, + "grad_norm": 0.8221558928489685, + "learning_rate": 0.0001806806806806807, + "loss": 2.1301, + "step": 975 + }, + { + "epoch": 0.098, + "grad_norm": 0.8114945888519287, + "learning_rate": 0.00018058058058058058, + "loss": 2.1219, + "step": 980 + }, + { + "epoch": 0.0985, + "grad_norm": 0.8403328657150269, + "learning_rate": 0.0001804804804804805, + "loss": 2.1286, + "step": 985 + }, + { + "epoch": 0.099, + "grad_norm": 0.8078803420066833, + "learning_rate": 0.00018038038038038038, + "loss": 2.1298, + "step": 990 + }, + { + "epoch": 0.0995, + "grad_norm": 0.7954163551330566, + "learning_rate": 0.00018028028028028027, + "loss": 2.1243, + "step": 995 + }, + { + "epoch": 0.1, + "grad_norm": 0.8172447681427002, + "learning_rate": 0.00018018018018018018, + "loss": 2.1422, + "step": 1000 + }, + { + "epoch": 0.1005, + "grad_norm": 0.8081322312355042, + "learning_rate": 0.00018008008008008007, + "loss": 2.1293, + "step": 1005 + }, + { + "epoch": 0.101, + "grad_norm": 0.8215644955635071, + "learning_rate": 0.00017997997997997998, + "loss": 2.1281, + "step": 1010 + }, + { + "epoch": 0.1015, + "grad_norm": 0.8085120916366577, + "learning_rate": 0.0001798798798798799, + "loss": 2.1144, + "step": 1015 + }, + { + "epoch": 0.102, + "grad_norm": 0.8848192691802979, + "learning_rate": 0.00017977977977977978, + "loss": 2.1076, + "step": 1020 + }, + { + "epoch": 0.1025, + "grad_norm": 0.8614477515220642, + "learning_rate": 0.0001796796796796797, + "loss": 2.1271, + "step": 1025 + }, + { + "epoch": 0.103, + "grad_norm": 0.7808970808982849, + "learning_rate": 0.00017957957957957958, + "loss": 2.132, + "step": 1030 + }, + { + "epoch": 0.1035, + "grad_norm": 0.8185530304908752, + "learning_rate": 0.0001794794794794795, + "loss": 2.1138, + "step": 1035 + }, + { + "epoch": 0.104, + "grad_norm": 0.8249826431274414, + "learning_rate": 0.00017937937937937938, + "loss": 2.1203, + "step": 1040 + }, + { + "epoch": 0.1045, + "grad_norm": 0.8197057247161865, + "learning_rate": 0.00017927927927927927, + "loss": 2.1301, + "step": 1045 + }, + { + "epoch": 0.105, + "grad_norm": 0.8169847130775452, + "learning_rate": 0.00017917917917917918, + "loss": 2.1199, + "step": 1050 + }, + { + "epoch": 0.1055, + "grad_norm": 0.8283096551895142, + "learning_rate": 0.00017907907907907907, + "loss": 2.1329, + "step": 1055 + }, + { + "epoch": 0.106, + "grad_norm": 0.8258969783782959, + "learning_rate": 0.00017897897897897898, + "loss": 2.1345, + "step": 1060 + }, + { + "epoch": 0.1065, + "grad_norm": 0.8351008296012878, + "learning_rate": 0.0001788788788788789, + "loss": 2.1043, + "step": 1065 + }, + { + "epoch": 0.107, + "grad_norm": 0.8097892999649048, + "learning_rate": 0.00017877877877877878, + "loss": 2.115, + "step": 1070 + }, + { + "epoch": 0.1075, + "grad_norm": 0.8576760292053223, + "learning_rate": 0.0001786786786786787, + "loss": 2.1142, + "step": 1075 + }, + { + "epoch": 0.108, + "grad_norm": 0.8387484550476074, + "learning_rate": 0.00017857857857857859, + "loss": 2.1179, + "step": 1080 + }, + { + "epoch": 0.1085, + "grad_norm": 0.8194589614868164, + "learning_rate": 0.0001784784784784785, + "loss": 2.096, + "step": 1085 + }, + { + "epoch": 0.109, + "grad_norm": 0.8305883407592773, + "learning_rate": 0.00017837837837837839, + "loss": 2.1312, + "step": 1090 + }, + { + "epoch": 0.1095, + "grad_norm": 0.7996582984924316, + "learning_rate": 0.00017827827827827827, + "loss": 2.1102, + "step": 1095 + }, + { + "epoch": 0.11, + "grad_norm": 0.7716205716133118, + "learning_rate": 0.00017817817817817819, + "loss": 2.1136, + "step": 1100 + }, + { + "epoch": 0.1105, + "grad_norm": 0.8277180194854736, + "learning_rate": 0.00017807807807807807, + "loss": 2.0968, + "step": 1105 + }, + { + "epoch": 0.111, + "grad_norm": 0.8593622446060181, + "learning_rate": 0.00017797797797797799, + "loss": 2.1082, + "step": 1110 + }, + { + "epoch": 0.1115, + "grad_norm": 0.8498421311378479, + "learning_rate": 0.00017787787787787787, + "loss": 2.1008, + "step": 1115 + }, + { + "epoch": 0.112, + "grad_norm": 0.7923771739006042, + "learning_rate": 0.00017777777777777779, + "loss": 2.124, + "step": 1120 + }, + { + "epoch": 0.1125, + "grad_norm": 0.7583004832267761, + "learning_rate": 0.0001776776776776777, + "loss": 2.1046, + "step": 1125 + }, + { + "epoch": 0.113, + "grad_norm": 0.7722444534301758, + "learning_rate": 0.0001775775775775776, + "loss": 2.0927, + "step": 1130 + }, + { + "epoch": 0.1135, + "grad_norm": 0.8124234676361084, + "learning_rate": 0.0001774774774774775, + "loss": 2.0971, + "step": 1135 + }, + { + "epoch": 0.114, + "grad_norm": 0.815171480178833, + "learning_rate": 0.0001773773773773774, + "loss": 2.109, + "step": 1140 + }, + { + "epoch": 0.1145, + "grad_norm": 0.8697826266288757, + "learning_rate": 0.00017727727727727727, + "loss": 2.1232, + "step": 1145 + }, + { + "epoch": 0.115, + "grad_norm": 0.7589493989944458, + "learning_rate": 0.0001771771771771772, + "loss": 2.0896, + "step": 1150 + }, + { + "epoch": 0.1155, + "grad_norm": 0.7957839965820312, + "learning_rate": 0.00017707707707707707, + "loss": 2.0935, + "step": 1155 + }, + { + "epoch": 0.116, + "grad_norm": 0.7996811866760254, + "learning_rate": 0.000176976976976977, + "loss": 2.0873, + "step": 1160 + }, + { + "epoch": 0.1165, + "grad_norm": 0.9038351774215698, + "learning_rate": 0.00017687687687687687, + "loss": 2.1061, + "step": 1165 + }, + { + "epoch": 0.117, + "grad_norm": 0.8256264328956604, + "learning_rate": 0.0001767767767767768, + "loss": 2.101, + "step": 1170 + }, + { + "epoch": 0.1175, + "grad_norm": 0.8364511728286743, + "learning_rate": 0.0001766766766766767, + "loss": 2.0703, + "step": 1175 + }, + { + "epoch": 0.118, + "grad_norm": 0.8705337643623352, + "learning_rate": 0.0001765765765765766, + "loss": 2.0993, + "step": 1180 + }, + { + "epoch": 0.1185, + "grad_norm": 0.817215621471405, + "learning_rate": 0.0001764764764764765, + "loss": 2.0877, + "step": 1185 + }, + { + "epoch": 0.119, + "grad_norm": 0.8533849716186523, + "learning_rate": 0.0001763763763763764, + "loss": 2.1219, + "step": 1190 + }, + { + "epoch": 0.1195, + "grad_norm": 0.8578528761863708, + "learning_rate": 0.00017627627627627627, + "loss": 2.0859, + "step": 1195 + }, + { + "epoch": 0.12, + "grad_norm": 0.9291893243789673, + "learning_rate": 0.0001761761761761762, + "loss": 2.0715, + "step": 1200 + }, + { + "epoch": 0.1205, + "grad_norm": 0.8820558786392212, + "learning_rate": 0.00017607607607607608, + "loss": 2.0945, + "step": 1205 + }, + { + "epoch": 0.121, + "grad_norm": 0.8163352012634277, + "learning_rate": 0.000175975975975976, + "loss": 2.084, + "step": 1210 + }, + { + "epoch": 0.1215, + "grad_norm": 0.8108770847320557, + "learning_rate": 0.00017587587587587588, + "loss": 2.103, + "step": 1215 + }, + { + "epoch": 0.122, + "grad_norm": 0.7584842443466187, + "learning_rate": 0.00017577577577577576, + "loss": 2.1035, + "step": 1220 + }, + { + "epoch": 0.1225, + "grad_norm": 0.8116704225540161, + "learning_rate": 0.00017567567567567568, + "loss": 2.0872, + "step": 1225 + }, + { + "epoch": 0.123, + "grad_norm": 0.8035491108894348, + "learning_rate": 0.0001755755755755756, + "loss": 2.0806, + "step": 1230 + }, + { + "epoch": 0.1235, + "grad_norm": 0.8007566332817078, + "learning_rate": 0.0001754754754754755, + "loss": 2.0872, + "step": 1235 + }, + { + "epoch": 0.124, + "grad_norm": 0.8226689100265503, + "learning_rate": 0.0001753753753753754, + "loss": 2.0863, + "step": 1240 + }, + { + "epoch": 0.1245, + "grad_norm": 0.7925471663475037, + "learning_rate": 0.00017527527527527528, + "loss": 2.0818, + "step": 1245 + }, + { + "epoch": 0.125, + "grad_norm": 0.8135493397712708, + "learning_rate": 0.0001751751751751752, + "loss": 2.1068, + "step": 1250 + }, + { + "epoch": 0.1255, + "grad_norm": 0.7937769889831543, + "learning_rate": 0.00017507507507507508, + "loss": 2.076, + "step": 1255 + }, + { + "epoch": 0.126, + "grad_norm": 0.774671733379364, + "learning_rate": 0.000174974974974975, + "loss": 2.0856, + "step": 1260 + }, + { + "epoch": 0.1265, + "grad_norm": 0.772739589214325, + "learning_rate": 0.00017487487487487488, + "loss": 2.0804, + "step": 1265 + }, + { + "epoch": 0.127, + "grad_norm": 0.7890838980674744, + "learning_rate": 0.00017477477477477476, + "loss": 2.074, + "step": 1270 + }, + { + "epoch": 0.1275, + "grad_norm": 0.8244984149932861, + "learning_rate": 0.00017467467467467468, + "loss": 2.0829, + "step": 1275 + }, + { + "epoch": 0.128, + "grad_norm": 0.8121048808097839, + "learning_rate": 0.0001745745745745746, + "loss": 2.0686, + "step": 1280 + }, + { + "epoch": 0.1285, + "grad_norm": 0.8105731010437012, + "learning_rate": 0.0001744744744744745, + "loss": 2.0791, + "step": 1285 + }, + { + "epoch": 0.129, + "grad_norm": 0.8011786937713623, + "learning_rate": 0.0001743743743743744, + "loss": 2.0656, + "step": 1290 + }, + { + "epoch": 0.1295, + "grad_norm": 0.8228626251220703, + "learning_rate": 0.00017427427427427428, + "loss": 2.0847, + "step": 1295 + }, + { + "epoch": 0.13, + "grad_norm": 0.8151708245277405, + "learning_rate": 0.0001741741741741742, + "loss": 2.0597, + "step": 1300 + }, + { + "epoch": 0.1305, + "grad_norm": 0.771611213684082, + "learning_rate": 0.00017407407407407408, + "loss": 2.0463, + "step": 1305 + }, + { + "epoch": 0.131, + "grad_norm": 0.8352901339530945, + "learning_rate": 0.000173973973973974, + "loss": 2.063, + "step": 1310 + }, + { + "epoch": 0.1315, + "grad_norm": 0.8361049294471741, + "learning_rate": 0.00017387387387387388, + "loss": 2.064, + "step": 1315 + }, + { + "epoch": 0.132, + "grad_norm": 0.8306949138641357, + "learning_rate": 0.00017377377377377376, + "loss": 2.0955, + "step": 1320 + }, + { + "epoch": 0.1325, + "grad_norm": 0.7998603582382202, + "learning_rate": 0.00017367367367367368, + "loss": 2.0794, + "step": 1325 + }, + { + "epoch": 0.133, + "grad_norm": 0.7653375864028931, + "learning_rate": 0.00017357357357357357, + "loss": 2.0688, + "step": 1330 + }, + { + "epoch": 0.1335, + "grad_norm": 0.8033472895622253, + "learning_rate": 0.00017347347347347348, + "loss": 2.0889, + "step": 1335 + }, + { + "epoch": 0.134, + "grad_norm": 0.8225494623184204, + "learning_rate": 0.0001733733733733734, + "loss": 2.092, + "step": 1340 + }, + { + "epoch": 0.1345, + "grad_norm": 0.8260511159896851, + "learning_rate": 0.00017327327327327328, + "loss": 2.071, + "step": 1345 + }, + { + "epoch": 0.135, + "grad_norm": 0.9667144417762756, + "learning_rate": 0.0001731731731731732, + "loss": 2.0685, + "step": 1350 + }, + { + "epoch": 0.1355, + "grad_norm": 0.8435398936271667, + "learning_rate": 0.00017307307307307308, + "loss": 2.0781, + "step": 1355 + }, + { + "epoch": 0.136, + "grad_norm": 0.8424886465072632, + "learning_rate": 0.000172972972972973, + "loss": 2.0757, + "step": 1360 + }, + { + "epoch": 0.1365, + "grad_norm": 0.8169295787811279, + "learning_rate": 0.00017287287287287288, + "loss": 2.0734, + "step": 1365 + }, + { + "epoch": 0.137, + "grad_norm": 0.8099573254585266, + "learning_rate": 0.00017277277277277277, + "loss": 2.0714, + "step": 1370 + }, + { + "epoch": 0.1375, + "grad_norm": 0.8306437730789185, + "learning_rate": 0.00017267267267267268, + "loss": 2.0735, + "step": 1375 + }, + { + "epoch": 0.138, + "grad_norm": 0.7802367210388184, + "learning_rate": 0.00017257257257257257, + "loss": 2.0712, + "step": 1380 + }, + { + "epoch": 0.1385, + "grad_norm": 0.8200580477714539, + "learning_rate": 0.00017247247247247248, + "loss": 2.056, + "step": 1385 + }, + { + "epoch": 0.139, + "grad_norm": 0.8281895518302917, + "learning_rate": 0.0001723723723723724, + "loss": 2.0632, + "step": 1390 + }, + { + "epoch": 0.1395, + "grad_norm": 0.7939669489860535, + "learning_rate": 0.00017227227227227228, + "loss": 2.0628, + "step": 1395 + }, + { + "epoch": 0.14, + "grad_norm": 0.7863283157348633, + "learning_rate": 0.0001721721721721722, + "loss": 2.0593, + "step": 1400 + }, + { + "epoch": 0.1405, + "grad_norm": 0.7744026184082031, + "learning_rate": 0.00017207207207207208, + "loss": 2.0734, + "step": 1405 + }, + { + "epoch": 0.141, + "grad_norm": 0.7912557721138, + "learning_rate": 0.000171971971971972, + "loss": 2.045, + "step": 1410 + }, + { + "epoch": 0.1415, + "grad_norm": 0.8050516843795776, + "learning_rate": 0.00017187187187187188, + "loss": 2.0546, + "step": 1415 + }, + { + "epoch": 0.142, + "grad_norm": 0.7703220248222351, + "learning_rate": 0.00017177177177177177, + "loss": 2.0647, + "step": 1420 + }, + { + "epoch": 0.1425, + "grad_norm": 0.8010295033454895, + "learning_rate": 0.00017167167167167168, + "loss": 2.0556, + "step": 1425 + }, + { + "epoch": 0.143, + "grad_norm": 0.8166594505310059, + "learning_rate": 0.00017157157157157157, + "loss": 2.0691, + "step": 1430 + }, + { + "epoch": 0.1435, + "grad_norm": 0.7984005212783813, + "learning_rate": 0.00017147147147147148, + "loss": 2.0826, + "step": 1435 + }, + { + "epoch": 0.144, + "grad_norm": 0.837327778339386, + "learning_rate": 0.00017137137137137137, + "loss": 2.0631, + "step": 1440 + }, + { + "epoch": 0.1445, + "grad_norm": 0.815968930721283, + "learning_rate": 0.00017127127127127128, + "loss": 2.0457, + "step": 1445 + }, + { + "epoch": 0.145, + "grad_norm": 0.8031236529350281, + "learning_rate": 0.0001711711711711712, + "loss": 2.0685, + "step": 1450 + }, + { + "epoch": 0.1455, + "grad_norm": 0.7846900224685669, + "learning_rate": 0.00017107107107107108, + "loss": 2.0528, + "step": 1455 + }, + { + "epoch": 0.146, + "grad_norm": 0.7788130044937134, + "learning_rate": 0.000170970970970971, + "loss": 2.0667, + "step": 1460 + }, + { + "epoch": 0.1465, + "grad_norm": 0.7862707376480103, + "learning_rate": 0.00017087087087087088, + "loss": 2.068, + "step": 1465 + }, + { + "epoch": 0.147, + "grad_norm": 0.8099005222320557, + "learning_rate": 0.00017077077077077077, + "loss": 2.0689, + "step": 1470 + }, + { + "epoch": 0.1475, + "grad_norm": 0.8044168949127197, + "learning_rate": 0.00017067067067067068, + "loss": 2.07, + "step": 1475 + }, + { + "epoch": 0.148, + "grad_norm": 0.7925140261650085, + "learning_rate": 0.00017057057057057057, + "loss": 2.0628, + "step": 1480 + }, + { + "epoch": 0.1485, + "grad_norm": 0.8262330293655396, + "learning_rate": 0.00017047047047047048, + "loss": 2.0525, + "step": 1485 + }, + { + "epoch": 0.149, + "grad_norm": 0.8038750886917114, + "learning_rate": 0.00017037037037037037, + "loss": 2.057, + "step": 1490 + }, + { + "epoch": 0.1495, + "grad_norm": 0.778914213180542, + "learning_rate": 0.00017027027027027028, + "loss": 2.0714, + "step": 1495 + }, + { + "epoch": 0.15, + "grad_norm": 0.7874584794044495, + "learning_rate": 0.0001701701701701702, + "loss": 2.0799, + "step": 1500 + }, + { + "epoch": 0.1505, + "grad_norm": 0.7739863991737366, + "learning_rate": 0.00017007007007007008, + "loss": 2.03, + "step": 1505 + }, + { + "epoch": 0.151, + "grad_norm": 0.8992478251457214, + "learning_rate": 0.00016996996996997, + "loss": 2.06, + "step": 1510 + }, + { + "epoch": 0.1515, + "grad_norm": 0.7923077344894409, + "learning_rate": 0.00016986986986986988, + "loss": 2.0449, + "step": 1515 + }, + { + "epoch": 0.152, + "grad_norm": 0.8039366006851196, + "learning_rate": 0.00016976976976976977, + "loss": 2.0581, + "step": 1520 + }, + { + "epoch": 0.1525, + "grad_norm": 0.7828361392021179, + "learning_rate": 0.00016966966966966968, + "loss": 2.0525, + "step": 1525 + }, + { + "epoch": 0.153, + "grad_norm": 0.7761391401290894, + "learning_rate": 0.00016956956956956957, + "loss": 2.0407, + "step": 1530 + }, + { + "epoch": 0.1535, + "grad_norm": 0.8189055323600769, + "learning_rate": 0.00016946946946946948, + "loss": 2.0552, + "step": 1535 + }, + { + "epoch": 0.154, + "grad_norm": 0.8271364569664001, + "learning_rate": 0.00016936936936936937, + "loss": 2.07, + "step": 1540 + }, + { + "epoch": 0.1545, + "grad_norm": 0.7701451778411865, + "learning_rate": 0.00016926926926926926, + "loss": 2.0252, + "step": 1545 + }, + { + "epoch": 0.155, + "grad_norm": 0.8270406723022461, + "learning_rate": 0.00016916916916916917, + "loss": 2.0465, + "step": 1550 + }, + { + "epoch": 0.1555, + "grad_norm": 0.8067330121994019, + "learning_rate": 0.00016906906906906908, + "loss": 2.0356, + "step": 1555 + }, + { + "epoch": 0.156, + "grad_norm": 0.870760977268219, + "learning_rate": 0.000168968968968969, + "loss": 2.0276, + "step": 1560 + }, + { + "epoch": 0.1565, + "grad_norm": 0.8015304207801819, + "learning_rate": 0.00016886886886886889, + "loss": 2.0566, + "step": 1565 + }, + { + "epoch": 0.157, + "grad_norm": 0.8079798817634583, + "learning_rate": 0.00016876876876876877, + "loss": 2.0477, + "step": 1570 + }, + { + "epoch": 0.1575, + "grad_norm": 0.7779944539070129, + "learning_rate": 0.00016866866866866869, + "loss": 2.0598, + "step": 1575 + }, + { + "epoch": 0.158, + "grad_norm": 0.8422070145606995, + "learning_rate": 0.00016856856856856857, + "loss": 2.0504, + "step": 1580 + }, + { + "epoch": 0.1585, + "grad_norm": 0.7895457744598389, + "learning_rate": 0.00016846846846846846, + "loss": 2.0323, + "step": 1585 + }, + { + "epoch": 0.159, + "grad_norm": 0.8140113949775696, + "learning_rate": 0.00016836836836836837, + "loss": 2.0498, + "step": 1590 + }, + { + "epoch": 0.1595, + "grad_norm": 0.7975071668624878, + "learning_rate": 0.00016826826826826826, + "loss": 2.0647, + "step": 1595 + }, + { + "epoch": 0.16, + "grad_norm": 0.797199010848999, + "learning_rate": 0.00016816816816816817, + "loss": 2.0437, + "step": 1600 + }, + { + "epoch": 0.1605, + "grad_norm": 0.7758844494819641, + "learning_rate": 0.00016806806806806809, + "loss": 2.0531, + "step": 1605 + }, + { + "epoch": 0.161, + "grad_norm": 0.7931090593338013, + "learning_rate": 0.00016796796796796797, + "loss": 2.0446, + "step": 1610 + }, + { + "epoch": 0.1615, + "grad_norm": 0.7633284330368042, + "learning_rate": 0.0001678678678678679, + "loss": 2.0602, + "step": 1615 + }, + { + "epoch": 0.162, + "grad_norm": 0.8108896017074585, + "learning_rate": 0.00016776776776776777, + "loss": 2.0388, + "step": 1620 + }, + { + "epoch": 0.1625, + "grad_norm": 0.7830617427825928, + "learning_rate": 0.0001676676676676677, + "loss": 2.0684, + "step": 1625 + }, + { + "epoch": 0.163, + "grad_norm": 0.8587239980697632, + "learning_rate": 0.00016756756756756757, + "loss": 2.0365, + "step": 1630 + }, + { + "epoch": 0.1635, + "grad_norm": 0.8472581505775452, + "learning_rate": 0.00016746746746746746, + "loss": 2.0522, + "step": 1635 + }, + { + "epoch": 0.164, + "grad_norm": 0.9151282906532288, + "learning_rate": 0.00016736736736736737, + "loss": 2.0582, + "step": 1640 + }, + { + "epoch": 0.1645, + "grad_norm": 0.8431873321533203, + "learning_rate": 0.00016726726726726726, + "loss": 2.0476, + "step": 1645 + }, + { + "epoch": 0.165, + "grad_norm": 0.7887601256370544, + "learning_rate": 0.00016716716716716717, + "loss": 2.0366, + "step": 1650 + }, + { + "epoch": 0.1655, + "grad_norm": 0.7875514626502991, + "learning_rate": 0.00016706706706706706, + "loss": 2.0561, + "step": 1655 + }, + { + "epoch": 0.166, + "grad_norm": 0.8043152689933777, + "learning_rate": 0.00016696696696696697, + "loss": 2.0388, + "step": 1660 + }, + { + "epoch": 0.1665, + "grad_norm": 0.7784465551376343, + "learning_rate": 0.0001668668668668669, + "loss": 2.0407, + "step": 1665 + }, + { + "epoch": 0.167, + "grad_norm": 0.7523636221885681, + "learning_rate": 0.00016676676676676677, + "loss": 2.0507, + "step": 1670 + }, + { + "epoch": 0.1675, + "grad_norm": 0.7890161871910095, + "learning_rate": 0.0001666666666666667, + "loss": 2.0511, + "step": 1675 + }, + { + "epoch": 0.168, + "grad_norm": 0.7951382994651794, + "learning_rate": 0.00016656656656656657, + "loss": 2.0126, + "step": 1680 + }, + { + "epoch": 0.1685, + "grad_norm": 0.8491453528404236, + "learning_rate": 0.00016646646646646646, + "loss": 2.0325, + "step": 1685 + }, + { + "epoch": 0.169, + "grad_norm": 0.7883369326591492, + "learning_rate": 0.00016636636636636638, + "loss": 2.0238, + "step": 1690 + }, + { + "epoch": 0.1695, + "grad_norm": 0.848307192325592, + "learning_rate": 0.00016626626626626626, + "loss": 2.0335, + "step": 1695 + }, + { + "epoch": 0.17, + "grad_norm": 0.7763209939002991, + "learning_rate": 0.00016616616616616618, + "loss": 2.0511, + "step": 1700 + }, + { + "epoch": 0.1705, + "grad_norm": 0.7731834650039673, + "learning_rate": 0.00016606606606606606, + "loss": 2.0417, + "step": 1705 + }, + { + "epoch": 0.171, + "grad_norm": 0.7851327657699585, + "learning_rate": 0.00016596596596596598, + "loss": 2.031, + "step": 1710 + }, + { + "epoch": 0.1715, + "grad_norm": 0.794136106967926, + "learning_rate": 0.0001658658658658659, + "loss": 2.03, + "step": 1715 + }, + { + "epoch": 0.172, + "grad_norm": 0.7943106293678284, + "learning_rate": 0.00016576576576576578, + "loss": 2.0273, + "step": 1720 + }, + { + "epoch": 0.1725, + "grad_norm": 0.7772659659385681, + "learning_rate": 0.0001656656656656657, + "loss": 2.0424, + "step": 1725 + }, + { + "epoch": 0.173, + "grad_norm": 0.7858376502990723, + "learning_rate": 0.00016556556556556558, + "loss": 2.0309, + "step": 1730 + }, + { + "epoch": 0.1735, + "grad_norm": 0.7929664850234985, + "learning_rate": 0.00016546546546546546, + "loss": 2.0399, + "step": 1735 + }, + { + "epoch": 0.174, + "grad_norm": 0.7890056371688843, + "learning_rate": 0.00016536536536536538, + "loss": 2.0413, + "step": 1740 + }, + { + "epoch": 0.1745, + "grad_norm": 0.7757844924926758, + "learning_rate": 0.00016526526526526526, + "loss": 2.0487, + "step": 1745 + }, + { + "epoch": 0.175, + "grad_norm": 0.7959721088409424, + "learning_rate": 0.00016516516516516518, + "loss": 2.0366, + "step": 1750 + }, + { + "epoch": 0.1755, + "grad_norm": 0.7847658395767212, + "learning_rate": 0.00016506506506506506, + "loss": 2.0465, + "step": 1755 + }, + { + "epoch": 0.176, + "grad_norm": 0.748741865158081, + "learning_rate": 0.00016496496496496495, + "loss": 2.0494, + "step": 1760 + }, + { + "epoch": 0.1765, + "grad_norm": 0.7750582695007324, + "learning_rate": 0.00016486486486486486, + "loss": 2.0386, + "step": 1765 + }, + { + "epoch": 0.177, + "grad_norm": 0.7988344430923462, + "learning_rate": 0.00016476476476476478, + "loss": 2.0332, + "step": 1770 + }, + { + "epoch": 0.1775, + "grad_norm": 0.821477472782135, + "learning_rate": 0.0001646646646646647, + "loss": 2.0233, + "step": 1775 + }, + { + "epoch": 0.178, + "grad_norm": 0.8394650220870972, + "learning_rate": 0.00016456456456456458, + "loss": 2.0463, + "step": 1780 + }, + { + "epoch": 0.1785, + "grad_norm": 0.8799570798873901, + "learning_rate": 0.00016446446446446446, + "loss": 2.0214, + "step": 1785 + }, + { + "epoch": 0.179, + "grad_norm": 0.8210110068321228, + "learning_rate": 0.00016436436436436438, + "loss": 2.025, + "step": 1790 + }, + { + "epoch": 0.1795, + "grad_norm": 0.7694400548934937, + "learning_rate": 0.00016426426426426426, + "loss": 2.0122, + "step": 1795 + }, + { + "epoch": 0.18, + "grad_norm": 0.7861407995223999, + "learning_rate": 0.00016416416416416418, + "loss": 2.0387, + "step": 1800 + }, + { + "epoch": 0.1805, + "grad_norm": 0.8013924360275269, + "learning_rate": 0.00016406406406406406, + "loss": 2.0425, + "step": 1805 + }, + { + "epoch": 0.181, + "grad_norm": 0.7965100407600403, + "learning_rate": 0.00016396396396396395, + "loss": 2.0312, + "step": 1810 + }, + { + "epoch": 0.1815, + "grad_norm": 0.7945120930671692, + "learning_rate": 0.00016386386386386387, + "loss": 2.0201, + "step": 1815 + }, + { + "epoch": 0.182, + "grad_norm": 0.7594983577728271, + "learning_rate": 0.00016376376376376378, + "loss": 2.018, + "step": 1820 + }, + { + "epoch": 0.1825, + "grad_norm": 0.7923123240470886, + "learning_rate": 0.0001636636636636637, + "loss": 2.0128, + "step": 1825 + }, + { + "epoch": 0.183, + "grad_norm": 0.7755590081214905, + "learning_rate": 0.00016356356356356358, + "loss": 2.05, + "step": 1830 + }, + { + "epoch": 0.1835, + "grad_norm": 0.7651676535606384, + "learning_rate": 0.00016346346346346347, + "loss": 2.0239, + "step": 1835 + }, + { + "epoch": 0.184, + "grad_norm": 0.7822082042694092, + "learning_rate": 0.00016336336336336338, + "loss": 2.0271, + "step": 1840 + }, + { + "epoch": 0.1845, + "grad_norm": 0.7861602306365967, + "learning_rate": 0.00016326326326326327, + "loss": 2.0329, + "step": 1845 + }, + { + "epoch": 0.185, + "grad_norm": 0.7773391604423523, + "learning_rate": 0.00016316316316316318, + "loss": 2.0167, + "step": 1850 + }, + { + "epoch": 0.1855, + "grad_norm": 0.7753078937530518, + "learning_rate": 0.00016306306306306307, + "loss": 2.0392, + "step": 1855 + }, + { + "epoch": 0.186, + "grad_norm": 0.7742039561271667, + "learning_rate": 0.00016296296296296295, + "loss": 2.0163, + "step": 1860 + }, + { + "epoch": 0.1865, + "grad_norm": 0.7700342535972595, + "learning_rate": 0.00016286286286286287, + "loss": 2.0273, + "step": 1865 + }, + { + "epoch": 0.187, + "grad_norm": 0.7967638373374939, + "learning_rate": 0.00016276276276276275, + "loss": 2.0295, + "step": 1870 + }, + { + "epoch": 0.1875, + "grad_norm": 0.7784233689308167, + "learning_rate": 0.00016266266266266267, + "loss": 2.0112, + "step": 1875 + }, + { + "epoch": 0.188, + "grad_norm": 0.7581600546836853, + "learning_rate": 0.00016256256256256258, + "loss": 2.045, + "step": 1880 + }, + { + "epoch": 0.1885, + "grad_norm": 0.7855777144432068, + "learning_rate": 0.00016246246246246247, + "loss": 2.018, + "step": 1885 + }, + { + "epoch": 0.189, + "grad_norm": 0.7643173336982727, + "learning_rate": 0.00016236236236236238, + "loss": 2.0338, + "step": 1890 + }, + { + "epoch": 0.1895, + "grad_norm": 0.7671994566917419, + "learning_rate": 0.00016226226226226227, + "loss": 2.0306, + "step": 1895 + }, + { + "epoch": 0.19, + "grad_norm": 0.7719835638999939, + "learning_rate": 0.00016216216216216218, + "loss": 2.0347, + "step": 1900 + }, + { + "epoch": 0.1905, + "grad_norm": 0.7854582667350769, + "learning_rate": 0.00016206206206206207, + "loss": 2.0025, + "step": 1905 + }, + { + "epoch": 0.191, + "grad_norm": 0.7874001264572144, + "learning_rate": 0.00016196196196196195, + "loss": 2.0113, + "step": 1910 + }, + { + "epoch": 0.1915, + "grad_norm": 0.7835874557495117, + "learning_rate": 0.00016186186186186187, + "loss": 1.9983, + "step": 1915 + }, + { + "epoch": 0.192, + "grad_norm": 0.7952415943145752, + "learning_rate": 0.00016176176176176175, + "loss": 2.015, + "step": 1920 + }, + { + "epoch": 0.1925, + "grad_norm": 0.8112797737121582, + "learning_rate": 0.00016166166166166167, + "loss": 2.0433, + "step": 1925 + }, + { + "epoch": 0.193, + "grad_norm": 0.7716769576072693, + "learning_rate": 0.00016156156156156158, + "loss": 2.0229, + "step": 1930 + }, + { + "epoch": 0.1935, + "grad_norm": 0.8018927574157715, + "learning_rate": 0.00016146146146146147, + "loss": 2.0194, + "step": 1935 + }, + { + "epoch": 0.194, + "grad_norm": 0.8140080571174622, + "learning_rate": 0.00016136136136136138, + "loss": 2.0195, + "step": 1940 + }, + { + "epoch": 0.1945, + "grad_norm": 0.7923764586448669, + "learning_rate": 0.00016126126126126127, + "loss": 2.0137, + "step": 1945 + }, + { + "epoch": 0.195, + "grad_norm": 0.8428927659988403, + "learning_rate": 0.00016116116116116118, + "loss": 2.0238, + "step": 1950 + }, + { + "epoch": 0.1955, + "grad_norm": 0.8145603537559509, + "learning_rate": 0.00016106106106106107, + "loss": 2.0129, + "step": 1955 + }, + { + "epoch": 0.196, + "grad_norm": 0.8989366888999939, + "learning_rate": 0.00016096096096096096, + "loss": 2.0275, + "step": 1960 + }, + { + "epoch": 0.1965, + "grad_norm": 0.8182039856910706, + "learning_rate": 0.00016086086086086087, + "loss": 2.0044, + "step": 1965 + }, + { + "epoch": 0.197, + "grad_norm": 0.8926301002502441, + "learning_rate": 0.00016076076076076076, + "loss": 2.0147, + "step": 1970 + }, + { + "epoch": 0.1975, + "grad_norm": 0.7725608348846436, + "learning_rate": 0.00016066066066066067, + "loss": 2.0172, + "step": 1975 + }, + { + "epoch": 0.198, + "grad_norm": 0.8739742040634155, + "learning_rate": 0.00016056056056056056, + "loss": 2.0245, + "step": 1980 + }, + { + "epoch": 0.1985, + "grad_norm": 0.8591052293777466, + "learning_rate": 0.00016046046046046047, + "loss": 1.9968, + "step": 1985 + }, + { + "epoch": 0.199, + "grad_norm": 0.7801085114479065, + "learning_rate": 0.00016036036036036038, + "loss": 2.0064, + "step": 1990 + }, + { + "epoch": 0.1995, + "grad_norm": 0.8598971366882324, + "learning_rate": 0.00016026026026026027, + "loss": 2.0307, + "step": 1995 + }, + { + "epoch": 0.2, + "grad_norm": 0.8810726404190063, + "learning_rate": 0.00016016016016016018, + "loss": 2.0129, + "step": 2000 + }, + { + "epoch": 0.2005, + "grad_norm": 0.8133185505867004, + "learning_rate": 0.00016006006006006007, + "loss": 2.0047, + "step": 2005 + }, + { + "epoch": 0.201, + "grad_norm": 0.8219152688980103, + "learning_rate": 0.00015995995995995996, + "loss": 2.0311, + "step": 2010 + }, + { + "epoch": 0.2015, + "grad_norm": 0.7896487712860107, + "learning_rate": 0.00015985985985985987, + "loss": 2.0247, + "step": 2015 + }, + { + "epoch": 0.202, + "grad_norm": 0.9305662512779236, + "learning_rate": 0.00015975975975975976, + "loss": 2.0446, + "step": 2020 + }, + { + "epoch": 0.2025, + "grad_norm": 0.8045963644981384, + "learning_rate": 0.00015965965965965967, + "loss": 2.0093, + "step": 2025 + }, + { + "epoch": 0.203, + "grad_norm": 0.8537754416465759, + "learning_rate": 0.00015955955955955956, + "loss": 2.0215, + "step": 2030 + }, + { + "epoch": 0.2035, + "grad_norm": 0.7994036674499512, + "learning_rate": 0.00015945945945945947, + "loss": 1.997, + "step": 2035 + }, + { + "epoch": 0.204, + "grad_norm": 0.7729703187942505, + "learning_rate": 0.00015935935935935938, + "loss": 2.0095, + "step": 2040 + }, + { + "epoch": 0.2045, + "grad_norm": 0.7706931233406067, + "learning_rate": 0.00015925925925925927, + "loss": 2.029, + "step": 2045 + }, + { + "epoch": 0.205, + "grad_norm": 0.7798938155174255, + "learning_rate": 0.00015915915915915919, + "loss": 2.0325, + "step": 2050 + }, + { + "epoch": 0.2055, + "grad_norm": 0.7870948314666748, + "learning_rate": 0.00015905905905905907, + "loss": 2.0282, + "step": 2055 + }, + { + "epoch": 0.206, + "grad_norm": 0.8591163158416748, + "learning_rate": 0.00015895895895895896, + "loss": 2.0183, + "step": 2060 + }, + { + "epoch": 0.2065, + "grad_norm": 0.8115944862365723, + "learning_rate": 0.00015885885885885887, + "loss": 2.0131, + "step": 2065 + }, + { + "epoch": 0.207, + "grad_norm": 0.7475624680519104, + "learning_rate": 0.00015875875875875876, + "loss": 2.0175, + "step": 2070 + }, + { + "epoch": 0.2075, + "grad_norm": 0.7941943407058716, + "learning_rate": 0.00015865865865865867, + "loss": 2.0288, + "step": 2075 + }, + { + "epoch": 0.208, + "grad_norm": 0.7347163558006287, + "learning_rate": 0.00015855855855855856, + "loss": 1.9898, + "step": 2080 + }, + { + "epoch": 0.2085, + "grad_norm": 0.757885217666626, + "learning_rate": 0.00015845845845845845, + "loss": 1.9989, + "step": 2085 + }, + { + "epoch": 0.209, + "grad_norm": 0.7636198401451111, + "learning_rate": 0.00015835835835835836, + "loss": 2.0141, + "step": 2090 + }, + { + "epoch": 0.2095, + "grad_norm": 0.8460286855697632, + "learning_rate": 0.00015825825825825827, + "loss": 1.9916, + "step": 2095 + }, + { + "epoch": 0.21, + "grad_norm": 0.7832396626472473, + "learning_rate": 0.0001581581581581582, + "loss": 2.0153, + "step": 2100 + }, + { + "epoch": 0.2105, + "grad_norm": 0.7886310815811157, + "learning_rate": 0.00015805805805805807, + "loss": 2.0428, + "step": 2105 + }, + { + "epoch": 0.211, + "grad_norm": 0.7736825942993164, + "learning_rate": 0.00015795795795795796, + "loss": 2.0113, + "step": 2110 + }, + { + "epoch": 0.2115, + "grad_norm": 0.7903079986572266, + "learning_rate": 0.00015785785785785787, + "loss": 2.0105, + "step": 2115 + }, + { + "epoch": 0.212, + "grad_norm": 0.8193835616111755, + "learning_rate": 0.00015775775775775776, + "loss": 2.0123, + "step": 2120 + }, + { + "epoch": 0.2125, + "grad_norm": 0.8024186491966248, + "learning_rate": 0.00015765765765765767, + "loss": 2.0069, + "step": 2125 + }, + { + "epoch": 0.213, + "grad_norm": 0.7742881178855896, + "learning_rate": 0.00015755755755755756, + "loss": 2.0106, + "step": 2130 + }, + { + "epoch": 0.2135, + "grad_norm": 0.8352553844451904, + "learning_rate": 0.00015745745745745745, + "loss": 1.9989, + "step": 2135 + }, + { + "epoch": 0.214, + "grad_norm": 0.7888927459716797, + "learning_rate": 0.00015735735735735736, + "loss": 1.9939, + "step": 2140 + }, + { + "epoch": 0.2145, + "grad_norm": 0.811654806137085, + "learning_rate": 0.00015725725725725727, + "loss": 2.0194, + "step": 2145 + }, + { + "epoch": 0.215, + "grad_norm": 0.8414866924285889, + "learning_rate": 0.0001571571571571572, + "loss": 1.9964, + "step": 2150 + }, + { + "epoch": 0.2155, + "grad_norm": 0.7777667045593262, + "learning_rate": 0.00015705705705705707, + "loss": 2.0231, + "step": 2155 + }, + { + "epoch": 0.216, + "grad_norm": 0.782187819480896, + "learning_rate": 0.00015695695695695696, + "loss": 2.0235, + "step": 2160 + }, + { + "epoch": 0.2165, + "grad_norm": 0.7661353945732117, + "learning_rate": 0.00015685685685685687, + "loss": 1.9932, + "step": 2165 + }, + { + "epoch": 0.217, + "grad_norm": 0.8571522235870361, + "learning_rate": 0.00015675675675675676, + "loss": 2.017, + "step": 2170 + }, + { + "epoch": 0.2175, + "grad_norm": 0.795987606048584, + "learning_rate": 0.00015665665665665668, + "loss": 2.0095, + "step": 2175 + }, + { + "epoch": 0.218, + "grad_norm": 0.788629412651062, + "learning_rate": 0.00015655655655655656, + "loss": 1.9961, + "step": 2180 + }, + { + "epoch": 0.2185, + "grad_norm": 0.7576528787612915, + "learning_rate": 0.00015645645645645645, + "loss": 1.9911, + "step": 2185 + }, + { + "epoch": 0.219, + "grad_norm": 0.7708572149276733, + "learning_rate": 0.00015635635635635636, + "loss": 1.9792, + "step": 2190 + }, + { + "epoch": 0.2195, + "grad_norm": 0.8041749000549316, + "learning_rate": 0.00015625625625625625, + "loss": 2.006, + "step": 2195 + }, + { + "epoch": 0.22, + "grad_norm": 0.8431360125541687, + "learning_rate": 0.00015615615615615616, + "loss": 2.0173, + "step": 2200 + }, + { + "epoch": 0.2205, + "grad_norm": 0.8387967348098755, + "learning_rate": 0.00015605605605605608, + "loss": 1.9973, + "step": 2205 + }, + { + "epoch": 0.221, + "grad_norm": 0.8072513341903687, + "learning_rate": 0.00015595595595595596, + "loss": 1.9921, + "step": 2210 + }, + { + "epoch": 0.2215, + "grad_norm": 0.8014965057373047, + "learning_rate": 0.00015585585585585588, + "loss": 1.9881, + "step": 2215 + }, + { + "epoch": 0.222, + "grad_norm": 0.7723069787025452, + "learning_rate": 0.00015575575575575576, + "loss": 1.9993, + "step": 2220 + }, + { + "epoch": 0.2225, + "grad_norm": 0.8190085887908936, + "learning_rate": 0.00015565565565565565, + "loss": 2.0015, + "step": 2225 + }, + { + "epoch": 0.223, + "grad_norm": 0.7893680334091187, + "learning_rate": 0.00015555555555555556, + "loss": 1.9983, + "step": 2230 + }, + { + "epoch": 0.2235, + "grad_norm": 0.7632356286048889, + "learning_rate": 0.00015545545545545545, + "loss": 2.0039, + "step": 2235 + }, + { + "epoch": 0.224, + "grad_norm": 0.7753027677536011, + "learning_rate": 0.00015535535535535536, + "loss": 1.9878, + "step": 2240 + }, + { + "epoch": 0.2245, + "grad_norm": 0.7894906997680664, + "learning_rate": 0.00015525525525525525, + "loss": 1.997, + "step": 2245 + }, + { + "epoch": 0.225, + "grad_norm": 0.8126510977745056, + "learning_rate": 0.00015515515515515516, + "loss": 1.9966, + "step": 2250 + }, + { + "epoch": 0.2255, + "grad_norm": 0.8427388668060303, + "learning_rate": 0.00015505505505505508, + "loss": 2.0033, + "step": 2255 + }, + { + "epoch": 0.226, + "grad_norm": 0.8301752805709839, + "learning_rate": 0.00015495495495495496, + "loss": 2.0081, + "step": 2260 + }, + { + "epoch": 0.2265, + "grad_norm": 0.7624394297599792, + "learning_rate": 0.00015485485485485488, + "loss": 2.0072, + "step": 2265 + }, + { + "epoch": 0.227, + "grad_norm": 0.7501481175422668, + "learning_rate": 0.00015475475475475476, + "loss": 2.0077, + "step": 2270 + }, + { + "epoch": 0.2275, + "grad_norm": 0.7723734378814697, + "learning_rate": 0.00015465465465465465, + "loss": 1.9989, + "step": 2275 + }, + { + "epoch": 0.228, + "grad_norm": 0.7647537589073181, + "learning_rate": 0.00015455455455455456, + "loss": 1.9978, + "step": 2280 + }, + { + "epoch": 0.2285, + "grad_norm": 0.7880849838256836, + "learning_rate": 0.00015445445445445445, + "loss": 1.9774, + "step": 2285 + }, + { + "epoch": 0.229, + "grad_norm": 0.7714458107948303, + "learning_rate": 0.00015435435435435436, + "loss": 1.9799, + "step": 2290 + }, + { + "epoch": 0.2295, + "grad_norm": 0.7856618762016296, + "learning_rate": 0.00015425425425425425, + "loss": 1.9794, + "step": 2295 + }, + { + "epoch": 0.23, + "grad_norm": 0.813881516456604, + "learning_rate": 0.00015415415415415414, + "loss": 2.0075, + "step": 2300 + }, + { + "epoch": 0.2305, + "grad_norm": 0.7762358784675598, + "learning_rate": 0.00015405405405405405, + "loss": 2.0185, + "step": 2305 + }, + { + "epoch": 0.231, + "grad_norm": 0.766732931137085, + "learning_rate": 0.00015395395395395397, + "loss": 1.9986, + "step": 2310 + }, + { + "epoch": 0.2315, + "grad_norm": 0.7683066129684448, + "learning_rate": 0.00015385385385385388, + "loss": 2.0131, + "step": 2315 + }, + { + "epoch": 0.232, + "grad_norm": 0.7804152369499207, + "learning_rate": 0.00015375375375375377, + "loss": 2.0089, + "step": 2320 + }, + { + "epoch": 0.2325, + "grad_norm": 0.7836987376213074, + "learning_rate": 0.00015365365365365365, + "loss": 1.9976, + "step": 2325 + }, + { + "epoch": 0.233, + "grad_norm": 0.823605477809906, + "learning_rate": 0.00015355355355355357, + "loss": 2.0005, + "step": 2330 + }, + { + "epoch": 0.2335, + "grad_norm": 0.8343596458435059, + "learning_rate": 0.00015345345345345345, + "loss": 2.015, + "step": 2335 + }, + { + "epoch": 0.234, + "grad_norm": 0.8635172247886658, + "learning_rate": 0.00015335335335335337, + "loss": 2.0002, + "step": 2340 + }, + { + "epoch": 0.2345, + "grad_norm": 0.840971052646637, + "learning_rate": 0.00015325325325325325, + "loss": 1.9847, + "step": 2345 + }, + { + "epoch": 0.235, + "grad_norm": 0.888761043548584, + "learning_rate": 0.00015315315315315314, + "loss": 1.9879, + "step": 2350 + }, + { + "epoch": 0.2355, + "grad_norm": 0.7987576723098755, + "learning_rate": 0.00015305305305305305, + "loss": 1.9885, + "step": 2355 + }, + { + "epoch": 0.236, + "grad_norm": 0.781504213809967, + "learning_rate": 0.00015295295295295297, + "loss": 1.9891, + "step": 2360 + }, + { + "epoch": 0.2365, + "grad_norm": 0.8169000148773193, + "learning_rate": 0.00015285285285285288, + "loss": 1.974, + "step": 2365 + }, + { + "epoch": 0.237, + "grad_norm": 0.764177680015564, + "learning_rate": 0.00015275275275275277, + "loss": 1.974, + "step": 2370 + }, + { + "epoch": 0.2375, + "grad_norm": 0.8093706369400024, + "learning_rate": 0.00015265265265265265, + "loss": 1.9897, + "step": 2375 + }, + { + "epoch": 0.238, + "grad_norm": 0.8349776268005371, + "learning_rate": 0.00015255255255255257, + "loss": 2.0002, + "step": 2380 + }, + { + "epoch": 0.2385, + "grad_norm": 0.831120491027832, + "learning_rate": 0.00015245245245245245, + "loss": 1.9978, + "step": 2385 + }, + { + "epoch": 0.239, + "grad_norm": 0.79282546043396, + "learning_rate": 0.00015235235235235237, + "loss": 2.003, + "step": 2390 + }, + { + "epoch": 0.2395, + "grad_norm": 0.7896937727928162, + "learning_rate": 0.00015225225225225225, + "loss": 1.9832, + "step": 2395 + }, + { + "epoch": 0.24, + "grad_norm": 0.7645019292831421, + "learning_rate": 0.00015215215215215214, + "loss": 1.983, + "step": 2400 + }, + { + "epoch": 0.2405, + "grad_norm": 0.809862494468689, + "learning_rate": 0.00015205205205205205, + "loss": 1.9912, + "step": 2405 + }, + { + "epoch": 0.241, + "grad_norm": 0.7760394215583801, + "learning_rate": 0.00015195195195195194, + "loss": 1.978, + "step": 2410 + }, + { + "epoch": 0.2415, + "grad_norm": 0.8623340129852295, + "learning_rate": 0.00015185185185185185, + "loss": 1.9902, + "step": 2415 + }, + { + "epoch": 0.242, + "grad_norm": 0.8047596216201782, + "learning_rate": 0.00015175175175175177, + "loss": 2.011, + "step": 2420 + }, + { + "epoch": 0.2425, + "grad_norm": 0.7739080786705017, + "learning_rate": 0.00015165165165165165, + "loss": 1.981, + "step": 2425 + }, + { + "epoch": 0.243, + "grad_norm": 0.7927338480949402, + "learning_rate": 0.00015155155155155157, + "loss": 1.9814, + "step": 2430 + }, + { + "epoch": 0.2435, + "grad_norm": 0.8810697197914124, + "learning_rate": 0.00015145145145145146, + "loss": 1.9664, + "step": 2435 + }, + { + "epoch": 0.244, + "grad_norm": 0.860685408115387, + "learning_rate": 0.00015135135135135137, + "loss": 1.9842, + "step": 2440 + }, + { + "epoch": 0.2445, + "grad_norm": 0.9384279847145081, + "learning_rate": 0.00015125125125125126, + "loss": 1.9657, + "step": 2445 + }, + { + "epoch": 0.245, + "grad_norm": 0.9265758395195007, + "learning_rate": 0.00015115115115115114, + "loss": 1.99, + "step": 2450 + }, + { + "epoch": 0.2455, + "grad_norm": 0.8147779703140259, + "learning_rate": 0.00015105105105105106, + "loss": 1.9825, + "step": 2455 + }, + { + "epoch": 0.246, + "grad_norm": 0.7943310141563416, + "learning_rate": 0.00015095095095095094, + "loss": 1.9886, + "step": 2460 + }, + { + "epoch": 0.2465, + "grad_norm": 0.8120606541633606, + "learning_rate": 0.00015085085085085086, + "loss": 1.9716, + "step": 2465 + }, + { + "epoch": 0.247, + "grad_norm": 0.7622060179710388, + "learning_rate": 0.00015075075075075077, + "loss": 1.9959, + "step": 2470 + }, + { + "epoch": 0.2475, + "grad_norm": 0.8406639695167542, + "learning_rate": 0.00015065065065065066, + "loss": 1.9895, + "step": 2475 + }, + { + "epoch": 0.248, + "grad_norm": 0.786904513835907, + "learning_rate": 0.00015055055055055057, + "loss": 1.989, + "step": 2480 + }, + { + "epoch": 0.2485, + "grad_norm": 0.8092778325080872, + "learning_rate": 0.00015045045045045046, + "loss": 1.9998, + "step": 2485 + }, + { + "epoch": 0.249, + "grad_norm": 0.826165497303009, + "learning_rate": 0.00015035035035035037, + "loss": 2.0039, + "step": 2490 + }, + { + "epoch": 0.2495, + "grad_norm": 0.786272406578064, + "learning_rate": 0.00015025025025025026, + "loss": 1.9731, + "step": 2495 + }, + { + "epoch": 0.25, + "grad_norm": 0.7633465528488159, + "learning_rate": 0.00015015015015015014, + "loss": 1.982, + "step": 2500 + }, + { + "epoch": 0.2505, + "grad_norm": 0.7651098966598511, + "learning_rate": 0.00015005005005005006, + "loss": 1.9942, + "step": 2505 + }, + { + "epoch": 0.251, + "grad_norm": 0.785978376865387, + "learning_rate": 0.00014994994994994994, + "loss": 2.0017, + "step": 2510 + }, + { + "epoch": 0.2515, + "grad_norm": 0.8050821423530579, + "learning_rate": 0.00014984984984984986, + "loss": 1.9862, + "step": 2515 + }, + { + "epoch": 0.252, + "grad_norm": 0.8367516398429871, + "learning_rate": 0.00014974974974974974, + "loss": 1.9739, + "step": 2520 + }, + { + "epoch": 0.2525, + "grad_norm": 0.8357223272323608, + "learning_rate": 0.00014964964964964966, + "loss": 2.0004, + "step": 2525 + }, + { + "epoch": 0.253, + "grad_norm": 0.8153281211853027, + "learning_rate": 0.00014954954954954957, + "loss": 1.972, + "step": 2530 + }, + { + "epoch": 0.2535, + "grad_norm": 0.784550130367279, + "learning_rate": 0.00014944944944944946, + "loss": 1.9746, + "step": 2535 + }, + { + "epoch": 0.254, + "grad_norm": 0.8016824126243591, + "learning_rate": 0.00014934934934934937, + "loss": 1.9947, + "step": 2540 + }, + { + "epoch": 0.2545, + "grad_norm": 0.767263650894165, + "learning_rate": 0.00014924924924924926, + "loss": 1.9629, + "step": 2545 + }, + { + "epoch": 0.255, + "grad_norm": 0.7741748690605164, + "learning_rate": 0.00014914914914914914, + "loss": 1.9824, + "step": 2550 + }, + { + "epoch": 0.2555, + "grad_norm": 0.7979781627655029, + "learning_rate": 0.00014904904904904906, + "loss": 1.9689, + "step": 2555 + }, + { + "epoch": 0.256, + "grad_norm": 0.7703980207443237, + "learning_rate": 0.00014894894894894895, + "loss": 1.9789, + "step": 2560 + }, + { + "epoch": 0.2565, + "grad_norm": 0.7330608367919922, + "learning_rate": 0.00014884884884884886, + "loss": 1.9837, + "step": 2565 + }, + { + "epoch": 0.257, + "grad_norm": 0.8055962324142456, + "learning_rate": 0.00014874874874874875, + "loss": 1.9865, + "step": 2570 + }, + { + "epoch": 0.2575, + "grad_norm": 0.7900416254997253, + "learning_rate": 0.00014864864864864866, + "loss": 1.9916, + "step": 2575 + }, + { + "epoch": 0.258, + "grad_norm": 0.8404157161712646, + "learning_rate": 0.00014854854854854857, + "loss": 1.9719, + "step": 2580 + }, + { + "epoch": 0.2585, + "grad_norm": 0.8460199236869812, + "learning_rate": 0.00014844844844844846, + "loss": 1.9903, + "step": 2585 + }, + { + "epoch": 0.259, + "grad_norm": 0.771557092666626, + "learning_rate": 0.00014834834834834837, + "loss": 1.9923, + "step": 2590 + }, + { + "epoch": 0.2595, + "grad_norm": 0.8946308493614197, + "learning_rate": 0.00014824824824824826, + "loss": 1.9886, + "step": 2595 + }, + { + "epoch": 0.26, + "grad_norm": 0.813717782497406, + "learning_rate": 0.00014814814814814815, + "loss": 2.0069, + "step": 2600 + }, + { + "epoch": 0.2605, + "grad_norm": 0.8274906277656555, + "learning_rate": 0.00014804804804804806, + "loss": 1.9853, + "step": 2605 + }, + { + "epoch": 0.261, + "grad_norm": 0.7455735802650452, + "learning_rate": 0.00014794794794794795, + "loss": 1.9851, + "step": 2610 + }, + { + "epoch": 0.2615, + "grad_norm": 0.7664053440093994, + "learning_rate": 0.00014784784784784786, + "loss": 2.0061, + "step": 2615 + }, + { + "epoch": 0.262, + "grad_norm": 0.7694225311279297, + "learning_rate": 0.00014774774774774775, + "loss": 1.9826, + "step": 2620 + }, + { + "epoch": 0.2625, + "grad_norm": 0.8089345097541809, + "learning_rate": 0.00014764764764764763, + "loss": 1.9734, + "step": 2625 + }, + { + "epoch": 0.263, + "grad_norm": 0.8007687926292419, + "learning_rate": 0.00014754754754754755, + "loss": 1.9949, + "step": 2630 + }, + { + "epoch": 0.2635, + "grad_norm": 0.8104939460754395, + "learning_rate": 0.00014744744744744746, + "loss": 1.9826, + "step": 2635 + }, + { + "epoch": 0.264, + "grad_norm": 0.7715001106262207, + "learning_rate": 0.00014734734734734737, + "loss": 1.9773, + "step": 2640 + }, + { + "epoch": 0.2645, + "grad_norm": 0.8055933713912964, + "learning_rate": 0.00014724724724724726, + "loss": 1.9919, + "step": 2645 + }, + { + "epoch": 0.265, + "grad_norm": 0.7547632455825806, + "learning_rate": 0.00014714714714714715, + "loss": 1.9808, + "step": 2650 + }, + { + "epoch": 0.2655, + "grad_norm": 0.7735660076141357, + "learning_rate": 0.00014704704704704706, + "loss": 1.9856, + "step": 2655 + }, + { + "epoch": 0.266, + "grad_norm": 0.773932933807373, + "learning_rate": 0.00014694694694694695, + "loss": 1.9599, + "step": 2660 + }, + { + "epoch": 0.2665, + "grad_norm": 0.7784350514411926, + "learning_rate": 0.00014684684684684686, + "loss": 1.9867, + "step": 2665 + }, + { + "epoch": 0.267, + "grad_norm": 0.8424972295761108, + "learning_rate": 0.00014674674674674675, + "loss": 1.9754, + "step": 2670 + }, + { + "epoch": 0.2675, + "grad_norm": 0.7852407693862915, + "learning_rate": 0.00014664664664664663, + "loss": 1.9882, + "step": 2675 + }, + { + "epoch": 0.268, + "grad_norm": 0.8432037830352783, + "learning_rate": 0.00014654654654654655, + "loss": 1.9781, + "step": 2680 + }, + { + "epoch": 0.2685, + "grad_norm": 0.7774507999420166, + "learning_rate": 0.00014644644644644646, + "loss": 2.0009, + "step": 2685 + }, + { + "epoch": 0.269, + "grad_norm": 0.7801546454429626, + "learning_rate": 0.00014634634634634638, + "loss": 1.966, + "step": 2690 + }, + { + "epoch": 0.2695, + "grad_norm": 0.7551014423370361, + "learning_rate": 0.00014624624624624626, + "loss": 1.9904, + "step": 2695 + }, + { + "epoch": 0.27, + "grad_norm": 0.8055344820022583, + "learning_rate": 0.00014614614614614615, + "loss": 1.966, + "step": 2700 + }, + { + "epoch": 0.2705, + "grad_norm": 0.7711438536643982, + "learning_rate": 0.00014604604604604606, + "loss": 1.9731, + "step": 2705 + }, + { + "epoch": 0.271, + "grad_norm": 0.7846922278404236, + "learning_rate": 0.00014594594594594595, + "loss": 1.9904, + "step": 2710 + }, + { + "epoch": 0.2715, + "grad_norm": 0.7844250202178955, + "learning_rate": 0.00014584584584584586, + "loss": 1.9778, + "step": 2715 + }, + { + "epoch": 0.272, + "grad_norm": 0.7908750176429749, + "learning_rate": 0.00014574574574574575, + "loss": 1.9892, + "step": 2720 + }, + { + "epoch": 0.2725, + "grad_norm": 0.759119987487793, + "learning_rate": 0.00014564564564564564, + "loss": 1.9888, + "step": 2725 + }, + { + "epoch": 0.273, + "grad_norm": 0.7900999188423157, + "learning_rate": 0.00014554554554554555, + "loss": 1.9869, + "step": 2730 + }, + { + "epoch": 0.2735, + "grad_norm": 0.8262436389923096, + "learning_rate": 0.00014544544544544544, + "loss": 1.9966, + "step": 2735 + }, + { + "epoch": 0.274, + "grad_norm": 0.753371000289917, + "learning_rate": 0.00014534534534534535, + "loss": 1.9793, + "step": 2740 + }, + { + "epoch": 0.2745, + "grad_norm": 0.8318740725517273, + "learning_rate": 0.00014524524524524526, + "loss": 1.9733, + "step": 2745 + }, + { + "epoch": 0.275, + "grad_norm": 0.784440279006958, + "learning_rate": 0.00014514514514514515, + "loss": 1.9677, + "step": 2750 + }, + { + "epoch": 0.2755, + "grad_norm": 0.7962784767150879, + "learning_rate": 0.00014504504504504506, + "loss": 1.9672, + "step": 2755 + }, + { + "epoch": 0.276, + "grad_norm": 0.7986271381378174, + "learning_rate": 0.00014494494494494495, + "loss": 1.9693, + "step": 2760 + }, + { + "epoch": 0.2765, + "grad_norm": 0.742120623588562, + "learning_rate": 0.00014484484484484486, + "loss": 1.9633, + "step": 2765 + }, + { + "epoch": 0.277, + "grad_norm": 0.8292919397354126, + "learning_rate": 0.00014474474474474475, + "loss": 1.9675, + "step": 2770 + }, + { + "epoch": 0.2775, + "grad_norm": 0.8410685062408447, + "learning_rate": 0.00014464464464464464, + "loss": 1.9717, + "step": 2775 + }, + { + "epoch": 0.278, + "grad_norm": 0.9076857566833496, + "learning_rate": 0.00014454454454454455, + "loss": 1.9846, + "step": 2780 + }, + { + "epoch": 0.2785, + "grad_norm": 0.7975298762321472, + "learning_rate": 0.00014444444444444444, + "loss": 1.9443, + "step": 2785 + }, + { + "epoch": 0.279, + "grad_norm": 0.9177993535995483, + "learning_rate": 0.00014434434434434435, + "loss": 1.9672, + "step": 2790 + }, + { + "epoch": 0.2795, + "grad_norm": 1.0301792621612549, + "learning_rate": 0.00014424424424424427, + "loss": 1.9699, + "step": 2795 + }, + { + "epoch": 0.28, + "grad_norm": 1.0027192831039429, + "learning_rate": 0.00014414414414414415, + "loss": 1.9778, + "step": 2800 + }, + { + "epoch": 0.2805, + "grad_norm": 0.8336755037307739, + "learning_rate": 0.00014404404404404407, + "loss": 1.9799, + "step": 2805 + }, + { + "epoch": 0.281, + "grad_norm": 0.8099704384803772, + "learning_rate": 0.00014394394394394395, + "loss": 1.9721, + "step": 2810 + }, + { + "epoch": 0.2815, + "grad_norm": 0.7808539867401123, + "learning_rate": 0.00014384384384384387, + "loss": 1.9807, + "step": 2815 + }, + { + "epoch": 0.282, + "grad_norm": 0.7895110845565796, + "learning_rate": 0.00014374374374374375, + "loss": 1.9698, + "step": 2820 + }, + { + "epoch": 0.2825, + "grad_norm": 0.7536469101905823, + "learning_rate": 0.00014364364364364364, + "loss": 1.9707, + "step": 2825 + }, + { + "epoch": 0.283, + "grad_norm": 0.8078683614730835, + "learning_rate": 0.00014354354354354355, + "loss": 1.9564, + "step": 2830 + }, + { + "epoch": 0.2835, + "grad_norm": 0.7899840474128723, + "learning_rate": 0.00014344344344344344, + "loss": 1.9601, + "step": 2835 + }, + { + "epoch": 0.284, + "grad_norm": 0.7988283634185791, + "learning_rate": 0.00014334334334334333, + "loss": 1.9826, + "step": 2840 + }, + { + "epoch": 0.2845, + "grad_norm": 0.8281169533729553, + "learning_rate": 0.00014324324324324324, + "loss": 1.9715, + "step": 2845 + }, + { + "epoch": 0.285, + "grad_norm": 0.7911503911018372, + "learning_rate": 0.00014314314314314315, + "loss": 1.9733, + "step": 2850 + }, + { + "epoch": 0.2855, + "grad_norm": 0.7935109734535217, + "learning_rate": 0.00014304304304304307, + "loss": 1.9559, + "step": 2855 + }, + { + "epoch": 0.286, + "grad_norm": 0.8028689026832581, + "learning_rate": 0.00014294294294294295, + "loss": 1.9719, + "step": 2860 + }, + { + "epoch": 0.2865, + "grad_norm": 0.7638905048370361, + "learning_rate": 0.00014284284284284284, + "loss": 1.9718, + "step": 2865 + }, + { + "epoch": 0.287, + "grad_norm": 0.7452086806297302, + "learning_rate": 0.00014274274274274275, + "loss": 1.972, + "step": 2870 + }, + { + "epoch": 0.2875, + "grad_norm": 0.7905741930007935, + "learning_rate": 0.00014264264264264264, + "loss": 1.9583, + "step": 2875 + }, + { + "epoch": 0.288, + "grad_norm": 0.7474929690361023, + "learning_rate": 0.00014254254254254255, + "loss": 1.9743, + "step": 2880 + }, + { + "epoch": 0.2885, + "grad_norm": 0.8252883553504944, + "learning_rate": 0.00014244244244244244, + "loss": 1.941, + "step": 2885 + }, + { + "epoch": 0.289, + "grad_norm": 0.8231001496315002, + "learning_rate": 0.00014234234234234233, + "loss": 1.9683, + "step": 2890 + }, + { + "epoch": 0.2895, + "grad_norm": 0.7783549427986145, + "learning_rate": 0.00014224224224224224, + "loss": 1.9832, + "step": 2895 + }, + { + "epoch": 0.29, + "grad_norm": 0.7698352932929993, + "learning_rate": 0.00014214214214214215, + "loss": 1.967, + "step": 2900 + }, + { + "epoch": 0.2905, + "grad_norm": 0.8160349726676941, + "learning_rate": 0.00014204204204204207, + "loss": 1.9633, + "step": 2905 + }, + { + "epoch": 0.291, + "grad_norm": 0.8119205832481384, + "learning_rate": 0.00014194194194194195, + "loss": 1.9799, + "step": 2910 + }, + { + "epoch": 0.2915, + "grad_norm": 0.7536299824714661, + "learning_rate": 0.00014184184184184184, + "loss": 1.9761, + "step": 2915 + }, + { + "epoch": 0.292, + "grad_norm": 0.8390820622444153, + "learning_rate": 0.00014174174174174176, + "loss": 1.984, + "step": 2920 + }, + { + "epoch": 0.2925, + "grad_norm": 0.7603803277015686, + "learning_rate": 0.00014164164164164164, + "loss": 1.9673, + "step": 2925 + }, + { + "epoch": 0.293, + "grad_norm": 0.8152424693107605, + "learning_rate": 0.00014154154154154156, + "loss": 1.9637, + "step": 2930 + }, + { + "epoch": 0.2935, + "grad_norm": 0.8138707876205444, + "learning_rate": 0.00014144144144144144, + "loss": 1.9587, + "step": 2935 + }, + { + "epoch": 0.294, + "grad_norm": 0.7616044282913208, + "learning_rate": 0.00014134134134134133, + "loss": 1.9424, + "step": 2940 + }, + { + "epoch": 0.2945, + "grad_norm": 0.7655227184295654, + "learning_rate": 0.00014124124124124124, + "loss": 1.957, + "step": 2945 + }, + { + "epoch": 0.295, + "grad_norm": 0.8408180475234985, + "learning_rate": 0.00014114114114114113, + "loss": 1.9452, + "step": 2950 + }, + { + "epoch": 0.2955, + "grad_norm": 0.7936397194862366, + "learning_rate": 0.00014104104104104104, + "loss": 1.9595, + "step": 2955 + }, + { + "epoch": 0.296, + "grad_norm": 0.7944901585578918, + "learning_rate": 0.00014094094094094096, + "loss": 1.9666, + "step": 2960 + }, + { + "epoch": 0.2965, + "grad_norm": 0.818505585193634, + "learning_rate": 0.00014084084084084084, + "loss": 1.9738, + "step": 2965 + }, + { + "epoch": 0.297, + "grad_norm": 0.8084187507629395, + "learning_rate": 0.00014074074074074076, + "loss": 1.9401, + "step": 2970 + }, + { + "epoch": 0.2975, + "grad_norm": 0.791145920753479, + "learning_rate": 0.00014064064064064064, + "loss": 1.9562, + "step": 2975 + }, + { + "epoch": 0.298, + "grad_norm": 0.7604819536209106, + "learning_rate": 0.00014054054054054056, + "loss": 1.9602, + "step": 2980 + }, + { + "epoch": 0.2985, + "grad_norm": 0.7864161133766174, + "learning_rate": 0.00014044044044044044, + "loss": 1.9731, + "step": 2985 + }, + { + "epoch": 0.299, + "grad_norm": 0.8198469281196594, + "learning_rate": 0.00014034034034034033, + "loss": 1.9613, + "step": 2990 + }, + { + "epoch": 0.2995, + "grad_norm": 0.8647459745407104, + "learning_rate": 0.00014024024024024024, + "loss": 1.9397, + "step": 2995 + }, + { + "epoch": 0.3, + "grad_norm": 0.7643691897392273, + "learning_rate": 0.00014014014014014013, + "loss": 1.9646, + "step": 3000 + }, + { + "epoch": 0.3005, + "grad_norm": 0.7736343145370483, + "learning_rate": 0.00014004004004004004, + "loss": 1.9638, + "step": 3005 + }, + { + "epoch": 0.301, + "grad_norm": 0.7389901876449585, + "learning_rate": 0.00013993993993993996, + "loss": 1.9815, + "step": 3010 + }, + { + "epoch": 0.3015, + "grad_norm": 0.7692343592643738, + "learning_rate": 0.00013983983983983984, + "loss": 1.9787, + "step": 3015 + }, + { + "epoch": 0.302, + "grad_norm": 0.7531271576881409, + "learning_rate": 0.00013973973973973976, + "loss": 1.9597, + "step": 3020 + }, + { + "epoch": 0.3025, + "grad_norm": 0.7814120054244995, + "learning_rate": 0.00013963963963963964, + "loss": 1.9702, + "step": 3025 + }, + { + "epoch": 0.303, + "grad_norm": 0.757296621799469, + "learning_rate": 0.00013953953953953956, + "loss": 1.9745, + "step": 3030 + }, + { + "epoch": 0.3035, + "grad_norm": 0.8460572361946106, + "learning_rate": 0.00013943943943943944, + "loss": 1.9714, + "step": 3035 + }, + { + "epoch": 0.304, + "grad_norm": 0.8126088380813599, + "learning_rate": 0.00013933933933933933, + "loss": 1.973, + "step": 3040 + }, + { + "epoch": 0.3045, + "grad_norm": 0.7975168228149414, + "learning_rate": 0.00013923923923923925, + "loss": 1.9692, + "step": 3045 + }, + { + "epoch": 0.305, + "grad_norm": 0.7773084044456482, + "learning_rate": 0.00013913913913913913, + "loss": 1.9489, + "step": 3050 + }, + { + "epoch": 0.3055, + "grad_norm": 0.7985555529594421, + "learning_rate": 0.00013903903903903905, + "loss": 1.9835, + "step": 3055 + }, + { + "epoch": 0.306, + "grad_norm": 0.8398511409759521, + "learning_rate": 0.00013893893893893893, + "loss": 1.9602, + "step": 3060 + }, + { + "epoch": 0.3065, + "grad_norm": 0.9037275910377502, + "learning_rate": 0.00013883883883883885, + "loss": 1.9629, + "step": 3065 + }, + { + "epoch": 0.307, + "grad_norm": 0.8658416271209717, + "learning_rate": 0.00013873873873873876, + "loss": 1.9702, + "step": 3070 + }, + { + "epoch": 0.3075, + "grad_norm": 0.7509240508079529, + "learning_rate": 0.00013863863863863865, + "loss": 1.9703, + "step": 3075 + }, + { + "epoch": 0.308, + "grad_norm": 0.7586889863014221, + "learning_rate": 0.00013853853853853856, + "loss": 1.9537, + "step": 3080 + }, + { + "epoch": 0.3085, + "grad_norm": 0.7828867435455322, + "learning_rate": 0.00013843843843843845, + "loss": 1.9686, + "step": 3085 + }, + { + "epoch": 0.309, + "grad_norm": 0.908487856388092, + "learning_rate": 0.00013833833833833833, + "loss": 1.9703, + "step": 3090 + }, + { + "epoch": 0.3095, + "grad_norm": 0.774718165397644, + "learning_rate": 0.00013823823823823825, + "loss": 1.9656, + "step": 3095 + }, + { + "epoch": 0.31, + "grad_norm": 0.7825801372528076, + "learning_rate": 0.00013813813813813813, + "loss": 1.9571, + "step": 3100 + }, + { + "epoch": 0.3105, + "grad_norm": 0.7940477132797241, + "learning_rate": 0.00013803803803803805, + "loss": 1.973, + "step": 3105 + }, + { + "epoch": 0.311, + "grad_norm": 0.7585093975067139, + "learning_rate": 0.00013793793793793793, + "loss": 1.9605, + "step": 3110 + }, + { + "epoch": 0.3115, + "grad_norm": 0.7673121690750122, + "learning_rate": 0.00013783783783783785, + "loss": 1.938, + "step": 3115 + }, + { + "epoch": 0.312, + "grad_norm": 0.8095937371253967, + "learning_rate": 0.00013773773773773776, + "loss": 1.9643, + "step": 3120 + }, + { + "epoch": 0.3125, + "grad_norm": 0.8239126801490784, + "learning_rate": 0.00013763763763763765, + "loss": 1.9655, + "step": 3125 + }, + { + "epoch": 0.313, + "grad_norm": 0.7611415386199951, + "learning_rate": 0.00013753753753753756, + "loss": 1.966, + "step": 3130 + }, + { + "epoch": 0.3135, + "grad_norm": 0.8436517119407654, + "learning_rate": 0.00013743743743743745, + "loss": 1.9885, + "step": 3135 + }, + { + "epoch": 0.314, + "grad_norm": 0.7741273045539856, + "learning_rate": 0.00013733733733733733, + "loss": 1.9593, + "step": 3140 + }, + { + "epoch": 0.3145, + "grad_norm": 0.8990844488143921, + "learning_rate": 0.00013723723723723725, + "loss": 1.9475, + "step": 3145 + }, + { + "epoch": 0.315, + "grad_norm": 0.8114355206489563, + "learning_rate": 0.00013713713713713713, + "loss": 1.9417, + "step": 3150 + }, + { + "epoch": 0.3155, + "grad_norm": 0.9088999032974243, + "learning_rate": 0.00013703703703703705, + "loss": 1.9529, + "step": 3155 + }, + { + "epoch": 0.316, + "grad_norm": 0.7836775183677673, + "learning_rate": 0.00013693693693693693, + "loss": 1.9442, + "step": 3160 + }, + { + "epoch": 0.3165, + "grad_norm": 0.7776234149932861, + "learning_rate": 0.00013683683683683682, + "loss": 1.9618, + "step": 3165 + }, + { + "epoch": 0.317, + "grad_norm": 0.8789812326431274, + "learning_rate": 0.00013673673673673673, + "loss": 1.9714, + "step": 3170 + }, + { + "epoch": 0.3175, + "grad_norm": 0.89927738904953, + "learning_rate": 0.00013663663663663665, + "loss": 1.9523, + "step": 3175 + }, + { + "epoch": 0.318, + "grad_norm": 0.8082011342048645, + "learning_rate": 0.00013653653653653656, + "loss": 1.9535, + "step": 3180 + }, + { + "epoch": 0.3185, + "grad_norm": 0.7667655348777771, + "learning_rate": 0.00013643643643643645, + "loss": 1.9307, + "step": 3185 + }, + { + "epoch": 0.319, + "grad_norm": 0.7933686971664429, + "learning_rate": 0.00013633633633633634, + "loss": 1.9538, + "step": 3190 + }, + { + "epoch": 0.3195, + "grad_norm": 0.800533652305603, + "learning_rate": 0.00013623623623623625, + "loss": 1.9661, + "step": 3195 + }, + { + "epoch": 0.32, + "grad_norm": 0.7852665781974792, + "learning_rate": 0.00013613613613613614, + "loss": 1.9528, + "step": 3200 + }, + { + "epoch": 0.3205, + "grad_norm": 0.8265931010246277, + "learning_rate": 0.00013603603603603605, + "loss": 1.9623, + "step": 3205 + }, + { + "epoch": 0.321, + "grad_norm": 0.8010437488555908, + "learning_rate": 0.00013593593593593594, + "loss": 1.9623, + "step": 3210 + }, + { + "epoch": 0.3215, + "grad_norm": 0.7773730158805847, + "learning_rate": 0.00013583583583583582, + "loss": 1.9646, + "step": 3215 + }, + { + "epoch": 0.322, + "grad_norm": 0.8105774521827698, + "learning_rate": 0.00013573573573573574, + "loss": 1.9534, + "step": 3220 + }, + { + "epoch": 0.3225, + "grad_norm": 0.7743560075759888, + "learning_rate": 0.00013563563563563565, + "loss": 1.9436, + "step": 3225 + }, + { + "epoch": 0.323, + "grad_norm": 0.8030966520309448, + "learning_rate": 0.00013553553553553556, + "loss": 1.9516, + "step": 3230 + }, + { + "epoch": 0.3235, + "grad_norm": 0.8765146732330322, + "learning_rate": 0.00013543543543543545, + "loss": 1.9715, + "step": 3235 + }, + { + "epoch": 0.324, + "grad_norm": 0.7942567467689514, + "learning_rate": 0.00013533533533533534, + "loss": 1.9483, + "step": 3240 + }, + { + "epoch": 0.3245, + "grad_norm": 0.8173383474349976, + "learning_rate": 0.00013523523523523525, + "loss": 1.9529, + "step": 3245 + }, + { + "epoch": 0.325, + "grad_norm": 0.7865030169487, + "learning_rate": 0.00013513513513513514, + "loss": 1.9656, + "step": 3250 + }, + { + "epoch": 0.3255, + "grad_norm": 0.8991813659667969, + "learning_rate": 0.00013503503503503505, + "loss": 1.9551, + "step": 3255 + }, + { + "epoch": 0.326, + "grad_norm": 0.7669337391853333, + "learning_rate": 0.00013493493493493494, + "loss": 1.9618, + "step": 3260 + }, + { + "epoch": 0.3265, + "grad_norm": 0.8322509527206421, + "learning_rate": 0.00013483483483483482, + "loss": 1.9467, + "step": 3265 + }, + { + "epoch": 0.327, + "grad_norm": 0.7678415775299072, + "learning_rate": 0.00013473473473473474, + "loss": 1.9576, + "step": 3270 + }, + { + "epoch": 0.3275, + "grad_norm": 0.8185941576957703, + "learning_rate": 0.00013463463463463462, + "loss": 1.9719, + "step": 3275 + }, + { + "epoch": 0.328, + "grad_norm": 0.8121998906135559, + "learning_rate": 0.00013453453453453454, + "loss": 1.9538, + "step": 3280 + }, + { + "epoch": 0.3285, + "grad_norm": 0.8269667625427246, + "learning_rate": 0.00013443443443443445, + "loss": 1.9472, + "step": 3285 + }, + { + "epoch": 0.329, + "grad_norm": 0.7667022347450256, + "learning_rate": 0.00013433433433433434, + "loss": 1.976, + "step": 3290 + }, + { + "epoch": 0.3295, + "grad_norm": 0.794097363948822, + "learning_rate": 0.00013423423423423425, + "loss": 1.9703, + "step": 3295 + }, + { + "epoch": 0.33, + "grad_norm": 0.7591664791107178, + "learning_rate": 0.00013413413413413414, + "loss": 1.9523, + "step": 3300 + }, + { + "epoch": 0.3305, + "grad_norm": 0.7778351902961731, + "learning_rate": 0.00013403403403403405, + "loss": 1.9448, + "step": 3305 + }, + { + "epoch": 0.331, + "grad_norm": 0.7940652370452881, + "learning_rate": 0.00013393393393393394, + "loss": 1.9482, + "step": 3310 + }, + { + "epoch": 0.3315, + "grad_norm": 0.7958424091339111, + "learning_rate": 0.00013383383383383383, + "loss": 1.9496, + "step": 3315 + }, + { + "epoch": 0.332, + "grad_norm": 0.8664911389350891, + "learning_rate": 0.00013373373373373374, + "loss": 1.9537, + "step": 3320 + }, + { + "epoch": 0.3325, + "grad_norm": 0.8059619665145874, + "learning_rate": 0.00013363363363363363, + "loss": 1.9493, + "step": 3325 + }, + { + "epoch": 0.333, + "grad_norm": 0.7810567021369934, + "learning_rate": 0.00013353353353353354, + "loss": 1.9694, + "step": 3330 + }, + { + "epoch": 0.3335, + "grad_norm": 0.7973411679267883, + "learning_rate": 0.00013343343343343345, + "loss": 1.9506, + "step": 3335 + }, + { + "epoch": 0.334, + "grad_norm": 0.9919584393501282, + "learning_rate": 0.00013333333333333334, + "loss": 1.9544, + "step": 3340 + }, + { + "epoch": 0.3345, + "grad_norm": 0.7684592008590698, + "learning_rate": 0.00013323323323323325, + "loss": 1.9666, + "step": 3345 + }, + { + "epoch": 0.335, + "grad_norm": 0.7740269899368286, + "learning_rate": 0.00013313313313313314, + "loss": 1.9458, + "step": 3350 + }, + { + "epoch": 0.3355, + "grad_norm": 0.7702473402023315, + "learning_rate": 0.00013303303303303305, + "loss": 1.9768, + "step": 3355 + }, + { + "epoch": 0.336, + "grad_norm": 0.784784734249115, + "learning_rate": 0.00013293293293293294, + "loss": 1.9512, + "step": 3360 + }, + { + "epoch": 0.3365, + "grad_norm": 0.9200993180274963, + "learning_rate": 0.00013283283283283283, + "loss": 1.9477, + "step": 3365 + }, + { + "epoch": 0.337, + "grad_norm": 1.021840214729309, + "learning_rate": 0.00013273273273273274, + "loss": 1.9673, + "step": 3370 + }, + { + "epoch": 0.3375, + "grad_norm": 0.920347273349762, + "learning_rate": 0.00013263263263263263, + "loss": 1.9381, + "step": 3375 + }, + { + "epoch": 0.338, + "grad_norm": 0.7917675375938416, + "learning_rate": 0.00013253253253253254, + "loss": 1.943, + "step": 3380 + }, + { + "epoch": 0.3385, + "grad_norm": 0.7981655597686768, + "learning_rate": 0.00013243243243243243, + "loss": 1.9565, + "step": 3385 + }, + { + "epoch": 0.339, + "grad_norm": 0.7743932604789734, + "learning_rate": 0.00013233233233233234, + "loss": 1.9521, + "step": 3390 + }, + { + "epoch": 0.3395, + "grad_norm": 0.784078061580658, + "learning_rate": 0.00013223223223223225, + "loss": 1.9404, + "step": 3395 + }, + { + "epoch": 0.34, + "grad_norm": 0.7654576301574707, + "learning_rate": 0.00013213213213213214, + "loss": 1.9577, + "step": 3400 + }, + { + "epoch": 0.3405, + "grad_norm": 0.7969295382499695, + "learning_rate": 0.00013203203203203206, + "loss": 1.9403, + "step": 3405 + }, + { + "epoch": 0.341, + "grad_norm": 1.016737461090088, + "learning_rate": 0.00013193193193193194, + "loss": 1.9584, + "step": 3410 + }, + { + "epoch": 0.3415, + "grad_norm": 1.0509916543960571, + "learning_rate": 0.00013183183183183183, + "loss": 1.939, + "step": 3415 + }, + { + "epoch": 0.342, + "grad_norm": 0.9138502478599548, + "learning_rate": 0.00013173173173173174, + "loss": 1.9478, + "step": 3420 + }, + { + "epoch": 0.3425, + "grad_norm": 0.817069947719574, + "learning_rate": 0.00013163163163163163, + "loss": 1.9713, + "step": 3425 + }, + { + "epoch": 0.343, + "grad_norm": 0.9959232211112976, + "learning_rate": 0.00013153153153153154, + "loss": 1.9595, + "step": 3430 + }, + { + "epoch": 0.3435, + "grad_norm": 1.0368640422821045, + "learning_rate": 0.00013143143143143143, + "loss": 1.959, + "step": 3435 + }, + { + "epoch": 0.344, + "grad_norm": 0.7973247170448303, + "learning_rate": 0.00013133133133133134, + "loss": 1.9755, + "step": 3440 + }, + { + "epoch": 0.3445, + "grad_norm": 0.8196215033531189, + "learning_rate": 0.00013123123123123126, + "loss": 1.9437, + "step": 3445 + }, + { + "epoch": 0.345, + "grad_norm": 0.9840690493583679, + "learning_rate": 0.00013113113113113114, + "loss": 1.9537, + "step": 3450 + }, + { + "epoch": 0.3455, + "grad_norm": 0.9263918399810791, + "learning_rate": 0.00013103103103103103, + "loss": 1.9339, + "step": 3455 + }, + { + "epoch": 0.346, + "grad_norm": 0.7676291465759277, + "learning_rate": 0.00013093093093093094, + "loss": 1.9359, + "step": 3460 + }, + { + "epoch": 0.3465, + "grad_norm": 0.7748109698295593, + "learning_rate": 0.00013083083083083083, + "loss": 1.9464, + "step": 3465 + }, + { + "epoch": 0.347, + "grad_norm": 0.852546215057373, + "learning_rate": 0.00013073073073073074, + "loss": 1.934, + "step": 3470 + }, + { + "epoch": 0.3475, + "grad_norm": 0.9905356764793396, + "learning_rate": 0.00013063063063063063, + "loss": 1.9459, + "step": 3475 + }, + { + "epoch": 0.348, + "grad_norm": 0.8646652698516846, + "learning_rate": 0.00013053053053053052, + "loss": 1.9385, + "step": 3480 + }, + { + "epoch": 0.3485, + "grad_norm": 0.7634602189064026, + "learning_rate": 0.00013043043043043043, + "loss": 1.9474, + "step": 3485 + }, + { + "epoch": 0.349, + "grad_norm": 0.7793004512786865, + "learning_rate": 0.00013033033033033032, + "loss": 1.9551, + "step": 3490 + }, + { + "epoch": 0.3495, + "grad_norm": 0.7419679760932922, + "learning_rate": 0.00013023023023023023, + "loss": 1.9424, + "step": 3495 + }, + { + "epoch": 0.35, + "grad_norm": 0.7776840329170227, + "learning_rate": 0.00013013013013013014, + "loss": 1.9414, + "step": 3500 + }, + { + "epoch": 0.3505, + "grad_norm": 0.8862317800521851, + "learning_rate": 0.00013003003003003003, + "loss": 1.9629, + "step": 3505 + }, + { + "epoch": 0.351, + "grad_norm": 0.9258846044540405, + "learning_rate": 0.00012992992992992994, + "loss": 1.9242, + "step": 3510 + }, + { + "epoch": 0.3515, + "grad_norm": 0.7799050211906433, + "learning_rate": 0.00012982982982982983, + "loss": 1.963, + "step": 3515 + }, + { + "epoch": 0.352, + "grad_norm": 0.8912829160690308, + "learning_rate": 0.00012972972972972974, + "loss": 1.9574, + "step": 3520 + }, + { + "epoch": 0.3525, + "grad_norm": 0.905232846736908, + "learning_rate": 0.00012962962962962963, + "loss": 1.9294, + "step": 3525 + }, + { + "epoch": 0.353, + "grad_norm": 0.7626670002937317, + "learning_rate": 0.00012952952952952952, + "loss": 1.9524, + "step": 3530 + }, + { + "epoch": 0.3535, + "grad_norm": 0.7529788613319397, + "learning_rate": 0.00012942942942942943, + "loss": 1.9665, + "step": 3535 + }, + { + "epoch": 0.354, + "grad_norm": 0.7423688173294067, + "learning_rate": 0.00012932932932932932, + "loss": 1.9356, + "step": 3540 + }, + { + "epoch": 0.3545, + "grad_norm": 0.7545106410980225, + "learning_rate": 0.00012922922922922923, + "loss": 1.9385, + "step": 3545 + }, + { + "epoch": 0.355, + "grad_norm": 0.7768842577934265, + "learning_rate": 0.00012912912912912915, + "loss": 1.9444, + "step": 3550 + }, + { + "epoch": 0.3555, + "grad_norm": 0.7664159536361694, + "learning_rate": 0.00012902902902902903, + "loss": 1.9363, + "step": 3555 + }, + { + "epoch": 0.356, + "grad_norm": 0.796855628490448, + "learning_rate": 0.00012892892892892895, + "loss": 1.9445, + "step": 3560 + }, + { + "epoch": 0.3565, + "grad_norm": 0.7599654197692871, + "learning_rate": 0.00012882882882882883, + "loss": 1.9486, + "step": 3565 + }, + { + "epoch": 0.357, + "grad_norm": 0.8220765590667725, + "learning_rate": 0.00012872872872872875, + "loss": 1.9604, + "step": 3570 + }, + { + "epoch": 0.3575, + "grad_norm": 0.8476091027259827, + "learning_rate": 0.00012862862862862863, + "loss": 1.9389, + "step": 3575 + }, + { + "epoch": 0.358, + "grad_norm": 0.8238967061042786, + "learning_rate": 0.00012852852852852852, + "loss": 1.9527, + "step": 3580 + }, + { + "epoch": 0.3585, + "grad_norm": 0.8090390563011169, + "learning_rate": 0.00012842842842842843, + "loss": 1.9377, + "step": 3585 + }, + { + "epoch": 0.359, + "grad_norm": 0.7613897919654846, + "learning_rate": 0.00012832832832832832, + "loss": 1.9213, + "step": 3590 + }, + { + "epoch": 0.3595, + "grad_norm": 0.8270089626312256, + "learning_rate": 0.00012822822822822823, + "loss": 1.9519, + "step": 3595 + }, + { + "epoch": 0.36, + "grad_norm": 0.7741177082061768, + "learning_rate": 0.00012812812812812812, + "loss": 1.9569, + "step": 3600 + }, + { + "epoch": 0.3605, + "grad_norm": 0.8119099736213684, + "learning_rate": 0.00012802802802802803, + "loss": 1.9373, + "step": 3605 + }, + { + "epoch": 0.361, + "grad_norm": 0.778448224067688, + "learning_rate": 0.00012792792792792795, + "loss": 1.9433, + "step": 3610 + }, + { + "epoch": 0.3615, + "grad_norm": 0.7723468542098999, + "learning_rate": 0.00012782782782782783, + "loss": 1.9489, + "step": 3615 + }, + { + "epoch": 0.362, + "grad_norm": 0.8068646192550659, + "learning_rate": 0.00012772772772772775, + "loss": 1.9508, + "step": 3620 + }, + { + "epoch": 0.3625, + "grad_norm": 0.7997691631317139, + "learning_rate": 0.00012762762762762763, + "loss": 1.9296, + "step": 3625 + }, + { + "epoch": 0.363, + "grad_norm": 0.7968930006027222, + "learning_rate": 0.00012752752752752752, + "loss": 1.9388, + "step": 3630 + }, + { + "epoch": 0.3635, + "grad_norm": 0.7867845296859741, + "learning_rate": 0.00012742742742742743, + "loss": 1.9337, + "step": 3635 + }, + { + "epoch": 0.364, + "grad_norm": 0.7725551724433899, + "learning_rate": 0.00012732732732732732, + "loss": 1.9355, + "step": 3640 + }, + { + "epoch": 0.3645, + "grad_norm": 0.8146640658378601, + "learning_rate": 0.00012722722722722723, + "loss": 1.9349, + "step": 3645 + }, + { + "epoch": 0.365, + "grad_norm": 0.7650962471961975, + "learning_rate": 0.00012712712712712712, + "loss": 1.9581, + "step": 3650 + }, + { + "epoch": 0.3655, + "grad_norm": 0.7965732216835022, + "learning_rate": 0.00012702702702702703, + "loss": 1.951, + "step": 3655 + }, + { + "epoch": 0.366, + "grad_norm": 0.7692468166351318, + "learning_rate": 0.00012692692692692695, + "loss": 1.9464, + "step": 3660 + }, + { + "epoch": 0.3665, + "grad_norm": 0.7383764982223511, + "learning_rate": 0.00012682682682682684, + "loss": 1.9432, + "step": 3665 + }, + { + "epoch": 0.367, + "grad_norm": 0.7694110870361328, + "learning_rate": 0.00012672672672672675, + "loss": 1.9442, + "step": 3670 + }, + { + "epoch": 0.3675, + "grad_norm": 0.7646791338920593, + "learning_rate": 0.00012662662662662664, + "loss": 1.9124, + "step": 3675 + }, + { + "epoch": 0.368, + "grad_norm": 0.7893620133399963, + "learning_rate": 0.00012652652652652652, + "loss": 1.9336, + "step": 3680 + }, + { + "epoch": 0.3685, + "grad_norm": 0.8947069644927979, + "learning_rate": 0.00012642642642642644, + "loss": 1.9418, + "step": 3685 + }, + { + "epoch": 0.369, + "grad_norm": 0.8227481842041016, + "learning_rate": 0.00012632632632632632, + "loss": 1.9259, + "step": 3690 + }, + { + "epoch": 0.3695, + "grad_norm": 0.8941676020622253, + "learning_rate": 0.00012622622622622624, + "loss": 1.9474, + "step": 3695 + }, + { + "epoch": 0.37, + "grad_norm": 0.8401495218276978, + "learning_rate": 0.00012612612612612612, + "loss": 1.9454, + "step": 3700 + }, + { + "epoch": 0.3705, + "grad_norm": 0.8106552362442017, + "learning_rate": 0.00012602602602602604, + "loss": 1.9469, + "step": 3705 + }, + { + "epoch": 0.371, + "grad_norm": 0.7758846879005432, + "learning_rate": 0.00012592592592592592, + "loss": 1.9405, + "step": 3710 + }, + { + "epoch": 0.3715, + "grad_norm": 0.8738759756088257, + "learning_rate": 0.00012582582582582584, + "loss": 1.9212, + "step": 3715 + }, + { + "epoch": 0.372, + "grad_norm": 0.8900704979896545, + "learning_rate": 0.00012572572572572575, + "loss": 1.9482, + "step": 3720 + }, + { + "epoch": 0.3725, + "grad_norm": 0.8583644032478333, + "learning_rate": 0.00012562562562562564, + "loss": 1.9352, + "step": 3725 + }, + { + "epoch": 0.373, + "grad_norm": 0.7823512554168701, + "learning_rate": 0.00012552552552552552, + "loss": 1.9295, + "step": 3730 + }, + { + "epoch": 0.3735, + "grad_norm": 0.7929084897041321, + "learning_rate": 0.00012542542542542544, + "loss": 1.9361, + "step": 3735 + }, + { + "epoch": 0.374, + "grad_norm": 0.7727826833724976, + "learning_rate": 0.00012532532532532532, + "loss": 1.943, + "step": 3740 + }, + { + "epoch": 0.3745, + "grad_norm": 0.7919679284095764, + "learning_rate": 0.00012522522522522524, + "loss": 1.943, + "step": 3745 + }, + { + "epoch": 0.375, + "grad_norm": 0.7749269604682922, + "learning_rate": 0.00012512512512512512, + "loss": 1.9338, + "step": 3750 + }, + { + "epoch": 0.3755, + "grad_norm": 0.7870975732803345, + "learning_rate": 0.000125025025025025, + "loss": 1.9277, + "step": 3755 + }, + { + "epoch": 0.376, + "grad_norm": 0.7871671319007874, + "learning_rate": 0.00012492492492492492, + "loss": 1.9552, + "step": 3760 + }, + { + "epoch": 0.3765, + "grad_norm": 0.7836071848869324, + "learning_rate": 0.00012482482482482484, + "loss": 1.9263, + "step": 3765 + }, + { + "epoch": 0.377, + "grad_norm": 0.7796449065208435, + "learning_rate": 0.00012472472472472475, + "loss": 1.9495, + "step": 3770 + }, + { + "epoch": 0.3775, + "grad_norm": 0.7606745362281799, + "learning_rate": 0.00012462462462462464, + "loss": 1.9317, + "step": 3775 + }, + { + "epoch": 0.378, + "grad_norm": 0.7624865770339966, + "learning_rate": 0.00012452452452452452, + "loss": 1.951, + "step": 3780 + }, + { + "epoch": 0.3785, + "grad_norm": 0.7752624154090881, + "learning_rate": 0.00012442442442442444, + "loss": 1.9448, + "step": 3785 + }, + { + "epoch": 0.379, + "grad_norm": 0.8232024312019348, + "learning_rate": 0.00012432432432432433, + "loss": 1.9309, + "step": 3790 + }, + { + "epoch": 0.3795, + "grad_norm": 0.7860484719276428, + "learning_rate": 0.00012422422422422424, + "loss": 1.9443, + "step": 3795 + }, + { + "epoch": 0.38, + "grad_norm": 0.769604504108429, + "learning_rate": 0.00012412412412412413, + "loss": 1.9433, + "step": 3800 + }, + { + "epoch": 0.3805, + "grad_norm": 0.8487102389335632, + "learning_rate": 0.000124024024024024, + "loss": 1.9339, + "step": 3805 + }, + { + "epoch": 0.381, + "grad_norm": 0.8145004510879517, + "learning_rate": 0.00012392392392392393, + "loss": 1.943, + "step": 3810 + }, + { + "epoch": 0.3815, + "grad_norm": 0.8356045484542847, + "learning_rate": 0.0001238238238238238, + "loss": 1.932, + "step": 3815 + }, + { + "epoch": 0.382, + "grad_norm": 0.7990782856941223, + "learning_rate": 0.00012372372372372373, + "loss": 1.9458, + "step": 3820 + }, + { + "epoch": 0.3825, + "grad_norm": 0.7622951865196228, + "learning_rate": 0.00012362362362362364, + "loss": 1.9538, + "step": 3825 + }, + { + "epoch": 0.383, + "grad_norm": 0.796141505241394, + "learning_rate": 0.00012352352352352353, + "loss": 1.9274, + "step": 3830 + }, + { + "epoch": 0.3835, + "grad_norm": 0.9116307497024536, + "learning_rate": 0.00012342342342342344, + "loss": 1.9415, + "step": 3835 + }, + { + "epoch": 0.384, + "grad_norm": 0.7524915337562561, + "learning_rate": 0.00012332332332332333, + "loss": 1.9182, + "step": 3840 + }, + { + "epoch": 0.3845, + "grad_norm": 0.7611434459686279, + "learning_rate": 0.00012322322322322324, + "loss": 1.9306, + "step": 3845 + }, + { + "epoch": 0.385, + "grad_norm": 0.7478082180023193, + "learning_rate": 0.00012312312312312313, + "loss": 1.9239, + "step": 3850 + }, + { + "epoch": 0.3855, + "grad_norm": 0.7586308121681213, + "learning_rate": 0.000123023023023023, + "loss": 1.9332, + "step": 3855 + }, + { + "epoch": 0.386, + "grad_norm": 0.8614716529846191, + "learning_rate": 0.00012292292292292293, + "loss": 1.9583, + "step": 3860 + }, + { + "epoch": 0.3865, + "grad_norm": 0.7706379294395447, + "learning_rate": 0.00012282282282282281, + "loss": 1.9448, + "step": 3865 + }, + { + "epoch": 0.387, + "grad_norm": 0.802075982093811, + "learning_rate": 0.00012272272272272273, + "loss": 1.933, + "step": 3870 + }, + { + "epoch": 0.3875, + "grad_norm": 0.8200154900550842, + "learning_rate": 0.00012262262262262264, + "loss": 1.9213, + "step": 3875 + }, + { + "epoch": 0.388, + "grad_norm": 0.8005445599555969, + "learning_rate": 0.00012252252252252253, + "loss": 1.9423, + "step": 3880 + }, + { + "epoch": 0.3885, + "grad_norm": 0.9639005661010742, + "learning_rate": 0.00012242242242242244, + "loss": 1.928, + "step": 3885 + }, + { + "epoch": 0.389, + "grad_norm": 0.805856466293335, + "learning_rate": 0.00012232232232232233, + "loss": 1.9459, + "step": 3890 + }, + { + "epoch": 0.3895, + "grad_norm": 0.735449492931366, + "learning_rate": 0.00012222222222222224, + "loss": 1.933, + "step": 3895 + }, + { + "epoch": 0.39, + "grad_norm": 0.7601875066757202, + "learning_rate": 0.00012212212212212213, + "loss": 1.925, + "step": 3900 + }, + { + "epoch": 0.3905, + "grad_norm": 0.7551021575927734, + "learning_rate": 0.00012202202202202201, + "loss": 1.9213, + "step": 3905 + }, + { + "epoch": 0.391, + "grad_norm": 0.7619316577911377, + "learning_rate": 0.00012192192192192193, + "loss": 1.9242, + "step": 3910 + }, + { + "epoch": 0.3915, + "grad_norm": 0.8216850161552429, + "learning_rate": 0.00012182182182182183, + "loss": 1.927, + "step": 3915 + }, + { + "epoch": 0.392, + "grad_norm": 0.9015415906906128, + "learning_rate": 0.00012172172172172174, + "loss": 1.9438, + "step": 3920 + }, + { + "epoch": 0.3925, + "grad_norm": 0.9189796447753906, + "learning_rate": 0.00012162162162162163, + "loss": 1.9164, + "step": 3925 + }, + { + "epoch": 0.393, + "grad_norm": 0.799855649471283, + "learning_rate": 0.00012152152152152152, + "loss": 1.9502, + "step": 3930 + }, + { + "epoch": 0.3935, + "grad_norm": 0.7941702604293823, + "learning_rate": 0.00012142142142142143, + "loss": 1.9306, + "step": 3935 + }, + { + "epoch": 0.394, + "grad_norm": 0.8794786334037781, + "learning_rate": 0.00012132132132132133, + "loss": 1.9196, + "step": 3940 + }, + { + "epoch": 0.3945, + "grad_norm": 0.9179593920707703, + "learning_rate": 0.00012122122122122124, + "loss": 1.9362, + "step": 3945 + }, + { + "epoch": 0.395, + "grad_norm": 0.7571364641189575, + "learning_rate": 0.00012112112112112113, + "loss": 1.9292, + "step": 3950 + }, + { + "epoch": 0.3955, + "grad_norm": 0.8133040070533752, + "learning_rate": 0.00012102102102102102, + "loss": 1.9564, + "step": 3955 + }, + { + "epoch": 0.396, + "grad_norm": 0.7867616415023804, + "learning_rate": 0.00012092092092092093, + "loss": 1.9368, + "step": 3960 + }, + { + "epoch": 0.3965, + "grad_norm": 0.768710196018219, + "learning_rate": 0.00012082082082082083, + "loss": 1.9146, + "step": 3965 + }, + { + "epoch": 0.397, + "grad_norm": 0.8447054028511047, + "learning_rate": 0.00012072072072072073, + "loss": 1.9227, + "step": 3970 + }, + { + "epoch": 0.3975, + "grad_norm": 0.8007540702819824, + "learning_rate": 0.00012062062062062063, + "loss": 1.9518, + "step": 3975 + }, + { + "epoch": 0.398, + "grad_norm": 0.8003354668617249, + "learning_rate": 0.00012052052052052052, + "loss": 1.9296, + "step": 3980 + }, + { + "epoch": 0.3985, + "grad_norm": 0.7936831712722778, + "learning_rate": 0.00012042042042042043, + "loss": 1.935, + "step": 3985 + }, + { + "epoch": 0.399, + "grad_norm": 0.801343560218811, + "learning_rate": 0.00012032032032032032, + "loss": 1.951, + "step": 3990 + }, + { + "epoch": 0.3995, + "grad_norm": 2.931938648223877, + "learning_rate": 0.00012022022022022023, + "loss": 2.2622, + "step": 3995 + }, + { + "epoch": 0.4, + "grad_norm": 1.9284015893936157, + "learning_rate": 0.00012012012012012013, + "loss": 2.7305, + "step": 4000 + }, + { + "epoch": 0.4005, + "grad_norm": 1.391554355621338, + "learning_rate": 0.00012002002002002002, + "loss": 2.4457, + "step": 4005 + }, + { + "epoch": 0.401, + "grad_norm": 1.0932132005691528, + "learning_rate": 0.00011991991991991993, + "loss": 2.3634, + "step": 4010 + }, + { + "epoch": 0.4015, + "grad_norm": 0.9506504535675049, + "learning_rate": 0.00011981981981981982, + "loss": 2.2795, + "step": 4015 + }, + { + "epoch": 0.402, + "grad_norm": 0.8915263414382935, + "learning_rate": 0.00011971971971971973, + "loss": 2.2108, + "step": 4020 + }, + { + "epoch": 0.4025, + "grad_norm": 0.9343470931053162, + "learning_rate": 0.00011961961961961963, + "loss": 2.171, + "step": 4025 + }, + { + "epoch": 0.403, + "grad_norm": 0.9694389700889587, + "learning_rate": 0.00011951951951951952, + "loss": 2.2073, + "step": 4030 + }, + { + "epoch": 0.4035, + "grad_norm": 0.8602437973022461, + "learning_rate": 0.00011941941941941943, + "loss": 2.1673, + "step": 4035 + }, + { + "epoch": 0.404, + "grad_norm": 0.8877463340759277, + "learning_rate": 0.00011931931931931932, + "loss": 2.1523, + "step": 4040 + }, + { + "epoch": 0.4045, + "grad_norm": 0.9396592378616333, + "learning_rate": 0.00011921921921921923, + "loss": 2.1447, + "step": 4045 + }, + { + "epoch": 0.405, + "grad_norm": 0.887259304523468, + "learning_rate": 0.00011911911911911913, + "loss": 2.125, + "step": 4050 + }, + { + "epoch": 0.4055, + "grad_norm": 0.9970149397850037, + "learning_rate": 0.00011901901901901902, + "loss": 2.117, + "step": 4055 + }, + { + "epoch": 0.406, + "grad_norm": 0.9191226959228516, + "learning_rate": 0.00011891891891891893, + "loss": 2.095, + "step": 4060 + }, + { + "epoch": 0.4065, + "grad_norm": 0.9096970558166504, + "learning_rate": 0.00011881881881881882, + "loss": 2.0905, + "step": 4065 + }, + { + "epoch": 0.407, + "grad_norm": 0.9250726103782654, + "learning_rate": 0.00011871871871871872, + "loss": 2.0447, + "step": 4070 + }, + { + "epoch": 0.4075, + "grad_norm": 0.848983883857727, + "learning_rate": 0.00011861861861861863, + "loss": 2.0659, + "step": 4075 + }, + { + "epoch": 0.408, + "grad_norm": 0.837566614151001, + "learning_rate": 0.00011851851851851852, + "loss": 2.0291, + "step": 4080 + }, + { + "epoch": 0.4085, + "grad_norm": 0.8990424871444702, + "learning_rate": 0.00011841841841841843, + "loss": 2.0786, + "step": 4085 + }, + { + "epoch": 0.409, + "grad_norm": 0.9345883727073669, + "learning_rate": 0.00011831831831831832, + "loss": 2.0498, + "step": 4090 + }, + { + "epoch": 0.4095, + "grad_norm": 0.9079171419143677, + "learning_rate": 0.0001182182182182182, + "loss": 2.0502, + "step": 4095 + }, + { + "epoch": 0.41, + "grad_norm": 0.8899641633033752, + "learning_rate": 0.00011811811811811812, + "loss": 2.0554, + "step": 4100 + }, + { + "epoch": 0.4105, + "grad_norm": 0.8282867074012756, + "learning_rate": 0.00011801801801801802, + "loss": 2.0017, + "step": 4105 + }, + { + "epoch": 0.411, + "grad_norm": 0.8713417649269104, + "learning_rate": 0.00011791791791791793, + "loss": 2.0477, + "step": 4110 + }, + { + "epoch": 0.4115, + "grad_norm": 0.8387519717216492, + "learning_rate": 0.00011781781781781782, + "loss": 2.013, + "step": 4115 + }, + { + "epoch": 0.412, + "grad_norm": 0.8442679047584534, + "learning_rate": 0.00011771771771771771, + "loss": 2.0011, + "step": 4120 + }, + { + "epoch": 0.4125, + "grad_norm": 0.8642622828483582, + "learning_rate": 0.00011761761761761762, + "loss": 2.0232, + "step": 4125 + }, + { + "epoch": 0.413, + "grad_norm": 1.0152161121368408, + "learning_rate": 0.00011751751751751752, + "loss": 2.0444, + "step": 4130 + }, + { + "epoch": 0.4135, + "grad_norm": 0.8902932405471802, + "learning_rate": 0.00011741741741741743, + "loss": 1.9905, + "step": 4135 + }, + { + "epoch": 0.414, + "grad_norm": 0.9433906078338623, + "learning_rate": 0.00011731731731731732, + "loss": 2.0023, + "step": 4140 + }, + { + "epoch": 0.4145, + "grad_norm": 0.8779952526092529, + "learning_rate": 0.00011721721721721721, + "loss": 2.0103, + "step": 4145 + }, + { + "epoch": 0.415, + "grad_norm": 0.878989577293396, + "learning_rate": 0.00011711711711711712, + "loss": 2.0167, + "step": 4150 + }, + { + "epoch": 0.4155, + "grad_norm": 0.8977020978927612, + "learning_rate": 0.00011701701701701702, + "loss": 1.9904, + "step": 4155 + }, + { + "epoch": 0.416, + "grad_norm": 1.0385823249816895, + "learning_rate": 0.00011691691691691694, + "loss": 2.0096, + "step": 4160 + }, + { + "epoch": 0.4165, + "grad_norm": 0.9478892683982849, + "learning_rate": 0.00011681681681681682, + "loss": 2.0252, + "step": 4165 + }, + { + "epoch": 0.417, + "grad_norm": 0.904509961605072, + "learning_rate": 0.00011671671671671671, + "loss": 2.0162, + "step": 4170 + }, + { + "epoch": 0.4175, + "grad_norm": 0.8369683027267456, + "learning_rate": 0.00011661661661661662, + "loss": 2.009, + "step": 4175 + }, + { + "epoch": 0.418, + "grad_norm": 0.8266960382461548, + "learning_rate": 0.00011651651651651652, + "loss": 1.9785, + "step": 4180 + }, + { + "epoch": 0.4185, + "grad_norm": 0.8447481393814087, + "learning_rate": 0.00011641641641641644, + "loss": 1.9693, + "step": 4185 + }, + { + "epoch": 0.419, + "grad_norm": 0.8444758653640747, + "learning_rate": 0.00011631631631631632, + "loss": 1.9775, + "step": 4190 + }, + { + "epoch": 0.4195, + "grad_norm": 0.8235093355178833, + "learning_rate": 0.00011621621621621621, + "loss": 1.9557, + "step": 4195 + }, + { + "epoch": 0.42, + "grad_norm": 0.9242146611213684, + "learning_rate": 0.00011611611611611612, + "loss": 1.9597, + "step": 4200 + }, + { + "epoch": 0.4205, + "grad_norm": 0.8500037789344788, + "learning_rate": 0.00011601601601601601, + "loss": 1.9717, + "step": 4205 + }, + { + "epoch": 0.421, + "grad_norm": 0.8934337496757507, + "learning_rate": 0.00011591591591591592, + "loss": 1.9765, + "step": 4210 + }, + { + "epoch": 0.4215, + "grad_norm": 0.9102895855903625, + "learning_rate": 0.00011581581581581582, + "loss": 1.9449, + "step": 4215 + }, + { + "epoch": 0.422, + "grad_norm": 0.8801275491714478, + "learning_rate": 0.00011571571571571571, + "loss": 1.9337, + "step": 4220 + }, + { + "epoch": 0.4225, + "grad_norm": 0.9498214721679688, + "learning_rate": 0.00011561561561561562, + "loss": 1.9817, + "step": 4225 + }, + { + "epoch": 0.423, + "grad_norm": 0.9641104340553284, + "learning_rate": 0.00011551551551551551, + "loss": 1.9278, + "step": 4230 + }, + { + "epoch": 0.4235, + "grad_norm": 0.8352410793304443, + "learning_rate": 0.00011541541541541542, + "loss": 1.9225, + "step": 4235 + }, + { + "epoch": 0.424, + "grad_norm": 0.8993573784828186, + "learning_rate": 0.00011531531531531532, + "loss": 1.959, + "step": 4240 + }, + { + "epoch": 0.4245, + "grad_norm": 1.0262569189071655, + "learning_rate": 0.00011521521521521521, + "loss": 1.9422, + "step": 4245 + }, + { + "epoch": 0.425, + "grad_norm": 0.8517004251480103, + "learning_rate": 0.00011511511511511512, + "loss": 1.9638, + "step": 4250 + }, + { + "epoch": 0.4255, + "grad_norm": 0.9371127486228943, + "learning_rate": 0.00011501501501501501, + "loss": 1.9408, + "step": 4255 + }, + { + "epoch": 0.426, + "grad_norm": 0.8500112295150757, + "learning_rate": 0.00011491491491491492, + "loss": 1.9598, + "step": 4260 + }, + { + "epoch": 0.4265, + "grad_norm": 0.8576430082321167, + "learning_rate": 0.00011481481481481482, + "loss": 1.9172, + "step": 4265 + }, + { + "epoch": 0.427, + "grad_norm": 0.8595812320709229, + "learning_rate": 0.00011471471471471471, + "loss": 1.9099, + "step": 4270 + }, + { + "epoch": 0.4275, + "grad_norm": 0.8851966261863708, + "learning_rate": 0.00011461461461461463, + "loss": 1.9295, + "step": 4275 + }, + { + "epoch": 0.428, + "grad_norm": 0.8601343631744385, + "learning_rate": 0.00011451451451451451, + "loss": 1.9518, + "step": 4280 + }, + { + "epoch": 0.4285, + "grad_norm": 0.8601483106613159, + "learning_rate": 0.00011441441441441443, + "loss": 1.9821, + "step": 4285 + }, + { + "epoch": 0.429, + "grad_norm": 0.8733670711517334, + "learning_rate": 0.00011431431431431433, + "loss": 1.9475, + "step": 4290 + }, + { + "epoch": 0.4295, + "grad_norm": 0.8573125004768372, + "learning_rate": 0.00011421421421421421, + "loss": 1.92, + "step": 4295 + }, + { + "epoch": 0.43, + "grad_norm": 0.8779380321502686, + "learning_rate": 0.00011411411411411413, + "loss": 1.9252, + "step": 4300 + }, + { + "epoch": 0.4305, + "grad_norm": 0.842447817325592, + "learning_rate": 0.00011401401401401401, + "loss": 1.9418, + "step": 4305 + }, + { + "epoch": 0.431, + "grad_norm": 0.8564408421516418, + "learning_rate": 0.00011391391391391393, + "loss": 1.8845, + "step": 4310 + }, + { + "epoch": 0.4315, + "grad_norm": 0.9953034520149231, + "learning_rate": 0.00011381381381381381, + "loss": 1.9288, + "step": 4315 + }, + { + "epoch": 0.432, + "grad_norm": 0.9179754257202148, + "learning_rate": 0.00011371371371371371, + "loss": 1.9554, + "step": 4320 + }, + { + "epoch": 0.4325, + "grad_norm": 0.8732195496559143, + "learning_rate": 0.00011361361361361363, + "loss": 1.8688, + "step": 4325 + }, + { + "epoch": 0.433, + "grad_norm": 0.9357179999351501, + "learning_rate": 0.00011351351351351351, + "loss": 1.8807, + "step": 4330 + }, + { + "epoch": 0.4335, + "grad_norm": 0.9172531962394714, + "learning_rate": 0.00011341341341341343, + "loss": 1.9408, + "step": 4335 + }, + { + "epoch": 0.434, + "grad_norm": 0.8920251131057739, + "learning_rate": 0.00011331331331331331, + "loss": 1.8865, + "step": 4340 + }, + { + "epoch": 0.4345, + "grad_norm": 0.9782935380935669, + "learning_rate": 0.00011321321321321321, + "loss": 1.8862, + "step": 4345 + }, + { + "epoch": 0.435, + "grad_norm": 0.9634548425674438, + "learning_rate": 0.00011311311311311313, + "loss": 1.8773, + "step": 4350 + }, + { + "epoch": 0.4355, + "grad_norm": 0.9303472638130188, + "learning_rate": 0.00011301301301301301, + "loss": 1.9031, + "step": 4355 + }, + { + "epoch": 0.436, + "grad_norm": 0.9065335392951965, + "learning_rate": 0.00011291291291291293, + "loss": 1.9339, + "step": 4360 + }, + { + "epoch": 0.4365, + "grad_norm": 0.889884889125824, + "learning_rate": 0.00011281281281281281, + "loss": 1.9205, + "step": 4365 + }, + { + "epoch": 0.437, + "grad_norm": 1.0310100317001343, + "learning_rate": 0.00011271271271271271, + "loss": 1.8889, + "step": 4370 + }, + { + "epoch": 0.4375, + "grad_norm": 0.8499249219894409, + "learning_rate": 0.00011261261261261263, + "loss": 1.8759, + "step": 4375 + }, + { + "epoch": 0.438, + "grad_norm": 0.8602859377861023, + "learning_rate": 0.00011251251251251251, + "loss": 1.9448, + "step": 4380 + }, + { + "epoch": 0.4385, + "grad_norm": 0.8887655735015869, + "learning_rate": 0.00011241241241241243, + "loss": 1.8755, + "step": 4385 + }, + { + "epoch": 0.439, + "grad_norm": 0.8571450114250183, + "learning_rate": 0.00011231231231231231, + "loss": 1.8516, + "step": 4390 + }, + { + "epoch": 0.4395, + "grad_norm": 1.1664048433303833, + "learning_rate": 0.00011221221221221221, + "loss": 1.8886, + "step": 4395 + }, + { + "epoch": 0.44, + "grad_norm": 0.8851452469825745, + "learning_rate": 0.00011211211211211213, + "loss": 1.8924, + "step": 4400 + }, + { + "epoch": 0.4405, + "grad_norm": 0.9703869223594666, + "learning_rate": 0.00011201201201201202, + "loss": 1.8651, + "step": 4405 + }, + { + "epoch": 0.441, + "grad_norm": 0.9467156529426575, + "learning_rate": 0.00011191191191191193, + "loss": 1.8938, + "step": 4410 + }, + { + "epoch": 0.4415, + "grad_norm": 0.9211694598197937, + "learning_rate": 0.00011181181181181182, + "loss": 1.9098, + "step": 4415 + }, + { + "epoch": 0.442, + "grad_norm": 0.8704224228858948, + "learning_rate": 0.0001117117117117117, + "loss": 1.8772, + "step": 4420 + }, + { + "epoch": 0.4425, + "grad_norm": 0.9551790356636047, + "learning_rate": 0.00011161161161161162, + "loss": 1.8752, + "step": 4425 + }, + { + "epoch": 0.443, + "grad_norm": 0.9262571334838867, + "learning_rate": 0.00011151151151151152, + "loss": 1.8697, + "step": 4430 + }, + { + "epoch": 0.4435, + "grad_norm": 0.8499231338500977, + "learning_rate": 0.00011141141141141143, + "loss": 1.8876, + "step": 4435 + }, + { + "epoch": 0.444, + "grad_norm": 0.8752108812332153, + "learning_rate": 0.00011131131131131132, + "loss": 1.9077, + "step": 4440 + }, + { + "epoch": 0.4445, + "grad_norm": 0.9217672944068909, + "learning_rate": 0.0001112112112112112, + "loss": 1.8906, + "step": 4445 + }, + { + "epoch": 0.445, + "grad_norm": 0.9115353226661682, + "learning_rate": 0.00011111111111111112, + "loss": 1.8512, + "step": 4450 + }, + { + "epoch": 0.4455, + "grad_norm": 0.8915761113166809, + "learning_rate": 0.00011101101101101102, + "loss": 1.8281, + "step": 4455 + }, + { + "epoch": 0.446, + "grad_norm": 0.8932358026504517, + "learning_rate": 0.00011091091091091093, + "loss": 1.8797, + "step": 4460 + }, + { + "epoch": 0.4465, + "grad_norm": 0.9420803189277649, + "learning_rate": 0.00011081081081081082, + "loss": 1.8532, + "step": 4465 + }, + { + "epoch": 0.447, + "grad_norm": 0.9950898885726929, + "learning_rate": 0.0001107107107107107, + "loss": 1.8449, + "step": 4470 + }, + { + "epoch": 0.4475, + "grad_norm": 0.9600904583930969, + "learning_rate": 0.00011061061061061062, + "loss": 1.8968, + "step": 4475 + }, + { + "epoch": 0.448, + "grad_norm": 0.9210178256034851, + "learning_rate": 0.00011051051051051052, + "loss": 1.9221, + "step": 4480 + }, + { + "epoch": 0.4485, + "grad_norm": 0.9000430107116699, + "learning_rate": 0.00011041041041041043, + "loss": 1.8657, + "step": 4485 + }, + { + "epoch": 0.449, + "grad_norm": 0.8674874901771545, + "learning_rate": 0.00011031031031031032, + "loss": 1.8752, + "step": 4490 + }, + { + "epoch": 0.4495, + "grad_norm": 0.943356990814209, + "learning_rate": 0.0001102102102102102, + "loss": 1.8241, + "step": 4495 + }, + { + "epoch": 0.45, + "grad_norm": 0.990490734577179, + "learning_rate": 0.00011011011011011012, + "loss": 1.859, + "step": 4500 + }, + { + "epoch": 0.4505, + "grad_norm": 0.9066656827926636, + "learning_rate": 0.00011001001001001002, + "loss": 1.8771, + "step": 4505 + }, + { + "epoch": 0.451, + "grad_norm": 0.9334986209869385, + "learning_rate": 0.00010990990990990993, + "loss": 1.8818, + "step": 4510 + }, + { + "epoch": 0.4515, + "grad_norm": 0.9269065856933594, + "learning_rate": 0.00010980980980980982, + "loss": 1.8744, + "step": 4515 + }, + { + "epoch": 0.452, + "grad_norm": 0.8838782906532288, + "learning_rate": 0.0001097097097097097, + "loss": 1.8927, + "step": 4520 + }, + { + "epoch": 0.4525, + "grad_norm": 0.8809515237808228, + "learning_rate": 0.00010960960960960962, + "loss": 1.865, + "step": 4525 + }, + { + "epoch": 0.453, + "grad_norm": 0.8855170011520386, + "learning_rate": 0.0001095095095095095, + "loss": 1.8636, + "step": 4530 + }, + { + "epoch": 0.4535, + "grad_norm": 0.850659191608429, + "learning_rate": 0.00010940940940940942, + "loss": 1.8416, + "step": 4535 + }, + { + "epoch": 0.454, + "grad_norm": 1.209594488143921, + "learning_rate": 0.00010930930930930932, + "loss": 1.8474, + "step": 4540 + }, + { + "epoch": 0.4545, + "grad_norm": 0.9443528056144714, + "learning_rate": 0.0001092092092092092, + "loss": 1.853, + "step": 4545 + }, + { + "epoch": 0.455, + "grad_norm": 0.8795249462127686, + "learning_rate": 0.00010910910910910912, + "loss": 1.8462, + "step": 4550 + }, + { + "epoch": 0.4555, + "grad_norm": 0.9223023653030396, + "learning_rate": 0.000109009009009009, + "loss": 1.8644, + "step": 4555 + }, + { + "epoch": 0.456, + "grad_norm": 0.8747789263725281, + "learning_rate": 0.00010890890890890892, + "loss": 1.8643, + "step": 4560 + }, + { + "epoch": 0.4565, + "grad_norm": 0.8761250376701355, + "learning_rate": 0.00010880880880880882, + "loss": 1.8209, + "step": 4565 + }, + { + "epoch": 0.457, + "grad_norm": 0.8845246434211731, + "learning_rate": 0.0001087087087087087, + "loss": 1.8566, + "step": 4570 + }, + { + "epoch": 0.4575, + "grad_norm": 0.8876487016677856, + "learning_rate": 0.00010860860860860862, + "loss": 1.8304, + "step": 4575 + }, + { + "epoch": 0.458, + "grad_norm": 0.9176833033561707, + "learning_rate": 0.0001085085085085085, + "loss": 1.8323, + "step": 4580 + }, + { + "epoch": 0.4585, + "grad_norm": 0.9132845997810364, + "learning_rate": 0.00010840840840840842, + "loss": 1.8235, + "step": 4585 + }, + { + "epoch": 0.459, + "grad_norm": 0.8965134024620056, + "learning_rate": 0.00010830830830830832, + "loss": 1.8405, + "step": 4590 + }, + { + "epoch": 0.4595, + "grad_norm": 0.8731141686439514, + "learning_rate": 0.00010820820820820821, + "loss": 1.8521, + "step": 4595 + }, + { + "epoch": 0.46, + "grad_norm": 0.8298085927963257, + "learning_rate": 0.00010810810810810812, + "loss": 1.8678, + "step": 4600 + }, + { + "epoch": 0.4605, + "grad_norm": 0.9257004261016846, + "learning_rate": 0.00010800800800800801, + "loss": 1.8492, + "step": 4605 + }, + { + "epoch": 0.461, + "grad_norm": 0.8877549767494202, + "learning_rate": 0.00010790790790790792, + "loss": 1.8265, + "step": 4610 + }, + { + "epoch": 0.4615, + "grad_norm": 0.9602069854736328, + "learning_rate": 0.00010780780780780782, + "loss": 1.8731, + "step": 4615 + }, + { + "epoch": 0.462, + "grad_norm": 0.8777331113815308, + "learning_rate": 0.00010770770770770771, + "loss": 1.8595, + "step": 4620 + }, + { + "epoch": 0.4625, + "grad_norm": 1.8534454107284546, + "learning_rate": 0.00010760760760760762, + "loss": 3.3102, + "step": 4625 + }, + { + "epoch": 0.463, + "grad_norm": 1.721049189567566, + "learning_rate": 0.00010750750750750751, + "loss": 3.1247, + "step": 4630 + }, + { + "epoch": 0.4635, + "grad_norm": 1.1871305704116821, + "learning_rate": 0.00010740740740740742, + "loss": 3.0256, + "step": 4635 + }, + { + "epoch": 0.464, + "grad_norm": 0.9916480183601379, + "learning_rate": 0.00010730730730730731, + "loss": 2.9173, + "step": 4640 + }, + { + "epoch": 0.4645, + "grad_norm": 0.8853825330734253, + "learning_rate": 0.00010720720720720721, + "loss": 2.8852, + "step": 4645 + }, + { + "epoch": 0.465, + "grad_norm": 0.9272099733352661, + "learning_rate": 0.00010710710710710712, + "loss": 2.8115, + "step": 4650 + }, + { + "epoch": 0.4655, + "grad_norm": 0.8129410743713379, + "learning_rate": 0.00010700700700700701, + "loss": 2.7959, + "step": 4655 + }, + { + "epoch": 0.466, + "grad_norm": 0.8323870301246643, + "learning_rate": 0.00010690690690690692, + "loss": 2.7888, + "step": 4660 + }, + { + "epoch": 0.4665, + "grad_norm": 0.8004547953605652, + "learning_rate": 0.00010680680680680681, + "loss": 2.7576, + "step": 4665 + }, + { + "epoch": 0.467, + "grad_norm": 0.7928503155708313, + "learning_rate": 0.00010670670670670671, + "loss": 2.7664, + "step": 4670 + }, + { + "epoch": 0.4675, + "grad_norm": 0.773970901966095, + "learning_rate": 0.00010660660660660662, + "loss": 2.7214, + "step": 4675 + }, + { + "epoch": 0.468, + "grad_norm": 0.8073243498802185, + "learning_rate": 0.00010650650650650651, + "loss": 2.7298, + "step": 4680 + }, + { + "epoch": 0.4685, + "grad_norm": 0.7617459297180176, + "learning_rate": 0.00010640640640640642, + "loss": 2.7076, + "step": 4685 + }, + { + "epoch": 0.469, + "grad_norm": 0.8188638687133789, + "learning_rate": 0.00010630630630630631, + "loss": 2.7152, + "step": 4690 + }, + { + "epoch": 0.4695, + "grad_norm": 0.8789124488830566, + "learning_rate": 0.00010620620620620621, + "loss": 2.6893, + "step": 4695 + }, + { + "epoch": 0.47, + "grad_norm": 0.8619881272315979, + "learning_rate": 0.00010610610610610612, + "loss": 2.695, + "step": 4700 + }, + { + "epoch": 0.4705, + "grad_norm": 0.7400351762771606, + "learning_rate": 0.00010600600600600601, + "loss": 2.6962, + "step": 4705 + }, + { + "epoch": 0.471, + "grad_norm": 0.7460540533065796, + "learning_rate": 0.0001059059059059059, + "loss": 2.6435, + "step": 4710 + }, + { + "epoch": 0.4715, + "grad_norm": 0.8136820793151855, + "learning_rate": 0.00010580580580580581, + "loss": 2.6901, + "step": 4715 + }, + { + "epoch": 0.472, + "grad_norm": 0.767340362071991, + "learning_rate": 0.00010570570570570571, + "loss": 2.6748, + "step": 4720 + }, + { + "epoch": 0.4725, + "grad_norm": 0.7789919376373291, + "learning_rate": 0.00010560560560560562, + "loss": 2.6534, + "step": 4725 + }, + { + "epoch": 0.473, + "grad_norm": 0.8018049597740173, + "learning_rate": 0.00010550550550550551, + "loss": 2.652, + "step": 4730 + }, + { + "epoch": 0.4735, + "grad_norm": 0.753203809261322, + "learning_rate": 0.0001054054054054054, + "loss": 2.6453, + "step": 4735 + }, + { + "epoch": 0.474, + "grad_norm": 0.758394718170166, + "learning_rate": 0.00010530530530530531, + "loss": 2.6405, + "step": 4740 + }, + { + "epoch": 0.4745, + "grad_norm": 0.7693637609481812, + "learning_rate": 0.0001052052052052052, + "loss": 2.5966, + "step": 4745 + }, + { + "epoch": 0.475, + "grad_norm": 0.7242591381072998, + "learning_rate": 0.00010510510510510511, + "loss": 2.6375, + "step": 4750 + }, + { + "epoch": 0.4755, + "grad_norm": 0.8229799270629883, + "learning_rate": 0.00010500500500500501, + "loss": 2.6175, + "step": 4755 + }, + { + "epoch": 0.476, + "grad_norm": 0.7987326383590698, + "learning_rate": 0.0001049049049049049, + "loss": 2.6413, + "step": 4760 + }, + { + "epoch": 0.4765, + "grad_norm": 0.7526589632034302, + "learning_rate": 0.00010480480480480481, + "loss": 2.6501, + "step": 4765 + }, + { + "epoch": 0.477, + "grad_norm": 0.7456768155097961, + "learning_rate": 0.0001047047047047047, + "loss": 2.5909, + "step": 4770 + }, + { + "epoch": 0.4775, + "grad_norm": 0.8570939302444458, + "learning_rate": 0.00010460460460460461, + "loss": 2.6188, + "step": 4775 + }, + { + "epoch": 0.478, + "grad_norm": 0.8006309866905212, + "learning_rate": 0.00010450450450450451, + "loss": 2.6194, + "step": 4780 + }, + { + "epoch": 0.4785, + "grad_norm": 0.8089258074760437, + "learning_rate": 0.0001044044044044044, + "loss": 2.6106, + "step": 4785 + }, + { + "epoch": 0.479, + "grad_norm": 0.7953463196754456, + "learning_rate": 0.00010430430430430431, + "loss": 2.5841, + "step": 4790 + }, + { + "epoch": 0.4795, + "grad_norm": 0.8188151121139526, + "learning_rate": 0.0001042042042042042, + "loss": 2.6067, + "step": 4795 + }, + { + "epoch": 0.48, + "grad_norm": 0.769829511642456, + "learning_rate": 0.00010410410410410411, + "loss": 2.5939, + "step": 4800 + }, + { + "epoch": 0.4805, + "grad_norm": 0.7330535650253296, + "learning_rate": 0.00010400400400400401, + "loss": 2.5979, + "step": 4805 + }, + { + "epoch": 0.481, + "grad_norm": 0.817407488822937, + "learning_rate": 0.0001039039039039039, + "loss": 2.6022, + "step": 4810 + }, + { + "epoch": 0.4815, + "grad_norm": 0.7732321619987488, + "learning_rate": 0.00010380380380380381, + "loss": 2.5937, + "step": 4815 + }, + { + "epoch": 0.482, + "grad_norm": 0.800410270690918, + "learning_rate": 0.0001037037037037037, + "loss": 2.5957, + "step": 4820 + }, + { + "epoch": 0.4825, + "grad_norm": 0.7640219926834106, + "learning_rate": 0.00010360360360360361, + "loss": 2.5787, + "step": 4825 + }, + { + "epoch": 0.483, + "grad_norm": 0.7671935558319092, + "learning_rate": 0.00010350350350350351, + "loss": 2.5831, + "step": 4830 + }, + { + "epoch": 0.4835, + "grad_norm": 0.8024823069572449, + "learning_rate": 0.0001034034034034034, + "loss": 2.5631, + "step": 4835 + }, + { + "epoch": 0.484, + "grad_norm": 0.770573616027832, + "learning_rate": 0.00010330330330330331, + "loss": 2.5876, + "step": 4840 + }, + { + "epoch": 0.4845, + "grad_norm": 0.7440877556800842, + "learning_rate": 0.0001032032032032032, + "loss": 2.5764, + "step": 4845 + }, + { + "epoch": 0.485, + "grad_norm": 0.758750319480896, + "learning_rate": 0.00010310310310310311, + "loss": 2.5851, + "step": 4850 + }, + { + "epoch": 0.4855, + "grad_norm": 0.7744156122207642, + "learning_rate": 0.000103003003003003, + "loss": 2.5564, + "step": 4855 + }, + { + "epoch": 0.486, + "grad_norm": 0.7538742423057556, + "learning_rate": 0.0001029029029029029, + "loss": 2.5862, + "step": 4860 + }, + { + "epoch": 0.4865, + "grad_norm": 0.7862333059310913, + "learning_rate": 0.00010280280280280281, + "loss": 2.5591, + "step": 4865 + }, + { + "epoch": 0.487, + "grad_norm": 0.7841285467147827, + "learning_rate": 0.0001027027027027027, + "loss": 2.5757, + "step": 4870 + }, + { + "epoch": 0.4875, + "grad_norm": 0.8739153146743774, + "learning_rate": 0.00010260260260260261, + "loss": 2.5542, + "step": 4875 + }, + { + "epoch": 0.488, + "grad_norm": 0.744562029838562, + "learning_rate": 0.0001025025025025025, + "loss": 2.5323, + "step": 4880 + }, + { + "epoch": 0.4885, + "grad_norm": 0.7456634044647217, + "learning_rate": 0.0001024024024024024, + "loss": 2.5738, + "step": 4885 + }, + { + "epoch": 0.489, + "grad_norm": 0.835354208946228, + "learning_rate": 0.00010230230230230232, + "loss": 2.5632, + "step": 4890 + }, + { + "epoch": 0.4895, + "grad_norm": 0.8080532550811768, + "learning_rate": 0.0001022022022022022, + "loss": 2.5492, + "step": 4895 + }, + { + "epoch": 0.49, + "grad_norm": 0.7578943967819214, + "learning_rate": 0.00010210210210210212, + "loss": 2.5519, + "step": 4900 + }, + { + "epoch": 0.4905, + "grad_norm": 0.7827736735343933, + "learning_rate": 0.000102002002002002, + "loss": 2.5651, + "step": 4905 + }, + { + "epoch": 0.491, + "grad_norm": 0.7860758304595947, + "learning_rate": 0.0001019019019019019, + "loss": 2.587, + "step": 4910 + }, + { + "epoch": 0.4915, + "grad_norm": 0.7887434959411621, + "learning_rate": 0.00010180180180180182, + "loss": 2.5429, + "step": 4915 + }, + { + "epoch": 0.492, + "grad_norm": 0.7806670665740967, + "learning_rate": 0.0001017017017017017, + "loss": 2.5506, + "step": 4920 + }, + { + "epoch": 0.4925, + "grad_norm": 0.7844783663749695, + "learning_rate": 0.00010160160160160162, + "loss": 2.5566, + "step": 4925 + }, + { + "epoch": 0.493, + "grad_norm": 0.7470987439155579, + "learning_rate": 0.0001015015015015015, + "loss": 2.5615, + "step": 4930 + }, + { + "epoch": 0.4935, + "grad_norm": 0.7789111137390137, + "learning_rate": 0.0001014014014014014, + "loss": 2.5579, + "step": 4935 + }, + { + "epoch": 0.494, + "grad_norm": 0.7943547368049622, + "learning_rate": 0.00010130130130130132, + "loss": 2.5328, + "step": 4940 + }, + { + "epoch": 0.4945, + "grad_norm": 0.7838632464408875, + "learning_rate": 0.0001012012012012012, + "loss": 2.5306, + "step": 4945 + }, + { + "epoch": 0.495, + "grad_norm": 0.7697449922561646, + "learning_rate": 0.00010110110110110112, + "loss": 2.5541, + "step": 4950 + }, + { + "epoch": 0.4955, + "grad_norm": 0.7821655869483948, + "learning_rate": 0.000101001001001001, + "loss": 2.5184, + "step": 4955 + }, + { + "epoch": 0.496, + "grad_norm": 0.7613987326622009, + "learning_rate": 0.00010090090090090089, + "loss": 2.5349, + "step": 4960 + }, + { + "epoch": 0.4965, + "grad_norm": 0.7794037461280823, + "learning_rate": 0.0001008008008008008, + "loss": 2.5391, + "step": 4965 + }, + { + "epoch": 0.497, + "grad_norm": 0.7633383870124817, + "learning_rate": 0.0001007007007007007, + "loss": 2.521, + "step": 4970 + }, + { + "epoch": 0.4975, + "grad_norm": 0.7773224115371704, + "learning_rate": 0.00010060060060060062, + "loss": 2.5439, + "step": 4975 + }, + { + "epoch": 0.498, + "grad_norm": 0.8238345384597778, + "learning_rate": 0.0001005005005005005, + "loss": 2.5084, + "step": 4980 + }, + { + "epoch": 0.4985, + "grad_norm": 0.8315170407295227, + "learning_rate": 0.00010040040040040039, + "loss": 2.5312, + "step": 4985 + }, + { + "epoch": 0.499, + "grad_norm": 0.8703632950782776, + "learning_rate": 0.0001003003003003003, + "loss": 2.5212, + "step": 4990 + }, + { + "epoch": 0.4995, + "grad_norm": 0.8008772134780884, + "learning_rate": 0.0001002002002002002, + "loss": 2.5373, + "step": 4995 + }, + { + "epoch": 0.5, + "grad_norm": 0.7883898019790649, + "learning_rate": 0.00010010010010010012, + "loss": 2.5194, + "step": 5000 + }, + { + "epoch": 0.5005, + "grad_norm": 0.7612689733505249, + "learning_rate": 0.0001, + "loss": 2.5253, + "step": 5005 + }, + { + "epoch": 0.501, + "grad_norm": 0.8001552224159241, + "learning_rate": 9.98998998998999e-05, + "loss": 2.5255, + "step": 5010 + }, + { + "epoch": 0.5015, + "grad_norm": 0.8067675828933716, + "learning_rate": 9.97997997997998e-05, + "loss": 2.5127, + "step": 5015 + }, + { + "epoch": 0.502, + "grad_norm": 0.7785462737083435, + "learning_rate": 9.96996996996997e-05, + "loss": 2.5064, + "step": 5020 + }, + { + "epoch": 0.5025, + "grad_norm": 0.8287351727485657, + "learning_rate": 9.95995995995996e-05, + "loss": 2.5255, + "step": 5025 + }, + { + "epoch": 0.503, + "grad_norm": 0.7444617748260498, + "learning_rate": 9.94994994994995e-05, + "loss": 2.5084, + "step": 5030 + }, + { + "epoch": 0.5035, + "grad_norm": 0.7671459317207336, + "learning_rate": 9.93993993993994e-05, + "loss": 2.5063, + "step": 5035 + }, + { + "epoch": 0.504, + "grad_norm": 0.7833889722824097, + "learning_rate": 9.92992992992993e-05, + "loss": 2.4893, + "step": 5040 + }, + { + "epoch": 0.5045, + "grad_norm": 0.7985659837722778, + "learning_rate": 9.91991991991992e-05, + "loss": 2.5383, + "step": 5045 + }, + { + "epoch": 0.505, + "grad_norm": 0.8089566230773926, + "learning_rate": 9.90990990990991e-05, + "loss": 2.5032, + "step": 5050 + }, + { + "epoch": 0.5055, + "grad_norm": 0.8146255016326904, + "learning_rate": 9.8998998998999e-05, + "loss": 2.4998, + "step": 5055 + }, + { + "epoch": 0.506, + "grad_norm": 0.7463052272796631, + "learning_rate": 9.88988988988989e-05, + "loss": 2.516, + "step": 5060 + }, + { + "epoch": 0.5065, + "grad_norm": 0.8386415243148804, + "learning_rate": 9.87987987987988e-05, + "loss": 2.5193, + "step": 5065 + }, + { + "epoch": 0.507, + "grad_norm": 0.766620934009552, + "learning_rate": 9.869869869869869e-05, + "loss": 2.5227, + "step": 5070 + }, + { + "epoch": 0.5075, + "grad_norm": 0.881860613822937, + "learning_rate": 9.85985985985986e-05, + "loss": 2.5267, + "step": 5075 + }, + { + "epoch": 0.508, + "grad_norm": 0.8524314165115356, + "learning_rate": 9.849849849849851e-05, + "loss": 2.5039, + "step": 5080 + }, + { + "epoch": 0.5085, + "grad_norm": 0.7791292667388916, + "learning_rate": 9.839839839839841e-05, + "loss": 2.5291, + "step": 5085 + }, + { + "epoch": 0.509, + "grad_norm": 0.805531919002533, + "learning_rate": 9.829829829829831e-05, + "loss": 2.5162, + "step": 5090 + }, + { + "epoch": 0.5095, + "grad_norm": 0.8797053694725037, + "learning_rate": 9.81981981981982e-05, + "loss": 2.4864, + "step": 5095 + }, + { + "epoch": 0.51, + "grad_norm": 0.7774877548217773, + "learning_rate": 9.809809809809811e-05, + "loss": 2.5218, + "step": 5100 + }, + { + "epoch": 0.5105, + "grad_norm": 0.743796706199646, + "learning_rate": 9.799799799799801e-05, + "loss": 2.5168, + "step": 5105 + }, + { + "epoch": 0.511, + "grad_norm": 0.8754458427429199, + "learning_rate": 9.789789789789791e-05, + "loss": 2.4804, + "step": 5110 + }, + { + "epoch": 0.5115, + "grad_norm": 0.8188790082931519, + "learning_rate": 9.779779779779781e-05, + "loss": 2.5051, + "step": 5115 + }, + { + "epoch": 0.512, + "grad_norm": 0.8211973309516907, + "learning_rate": 9.76976976976977e-05, + "loss": 2.4978, + "step": 5120 + }, + { + "epoch": 0.5125, + "grad_norm": 0.8346189856529236, + "learning_rate": 9.75975975975976e-05, + "loss": 2.509, + "step": 5125 + }, + { + "epoch": 0.513, + "grad_norm": 0.7698317766189575, + "learning_rate": 9.749749749749751e-05, + "loss": 2.5271, + "step": 5130 + }, + { + "epoch": 0.5135, + "grad_norm": 0.7541659474372864, + "learning_rate": 9.739739739739741e-05, + "loss": 2.5088, + "step": 5135 + }, + { + "epoch": 0.514, + "grad_norm": 0.772386372089386, + "learning_rate": 9.729729729729731e-05, + "loss": 2.4997, + "step": 5140 + }, + { + "epoch": 0.5145, + "grad_norm": 0.7649770379066467, + "learning_rate": 9.71971971971972e-05, + "loss": 2.5038, + "step": 5145 + }, + { + "epoch": 0.515, + "grad_norm": 0.7980897426605225, + "learning_rate": 9.70970970970971e-05, + "loss": 2.4947, + "step": 5150 + }, + { + "epoch": 0.5155, + "grad_norm": 0.7903638482093811, + "learning_rate": 9.699699699699701e-05, + "loss": 2.5041, + "step": 5155 + }, + { + "epoch": 0.516, + "grad_norm": 0.7857434153556824, + "learning_rate": 9.689689689689691e-05, + "loss": 2.4701, + "step": 5160 + }, + { + "epoch": 0.5165, + "grad_norm": 0.7594984173774719, + "learning_rate": 9.67967967967968e-05, + "loss": 2.482, + "step": 5165 + }, + { + "epoch": 0.517, + "grad_norm": 0.7621155977249146, + "learning_rate": 9.66966966966967e-05, + "loss": 2.4901, + "step": 5170 + }, + { + "epoch": 0.5175, + "grad_norm": 0.7377651333808899, + "learning_rate": 9.65965965965966e-05, + "loss": 2.4988, + "step": 5175 + }, + { + "epoch": 0.518, + "grad_norm": 0.7642138004302979, + "learning_rate": 9.64964964964965e-05, + "loss": 2.4907, + "step": 5180 + }, + { + "epoch": 0.5185, + "grad_norm": 0.7919954657554626, + "learning_rate": 9.639639639639641e-05, + "loss": 2.4889, + "step": 5185 + }, + { + "epoch": 0.519, + "grad_norm": 0.7576303482055664, + "learning_rate": 9.62962962962963e-05, + "loss": 2.4957, + "step": 5190 + }, + { + "epoch": 0.5195, + "grad_norm": 0.7910977602005005, + "learning_rate": 9.61961961961962e-05, + "loss": 2.514, + "step": 5195 + }, + { + "epoch": 0.52, + "grad_norm": 0.7882610559463501, + "learning_rate": 9.60960960960961e-05, + "loss": 2.5047, + "step": 5200 + }, + { + "epoch": 0.5205, + "grad_norm": 0.7650166749954224, + "learning_rate": 9.5995995995996e-05, + "loss": 2.5049, + "step": 5205 + }, + { + "epoch": 0.521, + "grad_norm": 0.7797821760177612, + "learning_rate": 9.589589589589591e-05, + "loss": 2.4762, + "step": 5210 + }, + { + "epoch": 0.5215, + "grad_norm": 0.8017827272415161, + "learning_rate": 9.57957957957958e-05, + "loss": 2.4738, + "step": 5215 + }, + { + "epoch": 0.522, + "grad_norm": 0.8328955769538879, + "learning_rate": 9.56956956956957e-05, + "loss": 2.4818, + "step": 5220 + }, + { + "epoch": 0.5225, + "grad_norm": 0.7545986771583557, + "learning_rate": 9.55955955955956e-05, + "loss": 2.4761, + "step": 5225 + }, + { + "epoch": 0.523, + "grad_norm": 0.7941020131111145, + "learning_rate": 9.54954954954955e-05, + "loss": 2.4854, + "step": 5230 + }, + { + "epoch": 0.5235, + "grad_norm": 0.7584949135780334, + "learning_rate": 9.53953953953954e-05, + "loss": 2.5069, + "step": 5235 + }, + { + "epoch": 0.524, + "grad_norm": 0.7539657950401306, + "learning_rate": 9.52952952952953e-05, + "loss": 2.4839, + "step": 5240 + }, + { + "epoch": 0.5245, + "grad_norm": 0.7383254766464233, + "learning_rate": 9.51951951951952e-05, + "loss": 2.4814, + "step": 5245 + }, + { + "epoch": 0.525, + "grad_norm": 0.7786048650741577, + "learning_rate": 9.50950950950951e-05, + "loss": 2.4866, + "step": 5250 + }, + { + "epoch": 0.5255, + "grad_norm": 0.8005134463310242, + "learning_rate": 9.4994994994995e-05, + "loss": 2.5035, + "step": 5255 + }, + { + "epoch": 0.526, + "grad_norm": 0.8875206112861633, + "learning_rate": 9.48948948948949e-05, + "loss": 2.5053, + "step": 5260 + }, + { + "epoch": 0.5265, + "grad_norm": 0.8146237134933472, + "learning_rate": 9.47947947947948e-05, + "loss": 2.4957, + "step": 5265 + }, + { + "epoch": 0.527, + "grad_norm": 0.7780102491378784, + "learning_rate": 9.46946946946947e-05, + "loss": 2.4801, + "step": 5270 + }, + { + "epoch": 0.5275, + "grad_norm": 0.7808942794799805, + "learning_rate": 9.45945945945946e-05, + "loss": 2.4874, + "step": 5275 + }, + { + "epoch": 0.528, + "grad_norm": 0.7710458636283875, + "learning_rate": 9.44944944944945e-05, + "loss": 2.4638, + "step": 5280 + }, + { + "epoch": 0.5285, + "grad_norm": 0.8187270760536194, + "learning_rate": 9.43943943943944e-05, + "loss": 2.4815, + "step": 5285 + }, + { + "epoch": 0.529, + "grad_norm": 0.8260098695755005, + "learning_rate": 9.42942942942943e-05, + "loss": 2.4785, + "step": 5290 + }, + { + "epoch": 0.5295, + "grad_norm": 0.7852158546447754, + "learning_rate": 9.41941941941942e-05, + "loss": 2.4868, + "step": 5295 + }, + { + "epoch": 0.53, + "grad_norm": 0.7950302362442017, + "learning_rate": 9.40940940940941e-05, + "loss": 2.4811, + "step": 5300 + }, + { + "epoch": 0.5305, + "grad_norm": 0.7699114084243774, + "learning_rate": 9.3993993993994e-05, + "loss": 2.4562, + "step": 5305 + }, + { + "epoch": 0.531, + "grad_norm": 0.757371723651886, + "learning_rate": 9.38938938938939e-05, + "loss": 2.4517, + "step": 5310 + }, + { + "epoch": 0.5315, + "grad_norm": 0.8255384564399719, + "learning_rate": 9.37937937937938e-05, + "loss": 2.4831, + "step": 5315 + }, + { + "epoch": 0.532, + "grad_norm": 0.7833475470542908, + "learning_rate": 9.36936936936937e-05, + "loss": 2.4769, + "step": 5320 + }, + { + "epoch": 0.5325, + "grad_norm": 0.7572566866874695, + "learning_rate": 9.35935935935936e-05, + "loss": 2.4686, + "step": 5325 + }, + { + "epoch": 0.533, + "grad_norm": 0.8141648173332214, + "learning_rate": 9.34934934934935e-05, + "loss": 2.5026, + "step": 5330 + }, + { + "epoch": 0.5335, + "grad_norm": 0.7930201888084412, + "learning_rate": 9.33933933933934e-05, + "loss": 2.4667, + "step": 5335 + }, + { + "epoch": 0.534, + "grad_norm": 0.7503666877746582, + "learning_rate": 9.329329329329329e-05, + "loss": 2.4418, + "step": 5340 + }, + { + "epoch": 0.5345, + "grad_norm": 0.7474675178527832, + "learning_rate": 9.31931931931932e-05, + "loss": 2.4644, + "step": 5345 + }, + { + "epoch": 0.535, + "grad_norm": 0.7890115976333618, + "learning_rate": 9.30930930930931e-05, + "loss": 2.4742, + "step": 5350 + }, + { + "epoch": 0.5355, + "grad_norm": 0.7615987658500671, + "learning_rate": 9.2992992992993e-05, + "loss": 2.4894, + "step": 5355 + }, + { + "epoch": 0.536, + "grad_norm": 0.810775876045227, + "learning_rate": 9.28928928928929e-05, + "loss": 2.4453, + "step": 5360 + }, + { + "epoch": 0.5365, + "grad_norm": 0.7598344087600708, + "learning_rate": 9.279279279279279e-05, + "loss": 2.4611, + "step": 5365 + }, + { + "epoch": 0.537, + "grad_norm": 0.7713881134986877, + "learning_rate": 9.26926926926927e-05, + "loss": 2.4825, + "step": 5370 + }, + { + "epoch": 0.5375, + "grad_norm": 0.8551222681999207, + "learning_rate": 9.25925925925926e-05, + "loss": 2.4547, + "step": 5375 + }, + { + "epoch": 0.538, + "grad_norm": 0.8191784620285034, + "learning_rate": 9.24924924924925e-05, + "loss": 2.4596, + "step": 5380 + }, + { + "epoch": 0.5385, + "grad_norm": 0.7814502716064453, + "learning_rate": 9.23923923923924e-05, + "loss": 2.4548, + "step": 5385 + }, + { + "epoch": 0.539, + "grad_norm": 0.7861321568489075, + "learning_rate": 9.229229229229229e-05, + "loss": 2.4771, + "step": 5390 + }, + { + "epoch": 0.5395, + "grad_norm": 0.7862023115158081, + "learning_rate": 9.219219219219219e-05, + "loss": 2.4826, + "step": 5395 + }, + { + "epoch": 0.54, + "grad_norm": 0.7637827396392822, + "learning_rate": 9.20920920920921e-05, + "loss": 2.4617, + "step": 5400 + }, + { + "epoch": 0.5405, + "grad_norm": 0.7903456687927246, + "learning_rate": 9.1991991991992e-05, + "loss": 2.4544, + "step": 5405 + }, + { + "epoch": 0.541, + "grad_norm": 0.7984066605567932, + "learning_rate": 9.18918918918919e-05, + "loss": 2.4591, + "step": 5410 + }, + { + "epoch": 0.5415, + "grad_norm": 0.8397104144096375, + "learning_rate": 9.179179179179179e-05, + "loss": 2.4563, + "step": 5415 + }, + { + "epoch": 0.542, + "grad_norm": 0.7787863612174988, + "learning_rate": 9.169169169169169e-05, + "loss": 2.4732, + "step": 5420 + }, + { + "epoch": 0.5425, + "grad_norm": 0.7683889269828796, + "learning_rate": 9.15915915915916e-05, + "loss": 2.4769, + "step": 5425 + }, + { + "epoch": 0.543, + "grad_norm": 0.7939984202384949, + "learning_rate": 9.14914914914915e-05, + "loss": 2.461, + "step": 5430 + }, + { + "epoch": 0.5435, + "grad_norm": 0.7943704724311829, + "learning_rate": 9.13913913913914e-05, + "loss": 2.4749, + "step": 5435 + }, + { + "epoch": 0.544, + "grad_norm": 0.7761884927749634, + "learning_rate": 9.129129129129129e-05, + "loss": 2.4591, + "step": 5440 + }, + { + "epoch": 0.5445, + "grad_norm": 0.7611567974090576, + "learning_rate": 9.119119119119119e-05, + "loss": 2.4588, + "step": 5445 + }, + { + "epoch": 0.545, + "grad_norm": 0.7688775658607483, + "learning_rate": 9.109109109109109e-05, + "loss": 2.4652, + "step": 5450 + }, + { + "epoch": 0.5455, + "grad_norm": 0.7897481322288513, + "learning_rate": 9.0990990990991e-05, + "loss": 2.4495, + "step": 5455 + }, + { + "epoch": 0.546, + "grad_norm": 0.7705250978469849, + "learning_rate": 9.08908908908909e-05, + "loss": 2.4522, + "step": 5460 + }, + { + "epoch": 0.5465, + "grad_norm": 0.825740396976471, + "learning_rate": 9.079079079079079e-05, + "loss": 2.4468, + "step": 5465 + }, + { + "epoch": 0.547, + "grad_norm": 0.7923555970191956, + "learning_rate": 9.069069069069069e-05, + "loss": 2.4565, + "step": 5470 + }, + { + "epoch": 0.5475, + "grad_norm": 0.7937232255935669, + "learning_rate": 9.059059059059059e-05, + "loss": 2.4544, + "step": 5475 + }, + { + "epoch": 0.548, + "grad_norm": 0.8358876705169678, + "learning_rate": 9.04904904904905e-05, + "loss": 2.4445, + "step": 5480 + }, + { + "epoch": 0.5485, + "grad_norm": 0.9014988541603088, + "learning_rate": 9.039039039039039e-05, + "loss": 2.4469, + "step": 5485 + }, + { + "epoch": 0.549, + "grad_norm": 0.7850622534751892, + "learning_rate": 9.029029029029029e-05, + "loss": 2.4463, + "step": 5490 + }, + { + "epoch": 0.5495, + "grad_norm": 0.8793150782585144, + "learning_rate": 9.019019019019019e-05, + "loss": 2.4799, + "step": 5495 + }, + { + "epoch": 0.55, + "grad_norm": 0.8214443325996399, + "learning_rate": 9.009009009009009e-05, + "loss": 2.4545, + "step": 5500 + }, + { + "epoch": 0.5505, + "grad_norm": 0.7656763195991516, + "learning_rate": 8.998998998998999e-05, + "loss": 2.4495, + "step": 5505 + }, + { + "epoch": 0.551, + "grad_norm": 0.7774412631988525, + "learning_rate": 8.988988988988989e-05, + "loss": 2.461, + "step": 5510 + }, + { + "epoch": 0.5515, + "grad_norm": 0.7601509690284729, + "learning_rate": 8.978978978978979e-05, + "loss": 2.4365, + "step": 5515 + }, + { + "epoch": 0.552, + "grad_norm": 0.7853091359138489, + "learning_rate": 8.968968968968969e-05, + "loss": 2.4625, + "step": 5520 + }, + { + "epoch": 0.5525, + "grad_norm": 0.7637262344360352, + "learning_rate": 8.958958958958959e-05, + "loss": 2.4445, + "step": 5525 + }, + { + "epoch": 0.553, + "grad_norm": 0.8261085152626038, + "learning_rate": 8.948948948948949e-05, + "loss": 2.4689, + "step": 5530 + }, + { + "epoch": 0.5535, + "grad_norm": 0.7731636762619019, + "learning_rate": 8.938938938938939e-05, + "loss": 2.4598, + "step": 5535 + }, + { + "epoch": 0.554, + "grad_norm": 0.7947583794593811, + "learning_rate": 8.928928928928929e-05, + "loss": 2.473, + "step": 5540 + }, + { + "epoch": 0.5545, + "grad_norm": 0.7763395309448242, + "learning_rate": 8.918918918918919e-05, + "loss": 2.4491, + "step": 5545 + }, + { + "epoch": 0.555, + "grad_norm": 0.8187987804412842, + "learning_rate": 8.908908908908909e-05, + "loss": 2.4502, + "step": 5550 + }, + { + "epoch": 0.5555, + "grad_norm": 0.8020109534263611, + "learning_rate": 8.898898898898899e-05, + "loss": 2.4639, + "step": 5555 + }, + { + "epoch": 0.556, + "grad_norm": 0.7664561867713928, + "learning_rate": 8.888888888888889e-05, + "loss": 2.4249, + "step": 5560 + }, + { + "epoch": 0.5565, + "grad_norm": 0.7538728713989258, + "learning_rate": 8.87887887887888e-05, + "loss": 2.4439, + "step": 5565 + }, + { + "epoch": 0.557, + "grad_norm": 0.810167670249939, + "learning_rate": 8.86886886886887e-05, + "loss": 2.4489, + "step": 5570 + }, + { + "epoch": 0.5575, + "grad_norm": 0.8242455720901489, + "learning_rate": 8.85885885885886e-05, + "loss": 2.4415, + "step": 5575 + }, + { + "epoch": 0.558, + "grad_norm": 0.7702010869979858, + "learning_rate": 8.84884884884885e-05, + "loss": 2.4674, + "step": 5580 + }, + { + "epoch": 0.5585, + "grad_norm": 0.7628993391990662, + "learning_rate": 8.83883883883884e-05, + "loss": 2.4254, + "step": 5585 + }, + { + "epoch": 0.559, + "grad_norm": 0.7824822664260864, + "learning_rate": 8.82882882882883e-05, + "loss": 2.4404, + "step": 5590 + }, + { + "epoch": 0.5595, + "grad_norm": 0.8106468915939331, + "learning_rate": 8.81881881881882e-05, + "loss": 2.4572, + "step": 5595 + }, + { + "epoch": 0.56, + "grad_norm": 0.7582213282585144, + "learning_rate": 8.80880880880881e-05, + "loss": 2.4542, + "step": 5600 + }, + { + "epoch": 0.5605, + "grad_norm": 0.7767332196235657, + "learning_rate": 8.7987987987988e-05, + "loss": 2.4386, + "step": 5605 + }, + { + "epoch": 0.561, + "grad_norm": 0.7707039713859558, + "learning_rate": 8.788788788788788e-05, + "loss": 2.4308, + "step": 5610 + }, + { + "epoch": 0.5615, + "grad_norm": 0.7898010611534119, + "learning_rate": 8.77877877877878e-05, + "loss": 2.4344, + "step": 5615 + }, + { + "epoch": 0.562, + "grad_norm": 0.8068522810935974, + "learning_rate": 8.76876876876877e-05, + "loss": 2.4329, + "step": 5620 + }, + { + "epoch": 0.5625, + "grad_norm": 0.8125194907188416, + "learning_rate": 8.75875875875876e-05, + "loss": 2.4276, + "step": 5625 + }, + { + "epoch": 0.563, + "grad_norm": 0.7750654816627502, + "learning_rate": 8.74874874874875e-05, + "loss": 2.4474, + "step": 5630 + }, + { + "epoch": 0.5635, + "grad_norm": 0.8232579827308655, + "learning_rate": 8.738738738738738e-05, + "loss": 2.4018, + "step": 5635 + }, + { + "epoch": 0.564, + "grad_norm": 0.7836376428604126, + "learning_rate": 8.72872872872873e-05, + "loss": 2.4534, + "step": 5640 + }, + { + "epoch": 0.5645, + "grad_norm": 0.7965866327285767, + "learning_rate": 8.71871871871872e-05, + "loss": 2.4079, + "step": 5645 + }, + { + "epoch": 0.565, + "grad_norm": 0.8080419898033142, + "learning_rate": 8.70870870870871e-05, + "loss": 2.4123, + "step": 5650 + }, + { + "epoch": 0.5655, + "grad_norm": 0.7705451250076294, + "learning_rate": 8.6986986986987e-05, + "loss": 2.4468, + "step": 5655 + }, + { + "epoch": 0.566, + "grad_norm": 0.8220493793487549, + "learning_rate": 8.688688688688688e-05, + "loss": 2.4524, + "step": 5660 + }, + { + "epoch": 0.5665, + "grad_norm": 0.7655929923057556, + "learning_rate": 8.678678678678678e-05, + "loss": 2.4532, + "step": 5665 + }, + { + "epoch": 0.567, + "grad_norm": 0.7849308848381042, + "learning_rate": 8.66866866866867e-05, + "loss": 2.4517, + "step": 5670 + }, + { + "epoch": 0.5675, + "grad_norm": 0.8112594485282898, + "learning_rate": 8.65865865865866e-05, + "loss": 2.4335, + "step": 5675 + }, + { + "epoch": 0.568, + "grad_norm": 0.7860171794891357, + "learning_rate": 8.64864864864865e-05, + "loss": 2.4271, + "step": 5680 + }, + { + "epoch": 0.5685, + "grad_norm": 0.7731909155845642, + "learning_rate": 8.638638638638638e-05, + "loss": 2.4513, + "step": 5685 + }, + { + "epoch": 0.569, + "grad_norm": 0.8540036082267761, + "learning_rate": 8.628628628628628e-05, + "loss": 2.4464, + "step": 5690 + }, + { + "epoch": 0.5695, + "grad_norm": 0.7871401309967041, + "learning_rate": 8.61861861861862e-05, + "loss": 2.4451, + "step": 5695 + }, + { + "epoch": 0.57, + "grad_norm": 0.7708069086074829, + "learning_rate": 8.60860860860861e-05, + "loss": 2.4273, + "step": 5700 + }, + { + "epoch": 0.5705, + "grad_norm": 0.7826456427574158, + "learning_rate": 8.5985985985986e-05, + "loss": 2.4468, + "step": 5705 + }, + { + "epoch": 0.571, + "grad_norm": 0.7948140501976013, + "learning_rate": 8.588588588588588e-05, + "loss": 2.4527, + "step": 5710 + }, + { + "epoch": 0.5715, + "grad_norm": 0.7906607985496521, + "learning_rate": 8.578578578578578e-05, + "loss": 2.4312, + "step": 5715 + }, + { + "epoch": 0.572, + "grad_norm": 0.7874037027359009, + "learning_rate": 8.568568568568568e-05, + "loss": 2.4424, + "step": 5720 + }, + { + "epoch": 0.5725, + "grad_norm": 0.8326743245124817, + "learning_rate": 8.55855855855856e-05, + "loss": 2.4364, + "step": 5725 + }, + { + "epoch": 0.573, + "grad_norm": 0.7984150052070618, + "learning_rate": 8.54854854854855e-05, + "loss": 2.4359, + "step": 5730 + }, + { + "epoch": 0.5735, + "grad_norm": 0.8510274291038513, + "learning_rate": 8.538538538538538e-05, + "loss": 2.4469, + "step": 5735 + }, + { + "epoch": 0.574, + "grad_norm": 0.8147960305213928, + "learning_rate": 8.528528528528528e-05, + "loss": 2.43, + "step": 5740 + }, + { + "epoch": 0.5745, + "grad_norm": 0.8313918709754944, + "learning_rate": 8.518518518518518e-05, + "loss": 2.4197, + "step": 5745 + }, + { + "epoch": 0.575, + "grad_norm": 0.778278648853302, + "learning_rate": 8.50850850850851e-05, + "loss": 2.4241, + "step": 5750 + }, + { + "epoch": 0.5755, + "grad_norm": 0.8418667316436768, + "learning_rate": 8.4984984984985e-05, + "loss": 2.44, + "step": 5755 + }, + { + "epoch": 0.576, + "grad_norm": 0.7860630750656128, + "learning_rate": 8.488488488488489e-05, + "loss": 2.4175, + "step": 5760 + }, + { + "epoch": 0.5765, + "grad_norm": 0.781186044216156, + "learning_rate": 8.478478478478479e-05, + "loss": 2.4332, + "step": 5765 + }, + { + "epoch": 0.577, + "grad_norm": 0.8223111629486084, + "learning_rate": 8.468468468468469e-05, + "loss": 2.4359, + "step": 5770 + }, + { + "epoch": 0.5775, + "grad_norm": 0.7901541590690613, + "learning_rate": 8.458458458458459e-05, + "loss": 2.4187, + "step": 5775 + }, + { + "epoch": 0.578, + "grad_norm": 0.8545305728912354, + "learning_rate": 8.44844844844845e-05, + "loss": 2.4166, + "step": 5780 + }, + { + "epoch": 0.5785, + "grad_norm": 0.8031194806098938, + "learning_rate": 8.438438438438439e-05, + "loss": 2.4197, + "step": 5785 + }, + { + "epoch": 0.579, + "grad_norm": 0.7738260626792908, + "learning_rate": 8.428428428428429e-05, + "loss": 2.4568, + "step": 5790 + }, + { + "epoch": 0.5795, + "grad_norm": 0.8410106897354126, + "learning_rate": 8.418418418418419e-05, + "loss": 2.4529, + "step": 5795 + }, + { + "epoch": 0.58, + "grad_norm": 0.7939754724502563, + "learning_rate": 8.408408408408409e-05, + "loss": 2.4223, + "step": 5800 + }, + { + "epoch": 0.5805, + "grad_norm": 0.7813926935195923, + "learning_rate": 8.398398398398399e-05, + "loss": 2.406, + "step": 5805 + }, + { + "epoch": 0.581, + "grad_norm": 0.8259416818618774, + "learning_rate": 8.388388388388389e-05, + "loss": 2.4459, + "step": 5810 + }, + { + "epoch": 0.5815, + "grad_norm": 0.7753074169158936, + "learning_rate": 8.378378378378379e-05, + "loss": 2.4232, + "step": 5815 + }, + { + "epoch": 0.582, + "grad_norm": 0.7894231677055359, + "learning_rate": 8.368368368368369e-05, + "loss": 2.4229, + "step": 5820 + }, + { + "epoch": 0.5825, + "grad_norm": 0.840605616569519, + "learning_rate": 8.358358358358359e-05, + "loss": 2.4376, + "step": 5825 + }, + { + "epoch": 0.583, + "grad_norm": 0.8139504194259644, + "learning_rate": 8.348348348348349e-05, + "loss": 2.4088, + "step": 5830 + }, + { + "epoch": 0.5835, + "grad_norm": 0.7772433757781982, + "learning_rate": 8.338338338338339e-05, + "loss": 2.4242, + "step": 5835 + }, + { + "epoch": 0.584, + "grad_norm": 0.7719807028770447, + "learning_rate": 8.328328328328329e-05, + "loss": 2.4608, + "step": 5840 + }, + { + "epoch": 0.5845, + "grad_norm": 0.7588045597076416, + "learning_rate": 8.318318318318319e-05, + "loss": 2.4191, + "step": 5845 + }, + { + "epoch": 0.585, + "grad_norm": 0.771289587020874, + "learning_rate": 8.308308308308309e-05, + "loss": 2.4441, + "step": 5850 + }, + { + "epoch": 0.5855, + "grad_norm": 0.7876021862030029, + "learning_rate": 8.298298298298299e-05, + "loss": 2.4436, + "step": 5855 + }, + { + "epoch": 0.586, + "grad_norm": 0.7994235754013062, + "learning_rate": 8.288288288288289e-05, + "loss": 2.419, + "step": 5860 + }, + { + "epoch": 0.5865, + "grad_norm": 0.7812893390655518, + "learning_rate": 8.278278278278279e-05, + "loss": 2.4374, + "step": 5865 + }, + { + "epoch": 0.587, + "grad_norm": 0.7883958220481873, + "learning_rate": 8.268268268268269e-05, + "loss": 2.4307, + "step": 5870 + }, + { + "epoch": 0.5875, + "grad_norm": 0.782835066318512, + "learning_rate": 8.258258258258259e-05, + "loss": 2.4087, + "step": 5875 + }, + { + "epoch": 0.588, + "grad_norm": 0.7668812870979309, + "learning_rate": 8.248248248248247e-05, + "loss": 2.4005, + "step": 5880 + }, + { + "epoch": 0.5885, + "grad_norm": 0.7992317080497742, + "learning_rate": 8.238238238238239e-05, + "loss": 2.4111, + "step": 5885 + }, + { + "epoch": 0.589, + "grad_norm": 0.7875285744667053, + "learning_rate": 8.228228228228229e-05, + "loss": 2.425, + "step": 5890 + }, + { + "epoch": 0.5895, + "grad_norm": 0.7984848022460938, + "learning_rate": 8.218218218218219e-05, + "loss": 2.4234, + "step": 5895 + }, + { + "epoch": 0.59, + "grad_norm": 0.810619592666626, + "learning_rate": 8.208208208208209e-05, + "loss": 2.4293, + "step": 5900 + }, + { + "epoch": 0.5905, + "grad_norm": 0.7930707335472107, + "learning_rate": 8.198198198198198e-05, + "loss": 2.4147, + "step": 5905 + }, + { + "epoch": 0.591, + "grad_norm": 0.7991019487380981, + "learning_rate": 8.188188188188189e-05, + "loss": 2.4097, + "step": 5910 + }, + { + "epoch": 0.5915, + "grad_norm": 0.8091179728507996, + "learning_rate": 8.178178178178179e-05, + "loss": 2.4195, + "step": 5915 + }, + { + "epoch": 0.592, + "grad_norm": 0.7663683295249939, + "learning_rate": 8.168168168168169e-05, + "loss": 2.4095, + "step": 5920 + }, + { + "epoch": 0.5925, + "grad_norm": 0.7600463628768921, + "learning_rate": 8.158158158158159e-05, + "loss": 2.4348, + "step": 5925 + }, + { + "epoch": 0.593, + "grad_norm": 0.91126549243927, + "learning_rate": 8.148148148148148e-05, + "loss": 2.4321, + "step": 5930 + }, + { + "epoch": 0.5935, + "grad_norm": 0.8510048985481262, + "learning_rate": 8.138138138138138e-05, + "loss": 2.4069, + "step": 5935 + }, + { + "epoch": 0.594, + "grad_norm": 0.7488054633140564, + "learning_rate": 8.128128128128129e-05, + "loss": 2.4197, + "step": 5940 + }, + { + "epoch": 0.5945, + "grad_norm": 0.8285728096961975, + "learning_rate": 8.118118118118119e-05, + "loss": 2.4277, + "step": 5945 + }, + { + "epoch": 0.595, + "grad_norm": 0.8015768527984619, + "learning_rate": 8.108108108108109e-05, + "loss": 2.4033, + "step": 5950 + }, + { + "epoch": 0.5955, + "grad_norm": 0.8446034789085388, + "learning_rate": 8.098098098098098e-05, + "loss": 2.4207, + "step": 5955 + }, + { + "epoch": 0.596, + "grad_norm": 0.8294364213943481, + "learning_rate": 8.088088088088088e-05, + "loss": 2.4484, + "step": 5960 + }, + { + "epoch": 0.5965, + "grad_norm": 0.7883287668228149, + "learning_rate": 8.078078078078079e-05, + "loss": 2.4104, + "step": 5965 + }, + { + "epoch": 0.597, + "grad_norm": 0.7896589040756226, + "learning_rate": 8.068068068068069e-05, + "loss": 2.425, + "step": 5970 + }, + { + "epoch": 0.5975, + "grad_norm": 0.7847106456756592, + "learning_rate": 8.058058058058059e-05, + "loss": 2.4173, + "step": 5975 + }, + { + "epoch": 0.598, + "grad_norm": 0.8176475763320923, + "learning_rate": 8.048048048048048e-05, + "loss": 2.4333, + "step": 5980 + }, + { + "epoch": 0.5985, + "grad_norm": 0.8108943104743958, + "learning_rate": 8.038038038038038e-05, + "loss": 2.4264, + "step": 5985 + }, + { + "epoch": 0.599, + "grad_norm": 0.8394784331321716, + "learning_rate": 8.028028028028028e-05, + "loss": 2.4001, + "step": 5990 + }, + { + "epoch": 0.5995, + "grad_norm": 0.8406071662902832, + "learning_rate": 8.018018018018019e-05, + "loss": 2.435, + "step": 5995 + }, + { + "epoch": 0.6, + "grad_norm": 0.9026022553443909, + "learning_rate": 8.008008008008009e-05, + "loss": 2.4271, + "step": 6000 + }, + { + "epoch": 0.6005, + "grad_norm": 0.8024097084999084, + "learning_rate": 7.997997997997998e-05, + "loss": 2.4278, + "step": 6005 + }, + { + "epoch": 0.601, + "grad_norm": 0.7905908823013306, + "learning_rate": 7.987987987987988e-05, + "loss": 2.4215, + "step": 6010 + }, + { + "epoch": 0.6015, + "grad_norm": 0.8006245493888855, + "learning_rate": 7.977977977977978e-05, + "loss": 2.4114, + "step": 6015 + }, + { + "epoch": 0.602, + "grad_norm": 0.8655180335044861, + "learning_rate": 7.967967967967969e-05, + "loss": 2.4196, + "step": 6020 + }, + { + "epoch": 0.6025, + "grad_norm": 0.8015463352203369, + "learning_rate": 7.957957957957959e-05, + "loss": 2.4352, + "step": 6025 + }, + { + "epoch": 0.603, + "grad_norm": 0.7995092272758484, + "learning_rate": 7.947947947947948e-05, + "loss": 2.4106, + "step": 6030 + }, + { + "epoch": 0.6035, + "grad_norm": 0.8037542104721069, + "learning_rate": 7.937937937937938e-05, + "loss": 2.4104, + "step": 6035 + }, + { + "epoch": 0.604, + "grad_norm": 0.8060451745986938, + "learning_rate": 7.927927927927928e-05, + "loss": 2.4313, + "step": 6040 + }, + { + "epoch": 0.6045, + "grad_norm": 0.8142174482345581, + "learning_rate": 7.917917917917918e-05, + "loss": 2.4307, + "step": 6045 + }, + { + "epoch": 0.605, + "grad_norm": 0.791358232498169, + "learning_rate": 7.90790790790791e-05, + "loss": 2.4212, + "step": 6050 + }, + { + "epoch": 0.6055, + "grad_norm": 0.8433311581611633, + "learning_rate": 7.897897897897898e-05, + "loss": 2.3925, + "step": 6055 + }, + { + "epoch": 0.606, + "grad_norm": 0.7595745325088501, + "learning_rate": 7.887887887887888e-05, + "loss": 2.3948, + "step": 6060 + }, + { + "epoch": 0.6065, + "grad_norm": 0.7723388075828552, + "learning_rate": 7.877877877877878e-05, + "loss": 2.4276, + "step": 6065 + }, + { + "epoch": 0.607, + "grad_norm": 0.8227433562278748, + "learning_rate": 7.867867867867868e-05, + "loss": 2.4065, + "step": 6070 + }, + { + "epoch": 0.6075, + "grad_norm": 0.8013408184051514, + "learning_rate": 7.85785785785786e-05, + "loss": 2.4273, + "step": 6075 + }, + { + "epoch": 0.608, + "grad_norm": 0.7976078391075134, + "learning_rate": 7.847847847847848e-05, + "loss": 2.4027, + "step": 6080 + }, + { + "epoch": 0.6085, + "grad_norm": 0.7952542901039124, + "learning_rate": 7.837837837837838e-05, + "loss": 2.3998, + "step": 6085 + }, + { + "epoch": 0.609, + "grad_norm": 0.8024086952209473, + "learning_rate": 7.827827827827828e-05, + "loss": 2.4051, + "step": 6090 + }, + { + "epoch": 0.6095, + "grad_norm": 0.9264689683914185, + "learning_rate": 7.817817817817818e-05, + "loss": 2.431, + "step": 6095 + }, + { + "epoch": 0.61, + "grad_norm": 0.7977313995361328, + "learning_rate": 7.807807807807808e-05, + "loss": 2.3998, + "step": 6100 + }, + { + "epoch": 0.6105, + "grad_norm": 0.8100118041038513, + "learning_rate": 7.797797797797798e-05, + "loss": 2.4272, + "step": 6105 + }, + { + "epoch": 0.611, + "grad_norm": 0.7686548829078674, + "learning_rate": 7.787787787787788e-05, + "loss": 2.4215, + "step": 6110 + }, + { + "epoch": 0.6115, + "grad_norm": 0.7883079051971436, + "learning_rate": 7.777777777777778e-05, + "loss": 2.4235, + "step": 6115 + }, + { + "epoch": 0.612, + "grad_norm": 0.7836454510688782, + "learning_rate": 7.767767767767768e-05, + "loss": 2.4161, + "step": 6120 + }, + { + "epoch": 0.6125, + "grad_norm": 0.7758154273033142, + "learning_rate": 7.757757757757758e-05, + "loss": 2.384, + "step": 6125 + }, + { + "epoch": 0.613, + "grad_norm": 0.8135970830917358, + "learning_rate": 7.747747747747748e-05, + "loss": 2.4148, + "step": 6130 + }, + { + "epoch": 0.6135, + "grad_norm": 0.8397132158279419, + "learning_rate": 7.737737737737738e-05, + "loss": 2.3973, + "step": 6135 + }, + { + "epoch": 0.614, + "grad_norm": 0.8081435561180115, + "learning_rate": 7.727727727727728e-05, + "loss": 2.4167, + "step": 6140 + }, + { + "epoch": 0.6145, + "grad_norm": 0.7891101837158203, + "learning_rate": 7.717717717717718e-05, + "loss": 2.3973, + "step": 6145 + }, + { + "epoch": 0.615, + "grad_norm": 0.793466329574585, + "learning_rate": 7.707707707707707e-05, + "loss": 2.4144, + "step": 6150 + }, + { + "epoch": 0.6155, + "grad_norm": 0.8238446712493896, + "learning_rate": 7.697697697697698e-05, + "loss": 2.403, + "step": 6155 + }, + { + "epoch": 0.616, + "grad_norm": 0.7987673282623291, + "learning_rate": 7.687687687687688e-05, + "loss": 2.4049, + "step": 6160 + }, + { + "epoch": 0.6165, + "grad_norm": 0.8488965630531311, + "learning_rate": 7.677677677677678e-05, + "loss": 2.4099, + "step": 6165 + }, + { + "epoch": 0.617, + "grad_norm": 0.7871595025062561, + "learning_rate": 7.667667667667668e-05, + "loss": 2.4306, + "step": 6170 + }, + { + "epoch": 0.6175, + "grad_norm": 0.7598607540130615, + "learning_rate": 7.657657657657657e-05, + "loss": 2.4022, + "step": 6175 + }, + { + "epoch": 0.618, + "grad_norm": 0.8631352186203003, + "learning_rate": 7.647647647647648e-05, + "loss": 2.4056, + "step": 6180 + }, + { + "epoch": 0.6185, + "grad_norm": 0.7995339035987854, + "learning_rate": 7.637637637637638e-05, + "loss": 2.4138, + "step": 6185 + }, + { + "epoch": 0.619, + "grad_norm": 0.7987746000289917, + "learning_rate": 7.627627627627628e-05, + "loss": 2.4078, + "step": 6190 + }, + { + "epoch": 0.6195, + "grad_norm": 0.7808003425598145, + "learning_rate": 7.617617617617618e-05, + "loss": 2.4012, + "step": 6195 + }, + { + "epoch": 0.62, + "grad_norm": 0.8006256222724915, + "learning_rate": 7.607607607607607e-05, + "loss": 2.3998, + "step": 6200 + }, + { + "epoch": 0.6205, + "grad_norm": 0.846108615398407, + "learning_rate": 7.597597597597597e-05, + "loss": 2.4268, + "step": 6205 + }, + { + "epoch": 0.621, + "grad_norm": 0.7796756029129028, + "learning_rate": 7.587587587587588e-05, + "loss": 2.4189, + "step": 6210 + }, + { + "epoch": 0.6215, + "grad_norm": 0.8724086284637451, + "learning_rate": 7.577577577577578e-05, + "loss": 2.4175, + "step": 6215 + }, + { + "epoch": 0.622, + "grad_norm": 0.8391619324684143, + "learning_rate": 7.567567567567568e-05, + "loss": 2.4017, + "step": 6220 + }, + { + "epoch": 0.6225, + "grad_norm": 0.8112910985946655, + "learning_rate": 7.557557557557557e-05, + "loss": 2.4015, + "step": 6225 + }, + { + "epoch": 0.623, + "grad_norm": 0.7913944721221924, + "learning_rate": 7.547547547547547e-05, + "loss": 2.4084, + "step": 6230 + }, + { + "epoch": 0.6235, + "grad_norm": 0.765633225440979, + "learning_rate": 7.537537537537538e-05, + "loss": 2.406, + "step": 6235 + }, + { + "epoch": 0.624, + "grad_norm": 0.8250996470451355, + "learning_rate": 7.527527527527528e-05, + "loss": 2.4235, + "step": 6240 + }, + { + "epoch": 0.6245, + "grad_norm": 0.8208925127983093, + "learning_rate": 7.517517517517519e-05, + "loss": 2.4228, + "step": 6245 + }, + { + "epoch": 0.625, + "grad_norm": 0.7971552014350891, + "learning_rate": 7.507507507507507e-05, + "loss": 2.4004, + "step": 6250 + }, + { + "epoch": 0.6255, + "grad_norm": 0.7985517978668213, + "learning_rate": 7.497497497497497e-05, + "loss": 2.3964, + "step": 6255 + }, + { + "epoch": 0.626, + "grad_norm": 0.8133323788642883, + "learning_rate": 7.487487487487487e-05, + "loss": 2.3983, + "step": 6260 + }, + { + "epoch": 0.6265, + "grad_norm": 0.8303823471069336, + "learning_rate": 7.477477477477479e-05, + "loss": 2.4052, + "step": 6265 + }, + { + "epoch": 0.627, + "grad_norm": 0.7818722724914551, + "learning_rate": 7.467467467467469e-05, + "loss": 2.3879, + "step": 6270 + }, + { + "epoch": 0.6275, + "grad_norm": 0.7834113836288452, + "learning_rate": 7.457457457457457e-05, + "loss": 2.3996, + "step": 6275 + }, + { + "epoch": 0.628, + "grad_norm": 0.857519805431366, + "learning_rate": 7.447447447447447e-05, + "loss": 2.3838, + "step": 6280 + }, + { + "epoch": 0.6285, + "grad_norm": 0.8000242710113525, + "learning_rate": 7.437437437437437e-05, + "loss": 2.4151, + "step": 6285 + }, + { + "epoch": 0.629, + "grad_norm": 0.780372142791748, + "learning_rate": 7.427427427427429e-05, + "loss": 2.3838, + "step": 6290 + }, + { + "epoch": 0.6295, + "grad_norm": 0.8650689721107483, + "learning_rate": 7.417417417417419e-05, + "loss": 2.4185, + "step": 6295 + }, + { + "epoch": 0.63, + "grad_norm": 0.8233420848846436, + "learning_rate": 7.407407407407407e-05, + "loss": 2.4164, + "step": 6300 + }, + { + "epoch": 0.6305, + "grad_norm": 0.7887721061706543, + "learning_rate": 7.397397397397397e-05, + "loss": 2.4061, + "step": 6305 + }, + { + "epoch": 0.631, + "grad_norm": 0.7893443703651428, + "learning_rate": 7.387387387387387e-05, + "loss": 2.4253, + "step": 6310 + }, + { + "epoch": 0.6315, + "grad_norm": 0.7930344939231873, + "learning_rate": 7.377377377377377e-05, + "loss": 2.4065, + "step": 6315 + }, + { + "epoch": 0.632, + "grad_norm": 0.7902653813362122, + "learning_rate": 7.367367367367369e-05, + "loss": 2.4017, + "step": 6320 + }, + { + "epoch": 0.6325, + "grad_norm": 0.7905397415161133, + "learning_rate": 7.357357357357357e-05, + "loss": 2.4077, + "step": 6325 + }, + { + "epoch": 0.633, + "grad_norm": 0.7757744789123535, + "learning_rate": 7.347347347347347e-05, + "loss": 2.3954, + "step": 6330 + }, + { + "epoch": 0.6335, + "grad_norm": 0.7905138731002808, + "learning_rate": 7.337337337337337e-05, + "loss": 2.3949, + "step": 6335 + }, + { + "epoch": 0.634, + "grad_norm": 0.7751962542533875, + "learning_rate": 7.327327327327327e-05, + "loss": 2.4121, + "step": 6340 + }, + { + "epoch": 0.6345, + "grad_norm": 0.7948694825172424, + "learning_rate": 7.317317317317319e-05, + "loss": 2.385, + "step": 6345 + }, + { + "epoch": 0.635, + "grad_norm": 0.8490158915519714, + "learning_rate": 7.307307307307307e-05, + "loss": 2.4051, + "step": 6350 + }, + { + "epoch": 0.6355, + "grad_norm": 0.7961251139640808, + "learning_rate": 7.297297297297297e-05, + "loss": 2.3849, + "step": 6355 + }, + { + "epoch": 0.636, + "grad_norm": 0.8053735494613647, + "learning_rate": 7.287287287287287e-05, + "loss": 2.4177, + "step": 6360 + }, + { + "epoch": 0.6365, + "grad_norm": 0.819907546043396, + "learning_rate": 7.277277277277277e-05, + "loss": 2.406, + "step": 6365 + }, + { + "epoch": 0.637, + "grad_norm": 0.7854018211364746, + "learning_rate": 7.267267267267268e-05, + "loss": 2.386, + "step": 6370 + }, + { + "epoch": 0.6375, + "grad_norm": 0.7699578404426575, + "learning_rate": 7.257257257257258e-05, + "loss": 2.398, + "step": 6375 + }, + { + "epoch": 0.638, + "grad_norm": 0.8161998391151428, + "learning_rate": 7.247247247247248e-05, + "loss": 2.4012, + "step": 6380 + }, + { + "epoch": 0.6385, + "grad_norm": 0.8244718313217163, + "learning_rate": 7.237237237237238e-05, + "loss": 2.3886, + "step": 6385 + }, + { + "epoch": 0.639, + "grad_norm": 0.7753651142120361, + "learning_rate": 7.227227227227228e-05, + "loss": 2.4174, + "step": 6390 + }, + { + "epoch": 0.6395, + "grad_norm": 0.7991912961006165, + "learning_rate": 7.217217217217218e-05, + "loss": 2.3901, + "step": 6395 + }, + { + "epoch": 0.64, + "grad_norm": 0.8403205871582031, + "learning_rate": 7.207207207207208e-05, + "loss": 2.4054, + "step": 6400 + }, + { + "epoch": 0.6405, + "grad_norm": 0.7843438982963562, + "learning_rate": 7.197197197197198e-05, + "loss": 2.3861, + "step": 6405 + }, + { + "epoch": 0.641, + "grad_norm": 0.7796940207481384, + "learning_rate": 7.187187187187188e-05, + "loss": 2.3997, + "step": 6410 + }, + { + "epoch": 0.6415, + "grad_norm": 0.7885047197341919, + "learning_rate": 7.177177177177178e-05, + "loss": 2.3816, + "step": 6415 + }, + { + "epoch": 0.642, + "grad_norm": 0.861638605594635, + "learning_rate": 7.167167167167166e-05, + "loss": 2.3842, + "step": 6420 + }, + { + "epoch": 0.6425, + "grad_norm": 0.7908929586410522, + "learning_rate": 7.157157157157158e-05, + "loss": 2.3871, + "step": 6425 + }, + { + "epoch": 0.643, + "grad_norm": 0.811220645904541, + "learning_rate": 7.147147147147148e-05, + "loss": 2.3836, + "step": 6430 + }, + { + "epoch": 0.6435, + "grad_norm": 0.8271155953407288, + "learning_rate": 7.137137137137138e-05, + "loss": 2.421, + "step": 6435 + }, + { + "epoch": 0.644, + "grad_norm": 0.76975017786026, + "learning_rate": 7.127127127127128e-05, + "loss": 2.4102, + "step": 6440 + }, + { + "epoch": 0.6445, + "grad_norm": 0.8396703004837036, + "learning_rate": 7.117117117117116e-05, + "loss": 2.3815, + "step": 6445 + }, + { + "epoch": 0.645, + "grad_norm": 0.9385436773300171, + "learning_rate": 7.107107107107108e-05, + "loss": 2.4079, + "step": 6450 + }, + { + "epoch": 0.6455, + "grad_norm": 0.7908446192741394, + "learning_rate": 7.097097097097098e-05, + "loss": 2.4033, + "step": 6455 + }, + { + "epoch": 0.646, + "grad_norm": 0.7973217368125916, + "learning_rate": 7.087087087087088e-05, + "loss": 2.3928, + "step": 6460 + }, + { + "epoch": 0.6465, + "grad_norm": 0.789564311504364, + "learning_rate": 7.077077077077078e-05, + "loss": 2.3913, + "step": 6465 + }, + { + "epoch": 0.647, + "grad_norm": 0.822909951210022, + "learning_rate": 7.067067067067066e-05, + "loss": 2.4108, + "step": 6470 + }, + { + "epoch": 0.6475, + "grad_norm": 0.8042473196983337, + "learning_rate": 7.057057057057056e-05, + "loss": 2.3953, + "step": 6475 + }, + { + "epoch": 0.648, + "grad_norm": 0.8470174670219421, + "learning_rate": 7.047047047047048e-05, + "loss": 2.3844, + "step": 6480 + }, + { + "epoch": 0.6485, + "grad_norm": 0.8247309923171997, + "learning_rate": 7.037037037037038e-05, + "loss": 2.4239, + "step": 6485 + }, + { + "epoch": 0.649, + "grad_norm": 0.8267856240272522, + "learning_rate": 7.027027027027028e-05, + "loss": 2.3997, + "step": 6490 + }, + { + "epoch": 0.6495, + "grad_norm": 0.7668282985687256, + "learning_rate": 7.017017017017016e-05, + "loss": 2.4032, + "step": 6495 + }, + { + "epoch": 0.65, + "grad_norm": 0.8035463094711304, + "learning_rate": 7.007007007007007e-05, + "loss": 2.3905, + "step": 6500 + }, + { + "epoch": 0.6505, + "grad_norm": 0.7903201580047607, + "learning_rate": 6.996996996996998e-05, + "loss": 2.3934, + "step": 6505 + }, + { + "epoch": 0.651, + "grad_norm": 0.8082432150840759, + "learning_rate": 6.986986986986988e-05, + "loss": 2.3888, + "step": 6510 + }, + { + "epoch": 0.6515, + "grad_norm": 0.7989760637283325, + "learning_rate": 6.976976976976978e-05, + "loss": 2.4032, + "step": 6515 + }, + { + "epoch": 0.652, + "grad_norm": 0.7746159434318542, + "learning_rate": 6.966966966966967e-05, + "loss": 2.375, + "step": 6520 + }, + { + "epoch": 0.6525, + "grad_norm": 0.7914102673530579, + "learning_rate": 6.956956956956957e-05, + "loss": 2.3899, + "step": 6525 + }, + { + "epoch": 0.653, + "grad_norm": 0.7977505922317505, + "learning_rate": 6.946946946946947e-05, + "loss": 2.3844, + "step": 6530 + }, + { + "epoch": 0.6535, + "grad_norm": 0.7890195846557617, + "learning_rate": 6.936936936936938e-05, + "loss": 2.4019, + "step": 6535 + }, + { + "epoch": 0.654, + "grad_norm": 0.8067911267280579, + "learning_rate": 6.926926926926928e-05, + "loss": 2.3693, + "step": 6540 + }, + { + "epoch": 0.6545, + "grad_norm": 0.8240167498588562, + "learning_rate": 6.916916916916917e-05, + "loss": 2.392, + "step": 6545 + }, + { + "epoch": 0.655, + "grad_norm": 0.8075880408287048, + "learning_rate": 6.906906906906907e-05, + "loss": 2.386, + "step": 6550 + }, + { + "epoch": 0.6555, + "grad_norm": 0.7833337187767029, + "learning_rate": 6.896896896896897e-05, + "loss": 2.4056, + "step": 6555 + }, + { + "epoch": 0.656, + "grad_norm": 0.7844520211219788, + "learning_rate": 6.886886886886888e-05, + "loss": 2.388, + "step": 6560 + }, + { + "epoch": 0.6565, + "grad_norm": 0.8572016954421997, + "learning_rate": 6.876876876876878e-05, + "loss": 2.4083, + "step": 6565 + }, + { + "epoch": 0.657, + "grad_norm": 0.7906028032302856, + "learning_rate": 6.866866866866867e-05, + "loss": 2.3917, + "step": 6570 + }, + { + "epoch": 0.6575, + "grad_norm": 0.802037239074707, + "learning_rate": 6.856856856856857e-05, + "loss": 2.4229, + "step": 6575 + }, + { + "epoch": 0.658, + "grad_norm": 0.8108525276184082, + "learning_rate": 6.846846846846847e-05, + "loss": 2.3852, + "step": 6580 + }, + { + "epoch": 0.6585, + "grad_norm": 0.8359381556510925, + "learning_rate": 6.836836836836837e-05, + "loss": 2.4062, + "step": 6585 + }, + { + "epoch": 0.659, + "grad_norm": 0.8545534014701843, + "learning_rate": 6.826826826826828e-05, + "loss": 2.3873, + "step": 6590 + }, + { + "epoch": 0.6595, + "grad_norm": 0.8026583194732666, + "learning_rate": 6.816816816816817e-05, + "loss": 2.389, + "step": 6595 + }, + { + "epoch": 0.66, + "grad_norm": 0.7658330798149109, + "learning_rate": 6.806806806806807e-05, + "loss": 2.3863, + "step": 6600 + }, + { + "epoch": 0.6605, + "grad_norm": 0.7946294546127319, + "learning_rate": 6.796796796796797e-05, + "loss": 2.3827, + "step": 6605 + }, + { + "epoch": 0.661, + "grad_norm": 0.8445372581481934, + "learning_rate": 6.786786786786787e-05, + "loss": 2.3818, + "step": 6610 + }, + { + "epoch": 0.6615, + "grad_norm": 0.7817666530609131, + "learning_rate": 6.776776776776778e-05, + "loss": 2.3779, + "step": 6615 + }, + { + "epoch": 0.662, + "grad_norm": 0.803107500076294, + "learning_rate": 6.766766766766767e-05, + "loss": 2.3962, + "step": 6620 + }, + { + "epoch": 0.6625, + "grad_norm": 0.8931746482849121, + "learning_rate": 6.756756756756757e-05, + "loss": 2.3628, + "step": 6625 + }, + { + "epoch": 0.663, + "grad_norm": 0.8346350193023682, + "learning_rate": 6.746746746746747e-05, + "loss": 2.3931, + "step": 6630 + }, + { + "epoch": 0.6635, + "grad_norm": 0.7959952354431152, + "learning_rate": 6.736736736736737e-05, + "loss": 2.3881, + "step": 6635 + }, + { + "epoch": 0.664, + "grad_norm": 0.7849836349487305, + "learning_rate": 6.726726726726727e-05, + "loss": 2.366, + "step": 6640 + }, + { + "epoch": 0.6645, + "grad_norm": 0.8243876099586487, + "learning_rate": 6.716716716716717e-05, + "loss": 2.4016, + "step": 6645 + }, + { + "epoch": 0.665, + "grad_norm": 0.7896625399589539, + "learning_rate": 6.706706706706707e-05, + "loss": 2.4097, + "step": 6650 + }, + { + "epoch": 0.6655, + "grad_norm": 0.7979716658592224, + "learning_rate": 6.696696696696697e-05, + "loss": 2.3869, + "step": 6655 + }, + { + "epoch": 0.666, + "grad_norm": 0.8322969079017639, + "learning_rate": 6.686686686686687e-05, + "loss": 2.3922, + "step": 6660 + }, + { + "epoch": 0.6665, + "grad_norm": 0.791321337223053, + "learning_rate": 6.676676676676677e-05, + "loss": 2.3664, + "step": 6665 + }, + { + "epoch": 0.667, + "grad_norm": 0.7899481654167175, + "learning_rate": 6.666666666666667e-05, + "loss": 2.3971, + "step": 6670 + }, + { + "epoch": 0.6675, + "grad_norm": 0.8165993690490723, + "learning_rate": 6.656656656656657e-05, + "loss": 2.3891, + "step": 6675 + }, + { + "epoch": 0.668, + "grad_norm": 0.8781505227088928, + "learning_rate": 6.646646646646647e-05, + "loss": 2.3837, + "step": 6680 + }, + { + "epoch": 0.6685, + "grad_norm": 0.8235121965408325, + "learning_rate": 6.636636636636637e-05, + "loss": 2.3965, + "step": 6685 + }, + { + "epoch": 0.669, + "grad_norm": 0.8322201371192932, + "learning_rate": 6.626626626626627e-05, + "loss": 2.3918, + "step": 6690 + }, + { + "epoch": 0.6695, + "grad_norm": 0.7922030091285706, + "learning_rate": 6.616616616616617e-05, + "loss": 2.3822, + "step": 6695 + }, + { + "epoch": 0.67, + "grad_norm": 0.8057646155357361, + "learning_rate": 6.606606606606607e-05, + "loss": 2.4046, + "step": 6700 + }, + { + "epoch": 0.6705, + "grad_norm": 0.7984603643417358, + "learning_rate": 6.596596596596597e-05, + "loss": 2.3881, + "step": 6705 + }, + { + "epoch": 0.671, + "grad_norm": 0.8076169490814209, + "learning_rate": 6.586586586586587e-05, + "loss": 2.394, + "step": 6710 + }, + { + "epoch": 0.6715, + "grad_norm": 0.8120995163917542, + "learning_rate": 6.576576576576577e-05, + "loss": 2.3725, + "step": 6715 + }, + { + "epoch": 0.672, + "grad_norm": 0.8239960670471191, + "learning_rate": 6.566566566566567e-05, + "loss": 2.3895, + "step": 6720 + }, + { + "epoch": 0.6725, + "grad_norm": 0.8266900777816772, + "learning_rate": 6.556556556556557e-05, + "loss": 2.3901, + "step": 6725 + }, + { + "epoch": 0.673, + "grad_norm": 0.8476052284240723, + "learning_rate": 6.546546546546547e-05, + "loss": 2.3951, + "step": 6730 + }, + { + "epoch": 0.6735, + "grad_norm": 0.8398421406745911, + "learning_rate": 6.536536536536537e-05, + "loss": 2.3687, + "step": 6735 + }, + { + "epoch": 0.674, + "grad_norm": 0.8095033764839172, + "learning_rate": 6.526526526526526e-05, + "loss": 2.3898, + "step": 6740 + }, + { + "epoch": 0.6745, + "grad_norm": 0.8121087551116943, + "learning_rate": 6.516516516516516e-05, + "loss": 2.3846, + "step": 6745 + }, + { + "epoch": 0.675, + "grad_norm": 0.8165614604949951, + "learning_rate": 6.506506506506507e-05, + "loss": 2.3672, + "step": 6750 + }, + { + "epoch": 0.6755, + "grad_norm": 0.7994385361671448, + "learning_rate": 6.496496496496497e-05, + "loss": 2.3918, + "step": 6755 + }, + { + "epoch": 0.676, + "grad_norm": 0.7793731093406677, + "learning_rate": 6.486486486486487e-05, + "loss": 2.3742, + "step": 6760 + }, + { + "epoch": 0.6765, + "grad_norm": 0.8018571734428406, + "learning_rate": 6.476476476476476e-05, + "loss": 2.3878, + "step": 6765 + }, + { + "epoch": 0.677, + "grad_norm": 0.780410647392273, + "learning_rate": 6.466466466466466e-05, + "loss": 2.3851, + "step": 6770 + }, + { + "epoch": 0.6775, + "grad_norm": 0.8321567177772522, + "learning_rate": 6.456456456456457e-05, + "loss": 2.3919, + "step": 6775 + }, + { + "epoch": 0.678, + "grad_norm": 0.8763487935066223, + "learning_rate": 6.446446446446447e-05, + "loss": 2.3742, + "step": 6780 + }, + { + "epoch": 0.6785, + "grad_norm": 0.8359047174453735, + "learning_rate": 6.436436436436437e-05, + "loss": 2.3855, + "step": 6785 + }, + { + "epoch": 0.679, + "grad_norm": 0.9007706046104431, + "learning_rate": 6.426426426426426e-05, + "loss": 2.3771, + "step": 6790 + }, + { + "epoch": 0.6795, + "grad_norm": 0.9482093453407288, + "learning_rate": 6.416416416416416e-05, + "loss": 2.3943, + "step": 6795 + }, + { + "epoch": 0.68, + "grad_norm": 0.8471071124076843, + "learning_rate": 6.406406406406406e-05, + "loss": 2.4029, + "step": 6800 + }, + { + "epoch": 0.6805, + "grad_norm": 0.7937386631965637, + "learning_rate": 6.396396396396397e-05, + "loss": 2.3944, + "step": 6805 + }, + { + "epoch": 0.681, + "grad_norm": 0.8067902326583862, + "learning_rate": 6.386386386386387e-05, + "loss": 2.3953, + "step": 6810 + }, + { + "epoch": 0.6815, + "grad_norm": 0.7922859787940979, + "learning_rate": 6.376376376376376e-05, + "loss": 2.391, + "step": 6815 + }, + { + "epoch": 0.682, + "grad_norm": 0.8054628968238831, + "learning_rate": 6.366366366366366e-05, + "loss": 2.3825, + "step": 6820 + }, + { + "epoch": 0.6825, + "grad_norm": 0.8414512872695923, + "learning_rate": 6.356356356356356e-05, + "loss": 2.3758, + "step": 6825 + }, + { + "epoch": 0.683, + "grad_norm": 0.7730977535247803, + "learning_rate": 6.346346346346347e-05, + "loss": 2.3916, + "step": 6830 + }, + { + "epoch": 0.6835, + "grad_norm": 0.8458556532859802, + "learning_rate": 6.336336336336337e-05, + "loss": 2.3863, + "step": 6835 + }, + { + "epoch": 0.684, + "grad_norm": 0.7820555567741394, + "learning_rate": 6.326326326326326e-05, + "loss": 2.3712, + "step": 6840 + }, + { + "epoch": 0.6845, + "grad_norm": 0.7969538569450378, + "learning_rate": 6.316316316316316e-05, + "loss": 2.3888, + "step": 6845 + }, + { + "epoch": 0.685, + "grad_norm": 0.862758994102478, + "learning_rate": 6.306306306306306e-05, + "loss": 2.3901, + "step": 6850 + }, + { + "epoch": 0.6855, + "grad_norm": 0.8746228814125061, + "learning_rate": 6.296296296296296e-05, + "loss": 2.3993, + "step": 6855 + }, + { + "epoch": 0.686, + "grad_norm": 0.8406643271446228, + "learning_rate": 6.286286286286288e-05, + "loss": 2.3831, + "step": 6860 + }, + { + "epoch": 0.6865, + "grad_norm": 0.8201842308044434, + "learning_rate": 6.276276276276276e-05, + "loss": 2.382, + "step": 6865 + }, + { + "epoch": 0.687, + "grad_norm": 0.8067729473114014, + "learning_rate": 6.266266266266266e-05, + "loss": 2.3728, + "step": 6870 + }, + { + "epoch": 0.6875, + "grad_norm": 0.8983192443847656, + "learning_rate": 6.256256256256256e-05, + "loss": 2.3881, + "step": 6875 + }, + { + "epoch": 0.688, + "grad_norm": 0.9659560918807983, + "learning_rate": 6.246246246246246e-05, + "loss": 2.389, + "step": 6880 + }, + { + "epoch": 0.6885, + "grad_norm": 0.8363260626792908, + "learning_rate": 6.236236236236238e-05, + "loss": 2.3664, + "step": 6885 + }, + { + "epoch": 0.689, + "grad_norm": 0.8459045886993408, + "learning_rate": 6.226226226226226e-05, + "loss": 2.3857, + "step": 6890 + }, + { + "epoch": 0.6895, + "grad_norm": 0.8440020680427551, + "learning_rate": 6.216216216216216e-05, + "loss": 2.3642, + "step": 6895 + }, + { + "epoch": 0.69, + "grad_norm": 0.8255513906478882, + "learning_rate": 6.206206206206206e-05, + "loss": 2.3844, + "step": 6900 + }, + { + "epoch": 0.6905, + "grad_norm": 0.7914440631866455, + "learning_rate": 6.196196196196196e-05, + "loss": 2.3754, + "step": 6905 + }, + { + "epoch": 0.691, + "grad_norm": 0.832038164138794, + "learning_rate": 6.186186186186186e-05, + "loss": 2.3786, + "step": 6910 + }, + { + "epoch": 0.6915, + "grad_norm": 0.8137945532798767, + "learning_rate": 6.176176176176176e-05, + "loss": 2.3672, + "step": 6915 + }, + { + "epoch": 0.692, + "grad_norm": 0.7861709594726562, + "learning_rate": 6.166166166166166e-05, + "loss": 2.3816, + "step": 6920 + }, + { + "epoch": 0.6925, + "grad_norm": 0.8148735165596008, + "learning_rate": 6.156156156156156e-05, + "loss": 2.4103, + "step": 6925 + }, + { + "epoch": 0.693, + "grad_norm": 0.8730798959732056, + "learning_rate": 6.146146146146146e-05, + "loss": 2.3654, + "step": 6930 + }, + { + "epoch": 0.6935, + "grad_norm": 0.848082959651947, + "learning_rate": 6.136136136136136e-05, + "loss": 2.3925, + "step": 6935 + }, + { + "epoch": 0.694, + "grad_norm": 0.7952349185943604, + "learning_rate": 6.126126126126126e-05, + "loss": 2.3652, + "step": 6940 + }, + { + "epoch": 0.6945, + "grad_norm": 0.8390651345252991, + "learning_rate": 6.116116116116116e-05, + "loss": 2.3919, + "step": 6945 + }, + { + "epoch": 0.695, + "grad_norm": 0.8806639909744263, + "learning_rate": 6.106106106106106e-05, + "loss": 2.3805, + "step": 6950 + }, + { + "epoch": 0.6955, + "grad_norm": 0.7894412279129028, + "learning_rate": 6.0960960960960964e-05, + "loss": 2.4064, + "step": 6955 + }, + { + "epoch": 0.696, + "grad_norm": 0.7991839051246643, + "learning_rate": 6.086086086086087e-05, + "loss": 2.376, + "step": 6960 + }, + { + "epoch": 0.6965, + "grad_norm": 0.8137059807777405, + "learning_rate": 6.076076076076076e-05, + "loss": 2.3747, + "step": 6965 + }, + { + "epoch": 0.697, + "grad_norm": 0.8530757427215576, + "learning_rate": 6.0660660660660665e-05, + "loss": 2.3922, + "step": 6970 + }, + { + "epoch": 0.6975, + "grad_norm": 0.8087310791015625, + "learning_rate": 6.0560560560560565e-05, + "loss": 2.3654, + "step": 6975 + }, + { + "epoch": 0.698, + "grad_norm": 0.8027787208557129, + "learning_rate": 6.0460460460460465e-05, + "loss": 2.3812, + "step": 6980 + }, + { + "epoch": 0.6985, + "grad_norm": 0.8009427189826965, + "learning_rate": 6.0360360360360365e-05, + "loss": 2.3796, + "step": 6985 + }, + { + "epoch": 0.699, + "grad_norm": 0.8391687870025635, + "learning_rate": 6.026026026026026e-05, + "loss": 2.3901, + "step": 6990 + }, + { + "epoch": 0.6995, + "grad_norm": 0.783051609992981, + "learning_rate": 6.016016016016016e-05, + "loss": 2.351, + "step": 6995 + }, + { + "epoch": 0.7, + "grad_norm": 0.8066600561141968, + "learning_rate": 6.0060060060060066e-05, + "loss": 2.3802, + "step": 7000 + }, + { + "epoch": 0.7005, + "grad_norm": 0.8261300921440125, + "learning_rate": 5.9959959959959966e-05, + "loss": 2.3914, + "step": 7005 + }, + { + "epoch": 0.701, + "grad_norm": 0.7957533001899719, + "learning_rate": 5.9859859859859866e-05, + "loss": 2.3762, + "step": 7010 + }, + { + "epoch": 0.7015, + "grad_norm": 0.7757399678230286, + "learning_rate": 5.975975975975976e-05, + "loss": 2.3712, + "step": 7015 + }, + { + "epoch": 0.702, + "grad_norm": 0.8133918046951294, + "learning_rate": 5.965965965965966e-05, + "loss": 2.3628, + "step": 7020 + }, + { + "epoch": 0.7025, + "grad_norm": 0.7873533368110657, + "learning_rate": 5.9559559559559566e-05, + "loss": 2.3541, + "step": 7025 + }, + { + "epoch": 0.703, + "grad_norm": 0.8112744092941284, + "learning_rate": 5.9459459459459466e-05, + "loss": 2.3609, + "step": 7030 + }, + { + "epoch": 0.7035, + "grad_norm": 0.8749020099639893, + "learning_rate": 5.935935935935936e-05, + "loss": 2.3789, + "step": 7035 + }, + { + "epoch": 0.704, + "grad_norm": 0.8450562357902527, + "learning_rate": 5.925925925925926e-05, + "loss": 2.3759, + "step": 7040 + }, + { + "epoch": 0.7045, + "grad_norm": 0.8273308277130127, + "learning_rate": 5.915915915915916e-05, + "loss": 2.3894, + "step": 7045 + }, + { + "epoch": 0.705, + "grad_norm": 0.8608307838439941, + "learning_rate": 5.905905905905906e-05, + "loss": 2.3819, + "step": 7050 + }, + { + "epoch": 0.7055, + "grad_norm": 0.81144779920578, + "learning_rate": 5.895895895895897e-05, + "loss": 2.3718, + "step": 7055 + }, + { + "epoch": 0.706, + "grad_norm": 0.8147798180580139, + "learning_rate": 5.8858858858858854e-05, + "loss": 2.3731, + "step": 7060 + }, + { + "epoch": 0.7065, + "grad_norm": 0.8627402186393738, + "learning_rate": 5.875875875875876e-05, + "loss": 2.3543, + "step": 7065 + }, + { + "epoch": 0.707, + "grad_norm": 0.7978000044822693, + "learning_rate": 5.865865865865866e-05, + "loss": 2.3806, + "step": 7070 + }, + { + "epoch": 0.7075, + "grad_norm": 0.8095467686653137, + "learning_rate": 5.855855855855856e-05, + "loss": 2.3886, + "step": 7075 + }, + { + "epoch": 0.708, + "grad_norm": 0.7899516820907593, + "learning_rate": 5.845845845845847e-05, + "loss": 2.353, + "step": 7080 + }, + { + "epoch": 0.7085, + "grad_norm": 0.7910207509994507, + "learning_rate": 5.8358358358358354e-05, + "loss": 2.376, + "step": 7085 + }, + { + "epoch": 0.709, + "grad_norm": 0.7842855453491211, + "learning_rate": 5.825825825825826e-05, + "loss": 2.3705, + "step": 7090 + }, + { + "epoch": 0.7095, + "grad_norm": 0.7983612418174744, + "learning_rate": 5.815815815815816e-05, + "loss": 2.3711, + "step": 7095 + }, + { + "epoch": 0.71, + "grad_norm": 0.8135548830032349, + "learning_rate": 5.805805805805806e-05, + "loss": 2.3915, + "step": 7100 + }, + { + "epoch": 0.7105, + "grad_norm": 0.824687659740448, + "learning_rate": 5.795795795795796e-05, + "loss": 2.3634, + "step": 7105 + }, + { + "epoch": 0.711, + "grad_norm": 0.8016681671142578, + "learning_rate": 5.7857857857857855e-05, + "loss": 2.3656, + "step": 7110 + }, + { + "epoch": 0.7115, + "grad_norm": 0.8466838002204895, + "learning_rate": 5.7757757757757755e-05, + "loss": 2.3601, + "step": 7115 + }, + { + "epoch": 0.712, + "grad_norm": 0.8030304908752441, + "learning_rate": 5.765765765765766e-05, + "loss": 2.369, + "step": 7120 + }, + { + "epoch": 0.7125, + "grad_norm": 0.7801939249038696, + "learning_rate": 5.755755755755756e-05, + "loss": 2.3457, + "step": 7125 + }, + { + "epoch": 0.713, + "grad_norm": 0.8262499570846558, + "learning_rate": 5.745745745745746e-05, + "loss": 2.3802, + "step": 7130 + }, + { + "epoch": 0.7135, + "grad_norm": 0.8150855302810669, + "learning_rate": 5.7357357357357356e-05, + "loss": 2.3639, + "step": 7135 + }, + { + "epoch": 0.714, + "grad_norm": 0.8202646970748901, + "learning_rate": 5.7257257257257256e-05, + "loss": 2.3669, + "step": 7140 + }, + { + "epoch": 0.7145, + "grad_norm": 0.8026723265647888, + "learning_rate": 5.715715715715716e-05, + "loss": 2.3811, + "step": 7145 + }, + { + "epoch": 0.715, + "grad_norm": 0.8347824215888977, + "learning_rate": 5.705705705705706e-05, + "loss": 2.4039, + "step": 7150 + }, + { + "epoch": 0.7155, + "grad_norm": 0.8026264309883118, + "learning_rate": 5.695695695695696e-05, + "loss": 2.3531, + "step": 7155 + }, + { + "epoch": 0.716, + "grad_norm": 0.8455007076263428, + "learning_rate": 5.6856856856856856e-05, + "loss": 2.3756, + "step": 7160 + }, + { + "epoch": 0.7165, + "grad_norm": 0.771700918674469, + "learning_rate": 5.6756756756756757e-05, + "loss": 2.3862, + "step": 7165 + }, + { + "epoch": 0.717, + "grad_norm": 0.8043254017829895, + "learning_rate": 5.665665665665666e-05, + "loss": 2.3787, + "step": 7170 + }, + { + "epoch": 0.7175, + "grad_norm": 0.7972248792648315, + "learning_rate": 5.6556556556556564e-05, + "loss": 2.3447, + "step": 7175 + }, + { + "epoch": 0.718, + "grad_norm": 0.8100689053535461, + "learning_rate": 5.6456456456456464e-05, + "loss": 2.3429, + "step": 7180 + }, + { + "epoch": 0.7185, + "grad_norm": 0.8367940187454224, + "learning_rate": 5.635635635635636e-05, + "loss": 2.3852, + "step": 7185 + }, + { + "epoch": 0.719, + "grad_norm": 0.8084604144096375, + "learning_rate": 5.625625625625626e-05, + "loss": 2.3581, + "step": 7190 + }, + { + "epoch": 0.7195, + "grad_norm": 0.8251677751541138, + "learning_rate": 5.615615615615616e-05, + "loss": 2.3576, + "step": 7195 + }, + { + "epoch": 0.72, + "grad_norm": 0.8056468963623047, + "learning_rate": 5.6056056056056064e-05, + "loss": 2.3879, + "step": 7200 + }, + { + "epoch": 0.7205, + "grad_norm": 0.7862322926521301, + "learning_rate": 5.5955955955955964e-05, + "loss": 2.3749, + "step": 7205 + }, + { + "epoch": 0.721, + "grad_norm": 0.8112216591835022, + "learning_rate": 5.585585585585585e-05, + "loss": 2.3583, + "step": 7210 + }, + { + "epoch": 0.7215, + "grad_norm": 0.8866540789604187, + "learning_rate": 5.575575575575576e-05, + "loss": 2.3877, + "step": 7215 + }, + { + "epoch": 0.722, + "grad_norm": 0.8252007365226746, + "learning_rate": 5.565565565565566e-05, + "loss": 2.3675, + "step": 7220 + }, + { + "epoch": 0.7225, + "grad_norm": 0.8246432542800903, + "learning_rate": 5.555555555555556e-05, + "loss": 2.3786, + "step": 7225 + }, + { + "epoch": 0.723, + "grad_norm": 0.843048632144928, + "learning_rate": 5.5455455455455465e-05, + "loss": 2.3612, + "step": 7230 + }, + { + "epoch": 0.7235, + "grad_norm": 0.7862938046455383, + "learning_rate": 5.535535535535535e-05, + "loss": 2.3706, + "step": 7235 + }, + { + "epoch": 0.724, + "grad_norm": 0.8511613607406616, + "learning_rate": 5.525525525525526e-05, + "loss": 2.3774, + "step": 7240 + }, + { + "epoch": 0.7245, + "grad_norm": 0.858098030090332, + "learning_rate": 5.515515515515516e-05, + "loss": 2.3644, + "step": 7245 + }, + { + "epoch": 0.725, + "grad_norm": 0.8149218559265137, + "learning_rate": 5.505505505505506e-05, + "loss": 2.3957, + "step": 7250 + }, + { + "epoch": 0.7255, + "grad_norm": 0.8075857758522034, + "learning_rate": 5.4954954954954966e-05, + "loss": 2.3941, + "step": 7255 + }, + { + "epoch": 0.726, + "grad_norm": 0.9962955117225647, + "learning_rate": 5.485485485485485e-05, + "loss": 2.3687, + "step": 7260 + }, + { + "epoch": 0.7265, + "grad_norm": 0.7864262461662292, + "learning_rate": 5.475475475475475e-05, + "loss": 2.3617, + "step": 7265 + }, + { + "epoch": 0.727, + "grad_norm": 0.8471370339393616, + "learning_rate": 5.465465465465466e-05, + "loss": 2.3765, + "step": 7270 + }, + { + "epoch": 0.7275, + "grad_norm": 0.8417593240737915, + "learning_rate": 5.455455455455456e-05, + "loss": 2.3631, + "step": 7275 + }, + { + "epoch": 0.728, + "grad_norm": 0.8216800689697266, + "learning_rate": 5.445445445445446e-05, + "loss": 2.3934, + "step": 7280 + }, + { + "epoch": 0.7285, + "grad_norm": 0.8299776315689087, + "learning_rate": 5.435435435435435e-05, + "loss": 2.3744, + "step": 7285 + }, + { + "epoch": 0.729, + "grad_norm": 0.9270496964454651, + "learning_rate": 5.425425425425425e-05, + "loss": 2.379, + "step": 7290 + }, + { + "epoch": 0.7295, + "grad_norm": 0.7992855906486511, + "learning_rate": 5.415415415415416e-05, + "loss": 2.3673, + "step": 7295 + }, + { + "epoch": 0.73, + "grad_norm": 0.7973700165748596, + "learning_rate": 5.405405405405406e-05, + "loss": 2.3799, + "step": 7300 + }, + { + "epoch": 0.7305, + "grad_norm": 0.8608441352844238, + "learning_rate": 5.395395395395396e-05, + "loss": 2.3897, + "step": 7305 + }, + { + "epoch": 0.731, + "grad_norm": 0.7959920763969421, + "learning_rate": 5.3853853853853854e-05, + "loss": 2.3771, + "step": 7310 + }, + { + "epoch": 0.7315, + "grad_norm": 0.7734951972961426, + "learning_rate": 5.3753753753753754e-05, + "loss": 2.3836, + "step": 7315 + }, + { + "epoch": 0.732, + "grad_norm": 0.8180063962936401, + "learning_rate": 5.3653653653653654e-05, + "loss": 2.3562, + "step": 7320 + }, + { + "epoch": 0.7325, + "grad_norm": 0.817004382610321, + "learning_rate": 5.355355355355356e-05, + "loss": 2.3608, + "step": 7325 + }, + { + "epoch": 0.733, + "grad_norm": 0.7949969172477722, + "learning_rate": 5.345345345345346e-05, + "loss": 2.3812, + "step": 7330 + }, + { + "epoch": 0.7335, + "grad_norm": 0.8416751027107239, + "learning_rate": 5.3353353353353355e-05, + "loss": 2.3376, + "step": 7335 + }, + { + "epoch": 0.734, + "grad_norm": 0.8331473469734192, + "learning_rate": 5.3253253253253255e-05, + "loss": 2.3837, + "step": 7340 + }, + { + "epoch": 0.7345, + "grad_norm": 0.8140696883201599, + "learning_rate": 5.3153153153153155e-05, + "loss": 2.3737, + "step": 7345 + }, + { + "epoch": 0.735, + "grad_norm": 0.8087270259857178, + "learning_rate": 5.305305305305306e-05, + "loss": 2.3579, + "step": 7350 + }, + { + "epoch": 0.7355, + "grad_norm": 0.8513954877853394, + "learning_rate": 5.295295295295295e-05, + "loss": 2.3682, + "step": 7355 + }, + { + "epoch": 0.736, + "grad_norm": 0.8019487857818604, + "learning_rate": 5.2852852852852855e-05, + "loss": 2.383, + "step": 7360 + }, + { + "epoch": 0.7365, + "grad_norm": 0.8455563187599182, + "learning_rate": 5.2752752752752755e-05, + "loss": 2.3614, + "step": 7365 + }, + { + "epoch": 0.737, + "grad_norm": 0.8061125874519348, + "learning_rate": 5.2652652652652655e-05, + "loss": 2.3715, + "step": 7370 + }, + { + "epoch": 0.7375, + "grad_norm": 0.8147531151771545, + "learning_rate": 5.2552552552552556e-05, + "loss": 2.3663, + "step": 7375 + }, + { + "epoch": 0.738, + "grad_norm": 0.8364109992980957, + "learning_rate": 5.245245245245245e-05, + "loss": 2.3746, + "step": 7380 + }, + { + "epoch": 0.7385, + "grad_norm": 0.8020389080047607, + "learning_rate": 5.235235235235235e-05, + "loss": 2.3357, + "step": 7385 + }, + { + "epoch": 0.739, + "grad_norm": 0.8236432075500488, + "learning_rate": 5.2252252252252256e-05, + "loss": 2.3952, + "step": 7390 + }, + { + "epoch": 0.7395, + "grad_norm": 0.7781680226325989, + "learning_rate": 5.2152152152152156e-05, + "loss": 2.3833, + "step": 7395 + }, + { + "epoch": 0.74, + "grad_norm": 0.7892677187919617, + "learning_rate": 5.2052052052052056e-05, + "loss": 2.3658, + "step": 7400 + }, + { + "epoch": 0.7405, + "grad_norm": 0.808290958404541, + "learning_rate": 5.195195195195195e-05, + "loss": 2.3683, + "step": 7405 + }, + { + "epoch": 0.741, + "grad_norm": 0.7929525971412659, + "learning_rate": 5.185185185185185e-05, + "loss": 2.3563, + "step": 7410 + }, + { + "epoch": 0.7415, + "grad_norm": 0.8070533871650696, + "learning_rate": 5.175175175175176e-05, + "loss": 2.3546, + "step": 7415 + }, + { + "epoch": 0.742, + "grad_norm": 0.8430861234664917, + "learning_rate": 5.165165165165166e-05, + "loss": 2.366, + "step": 7420 + }, + { + "epoch": 0.7425, + "grad_norm": 0.8671832084655762, + "learning_rate": 5.155155155155156e-05, + "loss": 2.3898, + "step": 7425 + }, + { + "epoch": 0.743, + "grad_norm": 0.8964141011238098, + "learning_rate": 5.145145145145145e-05, + "loss": 2.3625, + "step": 7430 + }, + { + "epoch": 0.7435, + "grad_norm": 0.8146119713783264, + "learning_rate": 5.135135135135135e-05, + "loss": 2.3811, + "step": 7435 + }, + { + "epoch": 0.744, + "grad_norm": 0.83391273021698, + "learning_rate": 5.125125125125125e-05, + "loss": 2.3757, + "step": 7440 + }, + { + "epoch": 0.7445, + "grad_norm": 0.7972255945205688, + "learning_rate": 5.115115115115116e-05, + "loss": 2.379, + "step": 7445 + }, + { + "epoch": 0.745, + "grad_norm": 0.7837113738059998, + "learning_rate": 5.105105105105106e-05, + "loss": 2.3716, + "step": 7450 + }, + { + "epoch": 0.7455, + "grad_norm": 0.8616361618041992, + "learning_rate": 5.095095095095095e-05, + "loss": 2.3552, + "step": 7455 + }, + { + "epoch": 0.746, + "grad_norm": 0.8113681077957153, + "learning_rate": 5.085085085085085e-05, + "loss": 2.3789, + "step": 7460 + }, + { + "epoch": 0.7465, + "grad_norm": 0.7940648198127747, + "learning_rate": 5.075075075075075e-05, + "loss": 2.3643, + "step": 7465 + }, + { + "epoch": 0.747, + "grad_norm": 0.8371662497520447, + "learning_rate": 5.065065065065066e-05, + "loss": 2.3637, + "step": 7470 + }, + { + "epoch": 0.7475, + "grad_norm": 0.8097828030586243, + "learning_rate": 5.055055055055056e-05, + "loss": 2.386, + "step": 7475 + }, + { + "epoch": 0.748, + "grad_norm": 0.8285651803016663, + "learning_rate": 5.0450450450450445e-05, + "loss": 2.3578, + "step": 7480 + }, + { + "epoch": 0.7485, + "grad_norm": 0.7992802858352661, + "learning_rate": 5.035035035035035e-05, + "loss": 2.3586, + "step": 7485 + }, + { + "epoch": 0.749, + "grad_norm": 0.8517287969589233, + "learning_rate": 5.025025025025025e-05, + "loss": 2.3644, + "step": 7490 + }, + { + "epoch": 0.7495, + "grad_norm": 0.8603693842887878, + "learning_rate": 5.015015015015015e-05, + "loss": 2.3585, + "step": 7495 + }, + { + "epoch": 0.75, + "grad_norm": 0.837411105632782, + "learning_rate": 5.005005005005006e-05, + "loss": 2.3527, + "step": 7500 + }, + { + "epoch": 0.7505, + "grad_norm": 0.7850192189216614, + "learning_rate": 4.994994994994995e-05, + "loss": 2.3614, + "step": 7505 + }, + { + "epoch": 0.751, + "grad_norm": 0.7993366718292236, + "learning_rate": 4.984984984984985e-05, + "loss": 2.3432, + "step": 7510 + }, + { + "epoch": 0.7515, + "grad_norm": 0.801365315914154, + "learning_rate": 4.974974974974975e-05, + "loss": 2.3446, + "step": 7515 + }, + { + "epoch": 0.752, + "grad_norm": 0.8253291249275208, + "learning_rate": 4.964964964964965e-05, + "loss": 2.3685, + "step": 7520 + }, + { + "epoch": 0.7525, + "grad_norm": 0.8093944787979126, + "learning_rate": 4.954954954954955e-05, + "loss": 2.3598, + "step": 7525 + }, + { + "epoch": 0.753, + "grad_norm": 0.7934316396713257, + "learning_rate": 4.944944944944945e-05, + "loss": 2.369, + "step": 7530 + }, + { + "epoch": 0.7535, + "grad_norm": 0.8154873847961426, + "learning_rate": 4.9349349349349347e-05, + "loss": 2.3792, + "step": 7535 + }, + { + "epoch": 0.754, + "grad_norm": 0.8415142893791199, + "learning_rate": 4.9249249249249253e-05, + "loss": 2.3622, + "step": 7540 + }, + { + "epoch": 0.7545, + "grad_norm": 0.9094659090042114, + "learning_rate": 4.9149149149149154e-05, + "loss": 2.3663, + "step": 7545 + }, + { + "epoch": 0.755, + "grad_norm": 0.8376139998435974, + "learning_rate": 4.9049049049049054e-05, + "loss": 2.3486, + "step": 7550 + }, + { + "epoch": 0.7555, + "grad_norm": 0.7904059290885925, + "learning_rate": 4.8948948948948954e-05, + "loss": 2.3417, + "step": 7555 + }, + { + "epoch": 0.756, + "grad_norm": 0.8456617593765259, + "learning_rate": 4.884884884884885e-05, + "loss": 2.3765, + "step": 7560 + }, + { + "epoch": 0.7565, + "grad_norm": 0.8238437175750732, + "learning_rate": 4.8748748748748754e-05, + "loss": 2.3768, + "step": 7565 + }, + { + "epoch": 0.757, + "grad_norm": 0.8127914667129517, + "learning_rate": 4.8648648648648654e-05, + "loss": 2.3459, + "step": 7570 + }, + { + "epoch": 0.7575, + "grad_norm": 0.879636824131012, + "learning_rate": 4.854854854854855e-05, + "loss": 2.3588, + "step": 7575 + }, + { + "epoch": 0.758, + "grad_norm": 0.8751839399337769, + "learning_rate": 4.8448448448448455e-05, + "loss": 2.3566, + "step": 7580 + }, + { + "epoch": 0.7585, + "grad_norm": 0.80313640832901, + "learning_rate": 4.834834834834835e-05, + "loss": 2.3659, + "step": 7585 + }, + { + "epoch": 0.759, + "grad_norm": 0.8672766089439392, + "learning_rate": 4.824824824824825e-05, + "loss": 2.3713, + "step": 7590 + }, + { + "epoch": 0.7595, + "grad_norm": 0.8659483790397644, + "learning_rate": 4.814814814814815e-05, + "loss": 2.3806, + "step": 7595 + }, + { + "epoch": 0.76, + "grad_norm": 0.816363513469696, + "learning_rate": 4.804804804804805e-05, + "loss": 2.3593, + "step": 7600 + }, + { + "epoch": 0.7605, + "grad_norm": 0.8372772932052612, + "learning_rate": 4.7947947947947955e-05, + "loss": 2.3402, + "step": 7605 + }, + { + "epoch": 0.761, + "grad_norm": 0.841561496257782, + "learning_rate": 4.784784784784785e-05, + "loss": 2.3519, + "step": 7610 + }, + { + "epoch": 0.7615, + "grad_norm": 0.7936203479766846, + "learning_rate": 4.774774774774775e-05, + "loss": 2.3714, + "step": 7615 + }, + { + "epoch": 0.762, + "grad_norm": 0.8175353407859802, + "learning_rate": 4.764764764764765e-05, + "loss": 2.3571, + "step": 7620 + }, + { + "epoch": 0.7625, + "grad_norm": 0.8095380663871765, + "learning_rate": 4.754754754754755e-05, + "loss": 2.3731, + "step": 7625 + }, + { + "epoch": 0.763, + "grad_norm": 0.86039799451828, + "learning_rate": 4.744744744744745e-05, + "loss": 2.3402, + "step": 7630 + }, + { + "epoch": 0.7635, + "grad_norm": 0.7970331311225891, + "learning_rate": 4.734734734734735e-05, + "loss": 2.3562, + "step": 7635 + }, + { + "epoch": 0.764, + "grad_norm": 0.8392342925071716, + "learning_rate": 4.724724724724725e-05, + "loss": 2.3739, + "step": 7640 + }, + { + "epoch": 0.7645, + "grad_norm": 0.8334502577781677, + "learning_rate": 4.714714714714715e-05, + "loss": 2.3464, + "step": 7645 + }, + { + "epoch": 0.765, + "grad_norm": 0.8409643173217773, + "learning_rate": 4.704704704704705e-05, + "loss": 2.4046, + "step": 7650 + }, + { + "epoch": 0.7655, + "grad_norm": 0.8266360759735107, + "learning_rate": 4.694694694694695e-05, + "loss": 2.3713, + "step": 7655 + }, + { + "epoch": 0.766, + "grad_norm": 0.7967942953109741, + "learning_rate": 4.684684684684685e-05, + "loss": 2.3632, + "step": 7660 + }, + { + "epoch": 0.7665, + "grad_norm": 0.8663550019264221, + "learning_rate": 4.674674674674675e-05, + "loss": 2.3539, + "step": 7665 + }, + { + "epoch": 0.767, + "grad_norm": 0.832740068435669, + "learning_rate": 4.6646646646646644e-05, + "loss": 2.3424, + "step": 7670 + }, + { + "epoch": 0.7675, + "grad_norm": 0.85154789686203, + "learning_rate": 4.654654654654655e-05, + "loss": 2.3567, + "step": 7675 + }, + { + "epoch": 0.768, + "grad_norm": 0.8139371871948242, + "learning_rate": 4.644644644644645e-05, + "loss": 2.3845, + "step": 7680 + }, + { + "epoch": 0.7685, + "grad_norm": 0.8819915056228638, + "learning_rate": 4.634634634634635e-05, + "loss": 2.368, + "step": 7685 + }, + { + "epoch": 0.769, + "grad_norm": 0.8150420188903809, + "learning_rate": 4.624624624624625e-05, + "loss": 2.3595, + "step": 7690 + }, + { + "epoch": 0.7695, + "grad_norm": 0.8445594310760498, + "learning_rate": 4.6146146146146144e-05, + "loss": 2.3579, + "step": 7695 + }, + { + "epoch": 0.77, + "grad_norm": 0.8054527044296265, + "learning_rate": 4.604604604604605e-05, + "loss": 2.3534, + "step": 7700 + }, + { + "epoch": 0.7705, + "grad_norm": 0.8040105104446411, + "learning_rate": 4.594594594594595e-05, + "loss": 2.3824, + "step": 7705 + }, + { + "epoch": 0.771, + "grad_norm": 0.8173477053642273, + "learning_rate": 4.5845845845845845e-05, + "loss": 2.358, + "step": 7710 + }, + { + "epoch": 0.7715, + "grad_norm": 0.8278516530990601, + "learning_rate": 4.574574574574575e-05, + "loss": 2.3458, + "step": 7715 + }, + { + "epoch": 0.772, + "grad_norm": 0.8155180811882019, + "learning_rate": 4.5645645645645645e-05, + "loss": 2.3542, + "step": 7720 + }, + { + "epoch": 0.7725, + "grad_norm": 0.811967670917511, + "learning_rate": 4.5545545545545545e-05, + "loss": 2.3689, + "step": 7725 + }, + { + "epoch": 0.773, + "grad_norm": 0.8122997283935547, + "learning_rate": 4.544544544544545e-05, + "loss": 2.3797, + "step": 7730 + }, + { + "epoch": 0.7735, + "grad_norm": 0.8238713145256042, + "learning_rate": 4.5345345345345345e-05, + "loss": 2.3871, + "step": 7735 + }, + { + "epoch": 0.774, + "grad_norm": 0.7975063920021057, + "learning_rate": 4.524524524524525e-05, + "loss": 2.3637, + "step": 7740 + }, + { + "epoch": 0.7745, + "grad_norm": 0.8312461376190186, + "learning_rate": 4.5145145145145146e-05, + "loss": 2.3469, + "step": 7745 + }, + { + "epoch": 0.775, + "grad_norm": 0.8213257193565369, + "learning_rate": 4.5045045045045046e-05, + "loss": 2.3878, + "step": 7750 + }, + { + "epoch": 0.7755, + "grad_norm": 0.8709314465522766, + "learning_rate": 4.4944944944944946e-05, + "loss": 2.3642, + "step": 7755 + }, + { + "epoch": 0.776, + "grad_norm": 0.8140637874603271, + "learning_rate": 4.4844844844844846e-05, + "loss": 2.3533, + "step": 7760 + }, + { + "epoch": 0.7765, + "grad_norm": 0.8330239653587341, + "learning_rate": 4.4744744744744746e-05, + "loss": 2.3647, + "step": 7765 + }, + { + "epoch": 0.777, + "grad_norm": 0.8120850324630737, + "learning_rate": 4.4644644644644646e-05, + "loss": 2.3587, + "step": 7770 + }, + { + "epoch": 0.7775, + "grad_norm": 0.8139227032661438, + "learning_rate": 4.4544544544544546e-05, + "loss": 2.3635, + "step": 7775 + }, + { + "epoch": 0.778, + "grad_norm": 0.8348556160926819, + "learning_rate": 4.4444444444444447e-05, + "loss": 2.3721, + "step": 7780 + }, + { + "epoch": 0.7785, + "grad_norm": 0.8350592851638794, + "learning_rate": 4.434434434434435e-05, + "loss": 2.3801, + "step": 7785 + }, + { + "epoch": 0.779, + "grad_norm": 0.8146738409996033, + "learning_rate": 4.424424424424425e-05, + "loss": 2.3544, + "step": 7790 + }, + { + "epoch": 0.7795, + "grad_norm": 0.82841956615448, + "learning_rate": 4.414414414414415e-05, + "loss": 2.3373, + "step": 7795 + }, + { + "epoch": 0.78, + "grad_norm": 0.8554604649543762, + "learning_rate": 4.404404404404405e-05, + "loss": 2.3614, + "step": 7800 + }, + { + "epoch": 0.7805, + "grad_norm": 0.8313968181610107, + "learning_rate": 4.394394394394394e-05, + "loss": 2.3451, + "step": 7805 + }, + { + "epoch": 0.781, + "grad_norm": 0.8203895688056946, + "learning_rate": 4.384384384384385e-05, + "loss": 2.3601, + "step": 7810 + }, + { + "epoch": 0.7815, + "grad_norm": 0.814744234085083, + "learning_rate": 4.374374374374375e-05, + "loss": 2.3856, + "step": 7815 + }, + { + "epoch": 0.782, + "grad_norm": 0.8176069259643555, + "learning_rate": 4.364364364364365e-05, + "loss": 2.3435, + "step": 7820 + }, + { + "epoch": 0.7825, + "grad_norm": 0.8046497702598572, + "learning_rate": 4.354354354354355e-05, + "loss": 2.3643, + "step": 7825 + }, + { + "epoch": 0.783, + "grad_norm": 0.8219382762908936, + "learning_rate": 4.344344344344344e-05, + "loss": 2.3636, + "step": 7830 + }, + { + "epoch": 0.7835, + "grad_norm": 0.8374064564704895, + "learning_rate": 4.334334334334335e-05, + "loss": 2.3669, + "step": 7835 + }, + { + "epoch": 0.784, + "grad_norm": 0.8313128352165222, + "learning_rate": 4.324324324324325e-05, + "loss": 2.3303, + "step": 7840 + }, + { + "epoch": 0.7845, + "grad_norm": 0.8300835490226746, + "learning_rate": 4.314314314314314e-05, + "loss": 2.3293, + "step": 7845 + }, + { + "epoch": 0.785, + "grad_norm": 0.8263983130455017, + "learning_rate": 4.304304304304305e-05, + "loss": 2.3495, + "step": 7850 + }, + { + "epoch": 0.7855, + "grad_norm": 0.835594654083252, + "learning_rate": 4.294294294294294e-05, + "loss": 2.3481, + "step": 7855 + }, + { + "epoch": 0.786, + "grad_norm": 0.8166428804397583, + "learning_rate": 4.284284284284284e-05, + "loss": 2.3811, + "step": 7860 + }, + { + "epoch": 0.7865, + "grad_norm": 0.8068861961364746, + "learning_rate": 4.274274274274275e-05, + "loss": 2.3759, + "step": 7865 + }, + { + "epoch": 0.787, + "grad_norm": 0.8637300133705139, + "learning_rate": 4.264264264264264e-05, + "loss": 2.3728, + "step": 7870 + }, + { + "epoch": 0.7875, + "grad_norm": 0.8304838538169861, + "learning_rate": 4.254254254254255e-05, + "loss": 2.3558, + "step": 7875 + }, + { + "epoch": 0.788, + "grad_norm": 0.813943088054657, + "learning_rate": 4.244244244244244e-05, + "loss": 2.3273, + "step": 7880 + }, + { + "epoch": 0.7885, + "grad_norm": 0.8327081203460693, + "learning_rate": 4.234234234234234e-05, + "loss": 2.3514, + "step": 7885 + }, + { + "epoch": 0.789, + "grad_norm": 0.8549174070358276, + "learning_rate": 4.224224224224225e-05, + "loss": 2.3849, + "step": 7890 + }, + { + "epoch": 0.7895, + "grad_norm": 0.8003869652748108, + "learning_rate": 4.214214214214214e-05, + "loss": 2.3456, + "step": 7895 + }, + { + "epoch": 0.79, + "grad_norm": 0.8233539462089539, + "learning_rate": 4.204204204204204e-05, + "loss": 2.3488, + "step": 7900 + }, + { + "epoch": 0.7905, + "grad_norm": 0.8078953623771667, + "learning_rate": 4.194194194194194e-05, + "loss": 2.3626, + "step": 7905 + }, + { + "epoch": 0.791, + "grad_norm": 0.8408604264259338, + "learning_rate": 4.1841841841841843e-05, + "loss": 2.3702, + "step": 7910 + }, + { + "epoch": 0.7915, + "grad_norm": 0.8244900703430176, + "learning_rate": 4.1741741741741744e-05, + "loss": 2.3367, + "step": 7915 + }, + { + "epoch": 0.792, + "grad_norm": 0.8229595422744751, + "learning_rate": 4.1641641641641644e-05, + "loss": 2.3475, + "step": 7920 + }, + { + "epoch": 0.7925, + "grad_norm": 0.8468862175941467, + "learning_rate": 4.1541541541541544e-05, + "loss": 2.3716, + "step": 7925 + }, + { + "epoch": 0.793, + "grad_norm": 0.7976715564727783, + "learning_rate": 4.1441441441441444e-05, + "loss": 2.3701, + "step": 7930 + }, + { + "epoch": 0.7935, + "grad_norm": 0.7963828444480896, + "learning_rate": 4.1341341341341344e-05, + "loss": 2.3521, + "step": 7935 + }, + { + "epoch": 0.794, + "grad_norm": 0.8006214499473572, + "learning_rate": 4.124124124124124e-05, + "loss": 2.3594, + "step": 7940 + }, + { + "epoch": 0.7945, + "grad_norm": 0.8206690549850464, + "learning_rate": 4.1141141141141144e-05, + "loss": 2.3498, + "step": 7945 + }, + { + "epoch": 0.795, + "grad_norm": 0.8171199560165405, + "learning_rate": 4.1041041041041045e-05, + "loss": 2.3487, + "step": 7950 + }, + { + "epoch": 0.7955, + "grad_norm": 0.8080857992172241, + "learning_rate": 4.0940940940940945e-05, + "loss": 2.3263, + "step": 7955 + }, + { + "epoch": 0.796, + "grad_norm": 0.8231513500213623, + "learning_rate": 4.0840840840840845e-05, + "loss": 2.3729, + "step": 7960 + }, + { + "epoch": 0.7965, + "grad_norm": 0.8671808242797852, + "learning_rate": 4.074074074074074e-05, + "loss": 2.376, + "step": 7965 + }, + { + "epoch": 0.797, + "grad_norm": 0.790890097618103, + "learning_rate": 4.0640640640640645e-05, + "loss": 2.3345, + "step": 7970 + }, + { + "epoch": 0.7975, + "grad_norm": 0.8026176691055298, + "learning_rate": 4.0540540540540545e-05, + "loss": 2.3578, + "step": 7975 + }, + { + "epoch": 0.798, + "grad_norm": 0.799191415309906, + "learning_rate": 4.044044044044044e-05, + "loss": 2.3585, + "step": 7980 + }, + { + "epoch": 0.7985, + "grad_norm": 0.8245786428451538, + "learning_rate": 4.0340340340340346e-05, + "loss": 2.3535, + "step": 7985 + }, + { + "epoch": 0.799, + "grad_norm": 0.8001775145530701, + "learning_rate": 4.024024024024024e-05, + "loss": 2.3813, + "step": 7990 + }, + { + "epoch": 0.7995, + "grad_norm": 0.8119397163391113, + "learning_rate": 4.014014014014014e-05, + "loss": 2.34, + "step": 7995 + }, + { + "epoch": 0.8, + "grad_norm": 0.8177365660667419, + "learning_rate": 4.0040040040040046e-05, + "loss": 2.3409, + "step": 8000 + }, + { + "epoch": 0.8005, + "grad_norm": 0.8202060461044312, + "learning_rate": 3.993993993993994e-05, + "loss": 2.3438, + "step": 8005 + }, + { + "epoch": 0.801, + "grad_norm": 0.8008648157119751, + "learning_rate": 3.9839839839839846e-05, + "loss": 2.3566, + "step": 8010 + }, + { + "epoch": 0.8015, + "grad_norm": 0.8599295616149902, + "learning_rate": 3.973973973973974e-05, + "loss": 2.3465, + "step": 8015 + }, + { + "epoch": 0.802, + "grad_norm": 0.8756669163703918, + "learning_rate": 3.963963963963964e-05, + "loss": 2.3387, + "step": 8020 + }, + { + "epoch": 0.8025, + "grad_norm": 0.8419957756996155, + "learning_rate": 3.953953953953955e-05, + "loss": 2.3652, + "step": 8025 + }, + { + "epoch": 0.803, + "grad_norm": 0.8807148933410645, + "learning_rate": 3.943943943943944e-05, + "loss": 2.3626, + "step": 8030 + }, + { + "epoch": 0.8035, + "grad_norm": 0.8416363596916199, + "learning_rate": 3.933933933933934e-05, + "loss": 2.3441, + "step": 8035 + }, + { + "epoch": 0.804, + "grad_norm": 0.8050745725631714, + "learning_rate": 3.923923923923924e-05, + "loss": 2.3327, + "step": 8040 + }, + { + "epoch": 0.8045, + "grad_norm": 0.8007880449295044, + "learning_rate": 3.913913913913914e-05, + "loss": 2.3382, + "step": 8045 + }, + { + "epoch": 0.805, + "grad_norm": 0.8622052669525146, + "learning_rate": 3.903903903903904e-05, + "loss": 2.3388, + "step": 8050 + }, + { + "epoch": 0.8055, + "grad_norm": 0.8893733024597168, + "learning_rate": 3.893893893893894e-05, + "loss": 2.3553, + "step": 8055 + }, + { + "epoch": 0.806, + "grad_norm": 0.809303343296051, + "learning_rate": 3.883883883883884e-05, + "loss": 2.3664, + "step": 8060 + }, + { + "epoch": 0.8065, + "grad_norm": 0.8065176010131836, + "learning_rate": 3.873873873873874e-05, + "loss": 2.3279, + "step": 8065 + }, + { + "epoch": 0.807, + "grad_norm": 0.8207269310951233, + "learning_rate": 3.863863863863864e-05, + "loss": 2.3574, + "step": 8070 + }, + { + "epoch": 0.8075, + "grad_norm": 0.8416551351547241, + "learning_rate": 3.8538538538538534e-05, + "loss": 2.3645, + "step": 8075 + }, + { + "epoch": 0.808, + "grad_norm": 0.8307541012763977, + "learning_rate": 3.843843843843844e-05, + "loss": 2.3598, + "step": 8080 + }, + { + "epoch": 0.8085, + "grad_norm": 0.887773871421814, + "learning_rate": 3.833833833833834e-05, + "loss": 2.3657, + "step": 8085 + }, + { + "epoch": 0.809, + "grad_norm": 0.8345415592193604, + "learning_rate": 3.823823823823824e-05, + "loss": 2.3648, + "step": 8090 + }, + { + "epoch": 0.8095, + "grad_norm": 0.8247503638267517, + "learning_rate": 3.813813813813814e-05, + "loss": 2.3438, + "step": 8095 + }, + { + "epoch": 0.81, + "grad_norm": 0.8071210384368896, + "learning_rate": 3.8038038038038035e-05, + "loss": 2.3442, + "step": 8100 + }, + { + "epoch": 0.8105, + "grad_norm": 0.839046835899353, + "learning_rate": 3.793793793793794e-05, + "loss": 2.3448, + "step": 8105 + }, + { + "epoch": 0.811, + "grad_norm": 0.8256351947784424, + "learning_rate": 3.783783783783784e-05, + "loss": 2.3415, + "step": 8110 + }, + { + "epoch": 0.8115, + "grad_norm": 0.8096026182174683, + "learning_rate": 3.7737737737737736e-05, + "loss": 2.3541, + "step": 8115 + }, + { + "epoch": 0.812, + "grad_norm": 0.8799003958702087, + "learning_rate": 3.763763763763764e-05, + "loss": 2.359, + "step": 8120 + }, + { + "epoch": 0.8125, + "grad_norm": 0.8653494119644165, + "learning_rate": 3.7537537537537536e-05, + "loss": 2.3481, + "step": 8125 + }, + { + "epoch": 0.813, + "grad_norm": 0.8147699236869812, + "learning_rate": 3.7437437437437436e-05, + "loss": 2.3438, + "step": 8130 + }, + { + "epoch": 0.8135, + "grad_norm": 0.9093450307846069, + "learning_rate": 3.733733733733734e-05, + "loss": 2.3618, + "step": 8135 + }, + { + "epoch": 0.814, + "grad_norm": 0.8373345136642456, + "learning_rate": 3.7237237237237236e-05, + "loss": 2.3646, + "step": 8140 + }, + { + "epoch": 0.8145, + "grad_norm": 0.7906237840652466, + "learning_rate": 3.713713713713714e-05, + "loss": 2.3572, + "step": 8145 + }, + { + "epoch": 0.815, + "grad_norm": 0.8436282873153687, + "learning_rate": 3.7037037037037037e-05, + "loss": 2.3573, + "step": 8150 + }, + { + "epoch": 0.8155, + "grad_norm": 0.8746330738067627, + "learning_rate": 3.693693693693694e-05, + "loss": 2.3511, + "step": 8155 + }, + { + "epoch": 0.816, + "grad_norm": 0.8541123867034912, + "learning_rate": 3.6836836836836844e-05, + "loss": 2.3531, + "step": 8160 + }, + { + "epoch": 0.8165, + "grad_norm": 0.8279290199279785, + "learning_rate": 3.673673673673674e-05, + "loss": 2.3557, + "step": 8165 + }, + { + "epoch": 0.817, + "grad_norm": 0.8584079146385193, + "learning_rate": 3.663663663663664e-05, + "loss": 2.3309, + "step": 8170 + }, + { + "epoch": 0.8175, + "grad_norm": 0.8298118710517883, + "learning_rate": 3.653653653653654e-05, + "loss": 2.3279, + "step": 8175 + }, + { + "epoch": 0.818, + "grad_norm": 0.8362030386924744, + "learning_rate": 3.643643643643644e-05, + "loss": 2.3485, + "step": 8180 + }, + { + "epoch": 0.8185, + "grad_norm": 0.7963013648986816, + "learning_rate": 3.633633633633634e-05, + "loss": 2.3488, + "step": 8185 + }, + { + "epoch": 0.819, + "grad_norm": 0.8097391724586487, + "learning_rate": 3.623623623623624e-05, + "loss": 2.323, + "step": 8190 + }, + { + "epoch": 0.8195, + "grad_norm": 0.8353894948959351, + "learning_rate": 3.613613613613614e-05, + "loss": 2.3723, + "step": 8195 + }, + { + "epoch": 0.82, + "grad_norm": 0.8266981244087219, + "learning_rate": 3.603603603603604e-05, + "loss": 2.3598, + "step": 8200 + }, + { + "epoch": 0.8205, + "grad_norm": 0.8105880618095398, + "learning_rate": 3.593593593593594e-05, + "loss": 2.3505, + "step": 8205 + }, + { + "epoch": 0.821, + "grad_norm": 0.8008158802986145, + "learning_rate": 3.583583583583583e-05, + "loss": 2.3643, + "step": 8210 + }, + { + "epoch": 0.8215, + "grad_norm": 0.7863180041313171, + "learning_rate": 3.573573573573574e-05, + "loss": 2.3433, + "step": 8215 + }, + { + "epoch": 0.822, + "grad_norm": 0.8484141826629639, + "learning_rate": 3.563563563563564e-05, + "loss": 2.3515, + "step": 8220 + }, + { + "epoch": 0.8225, + "grad_norm": 0.8206436038017273, + "learning_rate": 3.553553553553554e-05, + "loss": 2.351, + "step": 8225 + }, + { + "epoch": 0.823, + "grad_norm": 0.7947841882705688, + "learning_rate": 3.543543543543544e-05, + "loss": 2.3378, + "step": 8230 + }, + { + "epoch": 0.8235, + "grad_norm": 0.8877801299095154, + "learning_rate": 3.533533533533533e-05, + "loss": 2.365, + "step": 8235 + }, + { + "epoch": 0.824, + "grad_norm": 0.8179998397827148, + "learning_rate": 3.523523523523524e-05, + "loss": 2.3607, + "step": 8240 + }, + { + "epoch": 0.8245, + "grad_norm": 0.8523365259170532, + "learning_rate": 3.513513513513514e-05, + "loss": 2.3448, + "step": 8245 + }, + { + "epoch": 0.825, + "grad_norm": 0.8639063835144043, + "learning_rate": 3.503503503503503e-05, + "loss": 2.3713, + "step": 8250 + }, + { + "epoch": 0.8255, + "grad_norm": 0.9359018206596375, + "learning_rate": 3.493493493493494e-05, + "loss": 2.3531, + "step": 8255 + }, + { + "epoch": 0.826, + "grad_norm": 0.8109295964241028, + "learning_rate": 3.483483483483483e-05, + "loss": 2.3528, + "step": 8260 + }, + { + "epoch": 0.8265, + "grad_norm": 0.8261359930038452, + "learning_rate": 3.473473473473473e-05, + "loss": 2.3829, + "step": 8265 + }, + { + "epoch": 0.827, + "grad_norm": 0.8504651784896851, + "learning_rate": 3.463463463463464e-05, + "loss": 2.3537, + "step": 8270 + }, + { + "epoch": 0.8275, + "grad_norm": 0.8876836895942688, + "learning_rate": 3.453453453453453e-05, + "loss": 2.3446, + "step": 8275 + }, + { + "epoch": 0.828, + "grad_norm": 0.8673462867736816, + "learning_rate": 3.443443443443444e-05, + "loss": 2.3826, + "step": 8280 + }, + { + "epoch": 0.8285, + "grad_norm": 0.8119297027587891, + "learning_rate": 3.4334334334334334e-05, + "loss": 2.3621, + "step": 8285 + }, + { + "epoch": 0.829, + "grad_norm": 0.8265256881713867, + "learning_rate": 3.4234234234234234e-05, + "loss": 2.3526, + "step": 8290 + }, + { + "epoch": 0.8295, + "grad_norm": 0.7955986857414246, + "learning_rate": 3.413413413413414e-05, + "loss": 2.3401, + "step": 8295 + }, + { + "epoch": 0.83, + "grad_norm": 0.8546925783157349, + "learning_rate": 3.4034034034034034e-05, + "loss": 2.3677, + "step": 8300 + }, + { + "epoch": 0.8305, + "grad_norm": 0.8466092348098755, + "learning_rate": 3.3933933933933934e-05, + "loss": 2.3298, + "step": 8305 + }, + { + "epoch": 0.831, + "grad_norm": 0.8166059851646423, + "learning_rate": 3.3833833833833834e-05, + "loss": 2.3388, + "step": 8310 + }, + { + "epoch": 0.8315, + "grad_norm": 0.8029240369796753, + "learning_rate": 3.3733733733733734e-05, + "loss": 2.3482, + "step": 8315 + }, + { + "epoch": 0.832, + "grad_norm": 0.8286939263343811, + "learning_rate": 3.3633633633633635e-05, + "loss": 2.3453, + "step": 8320 + }, + { + "epoch": 0.8325, + "grad_norm": 0.8886439204216003, + "learning_rate": 3.3533533533533535e-05, + "loss": 2.3338, + "step": 8325 + }, + { + "epoch": 0.833, + "grad_norm": 0.841537356376648, + "learning_rate": 3.3433433433433435e-05, + "loss": 2.3453, + "step": 8330 + }, + { + "epoch": 0.8335, + "grad_norm": 0.7937127947807312, + "learning_rate": 3.3333333333333335e-05, + "loss": 2.3659, + "step": 8335 + }, + { + "epoch": 0.834, + "grad_norm": 0.8088583946228027, + "learning_rate": 3.3233233233233235e-05, + "loss": 2.343, + "step": 8340 + }, + { + "epoch": 0.8345, + "grad_norm": 0.8171084523200989, + "learning_rate": 3.3133133133133135e-05, + "loss": 2.3551, + "step": 8345 + }, + { + "epoch": 0.835, + "grad_norm": 0.8256644606590271, + "learning_rate": 3.3033033033033035e-05, + "loss": 2.3623, + "step": 8350 + }, + { + "epoch": 0.8355, + "grad_norm": 0.8347882032394409, + "learning_rate": 3.2932932932932935e-05, + "loss": 2.3551, + "step": 8355 + }, + { + "epoch": 0.836, + "grad_norm": 0.818671464920044, + "learning_rate": 3.2832832832832836e-05, + "loss": 2.3321, + "step": 8360 + }, + { + "epoch": 0.8365, + "grad_norm": 0.8162476420402527, + "learning_rate": 3.2732732732732736e-05, + "loss": 2.3582, + "step": 8365 + }, + { + "epoch": 0.837, + "grad_norm": 0.8154727220535278, + "learning_rate": 3.263263263263263e-05, + "loss": 2.3394, + "step": 8370 + }, + { + "epoch": 0.8375, + "grad_norm": 0.8620063662528992, + "learning_rate": 3.2532532532532536e-05, + "loss": 2.321, + "step": 8375 + }, + { + "epoch": 0.838, + "grad_norm": 0.8535669445991516, + "learning_rate": 3.2432432432432436e-05, + "loss": 2.337, + "step": 8380 + }, + { + "epoch": 0.8385, + "grad_norm": 0.8434451222419739, + "learning_rate": 3.233233233233233e-05, + "loss": 2.3599, + "step": 8385 + }, + { + "epoch": 0.839, + "grad_norm": 0.8340520262718201, + "learning_rate": 3.2232232232232236e-05, + "loss": 2.3546, + "step": 8390 + }, + { + "epoch": 0.8395, + "grad_norm": 0.8047171235084534, + "learning_rate": 3.213213213213213e-05, + "loss": 2.3571, + "step": 8395 + }, + { + "epoch": 0.84, + "grad_norm": 0.811255156993866, + "learning_rate": 3.203203203203203e-05, + "loss": 2.3472, + "step": 8400 + }, + { + "epoch": 0.8405, + "grad_norm": 0.8495455980300903, + "learning_rate": 3.193193193193194e-05, + "loss": 2.3573, + "step": 8405 + }, + { + "epoch": 0.841, + "grad_norm": 0.8299034237861633, + "learning_rate": 3.183183183183183e-05, + "loss": 2.318, + "step": 8410 + }, + { + "epoch": 0.8415, + "grad_norm": 0.8490227460861206, + "learning_rate": 3.173173173173174e-05, + "loss": 2.35, + "step": 8415 + }, + { + "epoch": 0.842, + "grad_norm": 0.8307939171791077, + "learning_rate": 3.163163163163163e-05, + "loss": 2.32, + "step": 8420 + }, + { + "epoch": 0.8425, + "grad_norm": 0.8129630088806152, + "learning_rate": 3.153153153153153e-05, + "loss": 2.3439, + "step": 8425 + }, + { + "epoch": 0.843, + "grad_norm": 0.8450644016265869, + "learning_rate": 3.143143143143144e-05, + "loss": 2.3265, + "step": 8430 + }, + { + "epoch": 0.8435, + "grad_norm": 0.8025068640708923, + "learning_rate": 3.133133133133133e-05, + "loss": 2.3517, + "step": 8435 + }, + { + "epoch": 0.844, + "grad_norm": 0.8366633653640747, + "learning_rate": 3.123123123123123e-05, + "loss": 2.3484, + "step": 8440 + }, + { + "epoch": 0.8445, + "grad_norm": 0.8080820441246033, + "learning_rate": 3.113113113113113e-05, + "loss": 2.3557, + "step": 8445 + }, + { + "epoch": 0.845, + "grad_norm": 0.8732795715332031, + "learning_rate": 3.103103103103103e-05, + "loss": 2.3648, + "step": 8450 + }, + { + "epoch": 0.8455, + "grad_norm": 0.8327799439430237, + "learning_rate": 3.093093093093093e-05, + "loss": 2.3396, + "step": 8455 + }, + { + "epoch": 0.846, + "grad_norm": 0.7959544062614441, + "learning_rate": 3.083083083083083e-05, + "loss": 2.337, + "step": 8460 + }, + { + "epoch": 0.8465, + "grad_norm": 0.8220170140266418, + "learning_rate": 3.073073073073073e-05, + "loss": 2.3477, + "step": 8465 + }, + { + "epoch": 0.847, + "grad_norm": 0.8160591721534729, + "learning_rate": 3.063063063063063e-05, + "loss": 2.3486, + "step": 8470 + }, + { + "epoch": 0.8475, + "grad_norm": 0.8442284464836121, + "learning_rate": 3.053053053053053e-05, + "loss": 2.342, + "step": 8475 + }, + { + "epoch": 0.848, + "grad_norm": 0.8980335593223572, + "learning_rate": 3.0430430430430436e-05, + "loss": 2.3571, + "step": 8480 + }, + { + "epoch": 0.8485, + "grad_norm": 0.8186134696006775, + "learning_rate": 3.0330330330330332e-05, + "loss": 2.3426, + "step": 8485 + }, + { + "epoch": 0.849, + "grad_norm": 0.8173196315765381, + "learning_rate": 3.0230230230230232e-05, + "loss": 2.3667, + "step": 8490 + }, + { + "epoch": 0.8495, + "grad_norm": 0.8508972525596619, + "learning_rate": 3.013013013013013e-05, + "loss": 2.3738, + "step": 8495 + }, + { + "epoch": 0.85, + "grad_norm": 0.830033004283905, + "learning_rate": 3.0030030030030033e-05, + "loss": 2.3554, + "step": 8500 + }, + { + "epoch": 0.8505, + "grad_norm": 0.8232085704803467, + "learning_rate": 2.9929929929929933e-05, + "loss": 2.3392, + "step": 8505 + }, + { + "epoch": 0.851, + "grad_norm": 0.8099601864814758, + "learning_rate": 2.982982982982983e-05, + "loss": 2.3517, + "step": 8510 + }, + { + "epoch": 0.8515, + "grad_norm": 0.8356584310531616, + "learning_rate": 2.9729729729729733e-05, + "loss": 2.3664, + "step": 8515 + }, + { + "epoch": 0.852, + "grad_norm": 0.8594179153442383, + "learning_rate": 2.962962962962963e-05, + "loss": 2.3585, + "step": 8520 + }, + { + "epoch": 0.8525, + "grad_norm": 0.8841564059257507, + "learning_rate": 2.952952952952953e-05, + "loss": 2.3322, + "step": 8525 + }, + { + "epoch": 0.853, + "grad_norm": 0.825693666934967, + "learning_rate": 2.9429429429429427e-05, + "loss": 2.3583, + "step": 8530 + }, + { + "epoch": 0.8535, + "grad_norm": 0.8264659643173218, + "learning_rate": 2.932932932932933e-05, + "loss": 2.3435, + "step": 8535 + }, + { + "epoch": 0.854, + "grad_norm": 0.8185012936592102, + "learning_rate": 2.9229229229229234e-05, + "loss": 2.3569, + "step": 8540 + }, + { + "epoch": 0.8545, + "grad_norm": 0.8264207243919373, + "learning_rate": 2.912912912912913e-05, + "loss": 2.36, + "step": 8545 + }, + { + "epoch": 0.855, + "grad_norm": 0.8175407648086548, + "learning_rate": 2.902902902902903e-05, + "loss": 2.3549, + "step": 8550 + }, + { + "epoch": 0.8555, + "grad_norm": 0.8118422031402588, + "learning_rate": 2.8928928928928928e-05, + "loss": 2.3345, + "step": 8555 + }, + { + "epoch": 0.856, + "grad_norm": 0.8219888210296631, + "learning_rate": 2.882882882882883e-05, + "loss": 2.3319, + "step": 8560 + }, + { + "epoch": 0.8565, + "grad_norm": 0.868126392364502, + "learning_rate": 2.872872872872873e-05, + "loss": 2.3567, + "step": 8565 + }, + { + "epoch": 0.857, + "grad_norm": 0.8113792538642883, + "learning_rate": 2.8628628628628628e-05, + "loss": 2.3326, + "step": 8570 + }, + { + "epoch": 0.8575, + "grad_norm": 0.8458234667778015, + "learning_rate": 2.852852852852853e-05, + "loss": 2.3452, + "step": 8575 + }, + { + "epoch": 0.858, + "grad_norm": 0.8528864979743958, + "learning_rate": 2.8428428428428428e-05, + "loss": 2.3343, + "step": 8580 + }, + { + "epoch": 0.8585, + "grad_norm": 0.8229609131813049, + "learning_rate": 2.832832832832833e-05, + "loss": 2.3349, + "step": 8585 + }, + { + "epoch": 0.859, + "grad_norm": 0.8314008712768555, + "learning_rate": 2.8228228228228232e-05, + "loss": 2.3489, + "step": 8590 + }, + { + "epoch": 0.8595, + "grad_norm": 0.8441357016563416, + "learning_rate": 2.812812812812813e-05, + "loss": 2.3424, + "step": 8595 + }, + { + "epoch": 0.86, + "grad_norm": 0.811282753944397, + "learning_rate": 2.8028028028028032e-05, + "loss": 2.3385, + "step": 8600 + }, + { + "epoch": 0.8605, + "grad_norm": 0.8737632036209106, + "learning_rate": 2.7927927927927926e-05, + "loss": 2.3374, + "step": 8605 + }, + { + "epoch": 0.861, + "grad_norm": 0.8345777988433838, + "learning_rate": 2.782782782782783e-05, + "loss": 2.3392, + "step": 8610 + }, + { + "epoch": 0.8615, + "grad_norm": 0.8158997297286987, + "learning_rate": 2.7727727727727733e-05, + "loss": 2.33, + "step": 8615 + }, + { + "epoch": 0.862, + "grad_norm": 0.8565182685852051, + "learning_rate": 2.762762762762763e-05, + "loss": 2.3582, + "step": 8620 + }, + { + "epoch": 0.8625, + "grad_norm": 0.8362213373184204, + "learning_rate": 2.752752752752753e-05, + "loss": 2.3434, + "step": 8625 + }, + { + "epoch": 0.863, + "grad_norm": 0.8124709725379944, + "learning_rate": 2.7427427427427426e-05, + "loss": 2.3546, + "step": 8630 + }, + { + "epoch": 0.8635, + "grad_norm": 0.8765237927436829, + "learning_rate": 2.732732732732733e-05, + "loss": 2.3503, + "step": 8635 + }, + { + "epoch": 0.864, + "grad_norm": 0.8562377095222473, + "learning_rate": 2.722722722722723e-05, + "loss": 2.3635, + "step": 8640 + }, + { + "epoch": 0.8645, + "grad_norm": 0.862598180770874, + "learning_rate": 2.7127127127127127e-05, + "loss": 2.3507, + "step": 8645 + }, + { + "epoch": 0.865, + "grad_norm": 0.8522788286209106, + "learning_rate": 2.702702702702703e-05, + "loss": 2.3443, + "step": 8650 + }, + { + "epoch": 0.8655, + "grad_norm": 0.8473895192146301, + "learning_rate": 2.6926926926926927e-05, + "loss": 2.3399, + "step": 8655 + }, + { + "epoch": 0.866, + "grad_norm": 0.8129273056983948, + "learning_rate": 2.6826826826826827e-05, + "loss": 2.3579, + "step": 8660 + }, + { + "epoch": 0.8665, + "grad_norm": 0.8594850897789001, + "learning_rate": 2.672672672672673e-05, + "loss": 2.3539, + "step": 8665 + }, + { + "epoch": 0.867, + "grad_norm": 0.831794798374176, + "learning_rate": 2.6626626626626627e-05, + "loss": 2.3342, + "step": 8670 + }, + { + "epoch": 0.8675, + "grad_norm": 0.8447133302688599, + "learning_rate": 2.652652652652653e-05, + "loss": 2.3403, + "step": 8675 + }, + { + "epoch": 0.868, + "grad_norm": 0.8298300504684448, + "learning_rate": 2.6426426426426428e-05, + "loss": 2.3362, + "step": 8680 + }, + { + "epoch": 0.8685, + "grad_norm": 0.8596557974815369, + "learning_rate": 2.6326326326326328e-05, + "loss": 2.3545, + "step": 8685 + }, + { + "epoch": 0.869, + "grad_norm": 0.8677126169204712, + "learning_rate": 2.6226226226226224e-05, + "loss": 2.3624, + "step": 8690 + }, + { + "epoch": 0.8695, + "grad_norm": 0.8112132549285889, + "learning_rate": 2.6126126126126128e-05, + "loss": 2.3345, + "step": 8695 + }, + { + "epoch": 0.87, + "grad_norm": 0.87315833568573, + "learning_rate": 2.6026026026026028e-05, + "loss": 2.3319, + "step": 8700 + }, + { + "epoch": 0.8705, + "grad_norm": 0.864588737487793, + "learning_rate": 2.5925925925925925e-05, + "loss": 2.3356, + "step": 8705 + }, + { + "epoch": 0.871, + "grad_norm": 0.8347481489181519, + "learning_rate": 2.582582582582583e-05, + "loss": 2.32, + "step": 8710 + }, + { + "epoch": 0.8715, + "grad_norm": 0.8150578141212463, + "learning_rate": 2.5725725725725725e-05, + "loss": 2.3403, + "step": 8715 + }, + { + "epoch": 0.872, + "grad_norm": 0.8222635388374329, + "learning_rate": 2.5625625625625625e-05, + "loss": 2.3328, + "step": 8720 + }, + { + "epoch": 0.8725, + "grad_norm": 0.8109158277511597, + "learning_rate": 2.552552552552553e-05, + "loss": 2.3558, + "step": 8725 + }, + { + "epoch": 0.873, + "grad_norm": 0.8342311382293701, + "learning_rate": 2.5425425425425426e-05, + "loss": 2.337, + "step": 8730 + }, + { + "epoch": 0.8735, + "grad_norm": 0.8757238388061523, + "learning_rate": 2.532532532532533e-05, + "loss": 2.3525, + "step": 8735 + }, + { + "epoch": 0.874, + "grad_norm": 0.822337806224823, + "learning_rate": 2.5225225225225222e-05, + "loss": 2.3324, + "step": 8740 + }, + { + "epoch": 0.8745, + "grad_norm": 0.7943927645683289, + "learning_rate": 2.5125125125125126e-05, + "loss": 2.3521, + "step": 8745 + }, + { + "epoch": 0.875, + "grad_norm": 0.8191083073616028, + "learning_rate": 2.502502502502503e-05, + "loss": 2.3585, + "step": 8750 + }, + { + "epoch": 0.8755, + "grad_norm": 0.8550540208816528, + "learning_rate": 2.4924924924924926e-05, + "loss": 2.3426, + "step": 8755 + }, + { + "epoch": 0.876, + "grad_norm": 0.8050912618637085, + "learning_rate": 2.4824824824824826e-05, + "loss": 2.3643, + "step": 8760 + }, + { + "epoch": 0.8765, + "grad_norm": 0.8559862971305847, + "learning_rate": 2.4724724724724727e-05, + "loss": 2.3606, + "step": 8765 + }, + { + "epoch": 0.877, + "grad_norm": 0.8613905310630798, + "learning_rate": 2.4624624624624627e-05, + "loss": 2.3494, + "step": 8770 + }, + { + "epoch": 0.8775, + "grad_norm": 0.8286505937576294, + "learning_rate": 2.4524524524524527e-05, + "loss": 2.3506, + "step": 8775 + }, + { + "epoch": 0.878, + "grad_norm": 0.8565585613250732, + "learning_rate": 2.4424424424424424e-05, + "loss": 2.3414, + "step": 8780 + }, + { + "epoch": 0.8785, + "grad_norm": 0.8649365305900574, + "learning_rate": 2.4324324324324327e-05, + "loss": 2.3748, + "step": 8785 + }, + { + "epoch": 0.879, + "grad_norm": 0.8483036756515503, + "learning_rate": 2.4224224224224227e-05, + "loss": 2.3398, + "step": 8790 + }, + { + "epoch": 0.8795, + "grad_norm": 0.7956961989402771, + "learning_rate": 2.4124124124124124e-05, + "loss": 2.3343, + "step": 8795 + }, + { + "epoch": 0.88, + "grad_norm": 0.841417670249939, + "learning_rate": 2.4024024024024024e-05, + "loss": 2.3344, + "step": 8800 + }, + { + "epoch": 0.8805, + "grad_norm": 0.8638480305671692, + "learning_rate": 2.3923923923923924e-05, + "loss": 2.3522, + "step": 8805 + }, + { + "epoch": 0.881, + "grad_norm": 0.8249894380569458, + "learning_rate": 2.3823823823823824e-05, + "loss": 2.3368, + "step": 8810 + }, + { + "epoch": 0.8815, + "grad_norm": 0.8154436945915222, + "learning_rate": 2.3723723723723725e-05, + "loss": 2.3265, + "step": 8815 + }, + { + "epoch": 0.882, + "grad_norm": 0.8674147725105286, + "learning_rate": 2.3623623623623625e-05, + "loss": 2.3581, + "step": 8820 + }, + { + "epoch": 0.8825, + "grad_norm": 0.8114337921142578, + "learning_rate": 2.3523523523523525e-05, + "loss": 2.3431, + "step": 8825 + }, + { + "epoch": 0.883, + "grad_norm": 0.8255671262741089, + "learning_rate": 2.3423423423423425e-05, + "loss": 2.3427, + "step": 8830 + }, + { + "epoch": 0.8835, + "grad_norm": 0.8699901700019836, + "learning_rate": 2.3323323323323322e-05, + "loss": 2.342, + "step": 8835 + }, + { + "epoch": 0.884, + "grad_norm": 0.8162307143211365, + "learning_rate": 2.3223223223223225e-05, + "loss": 2.3453, + "step": 8840 + }, + { + "epoch": 0.8845, + "grad_norm": 0.8098514676094055, + "learning_rate": 2.3123123123123125e-05, + "loss": 2.3313, + "step": 8845 + }, + { + "epoch": 0.885, + "grad_norm": 0.8761820793151855, + "learning_rate": 2.3023023023023026e-05, + "loss": 2.367, + "step": 8850 + }, + { + "epoch": 0.8855, + "grad_norm": 0.8436310887336731, + "learning_rate": 2.2922922922922922e-05, + "loss": 2.3561, + "step": 8855 + }, + { + "epoch": 0.886, + "grad_norm": 0.8526544570922852, + "learning_rate": 2.2822822822822822e-05, + "loss": 2.3259, + "step": 8860 + }, + { + "epoch": 0.8865, + "grad_norm": 0.8305936455726624, + "learning_rate": 2.2722722722722726e-05, + "loss": 2.3373, + "step": 8865 + }, + { + "epoch": 0.887, + "grad_norm": 0.9209138751029968, + "learning_rate": 2.2622622622622626e-05, + "loss": 2.3439, + "step": 8870 + }, + { + "epoch": 0.8875, + "grad_norm": 0.8664165735244751, + "learning_rate": 2.2522522522522523e-05, + "loss": 2.3355, + "step": 8875 + }, + { + "epoch": 0.888, + "grad_norm": 0.8305662870407104, + "learning_rate": 2.2422422422422423e-05, + "loss": 2.3497, + "step": 8880 + }, + { + "epoch": 0.8885, + "grad_norm": 0.8392084836959839, + "learning_rate": 2.2322322322322323e-05, + "loss": 2.3306, + "step": 8885 + }, + { + "epoch": 0.889, + "grad_norm": 0.8184075355529785, + "learning_rate": 2.2222222222222223e-05, + "loss": 2.3534, + "step": 8890 + }, + { + "epoch": 0.8895, + "grad_norm": 0.8275293111801147, + "learning_rate": 2.2122122122122123e-05, + "loss": 2.345, + "step": 8895 + }, + { + "epoch": 0.89, + "grad_norm": 0.8183415532112122, + "learning_rate": 2.2022022022022024e-05, + "loss": 2.3524, + "step": 8900 + }, + { + "epoch": 0.8905, + "grad_norm": 0.8345757126808167, + "learning_rate": 2.1921921921921924e-05, + "loss": 2.3222, + "step": 8905 + }, + { + "epoch": 0.891, + "grad_norm": 0.8104347586631775, + "learning_rate": 2.1821821821821824e-05, + "loss": 2.3391, + "step": 8910 + }, + { + "epoch": 0.8915, + "grad_norm": 0.81838458776474, + "learning_rate": 2.172172172172172e-05, + "loss": 2.365, + "step": 8915 + }, + { + "epoch": 0.892, + "grad_norm": 0.8337346911430359, + "learning_rate": 2.1621621621621624e-05, + "loss": 2.3428, + "step": 8920 + }, + { + "epoch": 0.8925, + "grad_norm": 0.8469566702842712, + "learning_rate": 2.1521521521521524e-05, + "loss": 2.3555, + "step": 8925 + }, + { + "epoch": 0.893, + "grad_norm": 0.8030543923377991, + "learning_rate": 2.142142142142142e-05, + "loss": 2.3126, + "step": 8930 + }, + { + "epoch": 0.8935, + "grad_norm": 0.837141752243042, + "learning_rate": 2.132132132132132e-05, + "loss": 2.319, + "step": 8935 + }, + { + "epoch": 0.894, + "grad_norm": 0.8511247634887695, + "learning_rate": 2.122122122122122e-05, + "loss": 2.3407, + "step": 8940 + }, + { + "epoch": 0.8945, + "grad_norm": 0.8452726006507874, + "learning_rate": 2.1121121121121125e-05, + "loss": 2.3483, + "step": 8945 + }, + { + "epoch": 0.895, + "grad_norm": 0.8432291746139526, + "learning_rate": 2.102102102102102e-05, + "loss": 2.3493, + "step": 8950 + }, + { + "epoch": 0.8955, + "grad_norm": 0.8280351161956787, + "learning_rate": 2.0920920920920922e-05, + "loss": 2.3346, + "step": 8955 + }, + { + "epoch": 0.896, + "grad_norm": 0.8203386664390564, + "learning_rate": 2.0820820820820822e-05, + "loss": 2.3467, + "step": 8960 + }, + { + "epoch": 0.8965, + "grad_norm": 0.8204079270362854, + "learning_rate": 2.0720720720720722e-05, + "loss": 2.356, + "step": 8965 + }, + { + "epoch": 0.897, + "grad_norm": 0.813487708568573, + "learning_rate": 2.062062062062062e-05, + "loss": 2.3215, + "step": 8970 + }, + { + "epoch": 0.8975, + "grad_norm": 0.8271229863166809, + "learning_rate": 2.0520520520520522e-05, + "loss": 2.3555, + "step": 8975 + }, + { + "epoch": 0.898, + "grad_norm": 0.8487913608551025, + "learning_rate": 2.0420420420420422e-05, + "loss": 2.3359, + "step": 8980 + }, + { + "epoch": 0.8985, + "grad_norm": 0.836768627166748, + "learning_rate": 2.0320320320320323e-05, + "loss": 2.3498, + "step": 8985 + }, + { + "epoch": 0.899, + "grad_norm": 0.8347607254981995, + "learning_rate": 2.022022022022022e-05, + "loss": 2.317, + "step": 8990 + }, + { + "epoch": 0.8995, + "grad_norm": 0.8265148401260376, + "learning_rate": 2.012012012012012e-05, + "loss": 2.3063, + "step": 8995 + }, + { + "epoch": 0.9, + "grad_norm": 0.8346414566040039, + "learning_rate": 2.0020020020020023e-05, + "loss": 2.3368, + "step": 9000 + }, + { + "epoch": 0.9005, + "grad_norm": 0.8407677412033081, + "learning_rate": 1.9919919919919923e-05, + "loss": 2.3595, + "step": 9005 + }, + { + "epoch": 0.901, + "grad_norm": 0.8652437925338745, + "learning_rate": 1.981981981981982e-05, + "loss": 2.3462, + "step": 9010 + }, + { + "epoch": 0.9015, + "grad_norm": 0.851755678653717, + "learning_rate": 1.971971971971972e-05, + "loss": 2.343, + "step": 9015 + }, + { + "epoch": 0.902, + "grad_norm": 0.844289243221283, + "learning_rate": 1.961961961961962e-05, + "loss": 2.3494, + "step": 9020 + }, + { + "epoch": 0.9025, + "grad_norm": 0.8320977687835693, + "learning_rate": 1.951951951951952e-05, + "loss": 2.3311, + "step": 9025 + }, + { + "epoch": 0.903, + "grad_norm": 0.8191105127334595, + "learning_rate": 1.941941941941942e-05, + "loss": 2.3323, + "step": 9030 + }, + { + "epoch": 0.9035, + "grad_norm": 0.8393972516059875, + "learning_rate": 1.931931931931932e-05, + "loss": 2.3409, + "step": 9035 + }, + { + "epoch": 0.904, + "grad_norm": 0.8605306148529053, + "learning_rate": 1.921921921921922e-05, + "loss": 2.3294, + "step": 9040 + }, + { + "epoch": 0.9045, + "grad_norm": 0.8271490335464478, + "learning_rate": 1.911911911911912e-05, + "loss": 2.3292, + "step": 9045 + }, + { + "epoch": 0.905, + "grad_norm": 0.8311194777488708, + "learning_rate": 1.9019019019019018e-05, + "loss": 2.3573, + "step": 9050 + }, + { + "epoch": 0.9055, + "grad_norm": 0.8212003111839294, + "learning_rate": 1.891891891891892e-05, + "loss": 2.3319, + "step": 9055 + }, + { + "epoch": 0.906, + "grad_norm": 0.8189734816551208, + "learning_rate": 1.881881881881882e-05, + "loss": 2.3408, + "step": 9060 + }, + { + "epoch": 0.9065, + "grad_norm": 0.8122197389602661, + "learning_rate": 1.8718718718718718e-05, + "loss": 2.3191, + "step": 9065 + }, + { + "epoch": 0.907, + "grad_norm": 0.8065931797027588, + "learning_rate": 1.8618618618618618e-05, + "loss": 2.3578, + "step": 9070 + }, + { + "epoch": 0.9075, + "grad_norm": 0.8327513337135315, + "learning_rate": 1.8518518518518518e-05, + "loss": 2.3714, + "step": 9075 + }, + { + "epoch": 0.908, + "grad_norm": 0.9134345650672913, + "learning_rate": 1.8418418418418422e-05, + "loss": 2.3476, + "step": 9080 + }, + { + "epoch": 0.9085, + "grad_norm": 0.8555792570114136, + "learning_rate": 1.831831831831832e-05, + "loss": 2.3617, + "step": 9085 + }, + { + "epoch": 0.909, + "grad_norm": 0.839600682258606, + "learning_rate": 1.821821821821822e-05, + "loss": 2.3562, + "step": 9090 + }, + { + "epoch": 0.9095, + "grad_norm": 0.8846326470375061, + "learning_rate": 1.811811811811812e-05, + "loss": 2.3693, + "step": 9095 + }, + { + "epoch": 0.91, + "grad_norm": 0.8199856281280518, + "learning_rate": 1.801801801801802e-05, + "loss": 2.3427, + "step": 9100 + }, + { + "epoch": 0.9105, + "grad_norm": 0.8347171545028687, + "learning_rate": 1.7917917917917916e-05, + "loss": 2.3227, + "step": 9105 + }, + { + "epoch": 0.911, + "grad_norm": 0.8130427002906799, + "learning_rate": 1.781781781781782e-05, + "loss": 2.3661, + "step": 9110 + }, + { + "epoch": 0.9115, + "grad_norm": 0.8870020508766174, + "learning_rate": 1.771771771771772e-05, + "loss": 2.3422, + "step": 9115 + }, + { + "epoch": 0.912, + "grad_norm": 0.8388358354568481, + "learning_rate": 1.761761761761762e-05, + "loss": 2.3496, + "step": 9120 + }, + { + "epoch": 0.9125, + "grad_norm": 0.8320288062095642, + "learning_rate": 1.7517517517517516e-05, + "loss": 2.347, + "step": 9125 + }, + { + "epoch": 0.913, + "grad_norm": 0.8106929659843445, + "learning_rate": 1.7417417417417416e-05, + "loss": 2.3521, + "step": 9130 + }, + { + "epoch": 0.9135, + "grad_norm": 0.8142067790031433, + "learning_rate": 1.731731731731732e-05, + "loss": 2.3487, + "step": 9135 + }, + { + "epoch": 0.914, + "grad_norm": 0.8240883350372314, + "learning_rate": 1.721721721721722e-05, + "loss": 2.3328, + "step": 9140 + }, + { + "epoch": 0.9145, + "grad_norm": 0.8195868730545044, + "learning_rate": 1.7117117117117117e-05, + "loss": 2.3483, + "step": 9145 + }, + { + "epoch": 0.915, + "grad_norm": 0.847511887550354, + "learning_rate": 1.7017017017017017e-05, + "loss": 2.3457, + "step": 9150 + }, + { + "epoch": 0.9155, + "grad_norm": 0.8567244410514832, + "learning_rate": 1.6916916916916917e-05, + "loss": 2.3464, + "step": 9155 + }, + { + "epoch": 0.916, + "grad_norm": 0.8341563940048218, + "learning_rate": 1.6816816816816817e-05, + "loss": 2.3438, + "step": 9160 + }, + { + "epoch": 0.9165, + "grad_norm": 0.8154423236846924, + "learning_rate": 1.6716716716716717e-05, + "loss": 2.348, + "step": 9165 + }, + { + "epoch": 0.917, + "grad_norm": 0.7971596717834473, + "learning_rate": 1.6616616616616618e-05, + "loss": 2.3397, + "step": 9170 + }, + { + "epoch": 0.9175, + "grad_norm": 0.8392190337181091, + "learning_rate": 1.6516516516516518e-05, + "loss": 2.3508, + "step": 9175 + }, + { + "epoch": 0.918, + "grad_norm": 0.8365655541419983, + "learning_rate": 1.6416416416416418e-05, + "loss": 2.352, + "step": 9180 + }, + { + "epoch": 0.9185, + "grad_norm": 0.8264891505241394, + "learning_rate": 1.6316316316316315e-05, + "loss": 2.3542, + "step": 9185 + }, + { + "epoch": 0.919, + "grad_norm": 0.810056746006012, + "learning_rate": 1.6216216216216218e-05, + "loss": 2.2953, + "step": 9190 + }, + { + "epoch": 0.9195, + "grad_norm": 0.850010097026825, + "learning_rate": 1.6116116116116118e-05, + "loss": 2.3608, + "step": 9195 + }, + { + "epoch": 0.92, + "grad_norm": 0.8388724327087402, + "learning_rate": 1.6016016016016015e-05, + "loss": 2.3332, + "step": 9200 + }, + { + "epoch": 0.9205, + "grad_norm": 0.814441442489624, + "learning_rate": 1.5915915915915915e-05, + "loss": 2.3209, + "step": 9205 + }, + { + "epoch": 0.921, + "grad_norm": 0.8317567706108093, + "learning_rate": 1.5815815815815815e-05, + "loss": 2.367, + "step": 9210 + }, + { + "epoch": 0.9215, + "grad_norm": 0.806183934211731, + "learning_rate": 1.571571571571572e-05, + "loss": 2.3551, + "step": 9215 + }, + { + "epoch": 0.922, + "grad_norm": 0.7914506793022156, + "learning_rate": 1.5615615615615616e-05, + "loss": 2.3316, + "step": 9220 + }, + { + "epoch": 0.9225, + "grad_norm": 0.8459283709526062, + "learning_rate": 1.5515515515515516e-05, + "loss": 2.348, + "step": 9225 + }, + { + "epoch": 0.923, + "grad_norm": 0.8252323269844055, + "learning_rate": 1.5415415415415416e-05, + "loss": 2.3233, + "step": 9230 + }, + { + "epoch": 0.9235, + "grad_norm": 0.8866086006164551, + "learning_rate": 1.5315315315315316e-05, + "loss": 2.3458, + "step": 9235 + }, + { + "epoch": 0.924, + "grad_norm": 0.8268254399299622, + "learning_rate": 1.5215215215215218e-05, + "loss": 2.3363, + "step": 9240 + }, + { + "epoch": 0.9245, + "grad_norm": 0.8354853391647339, + "learning_rate": 1.5115115115115116e-05, + "loss": 2.3398, + "step": 9245 + }, + { + "epoch": 0.925, + "grad_norm": 0.851127028465271, + "learning_rate": 1.5015015015015016e-05, + "loss": 2.3592, + "step": 9250 + }, + { + "epoch": 0.9255, + "grad_norm": 0.8615062236785889, + "learning_rate": 1.4914914914914915e-05, + "loss": 2.3281, + "step": 9255 + }, + { + "epoch": 0.926, + "grad_norm": 0.8572158813476562, + "learning_rate": 1.4814814814814815e-05, + "loss": 2.3355, + "step": 9260 + }, + { + "epoch": 0.9265, + "grad_norm": 0.8364690542221069, + "learning_rate": 1.4714714714714713e-05, + "loss": 2.3378, + "step": 9265 + }, + { + "epoch": 0.927, + "grad_norm": 0.8171463012695312, + "learning_rate": 1.4614614614614617e-05, + "loss": 2.3292, + "step": 9270 + }, + { + "epoch": 0.9275, + "grad_norm": 0.8491124510765076, + "learning_rate": 1.4514514514514515e-05, + "loss": 2.3279, + "step": 9275 + }, + { + "epoch": 0.928, + "grad_norm": 0.9891765117645264, + "learning_rate": 1.4414414414414416e-05, + "loss": 2.361, + "step": 9280 + }, + { + "epoch": 0.9285, + "grad_norm": 0.8450509905815125, + "learning_rate": 1.4314314314314314e-05, + "loss": 2.3326, + "step": 9285 + }, + { + "epoch": 0.929, + "grad_norm": 0.8077675700187683, + "learning_rate": 1.4214214214214214e-05, + "loss": 2.3386, + "step": 9290 + }, + { + "epoch": 0.9295, + "grad_norm": 0.8057301640510559, + "learning_rate": 1.4114114114114116e-05, + "loss": 2.3447, + "step": 9295 + }, + { + "epoch": 0.93, + "grad_norm": 0.8298118114471436, + "learning_rate": 1.4014014014014016e-05, + "loss": 2.3597, + "step": 9300 + }, + { + "epoch": 0.9305, + "grad_norm": 0.8423778414726257, + "learning_rate": 1.3913913913913915e-05, + "loss": 2.3413, + "step": 9305 + }, + { + "epoch": 0.931, + "grad_norm": 0.8156774044036865, + "learning_rate": 1.3813813813813815e-05, + "loss": 2.3265, + "step": 9310 + }, + { + "epoch": 0.9315, + "grad_norm": 0.8573948740959167, + "learning_rate": 1.3713713713713713e-05, + "loss": 2.3454, + "step": 9315 + }, + { + "epoch": 0.932, + "grad_norm": 0.8804399371147156, + "learning_rate": 1.3613613613613615e-05, + "loss": 2.3403, + "step": 9320 + }, + { + "epoch": 0.9325, + "grad_norm": 0.8353649377822876, + "learning_rate": 1.3513513513513515e-05, + "loss": 2.3485, + "step": 9325 + }, + { + "epoch": 0.933, + "grad_norm": 0.846034824848175, + "learning_rate": 1.3413413413413414e-05, + "loss": 2.3512, + "step": 9330 + }, + { + "epoch": 0.9335, + "grad_norm": 0.8679665327072144, + "learning_rate": 1.3313313313313314e-05, + "loss": 2.3391, + "step": 9335 + }, + { + "epoch": 0.934, + "grad_norm": 0.8045667409896851, + "learning_rate": 1.3213213213213214e-05, + "loss": 2.3444, + "step": 9340 + }, + { + "epoch": 0.9345, + "grad_norm": 0.8405826687812805, + "learning_rate": 1.3113113113113112e-05, + "loss": 2.3435, + "step": 9345 + }, + { + "epoch": 0.935, + "grad_norm": 0.8193458914756775, + "learning_rate": 1.3013013013013014e-05, + "loss": 2.3224, + "step": 9350 + }, + { + "epoch": 0.9355, + "grad_norm": 0.8291559815406799, + "learning_rate": 1.2912912912912914e-05, + "loss": 2.3303, + "step": 9355 + }, + { + "epoch": 0.936, + "grad_norm": 0.8167839646339417, + "learning_rate": 1.2812812812812813e-05, + "loss": 2.3534, + "step": 9360 + }, + { + "epoch": 0.9365, + "grad_norm": 0.8425468802452087, + "learning_rate": 1.2712712712712713e-05, + "loss": 2.34, + "step": 9365 + }, + { + "epoch": 0.937, + "grad_norm": 0.8351952433586121, + "learning_rate": 1.2612612612612611e-05, + "loss": 2.3526, + "step": 9370 + }, + { + "epoch": 0.9375, + "grad_norm": 0.8092942237854004, + "learning_rate": 1.2512512512512515e-05, + "loss": 2.3304, + "step": 9375 + }, + { + "epoch": 0.938, + "grad_norm": 0.8376879692077637, + "learning_rate": 1.2412412412412413e-05, + "loss": 2.3527, + "step": 9380 + }, + { + "epoch": 0.9385, + "grad_norm": 0.8303145170211792, + "learning_rate": 1.2312312312312313e-05, + "loss": 2.3195, + "step": 9385 + }, + { + "epoch": 0.939, + "grad_norm": 0.8191754817962646, + "learning_rate": 1.2212212212212212e-05, + "loss": 2.3222, + "step": 9390 + }, + { + "epoch": 0.9395, + "grad_norm": 0.8104075193405151, + "learning_rate": 1.2112112112112114e-05, + "loss": 2.3402, + "step": 9395 + }, + { + "epoch": 0.94, + "grad_norm": 0.8076393008232117, + "learning_rate": 1.2012012012012012e-05, + "loss": 2.3364, + "step": 9400 + }, + { + "epoch": 0.9405, + "grad_norm": 0.8219597935676575, + "learning_rate": 1.1911911911911912e-05, + "loss": 2.345, + "step": 9405 + }, + { + "epoch": 0.941, + "grad_norm": 0.8121560215950012, + "learning_rate": 1.1811811811811812e-05, + "loss": 2.3112, + "step": 9410 + }, + { + "epoch": 0.9415, + "grad_norm": 0.8694724440574646, + "learning_rate": 1.1711711711711713e-05, + "loss": 2.3605, + "step": 9415 + }, + { + "epoch": 0.942, + "grad_norm": 0.8347329497337341, + "learning_rate": 1.1611611611611613e-05, + "loss": 2.3182, + "step": 9420 + }, + { + "epoch": 0.9425, + "grad_norm": 0.8236081600189209, + "learning_rate": 1.1511511511511513e-05, + "loss": 2.3468, + "step": 9425 + }, + { + "epoch": 0.943, + "grad_norm": 0.8303726315498352, + "learning_rate": 1.1411411411411411e-05, + "loss": 2.3423, + "step": 9430 + }, + { + "epoch": 0.9435, + "grad_norm": 0.8322924971580505, + "learning_rate": 1.1311311311311313e-05, + "loss": 2.3514, + "step": 9435 + }, + { + "epoch": 0.944, + "grad_norm": 0.8485186100006104, + "learning_rate": 1.1211211211211212e-05, + "loss": 2.3361, + "step": 9440 + }, + { + "epoch": 0.9445, + "grad_norm": 0.8518514633178711, + "learning_rate": 1.1111111111111112e-05, + "loss": 2.348, + "step": 9445 + }, + { + "epoch": 0.945, + "grad_norm": 0.8338407278060913, + "learning_rate": 1.1011011011011012e-05, + "loss": 2.3402, + "step": 9450 + }, + { + "epoch": 0.9455, + "grad_norm": 0.8358404636383057, + "learning_rate": 1.0910910910910912e-05, + "loss": 2.3403, + "step": 9455 + }, + { + "epoch": 0.946, + "grad_norm": 0.8189331293106079, + "learning_rate": 1.0810810810810812e-05, + "loss": 2.3367, + "step": 9460 + }, + { + "epoch": 0.9465, + "grad_norm": 0.8365352749824524, + "learning_rate": 1.071071071071071e-05, + "loss": 2.3441, + "step": 9465 + }, + { + "epoch": 0.947, + "grad_norm": 0.8106439709663391, + "learning_rate": 1.061061061061061e-05, + "loss": 2.3496, + "step": 9470 + }, + { + "epoch": 0.9475, + "grad_norm": 0.8290128707885742, + "learning_rate": 1.051051051051051e-05, + "loss": 2.3161, + "step": 9475 + }, + { + "epoch": 0.948, + "grad_norm": 0.8077024221420288, + "learning_rate": 1.0410410410410411e-05, + "loss": 2.3411, + "step": 9480 + }, + { + "epoch": 0.9485, + "grad_norm": 0.838545024394989, + "learning_rate": 1.031031031031031e-05, + "loss": 2.3505, + "step": 9485 + }, + { + "epoch": 0.949, + "grad_norm": 0.8450316190719604, + "learning_rate": 1.0210210210210211e-05, + "loss": 2.3318, + "step": 9490 + }, + { + "epoch": 0.9495, + "grad_norm": 0.8616166710853577, + "learning_rate": 1.011011011011011e-05, + "loss": 2.3206, + "step": 9495 + }, + { + "epoch": 0.95, + "grad_norm": 0.8224554657936096, + "learning_rate": 1.0010010010010011e-05, + "loss": 2.3164, + "step": 9500 + }, + { + "epoch": 0.9505, + "grad_norm": 0.8563039898872375, + "learning_rate": 9.90990990990991e-06, + "loss": 2.3529, + "step": 9505 + }, + { + "epoch": 0.951, + "grad_norm": 0.8293529748916626, + "learning_rate": 9.80980980980981e-06, + "loss": 2.3583, + "step": 9510 + }, + { + "epoch": 0.9515, + "grad_norm": 0.8387513160705566, + "learning_rate": 9.70970970970971e-06, + "loss": 2.3161, + "step": 9515 + }, + { + "epoch": 0.952, + "grad_norm": 0.834874153137207, + "learning_rate": 9.60960960960961e-06, + "loss": 2.3416, + "step": 9520 + }, + { + "epoch": 0.9525, + "grad_norm": 0.8364129066467285, + "learning_rate": 9.509509509509509e-06, + "loss": 2.3284, + "step": 9525 + }, + { + "epoch": 0.953, + "grad_norm": 0.8416669368743896, + "learning_rate": 9.40940940940941e-06, + "loss": 2.3454, + "step": 9530 + }, + { + "epoch": 0.9535, + "grad_norm": 0.8180063962936401, + "learning_rate": 9.309309309309309e-06, + "loss": 2.3561, + "step": 9535 + }, + { + "epoch": 0.954, + "grad_norm": 0.8143042325973511, + "learning_rate": 9.209209209209211e-06, + "loss": 2.3251, + "step": 9540 + }, + { + "epoch": 0.9545, + "grad_norm": 0.813728392124176, + "learning_rate": 9.10910910910911e-06, + "loss": 2.3326, + "step": 9545 + }, + { + "epoch": 0.955, + "grad_norm": 0.8583104014396667, + "learning_rate": 9.00900900900901e-06, + "loss": 2.3532, + "step": 9550 + }, + { + "epoch": 0.9555, + "grad_norm": 0.8487512469291687, + "learning_rate": 8.90890890890891e-06, + "loss": 2.3126, + "step": 9555 + }, + { + "epoch": 0.956, + "grad_norm": 0.8339818716049194, + "learning_rate": 8.80880880880881e-06, + "loss": 2.3345, + "step": 9560 + }, + { + "epoch": 0.9565, + "grad_norm": 0.834420382976532, + "learning_rate": 8.708708708708708e-06, + "loss": 2.3485, + "step": 9565 + }, + { + "epoch": 0.957, + "grad_norm": 0.859883725643158, + "learning_rate": 8.60860860860861e-06, + "loss": 2.3398, + "step": 9570 + }, + { + "epoch": 0.9575, + "grad_norm": 0.8119943141937256, + "learning_rate": 8.508508508508508e-06, + "loss": 2.3428, + "step": 9575 + }, + { + "epoch": 0.958, + "grad_norm": 0.8337917923927307, + "learning_rate": 8.408408408408409e-06, + "loss": 2.3165, + "step": 9580 + }, + { + "epoch": 0.9585, + "grad_norm": 0.8146688342094421, + "learning_rate": 8.308308308308309e-06, + "loss": 2.3449, + "step": 9585 + }, + { + "epoch": 0.959, + "grad_norm": 0.8490365147590637, + "learning_rate": 8.208208208208209e-06, + "loss": 2.3161, + "step": 9590 + }, + { + "epoch": 0.9595, + "grad_norm": 0.8450210094451904, + "learning_rate": 8.108108108108109e-06, + "loss": 2.3502, + "step": 9595 + }, + { + "epoch": 0.96, + "grad_norm": 0.8308297395706177, + "learning_rate": 8.008008008008007e-06, + "loss": 2.3125, + "step": 9600 + }, + { + "epoch": 0.9605, + "grad_norm": 0.8298580646514893, + "learning_rate": 7.907907907907908e-06, + "loss": 2.3375, + "step": 9605 + }, + { + "epoch": 0.961, + "grad_norm": 0.8202354311943054, + "learning_rate": 7.807807807807808e-06, + "loss": 2.3066, + "step": 9610 + }, + { + "epoch": 0.9615, + "grad_norm": 0.8283280730247498, + "learning_rate": 7.707707707707708e-06, + "loss": 2.3429, + "step": 9615 + }, + { + "epoch": 0.962, + "grad_norm": 0.8393738269805908, + "learning_rate": 7.607607607607609e-06, + "loss": 2.313, + "step": 9620 + }, + { + "epoch": 0.9625, + "grad_norm": 0.8319004774093628, + "learning_rate": 7.507507507507508e-06, + "loss": 2.3631, + "step": 9625 + }, + { + "epoch": 0.963, + "grad_norm": 0.8432734608650208, + "learning_rate": 7.4074074074074075e-06, + "loss": 2.3278, + "step": 9630 + }, + { + "epoch": 0.9635, + "grad_norm": 0.8351683020591736, + "learning_rate": 7.3073073073073085e-06, + "loss": 2.3359, + "step": 9635 + }, + { + "epoch": 0.964, + "grad_norm": 0.834241509437561, + "learning_rate": 7.207207207207208e-06, + "loss": 2.3358, + "step": 9640 + }, + { + "epoch": 0.9645, + "grad_norm": 0.8175002336502075, + "learning_rate": 7.107107107107107e-06, + "loss": 2.3433, + "step": 9645 + }, + { + "epoch": 0.965, + "grad_norm": 0.8678650856018066, + "learning_rate": 7.007007007007008e-06, + "loss": 2.3168, + "step": 9650 + }, + { + "epoch": 0.9655, + "grad_norm": 0.8319632411003113, + "learning_rate": 6.906906906906907e-06, + "loss": 2.3416, + "step": 9655 + }, + { + "epoch": 0.966, + "grad_norm": 0.8304513692855835, + "learning_rate": 6.8068068068068075e-06, + "loss": 2.3282, + "step": 9660 + }, + { + "epoch": 0.9665, + "grad_norm": 0.8106830716133118, + "learning_rate": 6.706706706706707e-06, + "loss": 2.31, + "step": 9665 + }, + { + "epoch": 0.967, + "grad_norm": 0.8108156323432922, + "learning_rate": 6.606606606606607e-06, + "loss": 2.3242, + "step": 9670 + }, + { + "epoch": 0.9675, + "grad_norm": 0.8338386416435242, + "learning_rate": 6.506506506506507e-06, + "loss": 2.3225, + "step": 9675 + }, + { + "epoch": 0.968, + "grad_norm": 0.8349241614341736, + "learning_rate": 6.406406406406406e-06, + "loss": 2.3267, + "step": 9680 + }, + { + "epoch": 0.9685, + "grad_norm": 0.8335773348808289, + "learning_rate": 6.306306306306306e-06, + "loss": 2.3355, + "step": 9685 + }, + { + "epoch": 0.969, + "grad_norm": 0.8067938089370728, + "learning_rate": 6.206206206206207e-06, + "loss": 2.3324, + "step": 9690 + }, + { + "epoch": 0.9695, + "grad_norm": 0.8177109360694885, + "learning_rate": 6.106106106106106e-06, + "loss": 2.3529, + "step": 9695 + }, + { + "epoch": 0.97, + "grad_norm": 0.8041896820068359, + "learning_rate": 6.006006006006006e-06, + "loss": 2.3179, + "step": 9700 + }, + { + "epoch": 0.9705, + "grad_norm": 0.818508505821228, + "learning_rate": 5.905905905905906e-06, + "loss": 2.3355, + "step": 9705 + }, + { + "epoch": 0.971, + "grad_norm": 0.8300430178642273, + "learning_rate": 5.805805805805806e-06, + "loss": 2.3316, + "step": 9710 + }, + { + "epoch": 0.9715, + "grad_norm": 0.8161868453025818, + "learning_rate": 5.705705705705706e-06, + "loss": 2.3282, + "step": 9715 + }, + { + "epoch": 0.972, + "grad_norm": 0.8113592267036438, + "learning_rate": 5.605605605605606e-06, + "loss": 2.3524, + "step": 9720 + }, + { + "epoch": 0.9725, + "grad_norm": 0.8195970058441162, + "learning_rate": 5.505505505505506e-06, + "loss": 2.321, + "step": 9725 + }, + { + "epoch": 0.973, + "grad_norm": 0.8336008191108704, + "learning_rate": 5.405405405405406e-06, + "loss": 2.3283, + "step": 9730 + }, + { + "epoch": 0.9735, + "grad_norm": 0.8411681056022644, + "learning_rate": 5.305305305305305e-06, + "loss": 2.3252, + "step": 9735 + }, + { + "epoch": 0.974, + "grad_norm": 0.8225618600845337, + "learning_rate": 5.2052052052052055e-06, + "loss": 2.3188, + "step": 9740 + }, + { + "epoch": 0.9745, + "grad_norm": 0.8509226441383362, + "learning_rate": 5.105105105105106e-06, + "loss": 2.3575, + "step": 9745 + }, + { + "epoch": 0.975, + "grad_norm": 0.8630853891372681, + "learning_rate": 5.005005005005006e-06, + "loss": 2.324, + "step": 9750 + }, + { + "epoch": 0.9755, + "grad_norm": 0.8567425608634949, + "learning_rate": 4.904904904904905e-06, + "loss": 2.3474, + "step": 9755 + }, + { + "epoch": 0.976, + "grad_norm": 0.8153373003005981, + "learning_rate": 4.804804804804805e-06, + "loss": 2.3445, + "step": 9760 + }, + { + "epoch": 0.9765, + "grad_norm": 0.8349518775939941, + "learning_rate": 4.704704704704705e-06, + "loss": 2.3057, + "step": 9765 + }, + { + "epoch": 0.977, + "grad_norm": 0.8440520167350769, + "learning_rate": 4.6046046046046055e-06, + "loss": 2.3208, + "step": 9770 + }, + { + "epoch": 0.9775, + "grad_norm": 0.8132700324058533, + "learning_rate": 4.504504504504505e-06, + "loss": 2.3367, + "step": 9775 + }, + { + "epoch": 0.978, + "grad_norm": 0.8062158226966858, + "learning_rate": 4.404404404404405e-06, + "loss": 2.312, + "step": 9780 + }, + { + "epoch": 0.9785, + "grad_norm": 0.848967969417572, + "learning_rate": 4.304304304304305e-06, + "loss": 2.3526, + "step": 9785 + }, + { + "epoch": 0.979, + "grad_norm": 0.8730021119117737, + "learning_rate": 4.204204204204204e-06, + "loss": 2.357, + "step": 9790 + }, + { + "epoch": 0.9795, + "grad_norm": 0.8056657910346985, + "learning_rate": 4.1041041041041045e-06, + "loss": 2.3621, + "step": 9795 + }, + { + "epoch": 0.98, + "grad_norm": 0.8473744988441467, + "learning_rate": 4.004004004004004e-06, + "loss": 2.335, + "step": 9800 + }, + { + "epoch": 0.9805, + "grad_norm": 0.8399832248687744, + "learning_rate": 3.903903903903904e-06, + "loss": 2.3334, + "step": 9805 + }, + { + "epoch": 0.981, + "grad_norm": 0.8139746785163879, + "learning_rate": 3.8038038038038044e-06, + "loss": 2.335, + "step": 9810 + }, + { + "epoch": 0.9815, + "grad_norm": 0.8043482899665833, + "learning_rate": 3.7037037037037037e-06, + "loss": 2.3141, + "step": 9815 + }, + { + "epoch": 0.982, + "grad_norm": 0.8388903737068176, + "learning_rate": 3.603603603603604e-06, + "loss": 2.3364, + "step": 9820 + }, + { + "epoch": 0.9825, + "grad_norm": 0.8074804544448853, + "learning_rate": 3.503503503503504e-06, + "loss": 2.3478, + "step": 9825 + }, + { + "epoch": 0.983, + "grad_norm": 0.8122521638870239, + "learning_rate": 3.4034034034034037e-06, + "loss": 2.3184, + "step": 9830 + }, + { + "epoch": 0.9835, + "grad_norm": 0.8089945912361145, + "learning_rate": 3.3033033033033035e-06, + "loss": 2.3368, + "step": 9835 + }, + { + "epoch": 0.984, + "grad_norm": 0.8560210466384888, + "learning_rate": 3.203203203203203e-06, + "loss": 2.3264, + "step": 9840 + }, + { + "epoch": 0.9845, + "grad_norm": 0.8315675258636475, + "learning_rate": 3.1031031031031033e-06, + "loss": 2.3474, + "step": 9845 + }, + { + "epoch": 0.985, + "grad_norm": 0.8220996856689453, + "learning_rate": 3.003003003003003e-06, + "loss": 2.3311, + "step": 9850 + }, + { + "epoch": 0.9855, + "grad_norm": 0.8553528785705566, + "learning_rate": 2.902902902902903e-06, + "loss": 2.3331, + "step": 9855 + }, + { + "epoch": 0.986, + "grad_norm": 0.8232652544975281, + "learning_rate": 2.802802802802803e-06, + "loss": 2.3272, + "step": 9860 + }, + { + "epoch": 0.9865, + "grad_norm": 0.8154972791671753, + "learning_rate": 2.702702702702703e-06, + "loss": 2.33, + "step": 9865 + }, + { + "epoch": 0.987, + "grad_norm": 0.7969358563423157, + "learning_rate": 2.6026026026026027e-06, + "loss": 2.3226, + "step": 9870 + }, + { + "epoch": 0.9875, + "grad_norm": 0.8221673965454102, + "learning_rate": 2.502502502502503e-06, + "loss": 2.3385, + "step": 9875 + }, + { + "epoch": 0.988, + "grad_norm": 0.8291456699371338, + "learning_rate": 2.4024024024024026e-06, + "loss": 2.3434, + "step": 9880 + }, + { + "epoch": 0.9885, + "grad_norm": 0.7976441383361816, + "learning_rate": 2.3023023023023027e-06, + "loss": 2.3119, + "step": 9885 + }, + { + "epoch": 0.989, + "grad_norm": 0.8049326539039612, + "learning_rate": 2.2022022022022024e-06, + "loss": 2.3409, + "step": 9890 + }, + { + "epoch": 0.9895, + "grad_norm": 0.8277580142021179, + "learning_rate": 2.102102102102102e-06, + "loss": 2.3349, + "step": 9895 + }, + { + "epoch": 0.99, + "grad_norm": 0.8092420101165771, + "learning_rate": 2.002002002002002e-06, + "loss": 2.3369, + "step": 9900 + } + ], + "logging_steps": 5, + "max_steps": 10000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 8169853236019200.0, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +} diff --git a/tiny_llm_pretrain/checkpoint-9900/training_args.bin b/tiny_llm_pretrain/checkpoint-9900/training_args.bin new file mode 100644 index 0000000..7eb013d --- /dev/null +++ b/tiny_llm_pretrain/checkpoint-9900/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3094fcb2cbf0c2dbb4dd559e2ad79c9e24d99aeecd652bbb12aa828bc03d3da2 +size 5713 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..a34b5a5 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,951 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "<|im_start|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "<|im_end|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + "post_processor": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": false, + "use_regex": true + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "ignore_merges": false, + "vocab": { + "<|endoftext|>": 0, + "<|im_start|>": 1, + "<|im_end|>": 2, + "!": 3, + "\"": 4, + "#": 5, + "$": 6, + "%": 7, + "&": 8, + "'": 9, + "(": 10, + ")": 11, + "*": 12, + "+": 13, + ",": 14, + "-": 15, + ".": 16, + "/": 17, + "0": 18, + "1": 19, + "2": 20, + "3": 21, + "4": 22, + "5": 23, + "6": 24, + "7": 25, + "8": 26, + "9": 27, + ":": 28, + ";": 29, + "<": 30, + "=": 31, + ">": 32, + "?": 33, + "@": 34, + "A": 35, + "B": 36, + "C": 37, + "D": 38, + "E": 39, + "F": 40, + "G": 41, + "H": 42, + "I": 43, + "J": 44, + "K": 45, + "L": 46, + "M": 47, + "N": 48, + "O": 49, + "P": 50, + "Q": 51, + "R": 52, + "S": 53, + "T": 54, + "U": 55, + "V": 56, + "W": 57, + "X": 58, + "Y": 59, + "Z": 60, + "[": 61, + "\\": 62, + "]": 63, + "^": 64, + "_": 65, + "`": 66, + "a": 67, + "b": 68, + "c": 69, + "d": 70, + "e": 71, + "f": 72, + "g": 73, + "h": 74, + "i": 75, + "j": 76, + "k": 77, + "l": 78, + "m": 79, + "n": 80, + "o": 81, + "p": 82, + "q": 83, + "r": 84, + "s": 85, + "t": 86, + "u": 87, + "v": 88, + "w": 89, + "x": 90, + "y": 91, + "z": 92, + "{": 93, + "|": 94, + "}": 95, + "~": 96, + "Ċ": 97, + "Ġ": 98, + "Ġt": 99, + "Ġa": 100, + "in": 101, + "on": 102, + "he": 103, + "ti": 104, + "re": 105, + "Ġthe": 106, + "er": 107, + "Ġs": 108, + "Ġo": 109, + "en": 110, + "al": 111, + "Ġc": 112, + "or": 113, + "at": 114, + "tion": 115, + "es": 116, + "Ġof": 117, + "is": 118, + "Ġp": 119, + "an": 120, + "ed": 121, + "Ġf": 122, + "ar": 123, + "it": 124, + "ro": 125, + "ing": 126, + "Ġan": 127, + "Ġin": 128, + "Ġd": 129, + "Ġw": 130, + "Ġm": 131, + "ic": 132, + "le": 133, + "Ġb": 134, + "Ġand": 135, + "ation": 136, + "as": 137, + "Ġe": 138, + "el": 139, + "Ġto": 140, + "et": 141, + "ent": 142, + "Ġre": 143, + "st": 144, + "ct": 145, + "Ġth": 146, + "om": 147, + "im": 148, + "ul": 149, + "ra": 150, + "Ġn": 151, + "ve": 152, + "ly": 153, + "od": 154, + "ur": 155, + "un": 156, + "si": 157, + "ce": 158, + "Ġis": 159, + "Ġl": 160, + "Ġfor": 161, + "us": 162, + "ith": 163, + "ĠT": 164, + "ol": 165, + "Ġg": 166, + "Ġst": 167, + "Ġpro": 168, + "ch": 169, + "ow": 170, + "tic": 171, + "Ġcon": 172, + "qu": 173, + "Ġh": 174, + "per": 175, + "Ġon": 176, + "ig": 177, + "am": 178, + "res": 179, + "Ġwith": 180, + "Ġthat": 181, + "ĠW": 182, + "ver": 183, + "um": 184, + "Ġ$": 185, + "il": 186, + "Ġex": 187, + "ut": 188, + "se": 189, + "ot": 190, + "ate": 191, + "ec": 192, + "id": 193, + "em": 194, + "ity": 195, + "Ġwe": 196, + "pl": 197, + "ĠWe": 198, + "if": 199, + "Ġ(": 200, + "ab": 201, + "ge": 202, + "ĠThe": 203, + "ri": 204, + "ter": 205, + "the": 206, + "Ġal": 207, + "Ġas": 208, + "Ġbe": 209, + "Ġare": 210, + "ect": 211, + "omp": 212, + "ction": 213, + "ations": 214, + "ure": 215, + "ĠI": 216, + "Ġmod": 217, + "Ġv": 218, + "ir": 219, + "os": 220, + "Ġsu": 221, + "Ġby": 222, + "ts": 223, + "Ġsp": 224, + "pro": 225, + "und": 226, + "iz": 227, + "ac": 228, + "ical": 229, + "for": 230, + "ran": 231, + "ant": 232, + "Ġcomp": 233, + "di": 234, + "ain": 235, + "Ġwh": 236, + "ener": 237, + "ren": 238, + "rom": 239, + "Ġmodel": 240, + "Ġus": 241, + "ĠA": 242, + "Ġthis": 243, + "ist": 244, + "tive": 245, + "Ġres": 246, + "sion": 247, + "ag": 248, + "Ġde": 249, + "du": 250, + "Ġsh": 251, + "ess": 252, + "Ġat": 253, + "ĠS": 254, + "oc": 255 + }, + "merges": [ + [ + "Ġ", + "t" + ], + [ + "Ġ", + "a" + ], + [ + "i", + "n" + ], + [ + "o", + "n" + ], + [ + "h", + "e" + ], + [ + "t", + "i" + ], + [ + "r", + "e" + ], + [ + "Ġt", + "he" + ], + [ + "e", + "r" + ], + [ + "Ġ", + "s" + ], + [ + "Ġ", + "o" + ], + [ + "e", + "n" + ], + [ + "a", + "l" + ], + [ + "Ġ", + "c" + ], + [ + "o", + "r" + ], + [ + "a", + "t" + ], + [ + "ti", + "on" + ], + [ + "e", + "s" + ], + [ + "Ġo", + "f" + ], + [ + "i", + "s" + ], + [ + "Ġ", + "p" + ], + [ + "a", + "n" + ], + [ + "e", + "d" + ], + [ + "Ġ", + "f" + ], + [ + "a", + "r" + ], + [ + "i", + "t" + ], + [ + "r", + "o" + ], + [ + "in", + "g" + ], + [ + "Ġa", + "n" + ], + [ + "Ġ", + "in" + ], + [ + "Ġ", + "d" + ], + [ + "Ġ", + "w" + ], + [ + "Ġ", + "m" + ], + [ + "i", + "c" + ], + [ + "l", + "e" + ], + [ + "Ġ", + "b" + ], + [ + "Ġan", + "d" + ], + [ + "a", + "tion" + ], + [ + "a", + "s" + ], + [ + "Ġ", + "e" + ], + [ + "e", + "l" + ], + [ + "Ġt", + "o" + ], + [ + "e", + "t" + ], + [ + "en", + "t" + ], + [ + "Ġ", + "re" + ], + [ + "s", + "t" + ], + [ + "c", + "t" + ], + [ + "Ġt", + "h" + ], + [ + "o", + "m" + ], + [ + "i", + "m" + ], + [ + "u", + "l" + ], + [ + "r", + "a" + ], + [ + "Ġ", + "n" + ], + [ + "v", + "e" + ], + [ + "l", + "y" + ], + [ + "o", + "d" + ], + [ + "u", + "r" + ], + [ + "u", + "n" + ], + [ + "s", + "i" + ], + [ + "c", + "e" + ], + [ + "Ġ", + "is" + ], + [ + "Ġ", + "l" + ], + [ + "Ġf", + "or" + ], + [ + "u", + "s" + ], + [ + "it", + "h" + ], + [ + "Ġ", + "T" + ], + [ + "o", + "l" + ], + [ + "Ġ", + "g" + ], + [ + "Ġs", + "t" + ], + [ + "Ġp", + "ro" + ], + [ + "c", + "h" + ], + [ + "o", + "w" + ], + [ + "ti", + "c" + ], + [ + "Ġc", + "on" + ], + [ + "q", + "u" + ], + [ + "Ġ", + "h" + ], + [ + "p", + "er" + ], + [ + "Ġ", + "on" + ], + [ + "i", + "g" + ], + [ + "a", + "m" + ], + [ + "re", + "s" + ], + [ + "Ġw", + "ith" + ], + [ + "Ġth", + "at" + ], + [ + "Ġ", + "W" + ], + [ + "v", + "er" + ], + [ + "u", + "m" + ], + [ + "Ġ", + "$" + ], + [ + "i", + "l" + ], + [ + "Ġe", + "x" + ], + [ + "u", + "t" + ], + [ + "s", + "e" + ], + [ + "o", + "t" + ], + [ + "at", + "e" + ], + [ + "e", + "c" + ], + [ + "i", + "d" + ], + [ + "e", + "m" + ], + [ + "it", + "y" + ], + [ + "Ġw", + "e" + ], + [ + "p", + "l" + ], + [ + "ĠW", + "e" + ], + [ + "i", + "f" + ], + [ + "Ġ", + "(" + ], + [ + "a", + "b" + ], + [ + "g", + "e" + ], + [ + "ĠT", + "he" + ], + [ + "r", + "i" + ], + [ + "t", + "er" + ], + [ + "t", + "he" + ], + [ + "Ġa", + "l" + ], + [ + "Ġa", + "s" + ], + [ + "Ġb", + "e" + ], + [ + "Ġa", + "re" + ], + [ + "e", + "ct" + ], + [ + "om", + "p" + ], + [ + "c", + "tion" + ], + [ + "ation", + "s" + ], + [ + "u", + "re" + ], + [ + "Ġ", + "I" + ], + [ + "Ġm", + "od" + ], + [ + "Ġ", + "v" + ], + [ + "i", + "r" + ], + [ + "o", + "s" + ], + [ + "Ġs", + "u" + ], + [ + "Ġb", + "y" + ], + [ + "t", + "s" + ], + [ + "Ġs", + "p" + ], + [ + "p", + "ro" + ], + [ + "un", + "d" + ], + [ + "i", + "z" + ], + [ + "a", + "c" + ], + [ + "ic", + "al" + ], + [ + "f", + "or" + ], + [ + "r", + "an" + ], + [ + "an", + "t" + ], + [ + "Ġc", + "omp" + ], + [ + "d", + "i" + ], + [ + "a", + "in" + ], + [ + "Ġw", + "h" + ], + [ + "en", + "er" + ], + [ + "re", + "n" + ], + [ + "ro", + "m" + ], + [ + "Ġmod", + "el" + ], + [ + "Ġ", + "us" + ], + [ + "Ġ", + "A" + ], + [ + "Ġth", + "is" + ], + [ + "is", + "t" + ], + [ + "ti", + "ve" + ], + [ + "Ġre", + "s" + ], + [ + "si", + "on" + ], + [ + "a", + "g" + ], + [ + "Ġd", + "e" + ], + [ + "d", + "u" + ], + [ + "Ġs", + "h" + ], + [ + "es", + "s" + ], + [ + "Ġa", + "t" + ], + [ + "Ġ", + "S" + ], + [ + "o", + "c" + ] + ] + } +} \ No newline at end of file diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..de8a4d6 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,41 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|endoftext|>", + "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|endoftext|>", + "tokenizer_class": "PreTrainedTokenizerFast", + "unk_token": "<|endoftext|>" +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..bee10e3 --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,14033 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 10000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0005, + "grad_norm": 1.9079082012176514, + "learning_rate": 0.0001, + "loss": 5.5891, + "step": 5 + }, + { + "epoch": 0.001, + "grad_norm": 0.7927042841911316, + "learning_rate": 0.0002, + "loss": 5.1812, + "step": 10 + }, + { + "epoch": 0.0015, + "grad_norm": 0.6806358098983765, + "learning_rate": 0.0001998998998998999, + "loss": 4.9562, + "step": 15 + }, + { + "epoch": 0.002, + "grad_norm": 1.6273939609527588, + "learning_rate": 0.0001997997997997998, + "loss": 4.7403, + "step": 20 + }, + { + "epoch": 0.0025, + "grad_norm": 0.7797424793243408, + "learning_rate": 0.0001996996996996997, + "loss": 4.4994, + "step": 25 + }, + { + "epoch": 0.003, + "grad_norm": 0.6761952638626099, + "learning_rate": 0.0001995995995995996, + "loss": 4.315, + "step": 30 + }, + { + "epoch": 0.0035, + "grad_norm": 0.6525298953056335, + "learning_rate": 0.0001994994994994995, + "loss": 4.1599, + "step": 35 + }, + { + "epoch": 0.004, + "grad_norm": 0.8141308426856995, + "learning_rate": 0.0001993993993993994, + "loss": 4.0421, + "step": 40 + }, + { + "epoch": 0.0045, + "grad_norm": 0.7103850841522217, + "learning_rate": 0.00019929929929929932, + "loss": 3.9519, + "step": 45 + }, + { + "epoch": 0.005, + "grad_norm": 0.4970089793205261, + "learning_rate": 0.0001991991991991992, + "loss": 3.8788, + "step": 50 + }, + { + "epoch": 0.0055, + "grad_norm": 1.0156959295272827, + "learning_rate": 0.00019909909909909912, + "loss": 3.8267, + "step": 55 + }, + { + "epoch": 0.006, + "grad_norm": 0.6486234664916992, + "learning_rate": 0.000198998998998999, + "loss": 3.7721, + "step": 60 + }, + { + "epoch": 0.0065, + "grad_norm": 0.560275673866272, + "learning_rate": 0.0001988988988988989, + "loss": 3.7394, + "step": 65 + }, + { + "epoch": 0.007, + "grad_norm": 0.6026498675346375, + "learning_rate": 0.0001987987987987988, + "loss": 3.7272, + "step": 70 + }, + { + "epoch": 0.0075, + "grad_norm": 0.502984881401062, + "learning_rate": 0.0001986986986986987, + "loss": 3.6899, + "step": 75 + }, + { + "epoch": 0.008, + "grad_norm": 0.45901086926460266, + "learning_rate": 0.0001985985985985986, + "loss": 3.664, + "step": 80 + }, + { + "epoch": 0.0085, + "grad_norm": 0.6574872732162476, + "learning_rate": 0.0001984984984984985, + "loss": 3.6586, + "step": 85 + }, + { + "epoch": 0.009, + "grad_norm": 0.5188643932342529, + "learning_rate": 0.0001983983983983984, + "loss": 3.6381, + "step": 90 + }, + { + "epoch": 0.0095, + "grad_norm": 0.46534261107444763, + "learning_rate": 0.00019829829829829833, + "loss": 3.6189, + "step": 95 + }, + { + "epoch": 0.01, + "grad_norm": 0.5883278250694275, + "learning_rate": 0.0001981981981981982, + "loss": 3.5719, + "step": 100 + }, + { + "epoch": 0.0105, + "grad_norm": 0.5875305533409119, + "learning_rate": 0.00019809809809809813, + "loss": 3.5682, + "step": 105 + }, + { + "epoch": 0.011, + "grad_norm": 0.6514595746994019, + "learning_rate": 0.000197997997997998, + "loss": 3.5454, + "step": 110 + }, + { + "epoch": 0.0115, + "grad_norm": 0.7901559472084045, + "learning_rate": 0.0001978978978978979, + "loss": 3.535, + "step": 115 + }, + { + "epoch": 0.012, + "grad_norm": 0.8417282700538635, + "learning_rate": 0.0001977977977977978, + "loss": 3.499, + "step": 120 + }, + { + "epoch": 0.0125, + "grad_norm": 0.5768285393714905, + "learning_rate": 0.0001976976976976977, + "loss": 3.4973, + "step": 125 + }, + { + "epoch": 0.013, + "grad_norm": 0.5534257292747498, + "learning_rate": 0.0001975975975975976, + "loss": 3.443, + "step": 130 + }, + { + "epoch": 0.0135, + "grad_norm": 0.6167763471603394, + "learning_rate": 0.0001974974974974975, + "loss": 3.4109, + "step": 135 + }, + { + "epoch": 0.014, + "grad_norm": 0.7287874221801758, + "learning_rate": 0.00019739739739739739, + "loss": 3.3787, + "step": 140 + }, + { + "epoch": 0.0145, + "grad_norm": 0.5176478028297424, + "learning_rate": 0.0001972972972972973, + "loss": 3.3451, + "step": 145 + }, + { + "epoch": 0.015, + "grad_norm": 0.5850136280059814, + "learning_rate": 0.0001971971971971972, + "loss": 3.3066, + "step": 150 + }, + { + "epoch": 0.0155, + "grad_norm": 0.7310737371444702, + "learning_rate": 0.00019709709709709713, + "loss": 3.2662, + "step": 155 + }, + { + "epoch": 0.016, + "grad_norm": 0.6415804028511047, + "learning_rate": 0.00019699699699699701, + "loss": 3.2275, + "step": 160 + }, + { + "epoch": 0.0165, + "grad_norm": 0.6757485270500183, + "learning_rate": 0.0001968968968968969, + "loss": 3.1872, + "step": 165 + }, + { + "epoch": 0.017, + "grad_norm": 0.6382904052734375, + "learning_rate": 0.00019679679679679681, + "loss": 3.1226, + "step": 170 + }, + { + "epoch": 0.0175, + "grad_norm": 0.754895806312561, + "learning_rate": 0.0001966966966966967, + "loss": 3.0844, + "step": 175 + }, + { + "epoch": 0.018, + "grad_norm": 0.6877201795578003, + "learning_rate": 0.00019659659659659661, + "loss": 3.0516, + "step": 180 + }, + { + "epoch": 0.0185, + "grad_norm": 0.7147930264472961, + "learning_rate": 0.0001964964964964965, + "loss": 3.0131, + "step": 185 + }, + { + "epoch": 0.019, + "grad_norm": 0.6776050329208374, + "learning_rate": 0.0001963963963963964, + "loss": 2.9869, + "step": 190 + }, + { + "epoch": 0.0195, + "grad_norm": 0.7239454388618469, + "learning_rate": 0.0001962962962962963, + "loss": 2.9589, + "step": 195 + }, + { + "epoch": 0.02, + "grad_norm": 0.6836283802986145, + "learning_rate": 0.00019619619619619621, + "loss": 2.8852, + "step": 200 + }, + { + "epoch": 0.0205, + "grad_norm": 0.9422793984413147, + "learning_rate": 0.00019609609609609613, + "loss": 2.879, + "step": 205 + }, + { + "epoch": 0.021, + "grad_norm": 0.6841469407081604, + "learning_rate": 0.00019599599599599602, + "loss": 2.8571, + "step": 210 + }, + { + "epoch": 0.0215, + "grad_norm": 0.6966745257377625, + "learning_rate": 0.0001958958958958959, + "loss": 2.7985, + "step": 215 + }, + { + "epoch": 0.022, + "grad_norm": 0.8714805841445923, + "learning_rate": 0.00019579579579579582, + "loss": 2.7878, + "step": 220 + }, + { + "epoch": 0.0225, + "grad_norm": 0.7409490346908569, + "learning_rate": 0.0001956956956956957, + "loss": 2.7447, + "step": 225 + }, + { + "epoch": 0.023, + "grad_norm": 0.7043179273605347, + "learning_rate": 0.00019559559559559562, + "loss": 2.7465, + "step": 230 + }, + { + "epoch": 0.0235, + "grad_norm": 0.756272554397583, + "learning_rate": 0.0001954954954954955, + "loss": 2.7175, + "step": 235 + }, + { + "epoch": 0.024, + "grad_norm": 0.7182954549789429, + "learning_rate": 0.0001953953953953954, + "loss": 2.6932, + "step": 240 + }, + { + "epoch": 0.0245, + "grad_norm": 0.8014600276947021, + "learning_rate": 0.0001952952952952953, + "loss": 2.6721, + "step": 245 + }, + { + "epoch": 0.025, + "grad_norm": 0.7439653277397156, + "learning_rate": 0.0001951951951951952, + "loss": 2.6526, + "step": 250 + }, + { + "epoch": 0.0255, + "grad_norm": 0.7318114042282104, + "learning_rate": 0.0001950950950950951, + "loss": 2.6535, + "step": 255 + }, + { + "epoch": 0.026, + "grad_norm": 0.7556585073471069, + "learning_rate": 0.00019499499499499502, + "loss": 2.6466, + "step": 260 + }, + { + "epoch": 0.0265, + "grad_norm": 0.7585588693618774, + "learning_rate": 0.0001948948948948949, + "loss": 2.6062, + "step": 265 + }, + { + "epoch": 0.027, + "grad_norm": 0.7325690388679504, + "learning_rate": 0.00019479479479479482, + "loss": 2.604, + "step": 270 + }, + { + "epoch": 0.0275, + "grad_norm": 0.7965534925460815, + "learning_rate": 0.0001946946946946947, + "loss": 2.5905, + "step": 275 + }, + { + "epoch": 0.028, + "grad_norm": 0.8178598880767822, + "learning_rate": 0.00019459459459459462, + "loss": 2.5676, + "step": 280 + }, + { + "epoch": 0.0285, + "grad_norm": 0.750317394733429, + "learning_rate": 0.0001944944944944945, + "loss": 2.562, + "step": 285 + }, + { + "epoch": 0.029, + "grad_norm": 0.7719892263412476, + "learning_rate": 0.0001943943943943944, + "loss": 2.562, + "step": 290 + }, + { + "epoch": 0.0295, + "grad_norm": 0.8082327246665955, + "learning_rate": 0.0001942942942942943, + "loss": 2.5188, + "step": 295 + }, + { + "epoch": 0.03, + "grad_norm": 0.8357940912246704, + "learning_rate": 0.0001941941941941942, + "loss": 2.5437, + "step": 300 + }, + { + "epoch": 0.0305, + "grad_norm": 0.789130687713623, + "learning_rate": 0.0001940940940940941, + "loss": 2.5006, + "step": 305 + }, + { + "epoch": 0.031, + "grad_norm": 0.8761134743690491, + "learning_rate": 0.00019399399399399402, + "loss": 2.5121, + "step": 310 + }, + { + "epoch": 0.0315, + "grad_norm": 0.7823195457458496, + "learning_rate": 0.0001938938938938939, + "loss": 2.52, + "step": 315 + }, + { + "epoch": 0.032, + "grad_norm": 0.7430358529090881, + "learning_rate": 0.00019379379379379382, + "loss": 2.5108, + "step": 320 + }, + { + "epoch": 0.0325, + "grad_norm": 0.7893998026847839, + "learning_rate": 0.0001936936936936937, + "loss": 2.4943, + "step": 325 + }, + { + "epoch": 0.033, + "grad_norm": 0.79250568151474, + "learning_rate": 0.0001935935935935936, + "loss": 2.5005, + "step": 330 + }, + { + "epoch": 0.0335, + "grad_norm": 0.9912872910499573, + "learning_rate": 0.0001934934934934935, + "loss": 2.4595, + "step": 335 + }, + { + "epoch": 0.034, + "grad_norm": 0.7901522517204285, + "learning_rate": 0.0001933933933933934, + "loss": 2.4501, + "step": 340 + }, + { + "epoch": 0.0345, + "grad_norm": 0.7800329327583313, + "learning_rate": 0.0001932932932932933, + "loss": 2.46, + "step": 345 + }, + { + "epoch": 0.035, + "grad_norm": 0.838046669960022, + "learning_rate": 0.0001931931931931932, + "loss": 2.4495, + "step": 350 + }, + { + "epoch": 0.0355, + "grad_norm": 0.7794272899627686, + "learning_rate": 0.00019309309309309308, + "loss": 2.4537, + "step": 355 + }, + { + "epoch": 0.036, + "grad_norm": 0.8007591962814331, + "learning_rate": 0.000192992992992993, + "loss": 2.4339, + "step": 360 + }, + { + "epoch": 0.0365, + "grad_norm": 0.8491222262382507, + "learning_rate": 0.0001928928928928929, + "loss": 2.4461, + "step": 365 + }, + { + "epoch": 0.037, + "grad_norm": 0.8045406937599182, + "learning_rate": 0.00019279279279279282, + "loss": 2.4192, + "step": 370 + }, + { + "epoch": 0.0375, + "grad_norm": 0.8075376152992249, + "learning_rate": 0.0001926926926926927, + "loss": 2.4254, + "step": 375 + }, + { + "epoch": 0.038, + "grad_norm": 0.7965284585952759, + "learning_rate": 0.0001925925925925926, + "loss": 2.4136, + "step": 380 + }, + { + "epoch": 0.0385, + "grad_norm": 0.8071419596672058, + "learning_rate": 0.0001924924924924925, + "loss": 2.4018, + "step": 385 + }, + { + "epoch": 0.039, + "grad_norm": 0.7852412462234497, + "learning_rate": 0.0001923923923923924, + "loss": 2.3948, + "step": 390 + }, + { + "epoch": 0.0395, + "grad_norm": 0.7773271799087524, + "learning_rate": 0.0001922922922922923, + "loss": 2.3731, + "step": 395 + }, + { + "epoch": 0.04, + "grad_norm": 0.943693220615387, + "learning_rate": 0.0001921921921921922, + "loss": 2.4004, + "step": 400 + }, + { + "epoch": 0.0405, + "grad_norm": 0.8425918817520142, + "learning_rate": 0.00019209209209209208, + "loss": 2.3765, + "step": 405 + }, + { + "epoch": 0.041, + "grad_norm": 0.7713614702224731, + "learning_rate": 0.000191991991991992, + "loss": 2.3505, + "step": 410 + }, + { + "epoch": 0.0415, + "grad_norm": 0.9050373435020447, + "learning_rate": 0.0001918918918918919, + "loss": 2.3851, + "step": 415 + }, + { + "epoch": 0.042, + "grad_norm": 0.9341697096824646, + "learning_rate": 0.00019179179179179182, + "loss": 2.393, + "step": 420 + }, + { + "epoch": 0.0425, + "grad_norm": 0.9182080626487732, + "learning_rate": 0.0001916916916916917, + "loss": 2.3528, + "step": 425 + }, + { + "epoch": 0.043, + "grad_norm": 0.8569957613945007, + "learning_rate": 0.0001915915915915916, + "loss": 2.3723, + "step": 430 + }, + { + "epoch": 0.0435, + "grad_norm": 0.8590387105941772, + "learning_rate": 0.0001914914914914915, + "loss": 2.3591, + "step": 435 + }, + { + "epoch": 0.044, + "grad_norm": 0.8434947729110718, + "learning_rate": 0.0001913913913913914, + "loss": 2.3316, + "step": 440 + }, + { + "epoch": 0.0445, + "grad_norm": 0.8210241794586182, + "learning_rate": 0.0001912912912912913, + "loss": 2.3346, + "step": 445 + }, + { + "epoch": 0.045, + "grad_norm": 0.815951943397522, + "learning_rate": 0.0001911911911911912, + "loss": 2.3335, + "step": 450 + }, + { + "epoch": 0.0455, + "grad_norm": 0.8260611891746521, + "learning_rate": 0.00019109109109109108, + "loss": 2.3345, + "step": 455 + }, + { + "epoch": 0.046, + "grad_norm": 0.8018535375595093, + "learning_rate": 0.000190990990990991, + "loss": 2.3162, + "step": 460 + }, + { + "epoch": 0.0465, + "grad_norm": 0.7817215919494629, + "learning_rate": 0.00019089089089089088, + "loss": 2.3227, + "step": 465 + }, + { + "epoch": 0.047, + "grad_norm": 0.8590435981750488, + "learning_rate": 0.0001907907907907908, + "loss": 2.3195, + "step": 470 + }, + { + "epoch": 0.0475, + "grad_norm": 0.834904670715332, + "learning_rate": 0.0001906906906906907, + "loss": 2.3172, + "step": 475 + }, + { + "epoch": 0.048, + "grad_norm": 0.7928949594497681, + "learning_rate": 0.0001905905905905906, + "loss": 2.3117, + "step": 480 + }, + { + "epoch": 0.0485, + "grad_norm": 0.7825335264205933, + "learning_rate": 0.0001904904904904905, + "loss": 2.2934, + "step": 485 + }, + { + "epoch": 0.049, + "grad_norm": 0.8034011125564575, + "learning_rate": 0.0001903903903903904, + "loss": 2.2964, + "step": 490 + }, + { + "epoch": 0.0495, + "grad_norm": 0.8105394840240479, + "learning_rate": 0.0001902902902902903, + "loss": 2.3114, + "step": 495 + }, + { + "epoch": 0.05, + "grad_norm": 0.7957478165626526, + "learning_rate": 0.0001901901901901902, + "loss": 2.3039, + "step": 500 + }, + { + "epoch": 0.0505, + "grad_norm": 0.8164071440696716, + "learning_rate": 0.00019009009009009008, + "loss": 2.2803, + "step": 505 + }, + { + "epoch": 0.051, + "grad_norm": 0.8089556097984314, + "learning_rate": 0.00018998998998999, + "loss": 2.2965, + "step": 510 + }, + { + "epoch": 0.0515, + "grad_norm": 0.7860431671142578, + "learning_rate": 0.00018988988988988988, + "loss": 2.2686, + "step": 515 + }, + { + "epoch": 0.052, + "grad_norm": 0.859445333480835, + "learning_rate": 0.0001897897897897898, + "loss": 2.2996, + "step": 520 + }, + { + "epoch": 0.0525, + "grad_norm": 0.8138173818588257, + "learning_rate": 0.0001896896896896897, + "loss": 2.3295, + "step": 525 + }, + { + "epoch": 0.053, + "grad_norm": 0.7922393679618835, + "learning_rate": 0.0001895895895895896, + "loss": 2.2671, + "step": 530 + }, + { + "epoch": 0.0535, + "grad_norm": 0.8085952401161194, + "learning_rate": 0.0001894894894894895, + "loss": 2.2899, + "step": 535 + }, + { + "epoch": 0.054, + "grad_norm": 0.8285341858863831, + "learning_rate": 0.0001893893893893894, + "loss": 2.2911, + "step": 540 + }, + { + "epoch": 0.0545, + "grad_norm": 0.801395833492279, + "learning_rate": 0.0001892892892892893, + "loss": 2.2729, + "step": 545 + }, + { + "epoch": 0.055, + "grad_norm": 0.8205108642578125, + "learning_rate": 0.0001891891891891892, + "loss": 2.2709, + "step": 550 + }, + { + "epoch": 0.0555, + "grad_norm": 0.821998119354248, + "learning_rate": 0.00018908908908908908, + "loss": 2.2847, + "step": 555 + }, + { + "epoch": 0.056, + "grad_norm": 0.8000075221061707, + "learning_rate": 0.000188988988988989, + "loss": 2.2663, + "step": 560 + }, + { + "epoch": 0.0565, + "grad_norm": 0.8233977556228638, + "learning_rate": 0.00018888888888888888, + "loss": 2.261, + "step": 565 + }, + { + "epoch": 0.057, + "grad_norm": 0.8421242833137512, + "learning_rate": 0.0001887887887887888, + "loss": 2.2626, + "step": 570 + }, + { + "epoch": 0.0575, + "grad_norm": 0.8450160026550293, + "learning_rate": 0.00018868868868868868, + "loss": 2.2755, + "step": 575 + }, + { + "epoch": 0.058, + "grad_norm": 0.8315795660018921, + "learning_rate": 0.0001885885885885886, + "loss": 2.2381, + "step": 580 + }, + { + "epoch": 0.0585, + "grad_norm": 0.8966110348701477, + "learning_rate": 0.0001884884884884885, + "loss": 2.2517, + "step": 585 + }, + { + "epoch": 0.059, + "grad_norm": 0.8162801861763, + "learning_rate": 0.0001883883883883884, + "loss": 2.2629, + "step": 590 + }, + { + "epoch": 0.0595, + "grad_norm": 0.7899118661880493, + "learning_rate": 0.0001882882882882883, + "loss": 2.2304, + "step": 595 + }, + { + "epoch": 0.06, + "grad_norm": 0.8371149301528931, + "learning_rate": 0.0001881881881881882, + "loss": 2.2232, + "step": 600 + }, + { + "epoch": 0.0605, + "grad_norm": 0.8292490243911743, + "learning_rate": 0.00018808808808808809, + "loss": 2.2416, + "step": 605 + }, + { + "epoch": 0.061, + "grad_norm": 0.775081217288971, + "learning_rate": 0.000187987987987988, + "loss": 2.2547, + "step": 610 + }, + { + "epoch": 0.0615, + "grad_norm": 0.8445130586624146, + "learning_rate": 0.00018788788788788789, + "loss": 2.2243, + "step": 615 + }, + { + "epoch": 0.062, + "grad_norm": 0.9159201383590698, + "learning_rate": 0.0001877877877877878, + "loss": 2.2423, + "step": 620 + }, + { + "epoch": 0.0625, + "grad_norm": 0.8316602110862732, + "learning_rate": 0.00018768768768768769, + "loss": 2.2489, + "step": 625 + }, + { + "epoch": 0.063, + "grad_norm": 0.8371139764785767, + "learning_rate": 0.0001875875875875876, + "loss": 2.2255, + "step": 630 + }, + { + "epoch": 0.0635, + "grad_norm": 0.7829753756523132, + "learning_rate": 0.0001874874874874875, + "loss": 2.2279, + "step": 635 + }, + { + "epoch": 0.064, + "grad_norm": 0.8447110652923584, + "learning_rate": 0.0001873873873873874, + "loss": 2.2392, + "step": 640 + }, + { + "epoch": 0.0645, + "grad_norm": 0.8826359510421753, + "learning_rate": 0.00018728728728728731, + "loss": 2.2343, + "step": 645 + }, + { + "epoch": 0.065, + "grad_norm": 0.9065181016921997, + "learning_rate": 0.0001871871871871872, + "loss": 2.2295, + "step": 650 + }, + { + "epoch": 0.0655, + "grad_norm": 0.849250316619873, + "learning_rate": 0.0001870870870870871, + "loss": 2.2214, + "step": 655 + }, + { + "epoch": 0.066, + "grad_norm": 0.7951939105987549, + "learning_rate": 0.000186986986986987, + "loss": 2.2028, + "step": 660 + }, + { + "epoch": 0.0665, + "grad_norm": 0.8047727942466736, + "learning_rate": 0.0001868868868868869, + "loss": 2.2092, + "step": 665 + }, + { + "epoch": 0.067, + "grad_norm": 0.8044347167015076, + "learning_rate": 0.0001867867867867868, + "loss": 2.214, + "step": 670 + }, + { + "epoch": 0.0675, + "grad_norm": 0.831087052822113, + "learning_rate": 0.0001866866866866867, + "loss": 2.1976, + "step": 675 + }, + { + "epoch": 0.068, + "grad_norm": 0.818250298500061, + "learning_rate": 0.00018658658658658657, + "loss": 2.211, + "step": 680 + }, + { + "epoch": 0.0685, + "grad_norm": 0.8615385890007019, + "learning_rate": 0.0001864864864864865, + "loss": 2.2073, + "step": 685 + }, + { + "epoch": 0.069, + "grad_norm": 0.7918171882629395, + "learning_rate": 0.0001863863863863864, + "loss": 2.222, + "step": 690 + }, + { + "epoch": 0.0695, + "grad_norm": 0.7995744347572327, + "learning_rate": 0.00018628628628628632, + "loss": 2.1958, + "step": 695 + }, + { + "epoch": 0.07, + "grad_norm": 0.8070845603942871, + "learning_rate": 0.0001861861861861862, + "loss": 2.2098, + "step": 700 + }, + { + "epoch": 0.0705, + "grad_norm": 0.7857322692871094, + "learning_rate": 0.0001860860860860861, + "loss": 2.195, + "step": 705 + }, + { + "epoch": 0.071, + "grad_norm": 0.8171130418777466, + "learning_rate": 0.000185985985985986, + "loss": 2.1882, + "step": 710 + }, + { + "epoch": 0.0715, + "grad_norm": 0.8484584093093872, + "learning_rate": 0.0001858858858858859, + "loss": 2.1875, + "step": 715 + }, + { + "epoch": 0.072, + "grad_norm": 0.7893686890602112, + "learning_rate": 0.0001857857857857858, + "loss": 2.2256, + "step": 720 + }, + { + "epoch": 0.0725, + "grad_norm": 0.8339685797691345, + "learning_rate": 0.0001856856856856857, + "loss": 2.2197, + "step": 725 + }, + { + "epoch": 0.073, + "grad_norm": 0.8456217646598816, + "learning_rate": 0.00018558558558558558, + "loss": 2.1971, + "step": 730 + }, + { + "epoch": 0.0735, + "grad_norm": 0.8281363844871521, + "learning_rate": 0.0001854854854854855, + "loss": 2.1801, + "step": 735 + }, + { + "epoch": 0.074, + "grad_norm": 0.8099832534790039, + "learning_rate": 0.0001853853853853854, + "loss": 2.1826, + "step": 740 + }, + { + "epoch": 0.0745, + "grad_norm": 0.8337610960006714, + "learning_rate": 0.00018528528528528532, + "loss": 2.185, + "step": 745 + }, + { + "epoch": 0.075, + "grad_norm": 0.8083080053329468, + "learning_rate": 0.0001851851851851852, + "loss": 2.1803, + "step": 750 + }, + { + "epoch": 0.0755, + "grad_norm": 0.7984271049499512, + "learning_rate": 0.0001850850850850851, + "loss": 2.203, + "step": 755 + }, + { + "epoch": 0.076, + "grad_norm": 0.8373366594314575, + "learning_rate": 0.000184984984984985, + "loss": 2.1887, + "step": 760 + }, + { + "epoch": 0.0765, + "grad_norm": 0.8333912491798401, + "learning_rate": 0.0001848848848848849, + "loss": 2.1863, + "step": 765 + }, + { + "epoch": 0.077, + "grad_norm": 0.8119728565216064, + "learning_rate": 0.0001847847847847848, + "loss": 2.2026, + "step": 770 + }, + { + "epoch": 0.0775, + "grad_norm": 0.8200430274009705, + "learning_rate": 0.0001846846846846847, + "loss": 2.1644, + "step": 775 + }, + { + "epoch": 0.078, + "grad_norm": 0.797855019569397, + "learning_rate": 0.00018458458458458458, + "loss": 2.1739, + "step": 780 + }, + { + "epoch": 0.0785, + "grad_norm": 0.8249688148498535, + "learning_rate": 0.0001844844844844845, + "loss": 2.1716, + "step": 785 + }, + { + "epoch": 0.079, + "grad_norm": 0.8358808159828186, + "learning_rate": 0.00018438438438438438, + "loss": 2.1849, + "step": 790 + }, + { + "epoch": 0.0795, + "grad_norm": 0.8711438179016113, + "learning_rate": 0.0001842842842842843, + "loss": 2.1695, + "step": 795 + }, + { + "epoch": 0.08, + "grad_norm": 0.9179810881614685, + "learning_rate": 0.0001841841841841842, + "loss": 2.1597, + "step": 800 + }, + { + "epoch": 0.0805, + "grad_norm": 0.8647555708885193, + "learning_rate": 0.0001840840840840841, + "loss": 2.1918, + "step": 805 + }, + { + "epoch": 0.081, + "grad_norm": 0.8114230036735535, + "learning_rate": 0.000183983983983984, + "loss": 2.163, + "step": 810 + }, + { + "epoch": 0.0815, + "grad_norm": 0.8165040612220764, + "learning_rate": 0.0001838838838838839, + "loss": 2.1833, + "step": 815 + }, + { + "epoch": 0.082, + "grad_norm": 0.8150405287742615, + "learning_rate": 0.0001837837837837838, + "loss": 2.1452, + "step": 820 + }, + { + "epoch": 0.0825, + "grad_norm": 0.8312757015228271, + "learning_rate": 0.0001836836836836837, + "loss": 2.1535, + "step": 825 + }, + { + "epoch": 0.083, + "grad_norm": 0.7952617406845093, + "learning_rate": 0.00018358358358358358, + "loss": 2.1463, + "step": 830 + }, + { + "epoch": 0.0835, + "grad_norm": 0.855327308177948, + "learning_rate": 0.0001834834834834835, + "loss": 2.1622, + "step": 835 + }, + { + "epoch": 0.084, + "grad_norm": 0.8281525373458862, + "learning_rate": 0.00018338338338338338, + "loss": 2.149, + "step": 840 + }, + { + "epoch": 0.0845, + "grad_norm": 0.8069710731506348, + "learning_rate": 0.0001832832832832833, + "loss": 2.1548, + "step": 845 + }, + { + "epoch": 0.085, + "grad_norm": 0.8265529870986938, + "learning_rate": 0.0001831831831831832, + "loss": 2.1588, + "step": 850 + }, + { + "epoch": 0.0855, + "grad_norm": 0.8836376667022705, + "learning_rate": 0.0001830830830830831, + "loss": 2.1503, + "step": 855 + }, + { + "epoch": 0.086, + "grad_norm": 0.8916524648666382, + "learning_rate": 0.000182982982982983, + "loss": 2.1771, + "step": 860 + }, + { + "epoch": 0.0865, + "grad_norm": 0.9221314787864685, + "learning_rate": 0.0001828828828828829, + "loss": 2.1462, + "step": 865 + }, + { + "epoch": 0.087, + "grad_norm": 0.9381101727485657, + "learning_rate": 0.0001827827827827828, + "loss": 2.1593, + "step": 870 + }, + { + "epoch": 0.0875, + "grad_norm": 0.8455514311790466, + "learning_rate": 0.0001826826826826827, + "loss": 2.151, + "step": 875 + }, + { + "epoch": 0.088, + "grad_norm": 0.89353346824646, + "learning_rate": 0.00018258258258258258, + "loss": 2.1447, + "step": 880 + }, + { + "epoch": 0.0885, + "grad_norm": 0.9089289903640747, + "learning_rate": 0.0001824824824824825, + "loss": 2.1531, + "step": 885 + }, + { + "epoch": 0.089, + "grad_norm": 0.8870664238929749, + "learning_rate": 0.00018238238238238238, + "loss": 2.1541, + "step": 890 + }, + { + "epoch": 0.0895, + "grad_norm": 0.9005898237228394, + "learning_rate": 0.0001822822822822823, + "loss": 2.1582, + "step": 895 + }, + { + "epoch": 0.09, + "grad_norm": 0.8735866546630859, + "learning_rate": 0.00018218218218218218, + "loss": 2.1419, + "step": 900 + }, + { + "epoch": 0.0905, + "grad_norm": 0.8308618664741516, + "learning_rate": 0.0001820820820820821, + "loss": 2.1606, + "step": 905 + }, + { + "epoch": 0.091, + "grad_norm": 0.7997368574142456, + "learning_rate": 0.000181981981981982, + "loss": 2.1242, + "step": 910 + }, + { + "epoch": 0.0915, + "grad_norm": 0.804722785949707, + "learning_rate": 0.0001818818818818819, + "loss": 2.1264, + "step": 915 + }, + { + "epoch": 0.092, + "grad_norm": 0.8133739829063416, + "learning_rate": 0.0001817817817817818, + "loss": 2.1403, + "step": 920 + }, + { + "epoch": 0.0925, + "grad_norm": 0.8166353702545166, + "learning_rate": 0.0001816816816816817, + "loss": 2.159, + "step": 925 + }, + { + "epoch": 0.093, + "grad_norm": 0.8658384084701538, + "learning_rate": 0.00018158158158158158, + "loss": 2.1383, + "step": 930 + }, + { + "epoch": 0.0935, + "grad_norm": 0.8393406867980957, + "learning_rate": 0.0001814814814814815, + "loss": 2.1362, + "step": 935 + }, + { + "epoch": 0.094, + "grad_norm": 0.8342397809028625, + "learning_rate": 0.00018138138138138138, + "loss": 2.1218, + "step": 940 + }, + { + "epoch": 0.0945, + "grad_norm": 0.8732867240905762, + "learning_rate": 0.0001812812812812813, + "loss": 2.1378, + "step": 945 + }, + { + "epoch": 0.095, + "grad_norm": 0.8951284289360046, + "learning_rate": 0.00018118118118118118, + "loss": 2.141, + "step": 950 + }, + { + "epoch": 0.0955, + "grad_norm": 0.8014113903045654, + "learning_rate": 0.0001810810810810811, + "loss": 2.1341, + "step": 955 + }, + { + "epoch": 0.096, + "grad_norm": 0.8125712871551514, + "learning_rate": 0.000180980980980981, + "loss": 2.1527, + "step": 960 + }, + { + "epoch": 0.0965, + "grad_norm": 0.8115226030349731, + "learning_rate": 0.0001808808808808809, + "loss": 2.1237, + "step": 965 + }, + { + "epoch": 0.097, + "grad_norm": 0.7778534889221191, + "learning_rate": 0.00018078078078078078, + "loss": 2.133, + "step": 970 + }, + { + "epoch": 0.0975, + "grad_norm": 0.8221558928489685, + "learning_rate": 0.0001806806806806807, + "loss": 2.1301, + "step": 975 + }, + { + "epoch": 0.098, + "grad_norm": 0.8114945888519287, + "learning_rate": 0.00018058058058058058, + "loss": 2.1219, + "step": 980 + }, + { + "epoch": 0.0985, + "grad_norm": 0.8403328657150269, + "learning_rate": 0.0001804804804804805, + "loss": 2.1286, + "step": 985 + }, + { + "epoch": 0.099, + "grad_norm": 0.8078803420066833, + "learning_rate": 0.00018038038038038038, + "loss": 2.1298, + "step": 990 + }, + { + "epoch": 0.0995, + "grad_norm": 0.7954163551330566, + "learning_rate": 0.00018028028028028027, + "loss": 2.1243, + "step": 995 + }, + { + "epoch": 0.1, + "grad_norm": 0.8172447681427002, + "learning_rate": 0.00018018018018018018, + "loss": 2.1422, + "step": 1000 + }, + { + "epoch": 0.1005, + "grad_norm": 0.8081322312355042, + "learning_rate": 0.00018008008008008007, + "loss": 2.1293, + "step": 1005 + }, + { + "epoch": 0.101, + "grad_norm": 0.8215644955635071, + "learning_rate": 0.00017997997997997998, + "loss": 2.1281, + "step": 1010 + }, + { + "epoch": 0.1015, + "grad_norm": 0.8085120916366577, + "learning_rate": 0.0001798798798798799, + "loss": 2.1144, + "step": 1015 + }, + { + "epoch": 0.102, + "grad_norm": 0.8848192691802979, + "learning_rate": 0.00017977977977977978, + "loss": 2.1076, + "step": 1020 + }, + { + "epoch": 0.1025, + "grad_norm": 0.8614477515220642, + "learning_rate": 0.0001796796796796797, + "loss": 2.1271, + "step": 1025 + }, + { + "epoch": 0.103, + "grad_norm": 0.7808970808982849, + "learning_rate": 0.00017957957957957958, + "loss": 2.132, + "step": 1030 + }, + { + "epoch": 0.1035, + "grad_norm": 0.8185530304908752, + "learning_rate": 0.0001794794794794795, + "loss": 2.1138, + "step": 1035 + }, + { + "epoch": 0.104, + "grad_norm": 0.8249826431274414, + "learning_rate": 0.00017937937937937938, + "loss": 2.1203, + "step": 1040 + }, + { + "epoch": 0.1045, + "grad_norm": 0.8197057247161865, + "learning_rate": 0.00017927927927927927, + "loss": 2.1301, + "step": 1045 + }, + { + "epoch": 0.105, + "grad_norm": 0.8169847130775452, + "learning_rate": 0.00017917917917917918, + "loss": 2.1199, + "step": 1050 + }, + { + "epoch": 0.1055, + "grad_norm": 0.8283096551895142, + "learning_rate": 0.00017907907907907907, + "loss": 2.1329, + "step": 1055 + }, + { + "epoch": 0.106, + "grad_norm": 0.8258969783782959, + "learning_rate": 0.00017897897897897898, + "loss": 2.1345, + "step": 1060 + }, + { + "epoch": 0.1065, + "grad_norm": 0.8351008296012878, + "learning_rate": 0.0001788788788788789, + "loss": 2.1043, + "step": 1065 + }, + { + "epoch": 0.107, + "grad_norm": 0.8097892999649048, + "learning_rate": 0.00017877877877877878, + "loss": 2.115, + "step": 1070 + }, + { + "epoch": 0.1075, + "grad_norm": 0.8576760292053223, + "learning_rate": 0.0001786786786786787, + "loss": 2.1142, + "step": 1075 + }, + { + "epoch": 0.108, + "grad_norm": 0.8387484550476074, + "learning_rate": 0.00017857857857857859, + "loss": 2.1179, + "step": 1080 + }, + { + "epoch": 0.1085, + "grad_norm": 0.8194589614868164, + "learning_rate": 0.0001784784784784785, + "loss": 2.096, + "step": 1085 + }, + { + "epoch": 0.109, + "grad_norm": 0.8305883407592773, + "learning_rate": 0.00017837837837837839, + "loss": 2.1312, + "step": 1090 + }, + { + "epoch": 0.1095, + "grad_norm": 0.7996582984924316, + "learning_rate": 0.00017827827827827827, + "loss": 2.1102, + "step": 1095 + }, + { + "epoch": 0.11, + "grad_norm": 0.7716205716133118, + "learning_rate": 0.00017817817817817819, + "loss": 2.1136, + "step": 1100 + }, + { + "epoch": 0.1105, + "grad_norm": 0.8277180194854736, + "learning_rate": 0.00017807807807807807, + "loss": 2.0968, + "step": 1105 + }, + { + "epoch": 0.111, + "grad_norm": 0.8593622446060181, + "learning_rate": 0.00017797797797797799, + "loss": 2.1082, + "step": 1110 + }, + { + "epoch": 0.1115, + "grad_norm": 0.8498421311378479, + "learning_rate": 0.00017787787787787787, + "loss": 2.1008, + "step": 1115 + }, + { + "epoch": 0.112, + "grad_norm": 0.7923771739006042, + "learning_rate": 0.00017777777777777779, + "loss": 2.124, + "step": 1120 + }, + { + "epoch": 0.1125, + "grad_norm": 0.7583004832267761, + "learning_rate": 0.0001776776776776777, + "loss": 2.1046, + "step": 1125 + }, + { + "epoch": 0.113, + "grad_norm": 0.7722444534301758, + "learning_rate": 0.0001775775775775776, + "loss": 2.0927, + "step": 1130 + }, + { + "epoch": 0.1135, + "grad_norm": 0.8124234676361084, + "learning_rate": 0.0001774774774774775, + "loss": 2.0971, + "step": 1135 + }, + { + "epoch": 0.114, + "grad_norm": 0.815171480178833, + "learning_rate": 0.0001773773773773774, + "loss": 2.109, + "step": 1140 + }, + { + "epoch": 0.1145, + "grad_norm": 0.8697826266288757, + "learning_rate": 0.00017727727727727727, + "loss": 2.1232, + "step": 1145 + }, + { + "epoch": 0.115, + "grad_norm": 0.7589493989944458, + "learning_rate": 0.0001771771771771772, + "loss": 2.0896, + "step": 1150 + }, + { + "epoch": 0.1155, + "grad_norm": 0.7957839965820312, + "learning_rate": 0.00017707707707707707, + "loss": 2.0935, + "step": 1155 + }, + { + "epoch": 0.116, + "grad_norm": 0.7996811866760254, + "learning_rate": 0.000176976976976977, + "loss": 2.0873, + "step": 1160 + }, + { + "epoch": 0.1165, + "grad_norm": 0.9038351774215698, + "learning_rate": 0.00017687687687687687, + "loss": 2.1061, + "step": 1165 + }, + { + "epoch": 0.117, + "grad_norm": 0.8256264328956604, + "learning_rate": 0.0001767767767767768, + "loss": 2.101, + "step": 1170 + }, + { + "epoch": 0.1175, + "grad_norm": 0.8364511728286743, + "learning_rate": 0.0001766766766766767, + "loss": 2.0703, + "step": 1175 + }, + { + "epoch": 0.118, + "grad_norm": 0.8705337643623352, + "learning_rate": 0.0001765765765765766, + "loss": 2.0993, + "step": 1180 + }, + { + "epoch": 0.1185, + "grad_norm": 0.817215621471405, + "learning_rate": 0.0001764764764764765, + "loss": 2.0877, + "step": 1185 + }, + { + "epoch": 0.119, + "grad_norm": 0.8533849716186523, + "learning_rate": 0.0001763763763763764, + "loss": 2.1219, + "step": 1190 + }, + { + "epoch": 0.1195, + "grad_norm": 0.8578528761863708, + "learning_rate": 0.00017627627627627627, + "loss": 2.0859, + "step": 1195 + }, + { + "epoch": 0.12, + "grad_norm": 0.9291893243789673, + "learning_rate": 0.0001761761761761762, + "loss": 2.0715, + "step": 1200 + }, + { + "epoch": 0.1205, + "grad_norm": 0.8820558786392212, + "learning_rate": 0.00017607607607607608, + "loss": 2.0945, + "step": 1205 + }, + { + "epoch": 0.121, + "grad_norm": 0.8163352012634277, + "learning_rate": 0.000175975975975976, + "loss": 2.084, + "step": 1210 + }, + { + "epoch": 0.1215, + "grad_norm": 0.8108770847320557, + "learning_rate": 0.00017587587587587588, + "loss": 2.103, + "step": 1215 + }, + { + "epoch": 0.122, + "grad_norm": 0.7584842443466187, + "learning_rate": 0.00017577577577577576, + "loss": 2.1035, + "step": 1220 + }, + { + "epoch": 0.1225, + "grad_norm": 0.8116704225540161, + "learning_rate": 0.00017567567567567568, + "loss": 2.0872, + "step": 1225 + }, + { + "epoch": 0.123, + "grad_norm": 0.8035491108894348, + "learning_rate": 0.0001755755755755756, + "loss": 2.0806, + "step": 1230 + }, + { + "epoch": 0.1235, + "grad_norm": 0.8007566332817078, + "learning_rate": 0.0001754754754754755, + "loss": 2.0872, + "step": 1235 + }, + { + "epoch": 0.124, + "grad_norm": 0.8226689100265503, + "learning_rate": 0.0001753753753753754, + "loss": 2.0863, + "step": 1240 + }, + { + "epoch": 0.1245, + "grad_norm": 0.7925471663475037, + "learning_rate": 0.00017527527527527528, + "loss": 2.0818, + "step": 1245 + }, + { + "epoch": 0.125, + "grad_norm": 0.8135493397712708, + "learning_rate": 0.0001751751751751752, + "loss": 2.1068, + "step": 1250 + }, + { + "epoch": 0.1255, + "grad_norm": 0.7937769889831543, + "learning_rate": 0.00017507507507507508, + "loss": 2.076, + "step": 1255 + }, + { + "epoch": 0.126, + "grad_norm": 0.774671733379364, + "learning_rate": 0.000174974974974975, + "loss": 2.0856, + "step": 1260 + }, + { + "epoch": 0.1265, + "grad_norm": 0.772739589214325, + "learning_rate": 0.00017487487487487488, + "loss": 2.0804, + "step": 1265 + }, + { + "epoch": 0.127, + "grad_norm": 0.7890838980674744, + "learning_rate": 0.00017477477477477476, + "loss": 2.074, + "step": 1270 + }, + { + "epoch": 0.1275, + "grad_norm": 0.8244984149932861, + "learning_rate": 0.00017467467467467468, + "loss": 2.0829, + "step": 1275 + }, + { + "epoch": 0.128, + "grad_norm": 0.8121048808097839, + "learning_rate": 0.0001745745745745746, + "loss": 2.0686, + "step": 1280 + }, + { + "epoch": 0.1285, + "grad_norm": 0.8105731010437012, + "learning_rate": 0.0001744744744744745, + "loss": 2.0791, + "step": 1285 + }, + { + "epoch": 0.129, + "grad_norm": 0.8011786937713623, + "learning_rate": 0.0001743743743743744, + "loss": 2.0656, + "step": 1290 + }, + { + "epoch": 0.1295, + "grad_norm": 0.8228626251220703, + "learning_rate": 0.00017427427427427428, + "loss": 2.0847, + "step": 1295 + }, + { + "epoch": 0.13, + "grad_norm": 0.8151708245277405, + "learning_rate": 0.0001741741741741742, + "loss": 2.0597, + "step": 1300 + }, + { + "epoch": 0.1305, + "grad_norm": 0.771611213684082, + "learning_rate": 0.00017407407407407408, + "loss": 2.0463, + "step": 1305 + }, + { + "epoch": 0.131, + "grad_norm": 0.8352901339530945, + "learning_rate": 0.000173973973973974, + "loss": 2.063, + "step": 1310 + }, + { + "epoch": 0.1315, + "grad_norm": 0.8361049294471741, + "learning_rate": 0.00017387387387387388, + "loss": 2.064, + "step": 1315 + }, + { + "epoch": 0.132, + "grad_norm": 0.8306949138641357, + "learning_rate": 0.00017377377377377376, + "loss": 2.0955, + "step": 1320 + }, + { + "epoch": 0.1325, + "grad_norm": 0.7998603582382202, + "learning_rate": 0.00017367367367367368, + "loss": 2.0794, + "step": 1325 + }, + { + "epoch": 0.133, + "grad_norm": 0.7653375864028931, + "learning_rate": 0.00017357357357357357, + "loss": 2.0688, + "step": 1330 + }, + { + "epoch": 0.1335, + "grad_norm": 0.8033472895622253, + "learning_rate": 0.00017347347347347348, + "loss": 2.0889, + "step": 1335 + }, + { + "epoch": 0.134, + "grad_norm": 0.8225494623184204, + "learning_rate": 0.0001733733733733734, + "loss": 2.092, + "step": 1340 + }, + { + "epoch": 0.1345, + "grad_norm": 0.8260511159896851, + "learning_rate": 0.00017327327327327328, + "loss": 2.071, + "step": 1345 + }, + { + "epoch": 0.135, + "grad_norm": 0.9667144417762756, + "learning_rate": 0.0001731731731731732, + "loss": 2.0685, + "step": 1350 + }, + { + "epoch": 0.1355, + "grad_norm": 0.8435398936271667, + "learning_rate": 0.00017307307307307308, + "loss": 2.0781, + "step": 1355 + }, + { + "epoch": 0.136, + "grad_norm": 0.8424886465072632, + "learning_rate": 0.000172972972972973, + "loss": 2.0757, + "step": 1360 + }, + { + "epoch": 0.1365, + "grad_norm": 0.8169295787811279, + "learning_rate": 0.00017287287287287288, + "loss": 2.0734, + "step": 1365 + }, + { + "epoch": 0.137, + "grad_norm": 0.8099573254585266, + "learning_rate": 0.00017277277277277277, + "loss": 2.0714, + "step": 1370 + }, + { + "epoch": 0.1375, + "grad_norm": 0.8306437730789185, + "learning_rate": 0.00017267267267267268, + "loss": 2.0735, + "step": 1375 + }, + { + "epoch": 0.138, + "grad_norm": 0.7802367210388184, + "learning_rate": 0.00017257257257257257, + "loss": 2.0712, + "step": 1380 + }, + { + "epoch": 0.1385, + "grad_norm": 0.8200580477714539, + "learning_rate": 0.00017247247247247248, + "loss": 2.056, + "step": 1385 + }, + { + "epoch": 0.139, + "grad_norm": 0.8281895518302917, + "learning_rate": 0.0001723723723723724, + "loss": 2.0632, + "step": 1390 + }, + { + "epoch": 0.1395, + "grad_norm": 0.7939669489860535, + "learning_rate": 0.00017227227227227228, + "loss": 2.0628, + "step": 1395 + }, + { + "epoch": 0.14, + "grad_norm": 0.7863283157348633, + "learning_rate": 0.0001721721721721722, + "loss": 2.0593, + "step": 1400 + }, + { + "epoch": 0.1405, + "grad_norm": 0.7744026184082031, + "learning_rate": 0.00017207207207207208, + "loss": 2.0734, + "step": 1405 + }, + { + "epoch": 0.141, + "grad_norm": 0.7912557721138, + "learning_rate": 0.000171971971971972, + "loss": 2.045, + "step": 1410 + }, + { + "epoch": 0.1415, + "grad_norm": 0.8050516843795776, + "learning_rate": 0.00017187187187187188, + "loss": 2.0546, + "step": 1415 + }, + { + "epoch": 0.142, + "grad_norm": 0.7703220248222351, + "learning_rate": 0.00017177177177177177, + "loss": 2.0647, + "step": 1420 + }, + { + "epoch": 0.1425, + "grad_norm": 0.8010295033454895, + "learning_rate": 0.00017167167167167168, + "loss": 2.0556, + "step": 1425 + }, + { + "epoch": 0.143, + "grad_norm": 0.8166594505310059, + "learning_rate": 0.00017157157157157157, + "loss": 2.0691, + "step": 1430 + }, + { + "epoch": 0.1435, + "grad_norm": 0.7984005212783813, + "learning_rate": 0.00017147147147147148, + "loss": 2.0826, + "step": 1435 + }, + { + "epoch": 0.144, + "grad_norm": 0.837327778339386, + "learning_rate": 0.00017137137137137137, + "loss": 2.0631, + "step": 1440 + }, + { + "epoch": 0.1445, + "grad_norm": 0.815968930721283, + "learning_rate": 0.00017127127127127128, + "loss": 2.0457, + "step": 1445 + }, + { + "epoch": 0.145, + "grad_norm": 0.8031236529350281, + "learning_rate": 0.0001711711711711712, + "loss": 2.0685, + "step": 1450 + }, + { + "epoch": 0.1455, + "grad_norm": 0.7846900224685669, + "learning_rate": 0.00017107107107107108, + "loss": 2.0528, + "step": 1455 + }, + { + "epoch": 0.146, + "grad_norm": 0.7788130044937134, + "learning_rate": 0.000170970970970971, + "loss": 2.0667, + "step": 1460 + }, + { + "epoch": 0.1465, + "grad_norm": 0.7862707376480103, + "learning_rate": 0.00017087087087087088, + "loss": 2.068, + "step": 1465 + }, + { + "epoch": 0.147, + "grad_norm": 0.8099005222320557, + "learning_rate": 0.00017077077077077077, + "loss": 2.0689, + "step": 1470 + }, + { + "epoch": 0.1475, + "grad_norm": 0.8044168949127197, + "learning_rate": 0.00017067067067067068, + "loss": 2.07, + "step": 1475 + }, + { + "epoch": 0.148, + "grad_norm": 0.7925140261650085, + "learning_rate": 0.00017057057057057057, + "loss": 2.0628, + "step": 1480 + }, + { + "epoch": 0.1485, + "grad_norm": 0.8262330293655396, + "learning_rate": 0.00017047047047047048, + "loss": 2.0525, + "step": 1485 + }, + { + "epoch": 0.149, + "grad_norm": 0.8038750886917114, + "learning_rate": 0.00017037037037037037, + "loss": 2.057, + "step": 1490 + }, + { + "epoch": 0.1495, + "grad_norm": 0.778914213180542, + "learning_rate": 0.00017027027027027028, + "loss": 2.0714, + "step": 1495 + }, + { + "epoch": 0.15, + "grad_norm": 0.7874584794044495, + "learning_rate": 0.0001701701701701702, + "loss": 2.0799, + "step": 1500 + }, + { + "epoch": 0.1505, + "grad_norm": 0.7739863991737366, + "learning_rate": 0.00017007007007007008, + "loss": 2.03, + "step": 1505 + }, + { + "epoch": 0.151, + "grad_norm": 0.8992478251457214, + "learning_rate": 0.00016996996996997, + "loss": 2.06, + "step": 1510 + }, + { + "epoch": 0.1515, + "grad_norm": 0.7923077344894409, + "learning_rate": 0.00016986986986986988, + "loss": 2.0449, + "step": 1515 + }, + { + "epoch": 0.152, + "grad_norm": 0.8039366006851196, + "learning_rate": 0.00016976976976976977, + "loss": 2.0581, + "step": 1520 + }, + { + "epoch": 0.1525, + "grad_norm": 0.7828361392021179, + "learning_rate": 0.00016966966966966968, + "loss": 2.0525, + "step": 1525 + }, + { + "epoch": 0.153, + "grad_norm": 0.7761391401290894, + "learning_rate": 0.00016956956956956957, + "loss": 2.0407, + "step": 1530 + }, + { + "epoch": 0.1535, + "grad_norm": 0.8189055323600769, + "learning_rate": 0.00016946946946946948, + "loss": 2.0552, + "step": 1535 + }, + { + "epoch": 0.154, + "grad_norm": 0.8271364569664001, + "learning_rate": 0.00016936936936936937, + "loss": 2.07, + "step": 1540 + }, + { + "epoch": 0.1545, + "grad_norm": 0.7701451778411865, + "learning_rate": 0.00016926926926926926, + "loss": 2.0252, + "step": 1545 + }, + { + "epoch": 0.155, + "grad_norm": 0.8270406723022461, + "learning_rate": 0.00016916916916916917, + "loss": 2.0465, + "step": 1550 + }, + { + "epoch": 0.1555, + "grad_norm": 0.8067330121994019, + "learning_rate": 0.00016906906906906908, + "loss": 2.0356, + "step": 1555 + }, + { + "epoch": 0.156, + "grad_norm": 0.870760977268219, + "learning_rate": 0.000168968968968969, + "loss": 2.0276, + "step": 1560 + }, + { + "epoch": 0.1565, + "grad_norm": 0.8015304207801819, + "learning_rate": 0.00016886886886886889, + "loss": 2.0566, + "step": 1565 + }, + { + "epoch": 0.157, + "grad_norm": 0.8079798817634583, + "learning_rate": 0.00016876876876876877, + "loss": 2.0477, + "step": 1570 + }, + { + "epoch": 0.1575, + "grad_norm": 0.7779944539070129, + "learning_rate": 0.00016866866866866869, + "loss": 2.0598, + "step": 1575 + }, + { + "epoch": 0.158, + "grad_norm": 0.8422070145606995, + "learning_rate": 0.00016856856856856857, + "loss": 2.0504, + "step": 1580 + }, + { + "epoch": 0.1585, + "grad_norm": 0.7895457744598389, + "learning_rate": 0.00016846846846846846, + "loss": 2.0323, + "step": 1585 + }, + { + "epoch": 0.159, + "grad_norm": 0.8140113949775696, + "learning_rate": 0.00016836836836836837, + "loss": 2.0498, + "step": 1590 + }, + { + "epoch": 0.1595, + "grad_norm": 0.7975071668624878, + "learning_rate": 0.00016826826826826826, + "loss": 2.0647, + "step": 1595 + }, + { + "epoch": 0.16, + "grad_norm": 0.797199010848999, + "learning_rate": 0.00016816816816816817, + "loss": 2.0437, + "step": 1600 + }, + { + "epoch": 0.1605, + "grad_norm": 0.7758844494819641, + "learning_rate": 0.00016806806806806809, + "loss": 2.0531, + "step": 1605 + }, + { + "epoch": 0.161, + "grad_norm": 0.7931090593338013, + "learning_rate": 0.00016796796796796797, + "loss": 2.0446, + "step": 1610 + }, + { + "epoch": 0.1615, + "grad_norm": 0.7633284330368042, + "learning_rate": 0.0001678678678678679, + "loss": 2.0602, + "step": 1615 + }, + { + "epoch": 0.162, + "grad_norm": 0.8108896017074585, + "learning_rate": 0.00016776776776776777, + "loss": 2.0388, + "step": 1620 + }, + { + "epoch": 0.1625, + "grad_norm": 0.7830617427825928, + "learning_rate": 0.0001676676676676677, + "loss": 2.0684, + "step": 1625 + }, + { + "epoch": 0.163, + "grad_norm": 0.8587239980697632, + "learning_rate": 0.00016756756756756757, + "loss": 2.0365, + "step": 1630 + }, + { + "epoch": 0.1635, + "grad_norm": 0.8472581505775452, + "learning_rate": 0.00016746746746746746, + "loss": 2.0522, + "step": 1635 + }, + { + "epoch": 0.164, + "grad_norm": 0.9151282906532288, + "learning_rate": 0.00016736736736736737, + "loss": 2.0582, + "step": 1640 + }, + { + "epoch": 0.1645, + "grad_norm": 0.8431873321533203, + "learning_rate": 0.00016726726726726726, + "loss": 2.0476, + "step": 1645 + }, + { + "epoch": 0.165, + "grad_norm": 0.7887601256370544, + "learning_rate": 0.00016716716716716717, + "loss": 2.0366, + "step": 1650 + }, + { + "epoch": 0.1655, + "grad_norm": 0.7875514626502991, + "learning_rate": 0.00016706706706706706, + "loss": 2.0561, + "step": 1655 + }, + { + "epoch": 0.166, + "grad_norm": 0.8043152689933777, + "learning_rate": 0.00016696696696696697, + "loss": 2.0388, + "step": 1660 + }, + { + "epoch": 0.1665, + "grad_norm": 0.7784465551376343, + "learning_rate": 0.0001668668668668669, + "loss": 2.0407, + "step": 1665 + }, + { + "epoch": 0.167, + "grad_norm": 0.7523636221885681, + "learning_rate": 0.00016676676676676677, + "loss": 2.0507, + "step": 1670 + }, + { + "epoch": 0.1675, + "grad_norm": 0.7890161871910095, + "learning_rate": 0.0001666666666666667, + "loss": 2.0511, + "step": 1675 + }, + { + "epoch": 0.168, + "grad_norm": 0.7951382994651794, + "learning_rate": 0.00016656656656656657, + "loss": 2.0126, + "step": 1680 + }, + { + "epoch": 0.1685, + "grad_norm": 0.8491453528404236, + "learning_rate": 0.00016646646646646646, + "loss": 2.0325, + "step": 1685 + }, + { + "epoch": 0.169, + "grad_norm": 0.7883369326591492, + "learning_rate": 0.00016636636636636638, + "loss": 2.0238, + "step": 1690 + }, + { + "epoch": 0.1695, + "grad_norm": 0.848307192325592, + "learning_rate": 0.00016626626626626626, + "loss": 2.0335, + "step": 1695 + }, + { + "epoch": 0.17, + "grad_norm": 0.7763209939002991, + "learning_rate": 0.00016616616616616618, + "loss": 2.0511, + "step": 1700 + }, + { + "epoch": 0.1705, + "grad_norm": 0.7731834650039673, + "learning_rate": 0.00016606606606606606, + "loss": 2.0417, + "step": 1705 + }, + { + "epoch": 0.171, + "grad_norm": 0.7851327657699585, + "learning_rate": 0.00016596596596596598, + "loss": 2.031, + "step": 1710 + }, + { + "epoch": 0.1715, + "grad_norm": 0.794136106967926, + "learning_rate": 0.0001658658658658659, + "loss": 2.03, + "step": 1715 + }, + { + "epoch": 0.172, + "grad_norm": 0.7943106293678284, + "learning_rate": 0.00016576576576576578, + "loss": 2.0273, + "step": 1720 + }, + { + "epoch": 0.1725, + "grad_norm": 0.7772659659385681, + "learning_rate": 0.0001656656656656657, + "loss": 2.0424, + "step": 1725 + }, + { + "epoch": 0.173, + "grad_norm": 0.7858376502990723, + "learning_rate": 0.00016556556556556558, + "loss": 2.0309, + "step": 1730 + }, + { + "epoch": 0.1735, + "grad_norm": 0.7929664850234985, + "learning_rate": 0.00016546546546546546, + "loss": 2.0399, + "step": 1735 + }, + { + "epoch": 0.174, + "grad_norm": 0.7890056371688843, + "learning_rate": 0.00016536536536536538, + "loss": 2.0413, + "step": 1740 + }, + { + "epoch": 0.1745, + "grad_norm": 0.7757844924926758, + "learning_rate": 0.00016526526526526526, + "loss": 2.0487, + "step": 1745 + }, + { + "epoch": 0.175, + "grad_norm": 0.7959721088409424, + "learning_rate": 0.00016516516516516518, + "loss": 2.0366, + "step": 1750 + }, + { + "epoch": 0.1755, + "grad_norm": 0.7847658395767212, + "learning_rate": 0.00016506506506506506, + "loss": 2.0465, + "step": 1755 + }, + { + "epoch": 0.176, + "grad_norm": 0.748741865158081, + "learning_rate": 0.00016496496496496495, + "loss": 2.0494, + "step": 1760 + }, + { + "epoch": 0.1765, + "grad_norm": 0.7750582695007324, + "learning_rate": 0.00016486486486486486, + "loss": 2.0386, + "step": 1765 + }, + { + "epoch": 0.177, + "grad_norm": 0.7988344430923462, + "learning_rate": 0.00016476476476476478, + "loss": 2.0332, + "step": 1770 + }, + { + "epoch": 0.1775, + "grad_norm": 0.821477472782135, + "learning_rate": 0.0001646646646646647, + "loss": 2.0233, + "step": 1775 + }, + { + "epoch": 0.178, + "grad_norm": 0.8394650220870972, + "learning_rate": 0.00016456456456456458, + "loss": 2.0463, + "step": 1780 + }, + { + "epoch": 0.1785, + "grad_norm": 0.8799570798873901, + "learning_rate": 0.00016446446446446446, + "loss": 2.0214, + "step": 1785 + }, + { + "epoch": 0.179, + "grad_norm": 0.8210110068321228, + "learning_rate": 0.00016436436436436438, + "loss": 2.025, + "step": 1790 + }, + { + "epoch": 0.1795, + "grad_norm": 0.7694400548934937, + "learning_rate": 0.00016426426426426426, + "loss": 2.0122, + "step": 1795 + }, + { + "epoch": 0.18, + "grad_norm": 0.7861407995223999, + "learning_rate": 0.00016416416416416418, + "loss": 2.0387, + "step": 1800 + }, + { + "epoch": 0.1805, + "grad_norm": 0.8013924360275269, + "learning_rate": 0.00016406406406406406, + "loss": 2.0425, + "step": 1805 + }, + { + "epoch": 0.181, + "grad_norm": 0.7965100407600403, + "learning_rate": 0.00016396396396396395, + "loss": 2.0312, + "step": 1810 + }, + { + "epoch": 0.1815, + "grad_norm": 0.7945120930671692, + "learning_rate": 0.00016386386386386387, + "loss": 2.0201, + "step": 1815 + }, + { + "epoch": 0.182, + "grad_norm": 0.7594983577728271, + "learning_rate": 0.00016376376376376378, + "loss": 2.018, + "step": 1820 + }, + { + "epoch": 0.1825, + "grad_norm": 0.7923123240470886, + "learning_rate": 0.0001636636636636637, + "loss": 2.0128, + "step": 1825 + }, + { + "epoch": 0.183, + "grad_norm": 0.7755590081214905, + "learning_rate": 0.00016356356356356358, + "loss": 2.05, + "step": 1830 + }, + { + "epoch": 0.1835, + "grad_norm": 0.7651676535606384, + "learning_rate": 0.00016346346346346347, + "loss": 2.0239, + "step": 1835 + }, + { + "epoch": 0.184, + "grad_norm": 0.7822082042694092, + "learning_rate": 0.00016336336336336338, + "loss": 2.0271, + "step": 1840 + }, + { + "epoch": 0.1845, + "grad_norm": 0.7861602306365967, + "learning_rate": 0.00016326326326326327, + "loss": 2.0329, + "step": 1845 + }, + { + "epoch": 0.185, + "grad_norm": 0.7773391604423523, + "learning_rate": 0.00016316316316316318, + "loss": 2.0167, + "step": 1850 + }, + { + "epoch": 0.1855, + "grad_norm": 0.7753078937530518, + "learning_rate": 0.00016306306306306307, + "loss": 2.0392, + "step": 1855 + }, + { + "epoch": 0.186, + "grad_norm": 0.7742039561271667, + "learning_rate": 0.00016296296296296295, + "loss": 2.0163, + "step": 1860 + }, + { + "epoch": 0.1865, + "grad_norm": 0.7700342535972595, + "learning_rate": 0.00016286286286286287, + "loss": 2.0273, + "step": 1865 + }, + { + "epoch": 0.187, + "grad_norm": 0.7967638373374939, + "learning_rate": 0.00016276276276276275, + "loss": 2.0295, + "step": 1870 + }, + { + "epoch": 0.1875, + "grad_norm": 0.7784233689308167, + "learning_rate": 0.00016266266266266267, + "loss": 2.0112, + "step": 1875 + }, + { + "epoch": 0.188, + "grad_norm": 0.7581600546836853, + "learning_rate": 0.00016256256256256258, + "loss": 2.045, + "step": 1880 + }, + { + "epoch": 0.1885, + "grad_norm": 0.7855777144432068, + "learning_rate": 0.00016246246246246247, + "loss": 2.018, + "step": 1885 + }, + { + "epoch": 0.189, + "grad_norm": 0.7643173336982727, + "learning_rate": 0.00016236236236236238, + "loss": 2.0338, + "step": 1890 + }, + { + "epoch": 0.1895, + "grad_norm": 0.7671994566917419, + "learning_rate": 0.00016226226226226227, + "loss": 2.0306, + "step": 1895 + }, + { + "epoch": 0.19, + "grad_norm": 0.7719835638999939, + "learning_rate": 0.00016216216216216218, + "loss": 2.0347, + "step": 1900 + }, + { + "epoch": 0.1905, + "grad_norm": 0.7854582667350769, + "learning_rate": 0.00016206206206206207, + "loss": 2.0025, + "step": 1905 + }, + { + "epoch": 0.191, + "grad_norm": 0.7874001264572144, + "learning_rate": 0.00016196196196196195, + "loss": 2.0113, + "step": 1910 + }, + { + "epoch": 0.1915, + "grad_norm": 0.7835874557495117, + "learning_rate": 0.00016186186186186187, + "loss": 1.9983, + "step": 1915 + }, + { + "epoch": 0.192, + "grad_norm": 0.7952415943145752, + "learning_rate": 0.00016176176176176175, + "loss": 2.015, + "step": 1920 + }, + { + "epoch": 0.1925, + "grad_norm": 0.8112797737121582, + "learning_rate": 0.00016166166166166167, + "loss": 2.0433, + "step": 1925 + }, + { + "epoch": 0.193, + "grad_norm": 0.7716769576072693, + "learning_rate": 0.00016156156156156158, + "loss": 2.0229, + "step": 1930 + }, + { + "epoch": 0.1935, + "grad_norm": 0.8018927574157715, + "learning_rate": 0.00016146146146146147, + "loss": 2.0194, + "step": 1935 + }, + { + "epoch": 0.194, + "grad_norm": 0.8140080571174622, + "learning_rate": 0.00016136136136136138, + "loss": 2.0195, + "step": 1940 + }, + { + "epoch": 0.1945, + "grad_norm": 0.7923764586448669, + "learning_rate": 0.00016126126126126127, + "loss": 2.0137, + "step": 1945 + }, + { + "epoch": 0.195, + "grad_norm": 0.8428927659988403, + "learning_rate": 0.00016116116116116118, + "loss": 2.0238, + "step": 1950 + }, + { + "epoch": 0.1955, + "grad_norm": 0.8145603537559509, + "learning_rate": 0.00016106106106106107, + "loss": 2.0129, + "step": 1955 + }, + { + "epoch": 0.196, + "grad_norm": 0.8989366888999939, + "learning_rate": 0.00016096096096096096, + "loss": 2.0275, + "step": 1960 + }, + { + "epoch": 0.1965, + "grad_norm": 0.8182039856910706, + "learning_rate": 0.00016086086086086087, + "loss": 2.0044, + "step": 1965 + }, + { + "epoch": 0.197, + "grad_norm": 0.8926301002502441, + "learning_rate": 0.00016076076076076076, + "loss": 2.0147, + "step": 1970 + }, + { + "epoch": 0.1975, + "grad_norm": 0.7725608348846436, + "learning_rate": 0.00016066066066066067, + "loss": 2.0172, + "step": 1975 + }, + { + "epoch": 0.198, + "grad_norm": 0.8739742040634155, + "learning_rate": 0.00016056056056056056, + "loss": 2.0245, + "step": 1980 + }, + { + "epoch": 0.1985, + "grad_norm": 0.8591052293777466, + "learning_rate": 0.00016046046046046047, + "loss": 1.9968, + "step": 1985 + }, + { + "epoch": 0.199, + "grad_norm": 0.7801085114479065, + "learning_rate": 0.00016036036036036038, + "loss": 2.0064, + "step": 1990 + }, + { + "epoch": 0.1995, + "grad_norm": 0.8598971366882324, + "learning_rate": 0.00016026026026026027, + "loss": 2.0307, + "step": 1995 + }, + { + "epoch": 0.2, + "grad_norm": 0.8810726404190063, + "learning_rate": 0.00016016016016016018, + "loss": 2.0129, + "step": 2000 + }, + { + "epoch": 0.2005, + "grad_norm": 0.8133185505867004, + "learning_rate": 0.00016006006006006007, + "loss": 2.0047, + "step": 2005 + }, + { + "epoch": 0.201, + "grad_norm": 0.8219152688980103, + "learning_rate": 0.00015995995995995996, + "loss": 2.0311, + "step": 2010 + }, + { + "epoch": 0.2015, + "grad_norm": 0.7896487712860107, + "learning_rate": 0.00015985985985985987, + "loss": 2.0247, + "step": 2015 + }, + { + "epoch": 0.202, + "grad_norm": 0.9305662512779236, + "learning_rate": 0.00015975975975975976, + "loss": 2.0446, + "step": 2020 + }, + { + "epoch": 0.2025, + "grad_norm": 0.8045963644981384, + "learning_rate": 0.00015965965965965967, + "loss": 2.0093, + "step": 2025 + }, + { + "epoch": 0.203, + "grad_norm": 0.8537754416465759, + "learning_rate": 0.00015955955955955956, + "loss": 2.0215, + "step": 2030 + }, + { + "epoch": 0.2035, + "grad_norm": 0.7994036674499512, + "learning_rate": 0.00015945945945945947, + "loss": 1.997, + "step": 2035 + }, + { + "epoch": 0.204, + "grad_norm": 0.7729703187942505, + "learning_rate": 0.00015935935935935938, + "loss": 2.0095, + "step": 2040 + }, + { + "epoch": 0.2045, + "grad_norm": 0.7706931233406067, + "learning_rate": 0.00015925925925925927, + "loss": 2.029, + "step": 2045 + }, + { + "epoch": 0.205, + "grad_norm": 0.7798938155174255, + "learning_rate": 0.00015915915915915919, + "loss": 2.0325, + "step": 2050 + }, + { + "epoch": 0.2055, + "grad_norm": 0.7870948314666748, + "learning_rate": 0.00015905905905905907, + "loss": 2.0282, + "step": 2055 + }, + { + "epoch": 0.206, + "grad_norm": 0.8591163158416748, + "learning_rate": 0.00015895895895895896, + "loss": 2.0183, + "step": 2060 + }, + { + "epoch": 0.2065, + "grad_norm": 0.8115944862365723, + "learning_rate": 0.00015885885885885887, + "loss": 2.0131, + "step": 2065 + }, + { + "epoch": 0.207, + "grad_norm": 0.7475624680519104, + "learning_rate": 0.00015875875875875876, + "loss": 2.0175, + "step": 2070 + }, + { + "epoch": 0.2075, + "grad_norm": 0.7941943407058716, + "learning_rate": 0.00015865865865865867, + "loss": 2.0288, + "step": 2075 + }, + { + "epoch": 0.208, + "grad_norm": 0.7347163558006287, + "learning_rate": 0.00015855855855855856, + "loss": 1.9898, + "step": 2080 + }, + { + "epoch": 0.2085, + "grad_norm": 0.757885217666626, + "learning_rate": 0.00015845845845845845, + "loss": 1.9989, + "step": 2085 + }, + { + "epoch": 0.209, + "grad_norm": 0.7636198401451111, + "learning_rate": 0.00015835835835835836, + "loss": 2.0141, + "step": 2090 + }, + { + "epoch": 0.2095, + "grad_norm": 0.8460286855697632, + "learning_rate": 0.00015825825825825827, + "loss": 1.9916, + "step": 2095 + }, + { + "epoch": 0.21, + "grad_norm": 0.7832396626472473, + "learning_rate": 0.0001581581581581582, + "loss": 2.0153, + "step": 2100 + }, + { + "epoch": 0.2105, + "grad_norm": 0.7886310815811157, + "learning_rate": 0.00015805805805805807, + "loss": 2.0428, + "step": 2105 + }, + { + "epoch": 0.211, + "grad_norm": 0.7736825942993164, + "learning_rate": 0.00015795795795795796, + "loss": 2.0113, + "step": 2110 + }, + { + "epoch": 0.2115, + "grad_norm": 0.7903079986572266, + "learning_rate": 0.00015785785785785787, + "loss": 2.0105, + "step": 2115 + }, + { + "epoch": 0.212, + "grad_norm": 0.8193835616111755, + "learning_rate": 0.00015775775775775776, + "loss": 2.0123, + "step": 2120 + }, + { + "epoch": 0.2125, + "grad_norm": 0.8024186491966248, + "learning_rate": 0.00015765765765765767, + "loss": 2.0069, + "step": 2125 + }, + { + "epoch": 0.213, + "grad_norm": 0.7742881178855896, + "learning_rate": 0.00015755755755755756, + "loss": 2.0106, + "step": 2130 + }, + { + "epoch": 0.2135, + "grad_norm": 0.8352553844451904, + "learning_rate": 0.00015745745745745745, + "loss": 1.9989, + "step": 2135 + }, + { + "epoch": 0.214, + "grad_norm": 0.7888927459716797, + "learning_rate": 0.00015735735735735736, + "loss": 1.9939, + "step": 2140 + }, + { + "epoch": 0.2145, + "grad_norm": 0.811654806137085, + "learning_rate": 0.00015725725725725727, + "loss": 2.0194, + "step": 2145 + }, + { + "epoch": 0.215, + "grad_norm": 0.8414866924285889, + "learning_rate": 0.0001571571571571572, + "loss": 1.9964, + "step": 2150 + }, + { + "epoch": 0.2155, + "grad_norm": 0.7777667045593262, + "learning_rate": 0.00015705705705705707, + "loss": 2.0231, + "step": 2155 + }, + { + "epoch": 0.216, + "grad_norm": 0.782187819480896, + "learning_rate": 0.00015695695695695696, + "loss": 2.0235, + "step": 2160 + }, + { + "epoch": 0.2165, + "grad_norm": 0.7661353945732117, + "learning_rate": 0.00015685685685685687, + "loss": 1.9932, + "step": 2165 + }, + { + "epoch": 0.217, + "grad_norm": 0.8571522235870361, + "learning_rate": 0.00015675675675675676, + "loss": 2.017, + "step": 2170 + }, + { + "epoch": 0.2175, + "grad_norm": 0.795987606048584, + "learning_rate": 0.00015665665665665668, + "loss": 2.0095, + "step": 2175 + }, + { + "epoch": 0.218, + "grad_norm": 0.788629412651062, + "learning_rate": 0.00015655655655655656, + "loss": 1.9961, + "step": 2180 + }, + { + "epoch": 0.2185, + "grad_norm": 0.7576528787612915, + "learning_rate": 0.00015645645645645645, + "loss": 1.9911, + "step": 2185 + }, + { + "epoch": 0.219, + "grad_norm": 0.7708572149276733, + "learning_rate": 0.00015635635635635636, + "loss": 1.9792, + "step": 2190 + }, + { + "epoch": 0.2195, + "grad_norm": 0.8041749000549316, + "learning_rate": 0.00015625625625625625, + "loss": 2.006, + "step": 2195 + }, + { + "epoch": 0.22, + "grad_norm": 0.8431360125541687, + "learning_rate": 0.00015615615615615616, + "loss": 2.0173, + "step": 2200 + }, + { + "epoch": 0.2205, + "grad_norm": 0.8387967348098755, + "learning_rate": 0.00015605605605605608, + "loss": 1.9973, + "step": 2205 + }, + { + "epoch": 0.221, + "grad_norm": 0.8072513341903687, + "learning_rate": 0.00015595595595595596, + "loss": 1.9921, + "step": 2210 + }, + { + "epoch": 0.2215, + "grad_norm": 0.8014965057373047, + "learning_rate": 0.00015585585585585588, + "loss": 1.9881, + "step": 2215 + }, + { + "epoch": 0.222, + "grad_norm": 0.7723069787025452, + "learning_rate": 0.00015575575575575576, + "loss": 1.9993, + "step": 2220 + }, + { + "epoch": 0.2225, + "grad_norm": 0.8190085887908936, + "learning_rate": 0.00015565565565565565, + "loss": 2.0015, + "step": 2225 + }, + { + "epoch": 0.223, + "grad_norm": 0.7893680334091187, + "learning_rate": 0.00015555555555555556, + "loss": 1.9983, + "step": 2230 + }, + { + "epoch": 0.2235, + "grad_norm": 0.7632356286048889, + "learning_rate": 0.00015545545545545545, + "loss": 2.0039, + "step": 2235 + }, + { + "epoch": 0.224, + "grad_norm": 0.7753027677536011, + "learning_rate": 0.00015535535535535536, + "loss": 1.9878, + "step": 2240 + }, + { + "epoch": 0.2245, + "grad_norm": 0.7894906997680664, + "learning_rate": 0.00015525525525525525, + "loss": 1.997, + "step": 2245 + }, + { + "epoch": 0.225, + "grad_norm": 0.8126510977745056, + "learning_rate": 0.00015515515515515516, + "loss": 1.9966, + "step": 2250 + }, + { + "epoch": 0.2255, + "grad_norm": 0.8427388668060303, + "learning_rate": 0.00015505505505505508, + "loss": 2.0033, + "step": 2255 + }, + { + "epoch": 0.226, + "grad_norm": 0.8301752805709839, + "learning_rate": 0.00015495495495495496, + "loss": 2.0081, + "step": 2260 + }, + { + "epoch": 0.2265, + "grad_norm": 0.7624394297599792, + "learning_rate": 0.00015485485485485488, + "loss": 2.0072, + "step": 2265 + }, + { + "epoch": 0.227, + "grad_norm": 0.7501481175422668, + "learning_rate": 0.00015475475475475476, + "loss": 2.0077, + "step": 2270 + }, + { + "epoch": 0.2275, + "grad_norm": 0.7723734378814697, + "learning_rate": 0.00015465465465465465, + "loss": 1.9989, + "step": 2275 + }, + { + "epoch": 0.228, + "grad_norm": 0.7647537589073181, + "learning_rate": 0.00015455455455455456, + "loss": 1.9978, + "step": 2280 + }, + { + "epoch": 0.2285, + "grad_norm": 0.7880849838256836, + "learning_rate": 0.00015445445445445445, + "loss": 1.9774, + "step": 2285 + }, + { + "epoch": 0.229, + "grad_norm": 0.7714458107948303, + "learning_rate": 0.00015435435435435436, + "loss": 1.9799, + "step": 2290 + }, + { + "epoch": 0.2295, + "grad_norm": 0.7856618762016296, + "learning_rate": 0.00015425425425425425, + "loss": 1.9794, + "step": 2295 + }, + { + "epoch": 0.23, + "grad_norm": 0.813881516456604, + "learning_rate": 0.00015415415415415414, + "loss": 2.0075, + "step": 2300 + }, + { + "epoch": 0.2305, + "grad_norm": 0.7762358784675598, + "learning_rate": 0.00015405405405405405, + "loss": 2.0185, + "step": 2305 + }, + { + "epoch": 0.231, + "grad_norm": 0.766732931137085, + "learning_rate": 0.00015395395395395397, + "loss": 1.9986, + "step": 2310 + }, + { + "epoch": 0.2315, + "grad_norm": 0.7683066129684448, + "learning_rate": 0.00015385385385385388, + "loss": 2.0131, + "step": 2315 + }, + { + "epoch": 0.232, + "grad_norm": 0.7804152369499207, + "learning_rate": 0.00015375375375375377, + "loss": 2.0089, + "step": 2320 + }, + { + "epoch": 0.2325, + "grad_norm": 0.7836987376213074, + "learning_rate": 0.00015365365365365365, + "loss": 1.9976, + "step": 2325 + }, + { + "epoch": 0.233, + "grad_norm": 0.823605477809906, + "learning_rate": 0.00015355355355355357, + "loss": 2.0005, + "step": 2330 + }, + { + "epoch": 0.2335, + "grad_norm": 0.8343596458435059, + "learning_rate": 0.00015345345345345345, + "loss": 2.015, + "step": 2335 + }, + { + "epoch": 0.234, + "grad_norm": 0.8635172247886658, + "learning_rate": 0.00015335335335335337, + "loss": 2.0002, + "step": 2340 + }, + { + "epoch": 0.2345, + "grad_norm": 0.840971052646637, + "learning_rate": 0.00015325325325325325, + "loss": 1.9847, + "step": 2345 + }, + { + "epoch": 0.235, + "grad_norm": 0.888761043548584, + "learning_rate": 0.00015315315315315314, + "loss": 1.9879, + "step": 2350 + }, + { + "epoch": 0.2355, + "grad_norm": 0.7987576723098755, + "learning_rate": 0.00015305305305305305, + "loss": 1.9885, + "step": 2355 + }, + { + "epoch": 0.236, + "grad_norm": 0.781504213809967, + "learning_rate": 0.00015295295295295297, + "loss": 1.9891, + "step": 2360 + }, + { + "epoch": 0.2365, + "grad_norm": 0.8169000148773193, + "learning_rate": 0.00015285285285285288, + "loss": 1.974, + "step": 2365 + }, + { + "epoch": 0.237, + "grad_norm": 0.764177680015564, + "learning_rate": 0.00015275275275275277, + "loss": 1.974, + "step": 2370 + }, + { + "epoch": 0.2375, + "grad_norm": 0.8093706369400024, + "learning_rate": 0.00015265265265265265, + "loss": 1.9897, + "step": 2375 + }, + { + "epoch": 0.238, + "grad_norm": 0.8349776268005371, + "learning_rate": 0.00015255255255255257, + "loss": 2.0002, + "step": 2380 + }, + { + "epoch": 0.2385, + "grad_norm": 0.831120491027832, + "learning_rate": 0.00015245245245245245, + "loss": 1.9978, + "step": 2385 + }, + { + "epoch": 0.239, + "grad_norm": 0.79282546043396, + "learning_rate": 0.00015235235235235237, + "loss": 2.003, + "step": 2390 + }, + { + "epoch": 0.2395, + "grad_norm": 0.7896937727928162, + "learning_rate": 0.00015225225225225225, + "loss": 1.9832, + "step": 2395 + }, + { + "epoch": 0.24, + "grad_norm": 0.7645019292831421, + "learning_rate": 0.00015215215215215214, + "loss": 1.983, + "step": 2400 + }, + { + "epoch": 0.2405, + "grad_norm": 0.809862494468689, + "learning_rate": 0.00015205205205205205, + "loss": 1.9912, + "step": 2405 + }, + { + "epoch": 0.241, + "grad_norm": 0.7760394215583801, + "learning_rate": 0.00015195195195195194, + "loss": 1.978, + "step": 2410 + }, + { + "epoch": 0.2415, + "grad_norm": 0.8623340129852295, + "learning_rate": 0.00015185185185185185, + "loss": 1.9902, + "step": 2415 + }, + { + "epoch": 0.242, + "grad_norm": 0.8047596216201782, + "learning_rate": 0.00015175175175175177, + "loss": 2.011, + "step": 2420 + }, + { + "epoch": 0.2425, + "grad_norm": 0.7739080786705017, + "learning_rate": 0.00015165165165165165, + "loss": 1.981, + "step": 2425 + }, + { + "epoch": 0.243, + "grad_norm": 0.7927338480949402, + "learning_rate": 0.00015155155155155157, + "loss": 1.9814, + "step": 2430 + }, + { + "epoch": 0.2435, + "grad_norm": 0.8810697197914124, + "learning_rate": 0.00015145145145145146, + "loss": 1.9664, + "step": 2435 + }, + { + "epoch": 0.244, + "grad_norm": 0.860685408115387, + "learning_rate": 0.00015135135135135137, + "loss": 1.9842, + "step": 2440 + }, + { + "epoch": 0.2445, + "grad_norm": 0.9384279847145081, + "learning_rate": 0.00015125125125125126, + "loss": 1.9657, + "step": 2445 + }, + { + "epoch": 0.245, + "grad_norm": 0.9265758395195007, + "learning_rate": 0.00015115115115115114, + "loss": 1.99, + "step": 2450 + }, + { + "epoch": 0.2455, + "grad_norm": 0.8147779703140259, + "learning_rate": 0.00015105105105105106, + "loss": 1.9825, + "step": 2455 + }, + { + "epoch": 0.246, + "grad_norm": 0.7943310141563416, + "learning_rate": 0.00015095095095095094, + "loss": 1.9886, + "step": 2460 + }, + { + "epoch": 0.2465, + "grad_norm": 0.8120606541633606, + "learning_rate": 0.00015085085085085086, + "loss": 1.9716, + "step": 2465 + }, + { + "epoch": 0.247, + "grad_norm": 0.7622060179710388, + "learning_rate": 0.00015075075075075077, + "loss": 1.9959, + "step": 2470 + }, + { + "epoch": 0.2475, + "grad_norm": 0.8406639695167542, + "learning_rate": 0.00015065065065065066, + "loss": 1.9895, + "step": 2475 + }, + { + "epoch": 0.248, + "grad_norm": 0.786904513835907, + "learning_rate": 0.00015055055055055057, + "loss": 1.989, + "step": 2480 + }, + { + "epoch": 0.2485, + "grad_norm": 0.8092778325080872, + "learning_rate": 0.00015045045045045046, + "loss": 1.9998, + "step": 2485 + }, + { + "epoch": 0.249, + "grad_norm": 0.826165497303009, + "learning_rate": 0.00015035035035035037, + "loss": 2.0039, + "step": 2490 + }, + { + "epoch": 0.2495, + "grad_norm": 0.786272406578064, + "learning_rate": 0.00015025025025025026, + "loss": 1.9731, + "step": 2495 + }, + { + "epoch": 0.25, + "grad_norm": 0.7633465528488159, + "learning_rate": 0.00015015015015015014, + "loss": 1.982, + "step": 2500 + }, + { + "epoch": 0.2505, + "grad_norm": 0.7651098966598511, + "learning_rate": 0.00015005005005005006, + "loss": 1.9942, + "step": 2505 + }, + { + "epoch": 0.251, + "grad_norm": 0.785978376865387, + "learning_rate": 0.00014994994994994994, + "loss": 2.0017, + "step": 2510 + }, + { + "epoch": 0.2515, + "grad_norm": 0.8050821423530579, + "learning_rate": 0.00014984984984984986, + "loss": 1.9862, + "step": 2515 + }, + { + "epoch": 0.252, + "grad_norm": 0.8367516398429871, + "learning_rate": 0.00014974974974974974, + "loss": 1.9739, + "step": 2520 + }, + { + "epoch": 0.2525, + "grad_norm": 0.8357223272323608, + "learning_rate": 0.00014964964964964966, + "loss": 2.0004, + "step": 2525 + }, + { + "epoch": 0.253, + "grad_norm": 0.8153281211853027, + "learning_rate": 0.00014954954954954957, + "loss": 1.972, + "step": 2530 + }, + { + "epoch": 0.2535, + "grad_norm": 0.784550130367279, + "learning_rate": 0.00014944944944944946, + "loss": 1.9746, + "step": 2535 + }, + { + "epoch": 0.254, + "grad_norm": 0.8016824126243591, + "learning_rate": 0.00014934934934934937, + "loss": 1.9947, + "step": 2540 + }, + { + "epoch": 0.2545, + "grad_norm": 0.767263650894165, + "learning_rate": 0.00014924924924924926, + "loss": 1.9629, + "step": 2545 + }, + { + "epoch": 0.255, + "grad_norm": 0.7741748690605164, + "learning_rate": 0.00014914914914914914, + "loss": 1.9824, + "step": 2550 + }, + { + "epoch": 0.2555, + "grad_norm": 0.7979781627655029, + "learning_rate": 0.00014904904904904906, + "loss": 1.9689, + "step": 2555 + }, + { + "epoch": 0.256, + "grad_norm": 0.7703980207443237, + "learning_rate": 0.00014894894894894895, + "loss": 1.9789, + "step": 2560 + }, + { + "epoch": 0.2565, + "grad_norm": 0.7330608367919922, + "learning_rate": 0.00014884884884884886, + "loss": 1.9837, + "step": 2565 + }, + { + "epoch": 0.257, + "grad_norm": 0.8055962324142456, + "learning_rate": 0.00014874874874874875, + "loss": 1.9865, + "step": 2570 + }, + { + "epoch": 0.2575, + "grad_norm": 0.7900416254997253, + "learning_rate": 0.00014864864864864866, + "loss": 1.9916, + "step": 2575 + }, + { + "epoch": 0.258, + "grad_norm": 0.8404157161712646, + "learning_rate": 0.00014854854854854857, + "loss": 1.9719, + "step": 2580 + }, + { + "epoch": 0.2585, + "grad_norm": 0.8460199236869812, + "learning_rate": 0.00014844844844844846, + "loss": 1.9903, + "step": 2585 + }, + { + "epoch": 0.259, + "grad_norm": 0.771557092666626, + "learning_rate": 0.00014834834834834837, + "loss": 1.9923, + "step": 2590 + }, + { + "epoch": 0.2595, + "grad_norm": 0.8946308493614197, + "learning_rate": 0.00014824824824824826, + "loss": 1.9886, + "step": 2595 + }, + { + "epoch": 0.26, + "grad_norm": 0.813717782497406, + "learning_rate": 0.00014814814814814815, + "loss": 2.0069, + "step": 2600 + }, + { + "epoch": 0.2605, + "grad_norm": 0.8274906277656555, + "learning_rate": 0.00014804804804804806, + "loss": 1.9853, + "step": 2605 + }, + { + "epoch": 0.261, + "grad_norm": 0.7455735802650452, + "learning_rate": 0.00014794794794794795, + "loss": 1.9851, + "step": 2610 + }, + { + "epoch": 0.2615, + "grad_norm": 0.7664053440093994, + "learning_rate": 0.00014784784784784786, + "loss": 2.0061, + "step": 2615 + }, + { + "epoch": 0.262, + "grad_norm": 0.7694225311279297, + "learning_rate": 0.00014774774774774775, + "loss": 1.9826, + "step": 2620 + }, + { + "epoch": 0.2625, + "grad_norm": 0.8089345097541809, + "learning_rate": 0.00014764764764764763, + "loss": 1.9734, + "step": 2625 + }, + { + "epoch": 0.263, + "grad_norm": 0.8007687926292419, + "learning_rate": 0.00014754754754754755, + "loss": 1.9949, + "step": 2630 + }, + { + "epoch": 0.2635, + "grad_norm": 0.8104939460754395, + "learning_rate": 0.00014744744744744746, + "loss": 1.9826, + "step": 2635 + }, + { + "epoch": 0.264, + "grad_norm": 0.7715001106262207, + "learning_rate": 0.00014734734734734737, + "loss": 1.9773, + "step": 2640 + }, + { + "epoch": 0.2645, + "grad_norm": 0.8055933713912964, + "learning_rate": 0.00014724724724724726, + "loss": 1.9919, + "step": 2645 + }, + { + "epoch": 0.265, + "grad_norm": 0.7547632455825806, + "learning_rate": 0.00014714714714714715, + "loss": 1.9808, + "step": 2650 + }, + { + "epoch": 0.2655, + "grad_norm": 0.7735660076141357, + "learning_rate": 0.00014704704704704706, + "loss": 1.9856, + "step": 2655 + }, + { + "epoch": 0.266, + "grad_norm": 0.773932933807373, + "learning_rate": 0.00014694694694694695, + "loss": 1.9599, + "step": 2660 + }, + { + "epoch": 0.2665, + "grad_norm": 0.7784350514411926, + "learning_rate": 0.00014684684684684686, + "loss": 1.9867, + "step": 2665 + }, + { + "epoch": 0.267, + "grad_norm": 0.8424972295761108, + "learning_rate": 0.00014674674674674675, + "loss": 1.9754, + "step": 2670 + }, + { + "epoch": 0.2675, + "grad_norm": 0.7852407693862915, + "learning_rate": 0.00014664664664664663, + "loss": 1.9882, + "step": 2675 + }, + { + "epoch": 0.268, + "grad_norm": 0.8432037830352783, + "learning_rate": 0.00014654654654654655, + "loss": 1.9781, + "step": 2680 + }, + { + "epoch": 0.2685, + "grad_norm": 0.7774507999420166, + "learning_rate": 0.00014644644644644646, + "loss": 2.0009, + "step": 2685 + }, + { + "epoch": 0.269, + "grad_norm": 0.7801546454429626, + "learning_rate": 0.00014634634634634638, + "loss": 1.966, + "step": 2690 + }, + { + "epoch": 0.2695, + "grad_norm": 0.7551014423370361, + "learning_rate": 0.00014624624624624626, + "loss": 1.9904, + "step": 2695 + }, + { + "epoch": 0.27, + "grad_norm": 0.8055344820022583, + "learning_rate": 0.00014614614614614615, + "loss": 1.966, + "step": 2700 + }, + { + "epoch": 0.2705, + "grad_norm": 0.7711438536643982, + "learning_rate": 0.00014604604604604606, + "loss": 1.9731, + "step": 2705 + }, + { + "epoch": 0.271, + "grad_norm": 0.7846922278404236, + "learning_rate": 0.00014594594594594595, + "loss": 1.9904, + "step": 2710 + }, + { + "epoch": 0.2715, + "grad_norm": 0.7844250202178955, + "learning_rate": 0.00014584584584584586, + "loss": 1.9778, + "step": 2715 + }, + { + "epoch": 0.272, + "grad_norm": 0.7908750176429749, + "learning_rate": 0.00014574574574574575, + "loss": 1.9892, + "step": 2720 + }, + { + "epoch": 0.2725, + "grad_norm": 0.759119987487793, + "learning_rate": 0.00014564564564564564, + "loss": 1.9888, + "step": 2725 + }, + { + "epoch": 0.273, + "grad_norm": 0.7900999188423157, + "learning_rate": 0.00014554554554554555, + "loss": 1.9869, + "step": 2730 + }, + { + "epoch": 0.2735, + "grad_norm": 0.8262436389923096, + "learning_rate": 0.00014544544544544544, + "loss": 1.9966, + "step": 2735 + }, + { + "epoch": 0.274, + "grad_norm": 0.753371000289917, + "learning_rate": 0.00014534534534534535, + "loss": 1.9793, + "step": 2740 + }, + { + "epoch": 0.2745, + "grad_norm": 0.8318740725517273, + "learning_rate": 0.00014524524524524526, + "loss": 1.9733, + "step": 2745 + }, + { + "epoch": 0.275, + "grad_norm": 0.784440279006958, + "learning_rate": 0.00014514514514514515, + "loss": 1.9677, + "step": 2750 + }, + { + "epoch": 0.2755, + "grad_norm": 0.7962784767150879, + "learning_rate": 0.00014504504504504506, + "loss": 1.9672, + "step": 2755 + }, + { + "epoch": 0.276, + "grad_norm": 0.7986271381378174, + "learning_rate": 0.00014494494494494495, + "loss": 1.9693, + "step": 2760 + }, + { + "epoch": 0.2765, + "grad_norm": 0.742120623588562, + "learning_rate": 0.00014484484484484486, + "loss": 1.9633, + "step": 2765 + }, + { + "epoch": 0.277, + "grad_norm": 0.8292919397354126, + "learning_rate": 0.00014474474474474475, + "loss": 1.9675, + "step": 2770 + }, + { + "epoch": 0.2775, + "grad_norm": 0.8410685062408447, + "learning_rate": 0.00014464464464464464, + "loss": 1.9717, + "step": 2775 + }, + { + "epoch": 0.278, + "grad_norm": 0.9076857566833496, + "learning_rate": 0.00014454454454454455, + "loss": 1.9846, + "step": 2780 + }, + { + "epoch": 0.2785, + "grad_norm": 0.7975298762321472, + "learning_rate": 0.00014444444444444444, + "loss": 1.9443, + "step": 2785 + }, + { + "epoch": 0.279, + "grad_norm": 0.9177993535995483, + "learning_rate": 0.00014434434434434435, + "loss": 1.9672, + "step": 2790 + }, + { + "epoch": 0.2795, + "grad_norm": 1.0301792621612549, + "learning_rate": 0.00014424424424424427, + "loss": 1.9699, + "step": 2795 + }, + { + "epoch": 0.28, + "grad_norm": 1.0027192831039429, + "learning_rate": 0.00014414414414414415, + "loss": 1.9778, + "step": 2800 + }, + { + "epoch": 0.2805, + "grad_norm": 0.8336755037307739, + "learning_rate": 0.00014404404404404407, + "loss": 1.9799, + "step": 2805 + }, + { + "epoch": 0.281, + "grad_norm": 0.8099704384803772, + "learning_rate": 0.00014394394394394395, + "loss": 1.9721, + "step": 2810 + }, + { + "epoch": 0.2815, + "grad_norm": 0.7808539867401123, + "learning_rate": 0.00014384384384384387, + "loss": 1.9807, + "step": 2815 + }, + { + "epoch": 0.282, + "grad_norm": 0.7895110845565796, + "learning_rate": 0.00014374374374374375, + "loss": 1.9698, + "step": 2820 + }, + { + "epoch": 0.2825, + "grad_norm": 0.7536469101905823, + "learning_rate": 0.00014364364364364364, + "loss": 1.9707, + "step": 2825 + }, + { + "epoch": 0.283, + "grad_norm": 0.8078683614730835, + "learning_rate": 0.00014354354354354355, + "loss": 1.9564, + "step": 2830 + }, + { + "epoch": 0.2835, + "grad_norm": 0.7899840474128723, + "learning_rate": 0.00014344344344344344, + "loss": 1.9601, + "step": 2835 + }, + { + "epoch": 0.284, + "grad_norm": 0.7988283634185791, + "learning_rate": 0.00014334334334334333, + "loss": 1.9826, + "step": 2840 + }, + { + "epoch": 0.2845, + "grad_norm": 0.8281169533729553, + "learning_rate": 0.00014324324324324324, + "loss": 1.9715, + "step": 2845 + }, + { + "epoch": 0.285, + "grad_norm": 0.7911503911018372, + "learning_rate": 0.00014314314314314315, + "loss": 1.9733, + "step": 2850 + }, + { + "epoch": 0.2855, + "grad_norm": 0.7935109734535217, + "learning_rate": 0.00014304304304304307, + "loss": 1.9559, + "step": 2855 + }, + { + "epoch": 0.286, + "grad_norm": 0.8028689026832581, + "learning_rate": 0.00014294294294294295, + "loss": 1.9719, + "step": 2860 + }, + { + "epoch": 0.2865, + "grad_norm": 0.7638905048370361, + "learning_rate": 0.00014284284284284284, + "loss": 1.9718, + "step": 2865 + }, + { + "epoch": 0.287, + "grad_norm": 0.7452086806297302, + "learning_rate": 0.00014274274274274275, + "loss": 1.972, + "step": 2870 + }, + { + "epoch": 0.2875, + "grad_norm": 0.7905741930007935, + "learning_rate": 0.00014264264264264264, + "loss": 1.9583, + "step": 2875 + }, + { + "epoch": 0.288, + "grad_norm": 0.7474929690361023, + "learning_rate": 0.00014254254254254255, + "loss": 1.9743, + "step": 2880 + }, + { + "epoch": 0.2885, + "grad_norm": 0.8252883553504944, + "learning_rate": 0.00014244244244244244, + "loss": 1.941, + "step": 2885 + }, + { + "epoch": 0.289, + "grad_norm": 0.8231001496315002, + "learning_rate": 0.00014234234234234233, + "loss": 1.9683, + "step": 2890 + }, + { + "epoch": 0.2895, + "grad_norm": 0.7783549427986145, + "learning_rate": 0.00014224224224224224, + "loss": 1.9832, + "step": 2895 + }, + { + "epoch": 0.29, + "grad_norm": 0.7698352932929993, + "learning_rate": 0.00014214214214214215, + "loss": 1.967, + "step": 2900 + }, + { + "epoch": 0.2905, + "grad_norm": 0.8160349726676941, + "learning_rate": 0.00014204204204204207, + "loss": 1.9633, + "step": 2905 + }, + { + "epoch": 0.291, + "grad_norm": 0.8119205832481384, + "learning_rate": 0.00014194194194194195, + "loss": 1.9799, + "step": 2910 + }, + { + "epoch": 0.2915, + "grad_norm": 0.7536299824714661, + "learning_rate": 0.00014184184184184184, + "loss": 1.9761, + "step": 2915 + }, + { + "epoch": 0.292, + "grad_norm": 0.8390820622444153, + "learning_rate": 0.00014174174174174176, + "loss": 1.984, + "step": 2920 + }, + { + "epoch": 0.2925, + "grad_norm": 0.7603803277015686, + "learning_rate": 0.00014164164164164164, + "loss": 1.9673, + "step": 2925 + }, + { + "epoch": 0.293, + "grad_norm": 0.8152424693107605, + "learning_rate": 0.00014154154154154156, + "loss": 1.9637, + "step": 2930 + }, + { + "epoch": 0.2935, + "grad_norm": 0.8138707876205444, + "learning_rate": 0.00014144144144144144, + "loss": 1.9587, + "step": 2935 + }, + { + "epoch": 0.294, + "grad_norm": 0.7616044282913208, + "learning_rate": 0.00014134134134134133, + "loss": 1.9424, + "step": 2940 + }, + { + "epoch": 0.2945, + "grad_norm": 0.7655227184295654, + "learning_rate": 0.00014124124124124124, + "loss": 1.957, + "step": 2945 + }, + { + "epoch": 0.295, + "grad_norm": 0.8408180475234985, + "learning_rate": 0.00014114114114114113, + "loss": 1.9452, + "step": 2950 + }, + { + "epoch": 0.2955, + "grad_norm": 0.7936397194862366, + "learning_rate": 0.00014104104104104104, + "loss": 1.9595, + "step": 2955 + }, + { + "epoch": 0.296, + "grad_norm": 0.7944901585578918, + "learning_rate": 0.00014094094094094096, + "loss": 1.9666, + "step": 2960 + }, + { + "epoch": 0.2965, + "grad_norm": 0.818505585193634, + "learning_rate": 0.00014084084084084084, + "loss": 1.9738, + "step": 2965 + }, + { + "epoch": 0.297, + "grad_norm": 0.8084187507629395, + "learning_rate": 0.00014074074074074076, + "loss": 1.9401, + "step": 2970 + }, + { + "epoch": 0.2975, + "grad_norm": 0.791145920753479, + "learning_rate": 0.00014064064064064064, + "loss": 1.9562, + "step": 2975 + }, + { + "epoch": 0.298, + "grad_norm": 0.7604819536209106, + "learning_rate": 0.00014054054054054056, + "loss": 1.9602, + "step": 2980 + }, + { + "epoch": 0.2985, + "grad_norm": 0.7864161133766174, + "learning_rate": 0.00014044044044044044, + "loss": 1.9731, + "step": 2985 + }, + { + "epoch": 0.299, + "grad_norm": 0.8198469281196594, + "learning_rate": 0.00014034034034034033, + "loss": 1.9613, + "step": 2990 + }, + { + "epoch": 0.2995, + "grad_norm": 0.8647459745407104, + "learning_rate": 0.00014024024024024024, + "loss": 1.9397, + "step": 2995 + }, + { + "epoch": 0.3, + "grad_norm": 0.7643691897392273, + "learning_rate": 0.00014014014014014013, + "loss": 1.9646, + "step": 3000 + }, + { + "epoch": 0.3005, + "grad_norm": 0.7736343145370483, + "learning_rate": 0.00014004004004004004, + "loss": 1.9638, + "step": 3005 + }, + { + "epoch": 0.301, + "grad_norm": 0.7389901876449585, + "learning_rate": 0.00013993993993993996, + "loss": 1.9815, + "step": 3010 + }, + { + "epoch": 0.3015, + "grad_norm": 0.7692343592643738, + "learning_rate": 0.00013983983983983984, + "loss": 1.9787, + "step": 3015 + }, + { + "epoch": 0.302, + "grad_norm": 0.7531271576881409, + "learning_rate": 0.00013973973973973976, + "loss": 1.9597, + "step": 3020 + }, + { + "epoch": 0.3025, + "grad_norm": 0.7814120054244995, + "learning_rate": 0.00013963963963963964, + "loss": 1.9702, + "step": 3025 + }, + { + "epoch": 0.303, + "grad_norm": 0.757296621799469, + "learning_rate": 0.00013953953953953956, + "loss": 1.9745, + "step": 3030 + }, + { + "epoch": 0.3035, + "grad_norm": 0.8460572361946106, + "learning_rate": 0.00013943943943943944, + "loss": 1.9714, + "step": 3035 + }, + { + "epoch": 0.304, + "grad_norm": 0.8126088380813599, + "learning_rate": 0.00013933933933933933, + "loss": 1.973, + "step": 3040 + }, + { + "epoch": 0.3045, + "grad_norm": 0.7975168228149414, + "learning_rate": 0.00013923923923923925, + "loss": 1.9692, + "step": 3045 + }, + { + "epoch": 0.305, + "grad_norm": 0.7773084044456482, + "learning_rate": 0.00013913913913913913, + "loss": 1.9489, + "step": 3050 + }, + { + "epoch": 0.3055, + "grad_norm": 0.7985555529594421, + "learning_rate": 0.00013903903903903905, + "loss": 1.9835, + "step": 3055 + }, + { + "epoch": 0.306, + "grad_norm": 0.8398511409759521, + "learning_rate": 0.00013893893893893893, + "loss": 1.9602, + "step": 3060 + }, + { + "epoch": 0.3065, + "grad_norm": 0.9037275910377502, + "learning_rate": 0.00013883883883883885, + "loss": 1.9629, + "step": 3065 + }, + { + "epoch": 0.307, + "grad_norm": 0.8658416271209717, + "learning_rate": 0.00013873873873873876, + "loss": 1.9702, + "step": 3070 + }, + { + "epoch": 0.3075, + "grad_norm": 0.7509240508079529, + "learning_rate": 0.00013863863863863865, + "loss": 1.9703, + "step": 3075 + }, + { + "epoch": 0.308, + "grad_norm": 0.7586889863014221, + "learning_rate": 0.00013853853853853856, + "loss": 1.9537, + "step": 3080 + }, + { + "epoch": 0.3085, + "grad_norm": 0.7828867435455322, + "learning_rate": 0.00013843843843843845, + "loss": 1.9686, + "step": 3085 + }, + { + "epoch": 0.309, + "grad_norm": 0.908487856388092, + "learning_rate": 0.00013833833833833833, + "loss": 1.9703, + "step": 3090 + }, + { + "epoch": 0.3095, + "grad_norm": 0.774718165397644, + "learning_rate": 0.00013823823823823825, + "loss": 1.9656, + "step": 3095 + }, + { + "epoch": 0.31, + "grad_norm": 0.7825801372528076, + "learning_rate": 0.00013813813813813813, + "loss": 1.9571, + "step": 3100 + }, + { + "epoch": 0.3105, + "grad_norm": 0.7940477132797241, + "learning_rate": 0.00013803803803803805, + "loss": 1.973, + "step": 3105 + }, + { + "epoch": 0.311, + "grad_norm": 0.7585093975067139, + "learning_rate": 0.00013793793793793793, + "loss": 1.9605, + "step": 3110 + }, + { + "epoch": 0.3115, + "grad_norm": 0.7673121690750122, + "learning_rate": 0.00013783783783783785, + "loss": 1.938, + "step": 3115 + }, + { + "epoch": 0.312, + "grad_norm": 0.8095937371253967, + "learning_rate": 0.00013773773773773776, + "loss": 1.9643, + "step": 3120 + }, + { + "epoch": 0.3125, + "grad_norm": 0.8239126801490784, + "learning_rate": 0.00013763763763763765, + "loss": 1.9655, + "step": 3125 + }, + { + "epoch": 0.313, + "grad_norm": 0.7611415386199951, + "learning_rate": 0.00013753753753753756, + "loss": 1.966, + "step": 3130 + }, + { + "epoch": 0.3135, + "grad_norm": 0.8436517119407654, + "learning_rate": 0.00013743743743743745, + "loss": 1.9885, + "step": 3135 + }, + { + "epoch": 0.314, + "grad_norm": 0.7741273045539856, + "learning_rate": 0.00013733733733733733, + "loss": 1.9593, + "step": 3140 + }, + { + "epoch": 0.3145, + "grad_norm": 0.8990844488143921, + "learning_rate": 0.00013723723723723725, + "loss": 1.9475, + "step": 3145 + }, + { + "epoch": 0.315, + "grad_norm": 0.8114355206489563, + "learning_rate": 0.00013713713713713713, + "loss": 1.9417, + "step": 3150 + }, + { + "epoch": 0.3155, + "grad_norm": 0.9088999032974243, + "learning_rate": 0.00013703703703703705, + "loss": 1.9529, + "step": 3155 + }, + { + "epoch": 0.316, + "grad_norm": 0.7836775183677673, + "learning_rate": 0.00013693693693693693, + "loss": 1.9442, + "step": 3160 + }, + { + "epoch": 0.3165, + "grad_norm": 0.7776234149932861, + "learning_rate": 0.00013683683683683682, + "loss": 1.9618, + "step": 3165 + }, + { + "epoch": 0.317, + "grad_norm": 0.8789812326431274, + "learning_rate": 0.00013673673673673673, + "loss": 1.9714, + "step": 3170 + }, + { + "epoch": 0.3175, + "grad_norm": 0.89927738904953, + "learning_rate": 0.00013663663663663665, + "loss": 1.9523, + "step": 3175 + }, + { + "epoch": 0.318, + "grad_norm": 0.8082011342048645, + "learning_rate": 0.00013653653653653656, + "loss": 1.9535, + "step": 3180 + }, + { + "epoch": 0.3185, + "grad_norm": 0.7667655348777771, + "learning_rate": 0.00013643643643643645, + "loss": 1.9307, + "step": 3185 + }, + { + "epoch": 0.319, + "grad_norm": 0.7933686971664429, + "learning_rate": 0.00013633633633633634, + "loss": 1.9538, + "step": 3190 + }, + { + "epoch": 0.3195, + "grad_norm": 0.800533652305603, + "learning_rate": 0.00013623623623623625, + "loss": 1.9661, + "step": 3195 + }, + { + "epoch": 0.32, + "grad_norm": 0.7852665781974792, + "learning_rate": 0.00013613613613613614, + "loss": 1.9528, + "step": 3200 + }, + { + "epoch": 0.3205, + "grad_norm": 0.8265931010246277, + "learning_rate": 0.00013603603603603605, + "loss": 1.9623, + "step": 3205 + }, + { + "epoch": 0.321, + "grad_norm": 0.8010437488555908, + "learning_rate": 0.00013593593593593594, + "loss": 1.9623, + "step": 3210 + }, + { + "epoch": 0.3215, + "grad_norm": 0.7773730158805847, + "learning_rate": 0.00013583583583583582, + "loss": 1.9646, + "step": 3215 + }, + { + "epoch": 0.322, + "grad_norm": 0.8105774521827698, + "learning_rate": 0.00013573573573573574, + "loss": 1.9534, + "step": 3220 + }, + { + "epoch": 0.3225, + "grad_norm": 0.7743560075759888, + "learning_rate": 0.00013563563563563565, + "loss": 1.9436, + "step": 3225 + }, + { + "epoch": 0.323, + "grad_norm": 0.8030966520309448, + "learning_rate": 0.00013553553553553556, + "loss": 1.9516, + "step": 3230 + }, + { + "epoch": 0.3235, + "grad_norm": 0.8765146732330322, + "learning_rate": 0.00013543543543543545, + "loss": 1.9715, + "step": 3235 + }, + { + "epoch": 0.324, + "grad_norm": 0.7942567467689514, + "learning_rate": 0.00013533533533533534, + "loss": 1.9483, + "step": 3240 + }, + { + "epoch": 0.3245, + "grad_norm": 0.8173383474349976, + "learning_rate": 0.00013523523523523525, + "loss": 1.9529, + "step": 3245 + }, + { + "epoch": 0.325, + "grad_norm": 0.7865030169487, + "learning_rate": 0.00013513513513513514, + "loss": 1.9656, + "step": 3250 + }, + { + "epoch": 0.3255, + "grad_norm": 0.8991813659667969, + "learning_rate": 0.00013503503503503505, + "loss": 1.9551, + "step": 3255 + }, + { + "epoch": 0.326, + "grad_norm": 0.7669337391853333, + "learning_rate": 0.00013493493493493494, + "loss": 1.9618, + "step": 3260 + }, + { + "epoch": 0.3265, + "grad_norm": 0.8322509527206421, + "learning_rate": 0.00013483483483483482, + "loss": 1.9467, + "step": 3265 + }, + { + "epoch": 0.327, + "grad_norm": 0.7678415775299072, + "learning_rate": 0.00013473473473473474, + "loss": 1.9576, + "step": 3270 + }, + { + "epoch": 0.3275, + "grad_norm": 0.8185941576957703, + "learning_rate": 0.00013463463463463462, + "loss": 1.9719, + "step": 3275 + }, + { + "epoch": 0.328, + "grad_norm": 0.8121998906135559, + "learning_rate": 0.00013453453453453454, + "loss": 1.9538, + "step": 3280 + }, + { + "epoch": 0.3285, + "grad_norm": 0.8269667625427246, + "learning_rate": 0.00013443443443443445, + "loss": 1.9472, + "step": 3285 + }, + { + "epoch": 0.329, + "grad_norm": 0.7667022347450256, + "learning_rate": 0.00013433433433433434, + "loss": 1.976, + "step": 3290 + }, + { + "epoch": 0.3295, + "grad_norm": 0.794097363948822, + "learning_rate": 0.00013423423423423425, + "loss": 1.9703, + "step": 3295 + }, + { + "epoch": 0.33, + "grad_norm": 0.7591664791107178, + "learning_rate": 0.00013413413413413414, + "loss": 1.9523, + "step": 3300 + }, + { + "epoch": 0.3305, + "grad_norm": 0.7778351902961731, + "learning_rate": 0.00013403403403403405, + "loss": 1.9448, + "step": 3305 + }, + { + "epoch": 0.331, + "grad_norm": 0.7940652370452881, + "learning_rate": 0.00013393393393393394, + "loss": 1.9482, + "step": 3310 + }, + { + "epoch": 0.3315, + "grad_norm": 0.7958424091339111, + "learning_rate": 0.00013383383383383383, + "loss": 1.9496, + "step": 3315 + }, + { + "epoch": 0.332, + "grad_norm": 0.8664911389350891, + "learning_rate": 0.00013373373373373374, + "loss": 1.9537, + "step": 3320 + }, + { + "epoch": 0.3325, + "grad_norm": 0.8059619665145874, + "learning_rate": 0.00013363363363363363, + "loss": 1.9493, + "step": 3325 + }, + { + "epoch": 0.333, + "grad_norm": 0.7810567021369934, + "learning_rate": 0.00013353353353353354, + "loss": 1.9694, + "step": 3330 + }, + { + "epoch": 0.3335, + "grad_norm": 0.7973411679267883, + "learning_rate": 0.00013343343343343345, + "loss": 1.9506, + "step": 3335 + }, + { + "epoch": 0.334, + "grad_norm": 0.9919584393501282, + "learning_rate": 0.00013333333333333334, + "loss": 1.9544, + "step": 3340 + }, + { + "epoch": 0.3345, + "grad_norm": 0.7684592008590698, + "learning_rate": 0.00013323323323323325, + "loss": 1.9666, + "step": 3345 + }, + { + "epoch": 0.335, + "grad_norm": 0.7740269899368286, + "learning_rate": 0.00013313313313313314, + "loss": 1.9458, + "step": 3350 + }, + { + "epoch": 0.3355, + "grad_norm": 0.7702473402023315, + "learning_rate": 0.00013303303303303305, + "loss": 1.9768, + "step": 3355 + }, + { + "epoch": 0.336, + "grad_norm": 0.784784734249115, + "learning_rate": 0.00013293293293293294, + "loss": 1.9512, + "step": 3360 + }, + { + "epoch": 0.3365, + "grad_norm": 0.9200993180274963, + "learning_rate": 0.00013283283283283283, + "loss": 1.9477, + "step": 3365 + }, + { + "epoch": 0.337, + "grad_norm": 1.021840214729309, + "learning_rate": 0.00013273273273273274, + "loss": 1.9673, + "step": 3370 + }, + { + "epoch": 0.3375, + "grad_norm": 0.920347273349762, + "learning_rate": 0.00013263263263263263, + "loss": 1.9381, + "step": 3375 + }, + { + "epoch": 0.338, + "grad_norm": 0.7917675375938416, + "learning_rate": 0.00013253253253253254, + "loss": 1.943, + "step": 3380 + }, + { + "epoch": 0.3385, + "grad_norm": 0.7981655597686768, + "learning_rate": 0.00013243243243243243, + "loss": 1.9565, + "step": 3385 + }, + { + "epoch": 0.339, + "grad_norm": 0.7743932604789734, + "learning_rate": 0.00013233233233233234, + "loss": 1.9521, + "step": 3390 + }, + { + "epoch": 0.3395, + "grad_norm": 0.784078061580658, + "learning_rate": 0.00013223223223223225, + "loss": 1.9404, + "step": 3395 + }, + { + "epoch": 0.34, + "grad_norm": 0.7654576301574707, + "learning_rate": 0.00013213213213213214, + "loss": 1.9577, + "step": 3400 + }, + { + "epoch": 0.3405, + "grad_norm": 0.7969295382499695, + "learning_rate": 0.00013203203203203206, + "loss": 1.9403, + "step": 3405 + }, + { + "epoch": 0.341, + "grad_norm": 1.016737461090088, + "learning_rate": 0.00013193193193193194, + "loss": 1.9584, + "step": 3410 + }, + { + "epoch": 0.3415, + "grad_norm": 1.0509916543960571, + "learning_rate": 0.00013183183183183183, + "loss": 1.939, + "step": 3415 + }, + { + "epoch": 0.342, + "grad_norm": 0.9138502478599548, + "learning_rate": 0.00013173173173173174, + "loss": 1.9478, + "step": 3420 + }, + { + "epoch": 0.3425, + "grad_norm": 0.817069947719574, + "learning_rate": 0.00013163163163163163, + "loss": 1.9713, + "step": 3425 + }, + { + "epoch": 0.343, + "grad_norm": 0.9959232211112976, + "learning_rate": 0.00013153153153153154, + "loss": 1.9595, + "step": 3430 + }, + { + "epoch": 0.3435, + "grad_norm": 1.0368640422821045, + "learning_rate": 0.00013143143143143143, + "loss": 1.959, + "step": 3435 + }, + { + "epoch": 0.344, + "grad_norm": 0.7973247170448303, + "learning_rate": 0.00013133133133133134, + "loss": 1.9755, + "step": 3440 + }, + { + "epoch": 0.3445, + "grad_norm": 0.8196215033531189, + "learning_rate": 0.00013123123123123126, + "loss": 1.9437, + "step": 3445 + }, + { + "epoch": 0.345, + "grad_norm": 0.9840690493583679, + "learning_rate": 0.00013113113113113114, + "loss": 1.9537, + "step": 3450 + }, + { + "epoch": 0.3455, + "grad_norm": 0.9263918399810791, + "learning_rate": 0.00013103103103103103, + "loss": 1.9339, + "step": 3455 + }, + { + "epoch": 0.346, + "grad_norm": 0.7676291465759277, + "learning_rate": 0.00013093093093093094, + "loss": 1.9359, + "step": 3460 + }, + { + "epoch": 0.3465, + "grad_norm": 0.7748109698295593, + "learning_rate": 0.00013083083083083083, + "loss": 1.9464, + "step": 3465 + }, + { + "epoch": 0.347, + "grad_norm": 0.852546215057373, + "learning_rate": 0.00013073073073073074, + "loss": 1.934, + "step": 3470 + }, + { + "epoch": 0.3475, + "grad_norm": 0.9905356764793396, + "learning_rate": 0.00013063063063063063, + "loss": 1.9459, + "step": 3475 + }, + { + "epoch": 0.348, + "grad_norm": 0.8646652698516846, + "learning_rate": 0.00013053053053053052, + "loss": 1.9385, + "step": 3480 + }, + { + "epoch": 0.3485, + "grad_norm": 0.7634602189064026, + "learning_rate": 0.00013043043043043043, + "loss": 1.9474, + "step": 3485 + }, + { + "epoch": 0.349, + "grad_norm": 0.7793004512786865, + "learning_rate": 0.00013033033033033032, + "loss": 1.9551, + "step": 3490 + }, + { + "epoch": 0.3495, + "grad_norm": 0.7419679760932922, + "learning_rate": 0.00013023023023023023, + "loss": 1.9424, + "step": 3495 + }, + { + "epoch": 0.35, + "grad_norm": 0.7776840329170227, + "learning_rate": 0.00013013013013013014, + "loss": 1.9414, + "step": 3500 + }, + { + "epoch": 0.3505, + "grad_norm": 0.8862317800521851, + "learning_rate": 0.00013003003003003003, + "loss": 1.9629, + "step": 3505 + }, + { + "epoch": 0.351, + "grad_norm": 0.9258846044540405, + "learning_rate": 0.00012992992992992994, + "loss": 1.9242, + "step": 3510 + }, + { + "epoch": 0.3515, + "grad_norm": 0.7799050211906433, + "learning_rate": 0.00012982982982982983, + "loss": 1.963, + "step": 3515 + }, + { + "epoch": 0.352, + "grad_norm": 0.8912829160690308, + "learning_rate": 0.00012972972972972974, + "loss": 1.9574, + "step": 3520 + }, + { + "epoch": 0.3525, + "grad_norm": 0.905232846736908, + "learning_rate": 0.00012962962962962963, + "loss": 1.9294, + "step": 3525 + }, + { + "epoch": 0.353, + "grad_norm": 0.7626670002937317, + "learning_rate": 0.00012952952952952952, + "loss": 1.9524, + "step": 3530 + }, + { + "epoch": 0.3535, + "grad_norm": 0.7529788613319397, + "learning_rate": 0.00012942942942942943, + "loss": 1.9665, + "step": 3535 + }, + { + "epoch": 0.354, + "grad_norm": 0.7423688173294067, + "learning_rate": 0.00012932932932932932, + "loss": 1.9356, + "step": 3540 + }, + { + "epoch": 0.3545, + "grad_norm": 0.7545106410980225, + "learning_rate": 0.00012922922922922923, + "loss": 1.9385, + "step": 3545 + }, + { + "epoch": 0.355, + "grad_norm": 0.7768842577934265, + "learning_rate": 0.00012912912912912915, + "loss": 1.9444, + "step": 3550 + }, + { + "epoch": 0.3555, + "grad_norm": 0.7664159536361694, + "learning_rate": 0.00012902902902902903, + "loss": 1.9363, + "step": 3555 + }, + { + "epoch": 0.356, + "grad_norm": 0.796855628490448, + "learning_rate": 0.00012892892892892895, + "loss": 1.9445, + "step": 3560 + }, + { + "epoch": 0.3565, + "grad_norm": 0.7599654197692871, + "learning_rate": 0.00012882882882882883, + "loss": 1.9486, + "step": 3565 + }, + { + "epoch": 0.357, + "grad_norm": 0.8220765590667725, + "learning_rate": 0.00012872872872872875, + "loss": 1.9604, + "step": 3570 + }, + { + "epoch": 0.3575, + "grad_norm": 0.8476091027259827, + "learning_rate": 0.00012862862862862863, + "loss": 1.9389, + "step": 3575 + }, + { + "epoch": 0.358, + "grad_norm": 0.8238967061042786, + "learning_rate": 0.00012852852852852852, + "loss": 1.9527, + "step": 3580 + }, + { + "epoch": 0.3585, + "grad_norm": 0.8090390563011169, + "learning_rate": 0.00012842842842842843, + "loss": 1.9377, + "step": 3585 + }, + { + "epoch": 0.359, + "grad_norm": 0.7613897919654846, + "learning_rate": 0.00012832832832832832, + "loss": 1.9213, + "step": 3590 + }, + { + "epoch": 0.3595, + "grad_norm": 0.8270089626312256, + "learning_rate": 0.00012822822822822823, + "loss": 1.9519, + "step": 3595 + }, + { + "epoch": 0.36, + "grad_norm": 0.7741177082061768, + "learning_rate": 0.00012812812812812812, + "loss": 1.9569, + "step": 3600 + }, + { + "epoch": 0.3605, + "grad_norm": 0.8119099736213684, + "learning_rate": 0.00012802802802802803, + "loss": 1.9373, + "step": 3605 + }, + { + "epoch": 0.361, + "grad_norm": 0.778448224067688, + "learning_rate": 0.00012792792792792795, + "loss": 1.9433, + "step": 3610 + }, + { + "epoch": 0.3615, + "grad_norm": 0.7723468542098999, + "learning_rate": 0.00012782782782782783, + "loss": 1.9489, + "step": 3615 + }, + { + "epoch": 0.362, + "grad_norm": 0.8068646192550659, + "learning_rate": 0.00012772772772772775, + "loss": 1.9508, + "step": 3620 + }, + { + "epoch": 0.3625, + "grad_norm": 0.7997691631317139, + "learning_rate": 0.00012762762762762763, + "loss": 1.9296, + "step": 3625 + }, + { + "epoch": 0.363, + "grad_norm": 0.7968930006027222, + "learning_rate": 0.00012752752752752752, + "loss": 1.9388, + "step": 3630 + }, + { + "epoch": 0.3635, + "grad_norm": 0.7867845296859741, + "learning_rate": 0.00012742742742742743, + "loss": 1.9337, + "step": 3635 + }, + { + "epoch": 0.364, + "grad_norm": 0.7725551724433899, + "learning_rate": 0.00012732732732732732, + "loss": 1.9355, + "step": 3640 + }, + { + "epoch": 0.3645, + "grad_norm": 0.8146640658378601, + "learning_rate": 0.00012722722722722723, + "loss": 1.9349, + "step": 3645 + }, + { + "epoch": 0.365, + "grad_norm": 0.7650962471961975, + "learning_rate": 0.00012712712712712712, + "loss": 1.9581, + "step": 3650 + }, + { + "epoch": 0.3655, + "grad_norm": 0.7965732216835022, + "learning_rate": 0.00012702702702702703, + "loss": 1.951, + "step": 3655 + }, + { + "epoch": 0.366, + "grad_norm": 0.7692468166351318, + "learning_rate": 0.00012692692692692695, + "loss": 1.9464, + "step": 3660 + }, + { + "epoch": 0.3665, + "grad_norm": 0.7383764982223511, + "learning_rate": 0.00012682682682682684, + "loss": 1.9432, + "step": 3665 + }, + { + "epoch": 0.367, + "grad_norm": 0.7694110870361328, + "learning_rate": 0.00012672672672672675, + "loss": 1.9442, + "step": 3670 + }, + { + "epoch": 0.3675, + "grad_norm": 0.7646791338920593, + "learning_rate": 0.00012662662662662664, + "loss": 1.9124, + "step": 3675 + }, + { + "epoch": 0.368, + "grad_norm": 0.7893620133399963, + "learning_rate": 0.00012652652652652652, + "loss": 1.9336, + "step": 3680 + }, + { + "epoch": 0.3685, + "grad_norm": 0.8947069644927979, + "learning_rate": 0.00012642642642642644, + "loss": 1.9418, + "step": 3685 + }, + { + "epoch": 0.369, + "grad_norm": 0.8227481842041016, + "learning_rate": 0.00012632632632632632, + "loss": 1.9259, + "step": 3690 + }, + { + "epoch": 0.3695, + "grad_norm": 0.8941676020622253, + "learning_rate": 0.00012622622622622624, + "loss": 1.9474, + "step": 3695 + }, + { + "epoch": 0.37, + "grad_norm": 0.8401495218276978, + "learning_rate": 0.00012612612612612612, + "loss": 1.9454, + "step": 3700 + }, + { + "epoch": 0.3705, + "grad_norm": 0.8106552362442017, + "learning_rate": 0.00012602602602602604, + "loss": 1.9469, + "step": 3705 + }, + { + "epoch": 0.371, + "grad_norm": 0.7758846879005432, + "learning_rate": 0.00012592592592592592, + "loss": 1.9405, + "step": 3710 + }, + { + "epoch": 0.3715, + "grad_norm": 0.8738759756088257, + "learning_rate": 0.00012582582582582584, + "loss": 1.9212, + "step": 3715 + }, + { + "epoch": 0.372, + "grad_norm": 0.8900704979896545, + "learning_rate": 0.00012572572572572575, + "loss": 1.9482, + "step": 3720 + }, + { + "epoch": 0.3725, + "grad_norm": 0.8583644032478333, + "learning_rate": 0.00012562562562562564, + "loss": 1.9352, + "step": 3725 + }, + { + "epoch": 0.373, + "grad_norm": 0.7823512554168701, + "learning_rate": 0.00012552552552552552, + "loss": 1.9295, + "step": 3730 + }, + { + "epoch": 0.3735, + "grad_norm": 0.7929084897041321, + "learning_rate": 0.00012542542542542544, + "loss": 1.9361, + "step": 3735 + }, + { + "epoch": 0.374, + "grad_norm": 0.7727826833724976, + "learning_rate": 0.00012532532532532532, + "loss": 1.943, + "step": 3740 + }, + { + "epoch": 0.3745, + "grad_norm": 0.7919679284095764, + "learning_rate": 0.00012522522522522524, + "loss": 1.943, + "step": 3745 + }, + { + "epoch": 0.375, + "grad_norm": 0.7749269604682922, + "learning_rate": 0.00012512512512512512, + "loss": 1.9338, + "step": 3750 + }, + { + "epoch": 0.3755, + "grad_norm": 0.7870975732803345, + "learning_rate": 0.000125025025025025, + "loss": 1.9277, + "step": 3755 + }, + { + "epoch": 0.376, + "grad_norm": 0.7871671319007874, + "learning_rate": 0.00012492492492492492, + "loss": 1.9552, + "step": 3760 + }, + { + "epoch": 0.3765, + "grad_norm": 0.7836071848869324, + "learning_rate": 0.00012482482482482484, + "loss": 1.9263, + "step": 3765 + }, + { + "epoch": 0.377, + "grad_norm": 0.7796449065208435, + "learning_rate": 0.00012472472472472475, + "loss": 1.9495, + "step": 3770 + }, + { + "epoch": 0.3775, + "grad_norm": 0.7606745362281799, + "learning_rate": 0.00012462462462462464, + "loss": 1.9317, + "step": 3775 + }, + { + "epoch": 0.378, + "grad_norm": 0.7624865770339966, + "learning_rate": 0.00012452452452452452, + "loss": 1.951, + "step": 3780 + }, + { + "epoch": 0.3785, + "grad_norm": 0.7752624154090881, + "learning_rate": 0.00012442442442442444, + "loss": 1.9448, + "step": 3785 + }, + { + "epoch": 0.379, + "grad_norm": 0.8232024312019348, + "learning_rate": 0.00012432432432432433, + "loss": 1.9309, + "step": 3790 + }, + { + "epoch": 0.3795, + "grad_norm": 0.7860484719276428, + "learning_rate": 0.00012422422422422424, + "loss": 1.9443, + "step": 3795 + }, + { + "epoch": 0.38, + "grad_norm": 0.769604504108429, + "learning_rate": 0.00012412412412412413, + "loss": 1.9433, + "step": 3800 + }, + { + "epoch": 0.3805, + "grad_norm": 0.8487102389335632, + "learning_rate": 0.000124024024024024, + "loss": 1.9339, + "step": 3805 + }, + { + "epoch": 0.381, + "grad_norm": 0.8145004510879517, + "learning_rate": 0.00012392392392392393, + "loss": 1.943, + "step": 3810 + }, + { + "epoch": 0.3815, + "grad_norm": 0.8356045484542847, + "learning_rate": 0.0001238238238238238, + "loss": 1.932, + "step": 3815 + }, + { + "epoch": 0.382, + "grad_norm": 0.7990782856941223, + "learning_rate": 0.00012372372372372373, + "loss": 1.9458, + "step": 3820 + }, + { + "epoch": 0.3825, + "grad_norm": 0.7622951865196228, + "learning_rate": 0.00012362362362362364, + "loss": 1.9538, + "step": 3825 + }, + { + "epoch": 0.383, + "grad_norm": 0.796141505241394, + "learning_rate": 0.00012352352352352353, + "loss": 1.9274, + "step": 3830 + }, + { + "epoch": 0.3835, + "grad_norm": 0.9116307497024536, + "learning_rate": 0.00012342342342342344, + "loss": 1.9415, + "step": 3835 + }, + { + "epoch": 0.384, + "grad_norm": 0.7524915337562561, + "learning_rate": 0.00012332332332332333, + "loss": 1.9182, + "step": 3840 + }, + { + "epoch": 0.3845, + "grad_norm": 0.7611434459686279, + "learning_rate": 0.00012322322322322324, + "loss": 1.9306, + "step": 3845 + }, + { + "epoch": 0.385, + "grad_norm": 0.7478082180023193, + "learning_rate": 0.00012312312312312313, + "loss": 1.9239, + "step": 3850 + }, + { + "epoch": 0.3855, + "grad_norm": 0.7586308121681213, + "learning_rate": 0.000123023023023023, + "loss": 1.9332, + "step": 3855 + }, + { + "epoch": 0.386, + "grad_norm": 0.8614716529846191, + "learning_rate": 0.00012292292292292293, + "loss": 1.9583, + "step": 3860 + }, + { + "epoch": 0.3865, + "grad_norm": 0.7706379294395447, + "learning_rate": 0.00012282282282282281, + "loss": 1.9448, + "step": 3865 + }, + { + "epoch": 0.387, + "grad_norm": 0.802075982093811, + "learning_rate": 0.00012272272272272273, + "loss": 1.933, + "step": 3870 + }, + { + "epoch": 0.3875, + "grad_norm": 0.8200154900550842, + "learning_rate": 0.00012262262262262264, + "loss": 1.9213, + "step": 3875 + }, + { + "epoch": 0.388, + "grad_norm": 0.8005445599555969, + "learning_rate": 0.00012252252252252253, + "loss": 1.9423, + "step": 3880 + }, + { + "epoch": 0.3885, + "grad_norm": 0.9639005661010742, + "learning_rate": 0.00012242242242242244, + "loss": 1.928, + "step": 3885 + }, + { + "epoch": 0.389, + "grad_norm": 0.805856466293335, + "learning_rate": 0.00012232232232232233, + "loss": 1.9459, + "step": 3890 + }, + { + "epoch": 0.3895, + "grad_norm": 0.735449492931366, + "learning_rate": 0.00012222222222222224, + "loss": 1.933, + "step": 3895 + }, + { + "epoch": 0.39, + "grad_norm": 0.7601875066757202, + "learning_rate": 0.00012212212212212213, + "loss": 1.925, + "step": 3900 + }, + { + "epoch": 0.3905, + "grad_norm": 0.7551021575927734, + "learning_rate": 0.00012202202202202201, + "loss": 1.9213, + "step": 3905 + }, + { + "epoch": 0.391, + "grad_norm": 0.7619316577911377, + "learning_rate": 0.00012192192192192193, + "loss": 1.9242, + "step": 3910 + }, + { + "epoch": 0.3915, + "grad_norm": 0.8216850161552429, + "learning_rate": 0.00012182182182182183, + "loss": 1.927, + "step": 3915 + }, + { + "epoch": 0.392, + "grad_norm": 0.9015415906906128, + "learning_rate": 0.00012172172172172174, + "loss": 1.9438, + "step": 3920 + }, + { + "epoch": 0.3925, + "grad_norm": 0.9189796447753906, + "learning_rate": 0.00012162162162162163, + "loss": 1.9164, + "step": 3925 + }, + { + "epoch": 0.393, + "grad_norm": 0.799855649471283, + "learning_rate": 0.00012152152152152152, + "loss": 1.9502, + "step": 3930 + }, + { + "epoch": 0.3935, + "grad_norm": 0.7941702604293823, + "learning_rate": 0.00012142142142142143, + "loss": 1.9306, + "step": 3935 + }, + { + "epoch": 0.394, + "grad_norm": 0.8794786334037781, + "learning_rate": 0.00012132132132132133, + "loss": 1.9196, + "step": 3940 + }, + { + "epoch": 0.3945, + "grad_norm": 0.9179593920707703, + "learning_rate": 0.00012122122122122124, + "loss": 1.9362, + "step": 3945 + }, + { + "epoch": 0.395, + "grad_norm": 0.7571364641189575, + "learning_rate": 0.00012112112112112113, + "loss": 1.9292, + "step": 3950 + }, + { + "epoch": 0.3955, + "grad_norm": 0.8133040070533752, + "learning_rate": 0.00012102102102102102, + "loss": 1.9564, + "step": 3955 + }, + { + "epoch": 0.396, + "grad_norm": 0.7867616415023804, + "learning_rate": 0.00012092092092092093, + "loss": 1.9368, + "step": 3960 + }, + { + "epoch": 0.3965, + "grad_norm": 0.768710196018219, + "learning_rate": 0.00012082082082082083, + "loss": 1.9146, + "step": 3965 + }, + { + "epoch": 0.397, + "grad_norm": 0.8447054028511047, + "learning_rate": 0.00012072072072072073, + "loss": 1.9227, + "step": 3970 + }, + { + "epoch": 0.3975, + "grad_norm": 0.8007540702819824, + "learning_rate": 0.00012062062062062063, + "loss": 1.9518, + "step": 3975 + }, + { + "epoch": 0.398, + "grad_norm": 0.8003354668617249, + "learning_rate": 0.00012052052052052052, + "loss": 1.9296, + "step": 3980 + }, + { + "epoch": 0.3985, + "grad_norm": 0.7936831712722778, + "learning_rate": 0.00012042042042042043, + "loss": 1.935, + "step": 3985 + }, + { + "epoch": 0.399, + "grad_norm": 0.801343560218811, + "learning_rate": 0.00012032032032032032, + "loss": 1.951, + "step": 3990 + }, + { + "epoch": 0.3995, + "grad_norm": 2.931938648223877, + "learning_rate": 0.00012022022022022023, + "loss": 2.2622, + "step": 3995 + }, + { + "epoch": 0.4, + "grad_norm": 1.9284015893936157, + "learning_rate": 0.00012012012012012013, + "loss": 2.7305, + "step": 4000 + }, + { + "epoch": 0.4005, + "grad_norm": 1.391554355621338, + "learning_rate": 0.00012002002002002002, + "loss": 2.4457, + "step": 4005 + }, + { + "epoch": 0.401, + "grad_norm": 1.0932132005691528, + "learning_rate": 0.00011991991991991993, + "loss": 2.3634, + "step": 4010 + }, + { + "epoch": 0.4015, + "grad_norm": 0.9506504535675049, + "learning_rate": 0.00011981981981981982, + "loss": 2.2795, + "step": 4015 + }, + { + "epoch": 0.402, + "grad_norm": 0.8915263414382935, + "learning_rate": 0.00011971971971971973, + "loss": 2.2108, + "step": 4020 + }, + { + "epoch": 0.4025, + "grad_norm": 0.9343470931053162, + "learning_rate": 0.00011961961961961963, + "loss": 2.171, + "step": 4025 + }, + { + "epoch": 0.403, + "grad_norm": 0.9694389700889587, + "learning_rate": 0.00011951951951951952, + "loss": 2.2073, + "step": 4030 + }, + { + "epoch": 0.4035, + "grad_norm": 0.8602437973022461, + "learning_rate": 0.00011941941941941943, + "loss": 2.1673, + "step": 4035 + }, + { + "epoch": 0.404, + "grad_norm": 0.8877463340759277, + "learning_rate": 0.00011931931931931932, + "loss": 2.1523, + "step": 4040 + }, + { + "epoch": 0.4045, + "grad_norm": 0.9396592378616333, + "learning_rate": 0.00011921921921921923, + "loss": 2.1447, + "step": 4045 + }, + { + "epoch": 0.405, + "grad_norm": 0.887259304523468, + "learning_rate": 0.00011911911911911913, + "loss": 2.125, + "step": 4050 + }, + { + "epoch": 0.4055, + "grad_norm": 0.9970149397850037, + "learning_rate": 0.00011901901901901902, + "loss": 2.117, + "step": 4055 + }, + { + "epoch": 0.406, + "grad_norm": 0.9191226959228516, + "learning_rate": 0.00011891891891891893, + "loss": 2.095, + "step": 4060 + }, + { + "epoch": 0.4065, + "grad_norm": 0.9096970558166504, + "learning_rate": 0.00011881881881881882, + "loss": 2.0905, + "step": 4065 + }, + { + "epoch": 0.407, + "grad_norm": 0.9250726103782654, + "learning_rate": 0.00011871871871871872, + "loss": 2.0447, + "step": 4070 + }, + { + "epoch": 0.4075, + "grad_norm": 0.848983883857727, + "learning_rate": 0.00011861861861861863, + "loss": 2.0659, + "step": 4075 + }, + { + "epoch": 0.408, + "grad_norm": 0.837566614151001, + "learning_rate": 0.00011851851851851852, + "loss": 2.0291, + "step": 4080 + }, + { + "epoch": 0.4085, + "grad_norm": 0.8990424871444702, + "learning_rate": 0.00011841841841841843, + "loss": 2.0786, + "step": 4085 + }, + { + "epoch": 0.409, + "grad_norm": 0.9345883727073669, + "learning_rate": 0.00011831831831831832, + "loss": 2.0498, + "step": 4090 + }, + { + "epoch": 0.4095, + "grad_norm": 0.9079171419143677, + "learning_rate": 0.0001182182182182182, + "loss": 2.0502, + "step": 4095 + }, + { + "epoch": 0.41, + "grad_norm": 0.8899641633033752, + "learning_rate": 0.00011811811811811812, + "loss": 2.0554, + "step": 4100 + }, + { + "epoch": 0.4105, + "grad_norm": 0.8282867074012756, + "learning_rate": 0.00011801801801801802, + "loss": 2.0017, + "step": 4105 + }, + { + "epoch": 0.411, + "grad_norm": 0.8713417649269104, + "learning_rate": 0.00011791791791791793, + "loss": 2.0477, + "step": 4110 + }, + { + "epoch": 0.4115, + "grad_norm": 0.8387519717216492, + "learning_rate": 0.00011781781781781782, + "loss": 2.013, + "step": 4115 + }, + { + "epoch": 0.412, + "grad_norm": 0.8442679047584534, + "learning_rate": 0.00011771771771771771, + "loss": 2.0011, + "step": 4120 + }, + { + "epoch": 0.4125, + "grad_norm": 0.8642622828483582, + "learning_rate": 0.00011761761761761762, + "loss": 2.0232, + "step": 4125 + }, + { + "epoch": 0.413, + "grad_norm": 1.0152161121368408, + "learning_rate": 0.00011751751751751752, + "loss": 2.0444, + "step": 4130 + }, + { + "epoch": 0.4135, + "grad_norm": 0.8902932405471802, + "learning_rate": 0.00011741741741741743, + "loss": 1.9905, + "step": 4135 + }, + { + "epoch": 0.414, + "grad_norm": 0.9433906078338623, + "learning_rate": 0.00011731731731731732, + "loss": 2.0023, + "step": 4140 + }, + { + "epoch": 0.4145, + "grad_norm": 0.8779952526092529, + "learning_rate": 0.00011721721721721721, + "loss": 2.0103, + "step": 4145 + }, + { + "epoch": 0.415, + "grad_norm": 0.878989577293396, + "learning_rate": 0.00011711711711711712, + "loss": 2.0167, + "step": 4150 + }, + { + "epoch": 0.4155, + "grad_norm": 0.8977020978927612, + "learning_rate": 0.00011701701701701702, + "loss": 1.9904, + "step": 4155 + }, + { + "epoch": 0.416, + "grad_norm": 1.0385823249816895, + "learning_rate": 0.00011691691691691694, + "loss": 2.0096, + "step": 4160 + }, + { + "epoch": 0.4165, + "grad_norm": 0.9478892683982849, + "learning_rate": 0.00011681681681681682, + "loss": 2.0252, + "step": 4165 + }, + { + "epoch": 0.417, + "grad_norm": 0.904509961605072, + "learning_rate": 0.00011671671671671671, + "loss": 2.0162, + "step": 4170 + }, + { + "epoch": 0.4175, + "grad_norm": 0.8369683027267456, + "learning_rate": 0.00011661661661661662, + "loss": 2.009, + "step": 4175 + }, + { + "epoch": 0.418, + "grad_norm": 0.8266960382461548, + "learning_rate": 0.00011651651651651652, + "loss": 1.9785, + "step": 4180 + }, + { + "epoch": 0.4185, + "grad_norm": 0.8447481393814087, + "learning_rate": 0.00011641641641641644, + "loss": 1.9693, + "step": 4185 + }, + { + "epoch": 0.419, + "grad_norm": 0.8444758653640747, + "learning_rate": 0.00011631631631631632, + "loss": 1.9775, + "step": 4190 + }, + { + "epoch": 0.4195, + "grad_norm": 0.8235093355178833, + "learning_rate": 0.00011621621621621621, + "loss": 1.9557, + "step": 4195 + }, + { + "epoch": 0.42, + "grad_norm": 0.9242146611213684, + "learning_rate": 0.00011611611611611612, + "loss": 1.9597, + "step": 4200 + }, + { + "epoch": 0.4205, + "grad_norm": 0.8500037789344788, + "learning_rate": 0.00011601601601601601, + "loss": 1.9717, + "step": 4205 + }, + { + "epoch": 0.421, + "grad_norm": 0.8934337496757507, + "learning_rate": 0.00011591591591591592, + "loss": 1.9765, + "step": 4210 + }, + { + "epoch": 0.4215, + "grad_norm": 0.9102895855903625, + "learning_rate": 0.00011581581581581582, + "loss": 1.9449, + "step": 4215 + }, + { + "epoch": 0.422, + "grad_norm": 0.8801275491714478, + "learning_rate": 0.00011571571571571571, + "loss": 1.9337, + "step": 4220 + }, + { + "epoch": 0.4225, + "grad_norm": 0.9498214721679688, + "learning_rate": 0.00011561561561561562, + "loss": 1.9817, + "step": 4225 + }, + { + "epoch": 0.423, + "grad_norm": 0.9641104340553284, + "learning_rate": 0.00011551551551551551, + "loss": 1.9278, + "step": 4230 + }, + { + "epoch": 0.4235, + "grad_norm": 0.8352410793304443, + "learning_rate": 0.00011541541541541542, + "loss": 1.9225, + "step": 4235 + }, + { + "epoch": 0.424, + "grad_norm": 0.8993573784828186, + "learning_rate": 0.00011531531531531532, + "loss": 1.959, + "step": 4240 + }, + { + "epoch": 0.4245, + "grad_norm": 1.0262569189071655, + "learning_rate": 0.00011521521521521521, + "loss": 1.9422, + "step": 4245 + }, + { + "epoch": 0.425, + "grad_norm": 0.8517004251480103, + "learning_rate": 0.00011511511511511512, + "loss": 1.9638, + "step": 4250 + }, + { + "epoch": 0.4255, + "grad_norm": 0.9371127486228943, + "learning_rate": 0.00011501501501501501, + "loss": 1.9408, + "step": 4255 + }, + { + "epoch": 0.426, + "grad_norm": 0.8500112295150757, + "learning_rate": 0.00011491491491491492, + "loss": 1.9598, + "step": 4260 + }, + { + "epoch": 0.4265, + "grad_norm": 0.8576430082321167, + "learning_rate": 0.00011481481481481482, + "loss": 1.9172, + "step": 4265 + }, + { + "epoch": 0.427, + "grad_norm": 0.8595812320709229, + "learning_rate": 0.00011471471471471471, + "loss": 1.9099, + "step": 4270 + }, + { + "epoch": 0.4275, + "grad_norm": 0.8851966261863708, + "learning_rate": 0.00011461461461461463, + "loss": 1.9295, + "step": 4275 + }, + { + "epoch": 0.428, + "grad_norm": 0.8601343631744385, + "learning_rate": 0.00011451451451451451, + "loss": 1.9518, + "step": 4280 + }, + { + "epoch": 0.4285, + "grad_norm": 0.8601483106613159, + "learning_rate": 0.00011441441441441443, + "loss": 1.9821, + "step": 4285 + }, + { + "epoch": 0.429, + "grad_norm": 0.8733670711517334, + "learning_rate": 0.00011431431431431433, + "loss": 1.9475, + "step": 4290 + }, + { + "epoch": 0.4295, + "grad_norm": 0.8573125004768372, + "learning_rate": 0.00011421421421421421, + "loss": 1.92, + "step": 4295 + }, + { + "epoch": 0.43, + "grad_norm": 0.8779380321502686, + "learning_rate": 0.00011411411411411413, + "loss": 1.9252, + "step": 4300 + }, + { + "epoch": 0.4305, + "grad_norm": 0.842447817325592, + "learning_rate": 0.00011401401401401401, + "loss": 1.9418, + "step": 4305 + }, + { + "epoch": 0.431, + "grad_norm": 0.8564408421516418, + "learning_rate": 0.00011391391391391393, + "loss": 1.8845, + "step": 4310 + }, + { + "epoch": 0.4315, + "grad_norm": 0.9953034520149231, + "learning_rate": 0.00011381381381381381, + "loss": 1.9288, + "step": 4315 + }, + { + "epoch": 0.432, + "grad_norm": 0.9179754257202148, + "learning_rate": 0.00011371371371371371, + "loss": 1.9554, + "step": 4320 + }, + { + "epoch": 0.4325, + "grad_norm": 0.8732195496559143, + "learning_rate": 0.00011361361361361363, + "loss": 1.8688, + "step": 4325 + }, + { + "epoch": 0.433, + "grad_norm": 0.9357179999351501, + "learning_rate": 0.00011351351351351351, + "loss": 1.8807, + "step": 4330 + }, + { + "epoch": 0.4335, + "grad_norm": 0.9172531962394714, + "learning_rate": 0.00011341341341341343, + "loss": 1.9408, + "step": 4335 + }, + { + "epoch": 0.434, + "grad_norm": 0.8920251131057739, + "learning_rate": 0.00011331331331331331, + "loss": 1.8865, + "step": 4340 + }, + { + "epoch": 0.4345, + "grad_norm": 0.9782935380935669, + "learning_rate": 0.00011321321321321321, + "loss": 1.8862, + "step": 4345 + }, + { + "epoch": 0.435, + "grad_norm": 0.9634548425674438, + "learning_rate": 0.00011311311311311313, + "loss": 1.8773, + "step": 4350 + }, + { + "epoch": 0.4355, + "grad_norm": 0.9303472638130188, + "learning_rate": 0.00011301301301301301, + "loss": 1.9031, + "step": 4355 + }, + { + "epoch": 0.436, + "grad_norm": 0.9065335392951965, + "learning_rate": 0.00011291291291291293, + "loss": 1.9339, + "step": 4360 + }, + { + "epoch": 0.4365, + "grad_norm": 0.889884889125824, + "learning_rate": 0.00011281281281281281, + "loss": 1.9205, + "step": 4365 + }, + { + "epoch": 0.437, + "grad_norm": 1.0310100317001343, + "learning_rate": 0.00011271271271271271, + "loss": 1.8889, + "step": 4370 + }, + { + "epoch": 0.4375, + "grad_norm": 0.8499249219894409, + "learning_rate": 0.00011261261261261263, + "loss": 1.8759, + "step": 4375 + }, + { + "epoch": 0.438, + "grad_norm": 0.8602859377861023, + "learning_rate": 0.00011251251251251251, + "loss": 1.9448, + "step": 4380 + }, + { + "epoch": 0.4385, + "grad_norm": 0.8887655735015869, + "learning_rate": 0.00011241241241241243, + "loss": 1.8755, + "step": 4385 + }, + { + "epoch": 0.439, + "grad_norm": 0.8571450114250183, + "learning_rate": 0.00011231231231231231, + "loss": 1.8516, + "step": 4390 + }, + { + "epoch": 0.4395, + "grad_norm": 1.1664048433303833, + "learning_rate": 0.00011221221221221221, + "loss": 1.8886, + "step": 4395 + }, + { + "epoch": 0.44, + "grad_norm": 0.8851452469825745, + "learning_rate": 0.00011211211211211213, + "loss": 1.8924, + "step": 4400 + }, + { + "epoch": 0.4405, + "grad_norm": 0.9703869223594666, + "learning_rate": 0.00011201201201201202, + "loss": 1.8651, + "step": 4405 + }, + { + "epoch": 0.441, + "grad_norm": 0.9467156529426575, + "learning_rate": 0.00011191191191191193, + "loss": 1.8938, + "step": 4410 + }, + { + "epoch": 0.4415, + "grad_norm": 0.9211694598197937, + "learning_rate": 0.00011181181181181182, + "loss": 1.9098, + "step": 4415 + }, + { + "epoch": 0.442, + "grad_norm": 0.8704224228858948, + "learning_rate": 0.0001117117117117117, + "loss": 1.8772, + "step": 4420 + }, + { + "epoch": 0.4425, + "grad_norm": 0.9551790356636047, + "learning_rate": 0.00011161161161161162, + "loss": 1.8752, + "step": 4425 + }, + { + "epoch": 0.443, + "grad_norm": 0.9262571334838867, + "learning_rate": 0.00011151151151151152, + "loss": 1.8697, + "step": 4430 + }, + { + "epoch": 0.4435, + "grad_norm": 0.8499231338500977, + "learning_rate": 0.00011141141141141143, + "loss": 1.8876, + "step": 4435 + }, + { + "epoch": 0.444, + "grad_norm": 0.8752108812332153, + "learning_rate": 0.00011131131131131132, + "loss": 1.9077, + "step": 4440 + }, + { + "epoch": 0.4445, + "grad_norm": 0.9217672944068909, + "learning_rate": 0.0001112112112112112, + "loss": 1.8906, + "step": 4445 + }, + { + "epoch": 0.445, + "grad_norm": 0.9115353226661682, + "learning_rate": 0.00011111111111111112, + "loss": 1.8512, + "step": 4450 + }, + { + "epoch": 0.4455, + "grad_norm": 0.8915761113166809, + "learning_rate": 0.00011101101101101102, + "loss": 1.8281, + "step": 4455 + }, + { + "epoch": 0.446, + "grad_norm": 0.8932358026504517, + "learning_rate": 0.00011091091091091093, + "loss": 1.8797, + "step": 4460 + }, + { + "epoch": 0.4465, + "grad_norm": 0.9420803189277649, + "learning_rate": 0.00011081081081081082, + "loss": 1.8532, + "step": 4465 + }, + { + "epoch": 0.447, + "grad_norm": 0.9950898885726929, + "learning_rate": 0.0001107107107107107, + "loss": 1.8449, + "step": 4470 + }, + { + "epoch": 0.4475, + "grad_norm": 0.9600904583930969, + "learning_rate": 0.00011061061061061062, + "loss": 1.8968, + "step": 4475 + }, + { + "epoch": 0.448, + "grad_norm": 0.9210178256034851, + "learning_rate": 0.00011051051051051052, + "loss": 1.9221, + "step": 4480 + }, + { + "epoch": 0.4485, + "grad_norm": 0.9000430107116699, + "learning_rate": 0.00011041041041041043, + "loss": 1.8657, + "step": 4485 + }, + { + "epoch": 0.449, + "grad_norm": 0.8674874901771545, + "learning_rate": 0.00011031031031031032, + "loss": 1.8752, + "step": 4490 + }, + { + "epoch": 0.4495, + "grad_norm": 0.943356990814209, + "learning_rate": 0.0001102102102102102, + "loss": 1.8241, + "step": 4495 + }, + { + "epoch": 0.45, + "grad_norm": 0.990490734577179, + "learning_rate": 0.00011011011011011012, + "loss": 1.859, + "step": 4500 + }, + { + "epoch": 0.4505, + "grad_norm": 0.9066656827926636, + "learning_rate": 0.00011001001001001002, + "loss": 1.8771, + "step": 4505 + }, + { + "epoch": 0.451, + "grad_norm": 0.9334986209869385, + "learning_rate": 0.00010990990990990993, + "loss": 1.8818, + "step": 4510 + }, + { + "epoch": 0.4515, + "grad_norm": 0.9269065856933594, + "learning_rate": 0.00010980980980980982, + "loss": 1.8744, + "step": 4515 + }, + { + "epoch": 0.452, + "grad_norm": 0.8838782906532288, + "learning_rate": 0.0001097097097097097, + "loss": 1.8927, + "step": 4520 + }, + { + "epoch": 0.4525, + "grad_norm": 0.8809515237808228, + "learning_rate": 0.00010960960960960962, + "loss": 1.865, + "step": 4525 + }, + { + "epoch": 0.453, + "grad_norm": 0.8855170011520386, + "learning_rate": 0.0001095095095095095, + "loss": 1.8636, + "step": 4530 + }, + { + "epoch": 0.4535, + "grad_norm": 0.850659191608429, + "learning_rate": 0.00010940940940940942, + "loss": 1.8416, + "step": 4535 + }, + { + "epoch": 0.454, + "grad_norm": 1.209594488143921, + "learning_rate": 0.00010930930930930932, + "loss": 1.8474, + "step": 4540 + }, + { + "epoch": 0.4545, + "grad_norm": 0.9443528056144714, + "learning_rate": 0.0001092092092092092, + "loss": 1.853, + "step": 4545 + }, + { + "epoch": 0.455, + "grad_norm": 0.8795249462127686, + "learning_rate": 0.00010910910910910912, + "loss": 1.8462, + "step": 4550 + }, + { + "epoch": 0.4555, + "grad_norm": 0.9223023653030396, + "learning_rate": 0.000109009009009009, + "loss": 1.8644, + "step": 4555 + }, + { + "epoch": 0.456, + "grad_norm": 0.8747789263725281, + "learning_rate": 0.00010890890890890892, + "loss": 1.8643, + "step": 4560 + }, + { + "epoch": 0.4565, + "grad_norm": 0.8761250376701355, + "learning_rate": 0.00010880880880880882, + "loss": 1.8209, + "step": 4565 + }, + { + "epoch": 0.457, + "grad_norm": 0.8845246434211731, + "learning_rate": 0.0001087087087087087, + "loss": 1.8566, + "step": 4570 + }, + { + "epoch": 0.4575, + "grad_norm": 0.8876487016677856, + "learning_rate": 0.00010860860860860862, + "loss": 1.8304, + "step": 4575 + }, + { + "epoch": 0.458, + "grad_norm": 0.9176833033561707, + "learning_rate": 0.0001085085085085085, + "loss": 1.8323, + "step": 4580 + }, + { + "epoch": 0.4585, + "grad_norm": 0.9132845997810364, + "learning_rate": 0.00010840840840840842, + "loss": 1.8235, + "step": 4585 + }, + { + "epoch": 0.459, + "grad_norm": 0.8965134024620056, + "learning_rate": 0.00010830830830830832, + "loss": 1.8405, + "step": 4590 + }, + { + "epoch": 0.4595, + "grad_norm": 0.8731141686439514, + "learning_rate": 0.00010820820820820821, + "loss": 1.8521, + "step": 4595 + }, + { + "epoch": 0.46, + "grad_norm": 0.8298085927963257, + "learning_rate": 0.00010810810810810812, + "loss": 1.8678, + "step": 4600 + }, + { + "epoch": 0.4605, + "grad_norm": 0.9257004261016846, + "learning_rate": 0.00010800800800800801, + "loss": 1.8492, + "step": 4605 + }, + { + "epoch": 0.461, + "grad_norm": 0.8877549767494202, + "learning_rate": 0.00010790790790790792, + "loss": 1.8265, + "step": 4610 + }, + { + "epoch": 0.4615, + "grad_norm": 0.9602069854736328, + "learning_rate": 0.00010780780780780782, + "loss": 1.8731, + "step": 4615 + }, + { + "epoch": 0.462, + "grad_norm": 0.8777331113815308, + "learning_rate": 0.00010770770770770771, + "loss": 1.8595, + "step": 4620 + }, + { + "epoch": 0.4625, + "grad_norm": 1.8534454107284546, + "learning_rate": 0.00010760760760760762, + "loss": 3.3102, + "step": 4625 + }, + { + "epoch": 0.463, + "grad_norm": 1.721049189567566, + "learning_rate": 0.00010750750750750751, + "loss": 3.1247, + "step": 4630 + }, + { + "epoch": 0.4635, + "grad_norm": 1.1871305704116821, + "learning_rate": 0.00010740740740740742, + "loss": 3.0256, + "step": 4635 + }, + { + "epoch": 0.464, + "grad_norm": 0.9916480183601379, + "learning_rate": 0.00010730730730730731, + "loss": 2.9173, + "step": 4640 + }, + { + "epoch": 0.4645, + "grad_norm": 0.8853825330734253, + "learning_rate": 0.00010720720720720721, + "loss": 2.8852, + "step": 4645 + }, + { + "epoch": 0.465, + "grad_norm": 0.9272099733352661, + "learning_rate": 0.00010710710710710712, + "loss": 2.8115, + "step": 4650 + }, + { + "epoch": 0.4655, + "grad_norm": 0.8129410743713379, + "learning_rate": 0.00010700700700700701, + "loss": 2.7959, + "step": 4655 + }, + { + "epoch": 0.466, + "grad_norm": 0.8323870301246643, + "learning_rate": 0.00010690690690690692, + "loss": 2.7888, + "step": 4660 + }, + { + "epoch": 0.4665, + "grad_norm": 0.8004547953605652, + "learning_rate": 0.00010680680680680681, + "loss": 2.7576, + "step": 4665 + }, + { + "epoch": 0.467, + "grad_norm": 0.7928503155708313, + "learning_rate": 0.00010670670670670671, + "loss": 2.7664, + "step": 4670 + }, + { + "epoch": 0.4675, + "grad_norm": 0.773970901966095, + "learning_rate": 0.00010660660660660662, + "loss": 2.7214, + "step": 4675 + }, + { + "epoch": 0.468, + "grad_norm": 0.8073243498802185, + "learning_rate": 0.00010650650650650651, + "loss": 2.7298, + "step": 4680 + }, + { + "epoch": 0.4685, + "grad_norm": 0.7617459297180176, + "learning_rate": 0.00010640640640640642, + "loss": 2.7076, + "step": 4685 + }, + { + "epoch": 0.469, + "grad_norm": 0.8188638687133789, + "learning_rate": 0.00010630630630630631, + "loss": 2.7152, + "step": 4690 + }, + { + "epoch": 0.4695, + "grad_norm": 0.8789124488830566, + "learning_rate": 0.00010620620620620621, + "loss": 2.6893, + "step": 4695 + }, + { + "epoch": 0.47, + "grad_norm": 0.8619881272315979, + "learning_rate": 0.00010610610610610612, + "loss": 2.695, + "step": 4700 + }, + { + "epoch": 0.4705, + "grad_norm": 0.7400351762771606, + "learning_rate": 0.00010600600600600601, + "loss": 2.6962, + "step": 4705 + }, + { + "epoch": 0.471, + "grad_norm": 0.7460540533065796, + "learning_rate": 0.0001059059059059059, + "loss": 2.6435, + "step": 4710 + }, + { + "epoch": 0.4715, + "grad_norm": 0.8136820793151855, + "learning_rate": 0.00010580580580580581, + "loss": 2.6901, + "step": 4715 + }, + { + "epoch": 0.472, + "grad_norm": 0.767340362071991, + "learning_rate": 0.00010570570570570571, + "loss": 2.6748, + "step": 4720 + }, + { + "epoch": 0.4725, + "grad_norm": 0.7789919376373291, + "learning_rate": 0.00010560560560560562, + "loss": 2.6534, + "step": 4725 + }, + { + "epoch": 0.473, + "grad_norm": 0.8018049597740173, + "learning_rate": 0.00010550550550550551, + "loss": 2.652, + "step": 4730 + }, + { + "epoch": 0.4735, + "grad_norm": 0.753203809261322, + "learning_rate": 0.0001054054054054054, + "loss": 2.6453, + "step": 4735 + }, + { + "epoch": 0.474, + "grad_norm": 0.758394718170166, + "learning_rate": 0.00010530530530530531, + "loss": 2.6405, + "step": 4740 + }, + { + "epoch": 0.4745, + "grad_norm": 0.7693637609481812, + "learning_rate": 0.0001052052052052052, + "loss": 2.5966, + "step": 4745 + }, + { + "epoch": 0.475, + "grad_norm": 0.7242591381072998, + "learning_rate": 0.00010510510510510511, + "loss": 2.6375, + "step": 4750 + }, + { + "epoch": 0.4755, + "grad_norm": 0.8229799270629883, + "learning_rate": 0.00010500500500500501, + "loss": 2.6175, + "step": 4755 + }, + { + "epoch": 0.476, + "grad_norm": 0.7987326383590698, + "learning_rate": 0.0001049049049049049, + "loss": 2.6413, + "step": 4760 + }, + { + "epoch": 0.4765, + "grad_norm": 0.7526589632034302, + "learning_rate": 0.00010480480480480481, + "loss": 2.6501, + "step": 4765 + }, + { + "epoch": 0.477, + "grad_norm": 0.7456768155097961, + "learning_rate": 0.0001047047047047047, + "loss": 2.5909, + "step": 4770 + }, + { + "epoch": 0.4775, + "grad_norm": 0.8570939302444458, + "learning_rate": 0.00010460460460460461, + "loss": 2.6188, + "step": 4775 + }, + { + "epoch": 0.478, + "grad_norm": 0.8006309866905212, + "learning_rate": 0.00010450450450450451, + "loss": 2.6194, + "step": 4780 + }, + { + "epoch": 0.4785, + "grad_norm": 0.8089258074760437, + "learning_rate": 0.0001044044044044044, + "loss": 2.6106, + "step": 4785 + }, + { + "epoch": 0.479, + "grad_norm": 0.7953463196754456, + "learning_rate": 0.00010430430430430431, + "loss": 2.5841, + "step": 4790 + }, + { + "epoch": 0.4795, + "grad_norm": 0.8188151121139526, + "learning_rate": 0.0001042042042042042, + "loss": 2.6067, + "step": 4795 + }, + { + "epoch": 0.48, + "grad_norm": 0.769829511642456, + "learning_rate": 0.00010410410410410411, + "loss": 2.5939, + "step": 4800 + }, + { + "epoch": 0.4805, + "grad_norm": 0.7330535650253296, + "learning_rate": 0.00010400400400400401, + "loss": 2.5979, + "step": 4805 + }, + { + "epoch": 0.481, + "grad_norm": 0.817407488822937, + "learning_rate": 0.0001039039039039039, + "loss": 2.6022, + "step": 4810 + }, + { + "epoch": 0.4815, + "grad_norm": 0.7732321619987488, + "learning_rate": 0.00010380380380380381, + "loss": 2.5937, + "step": 4815 + }, + { + "epoch": 0.482, + "grad_norm": 0.800410270690918, + "learning_rate": 0.0001037037037037037, + "loss": 2.5957, + "step": 4820 + }, + { + "epoch": 0.4825, + "grad_norm": 0.7640219926834106, + "learning_rate": 0.00010360360360360361, + "loss": 2.5787, + "step": 4825 + }, + { + "epoch": 0.483, + "grad_norm": 0.7671935558319092, + "learning_rate": 0.00010350350350350351, + "loss": 2.5831, + "step": 4830 + }, + { + "epoch": 0.4835, + "grad_norm": 0.8024823069572449, + "learning_rate": 0.0001034034034034034, + "loss": 2.5631, + "step": 4835 + }, + { + "epoch": 0.484, + "grad_norm": 0.770573616027832, + "learning_rate": 0.00010330330330330331, + "loss": 2.5876, + "step": 4840 + }, + { + "epoch": 0.4845, + "grad_norm": 0.7440877556800842, + "learning_rate": 0.0001032032032032032, + "loss": 2.5764, + "step": 4845 + }, + { + "epoch": 0.485, + "grad_norm": 0.758750319480896, + "learning_rate": 0.00010310310310310311, + "loss": 2.5851, + "step": 4850 + }, + { + "epoch": 0.4855, + "grad_norm": 0.7744156122207642, + "learning_rate": 0.000103003003003003, + "loss": 2.5564, + "step": 4855 + }, + { + "epoch": 0.486, + "grad_norm": 0.7538742423057556, + "learning_rate": 0.0001029029029029029, + "loss": 2.5862, + "step": 4860 + }, + { + "epoch": 0.4865, + "grad_norm": 0.7862333059310913, + "learning_rate": 0.00010280280280280281, + "loss": 2.5591, + "step": 4865 + }, + { + "epoch": 0.487, + "grad_norm": 0.7841285467147827, + "learning_rate": 0.0001027027027027027, + "loss": 2.5757, + "step": 4870 + }, + { + "epoch": 0.4875, + "grad_norm": 0.8739153146743774, + "learning_rate": 0.00010260260260260261, + "loss": 2.5542, + "step": 4875 + }, + { + "epoch": 0.488, + "grad_norm": 0.744562029838562, + "learning_rate": 0.0001025025025025025, + "loss": 2.5323, + "step": 4880 + }, + { + "epoch": 0.4885, + "grad_norm": 0.7456634044647217, + "learning_rate": 0.0001024024024024024, + "loss": 2.5738, + "step": 4885 + }, + { + "epoch": 0.489, + "grad_norm": 0.835354208946228, + "learning_rate": 0.00010230230230230232, + "loss": 2.5632, + "step": 4890 + }, + { + "epoch": 0.4895, + "grad_norm": 0.8080532550811768, + "learning_rate": 0.0001022022022022022, + "loss": 2.5492, + "step": 4895 + }, + { + "epoch": 0.49, + "grad_norm": 0.7578943967819214, + "learning_rate": 0.00010210210210210212, + "loss": 2.5519, + "step": 4900 + }, + { + "epoch": 0.4905, + "grad_norm": 0.7827736735343933, + "learning_rate": 0.000102002002002002, + "loss": 2.5651, + "step": 4905 + }, + { + "epoch": 0.491, + "grad_norm": 0.7860758304595947, + "learning_rate": 0.0001019019019019019, + "loss": 2.587, + "step": 4910 + }, + { + "epoch": 0.4915, + "grad_norm": 0.7887434959411621, + "learning_rate": 0.00010180180180180182, + "loss": 2.5429, + "step": 4915 + }, + { + "epoch": 0.492, + "grad_norm": 0.7806670665740967, + "learning_rate": 0.0001017017017017017, + "loss": 2.5506, + "step": 4920 + }, + { + "epoch": 0.4925, + "grad_norm": 0.7844783663749695, + "learning_rate": 0.00010160160160160162, + "loss": 2.5566, + "step": 4925 + }, + { + "epoch": 0.493, + "grad_norm": 0.7470987439155579, + "learning_rate": 0.0001015015015015015, + "loss": 2.5615, + "step": 4930 + }, + { + "epoch": 0.4935, + "grad_norm": 0.7789111137390137, + "learning_rate": 0.0001014014014014014, + "loss": 2.5579, + "step": 4935 + }, + { + "epoch": 0.494, + "grad_norm": 0.7943547368049622, + "learning_rate": 0.00010130130130130132, + "loss": 2.5328, + "step": 4940 + }, + { + "epoch": 0.4945, + "grad_norm": 0.7838632464408875, + "learning_rate": 0.0001012012012012012, + "loss": 2.5306, + "step": 4945 + }, + { + "epoch": 0.495, + "grad_norm": 0.7697449922561646, + "learning_rate": 0.00010110110110110112, + "loss": 2.5541, + "step": 4950 + }, + { + "epoch": 0.4955, + "grad_norm": 0.7821655869483948, + "learning_rate": 0.000101001001001001, + "loss": 2.5184, + "step": 4955 + }, + { + "epoch": 0.496, + "grad_norm": 0.7613987326622009, + "learning_rate": 0.00010090090090090089, + "loss": 2.5349, + "step": 4960 + }, + { + "epoch": 0.4965, + "grad_norm": 0.7794037461280823, + "learning_rate": 0.0001008008008008008, + "loss": 2.5391, + "step": 4965 + }, + { + "epoch": 0.497, + "grad_norm": 0.7633383870124817, + "learning_rate": 0.0001007007007007007, + "loss": 2.521, + "step": 4970 + }, + { + "epoch": 0.4975, + "grad_norm": 0.7773224115371704, + "learning_rate": 0.00010060060060060062, + "loss": 2.5439, + "step": 4975 + }, + { + "epoch": 0.498, + "grad_norm": 0.8238345384597778, + "learning_rate": 0.0001005005005005005, + "loss": 2.5084, + "step": 4980 + }, + { + "epoch": 0.4985, + "grad_norm": 0.8315170407295227, + "learning_rate": 0.00010040040040040039, + "loss": 2.5312, + "step": 4985 + }, + { + "epoch": 0.499, + "grad_norm": 0.8703632950782776, + "learning_rate": 0.0001003003003003003, + "loss": 2.5212, + "step": 4990 + }, + { + "epoch": 0.4995, + "grad_norm": 0.8008772134780884, + "learning_rate": 0.0001002002002002002, + "loss": 2.5373, + "step": 4995 + }, + { + "epoch": 0.5, + "grad_norm": 0.7883898019790649, + "learning_rate": 0.00010010010010010012, + "loss": 2.5194, + "step": 5000 + }, + { + "epoch": 0.5005, + "grad_norm": 0.7612689733505249, + "learning_rate": 0.0001, + "loss": 2.5253, + "step": 5005 + }, + { + "epoch": 0.501, + "grad_norm": 0.8001552224159241, + "learning_rate": 9.98998998998999e-05, + "loss": 2.5255, + "step": 5010 + }, + { + "epoch": 0.5015, + "grad_norm": 0.8067675828933716, + "learning_rate": 9.97997997997998e-05, + "loss": 2.5127, + "step": 5015 + }, + { + "epoch": 0.502, + "grad_norm": 0.7785462737083435, + "learning_rate": 9.96996996996997e-05, + "loss": 2.5064, + "step": 5020 + }, + { + "epoch": 0.5025, + "grad_norm": 0.8287351727485657, + "learning_rate": 9.95995995995996e-05, + "loss": 2.5255, + "step": 5025 + }, + { + "epoch": 0.503, + "grad_norm": 0.7444617748260498, + "learning_rate": 9.94994994994995e-05, + "loss": 2.5084, + "step": 5030 + }, + { + "epoch": 0.5035, + "grad_norm": 0.7671459317207336, + "learning_rate": 9.93993993993994e-05, + "loss": 2.5063, + "step": 5035 + }, + { + "epoch": 0.504, + "grad_norm": 0.7833889722824097, + "learning_rate": 9.92992992992993e-05, + "loss": 2.4893, + "step": 5040 + }, + { + "epoch": 0.5045, + "grad_norm": 0.7985659837722778, + "learning_rate": 9.91991991991992e-05, + "loss": 2.5383, + "step": 5045 + }, + { + "epoch": 0.505, + "grad_norm": 0.8089566230773926, + "learning_rate": 9.90990990990991e-05, + "loss": 2.5032, + "step": 5050 + }, + { + "epoch": 0.5055, + "grad_norm": 0.8146255016326904, + "learning_rate": 9.8998998998999e-05, + "loss": 2.4998, + "step": 5055 + }, + { + "epoch": 0.506, + "grad_norm": 0.7463052272796631, + "learning_rate": 9.88988988988989e-05, + "loss": 2.516, + "step": 5060 + }, + { + "epoch": 0.5065, + "grad_norm": 0.8386415243148804, + "learning_rate": 9.87987987987988e-05, + "loss": 2.5193, + "step": 5065 + }, + { + "epoch": 0.507, + "grad_norm": 0.766620934009552, + "learning_rate": 9.869869869869869e-05, + "loss": 2.5227, + "step": 5070 + }, + { + "epoch": 0.5075, + "grad_norm": 0.881860613822937, + "learning_rate": 9.85985985985986e-05, + "loss": 2.5267, + "step": 5075 + }, + { + "epoch": 0.508, + "grad_norm": 0.8524314165115356, + "learning_rate": 9.849849849849851e-05, + "loss": 2.5039, + "step": 5080 + }, + { + "epoch": 0.5085, + "grad_norm": 0.7791292667388916, + "learning_rate": 9.839839839839841e-05, + "loss": 2.5291, + "step": 5085 + }, + { + "epoch": 0.509, + "grad_norm": 0.805531919002533, + "learning_rate": 9.829829829829831e-05, + "loss": 2.5162, + "step": 5090 + }, + { + "epoch": 0.5095, + "grad_norm": 0.8797053694725037, + "learning_rate": 9.81981981981982e-05, + "loss": 2.4864, + "step": 5095 + }, + { + "epoch": 0.51, + "grad_norm": 0.7774877548217773, + "learning_rate": 9.809809809809811e-05, + "loss": 2.5218, + "step": 5100 + }, + { + "epoch": 0.5105, + "grad_norm": 0.743796706199646, + "learning_rate": 9.799799799799801e-05, + "loss": 2.5168, + "step": 5105 + }, + { + "epoch": 0.511, + "grad_norm": 0.8754458427429199, + "learning_rate": 9.789789789789791e-05, + "loss": 2.4804, + "step": 5110 + }, + { + "epoch": 0.5115, + "grad_norm": 0.8188790082931519, + "learning_rate": 9.779779779779781e-05, + "loss": 2.5051, + "step": 5115 + }, + { + "epoch": 0.512, + "grad_norm": 0.8211973309516907, + "learning_rate": 9.76976976976977e-05, + "loss": 2.4978, + "step": 5120 + }, + { + "epoch": 0.5125, + "grad_norm": 0.8346189856529236, + "learning_rate": 9.75975975975976e-05, + "loss": 2.509, + "step": 5125 + }, + { + "epoch": 0.513, + "grad_norm": 0.7698317766189575, + "learning_rate": 9.749749749749751e-05, + "loss": 2.5271, + "step": 5130 + }, + { + "epoch": 0.5135, + "grad_norm": 0.7541659474372864, + "learning_rate": 9.739739739739741e-05, + "loss": 2.5088, + "step": 5135 + }, + { + "epoch": 0.514, + "grad_norm": 0.772386372089386, + "learning_rate": 9.729729729729731e-05, + "loss": 2.4997, + "step": 5140 + }, + { + "epoch": 0.5145, + "grad_norm": 0.7649770379066467, + "learning_rate": 9.71971971971972e-05, + "loss": 2.5038, + "step": 5145 + }, + { + "epoch": 0.515, + "grad_norm": 0.7980897426605225, + "learning_rate": 9.70970970970971e-05, + "loss": 2.4947, + "step": 5150 + }, + { + "epoch": 0.5155, + "grad_norm": 0.7903638482093811, + "learning_rate": 9.699699699699701e-05, + "loss": 2.5041, + "step": 5155 + }, + { + "epoch": 0.516, + "grad_norm": 0.7857434153556824, + "learning_rate": 9.689689689689691e-05, + "loss": 2.4701, + "step": 5160 + }, + { + "epoch": 0.5165, + "grad_norm": 0.7594984173774719, + "learning_rate": 9.67967967967968e-05, + "loss": 2.482, + "step": 5165 + }, + { + "epoch": 0.517, + "grad_norm": 0.7621155977249146, + "learning_rate": 9.66966966966967e-05, + "loss": 2.4901, + "step": 5170 + }, + { + "epoch": 0.5175, + "grad_norm": 0.7377651333808899, + "learning_rate": 9.65965965965966e-05, + "loss": 2.4988, + "step": 5175 + }, + { + "epoch": 0.518, + "grad_norm": 0.7642138004302979, + "learning_rate": 9.64964964964965e-05, + "loss": 2.4907, + "step": 5180 + }, + { + "epoch": 0.5185, + "grad_norm": 0.7919954657554626, + "learning_rate": 9.639639639639641e-05, + "loss": 2.4889, + "step": 5185 + }, + { + "epoch": 0.519, + "grad_norm": 0.7576303482055664, + "learning_rate": 9.62962962962963e-05, + "loss": 2.4957, + "step": 5190 + }, + { + "epoch": 0.5195, + "grad_norm": 0.7910977602005005, + "learning_rate": 9.61961961961962e-05, + "loss": 2.514, + "step": 5195 + }, + { + "epoch": 0.52, + "grad_norm": 0.7882610559463501, + "learning_rate": 9.60960960960961e-05, + "loss": 2.5047, + "step": 5200 + }, + { + "epoch": 0.5205, + "grad_norm": 0.7650166749954224, + "learning_rate": 9.5995995995996e-05, + "loss": 2.5049, + "step": 5205 + }, + { + "epoch": 0.521, + "grad_norm": 0.7797821760177612, + "learning_rate": 9.589589589589591e-05, + "loss": 2.4762, + "step": 5210 + }, + { + "epoch": 0.5215, + "grad_norm": 0.8017827272415161, + "learning_rate": 9.57957957957958e-05, + "loss": 2.4738, + "step": 5215 + }, + { + "epoch": 0.522, + "grad_norm": 0.8328955769538879, + "learning_rate": 9.56956956956957e-05, + "loss": 2.4818, + "step": 5220 + }, + { + "epoch": 0.5225, + "grad_norm": 0.7545986771583557, + "learning_rate": 9.55955955955956e-05, + "loss": 2.4761, + "step": 5225 + }, + { + "epoch": 0.523, + "grad_norm": 0.7941020131111145, + "learning_rate": 9.54954954954955e-05, + "loss": 2.4854, + "step": 5230 + }, + { + "epoch": 0.5235, + "grad_norm": 0.7584949135780334, + "learning_rate": 9.53953953953954e-05, + "loss": 2.5069, + "step": 5235 + }, + { + "epoch": 0.524, + "grad_norm": 0.7539657950401306, + "learning_rate": 9.52952952952953e-05, + "loss": 2.4839, + "step": 5240 + }, + { + "epoch": 0.5245, + "grad_norm": 0.7383254766464233, + "learning_rate": 9.51951951951952e-05, + "loss": 2.4814, + "step": 5245 + }, + { + "epoch": 0.525, + "grad_norm": 0.7786048650741577, + "learning_rate": 9.50950950950951e-05, + "loss": 2.4866, + "step": 5250 + }, + { + "epoch": 0.5255, + "grad_norm": 0.8005134463310242, + "learning_rate": 9.4994994994995e-05, + "loss": 2.5035, + "step": 5255 + }, + { + "epoch": 0.526, + "grad_norm": 0.8875206112861633, + "learning_rate": 9.48948948948949e-05, + "loss": 2.5053, + "step": 5260 + }, + { + "epoch": 0.5265, + "grad_norm": 0.8146237134933472, + "learning_rate": 9.47947947947948e-05, + "loss": 2.4957, + "step": 5265 + }, + { + "epoch": 0.527, + "grad_norm": 0.7780102491378784, + "learning_rate": 9.46946946946947e-05, + "loss": 2.4801, + "step": 5270 + }, + { + "epoch": 0.5275, + "grad_norm": 0.7808942794799805, + "learning_rate": 9.45945945945946e-05, + "loss": 2.4874, + "step": 5275 + }, + { + "epoch": 0.528, + "grad_norm": 0.7710458636283875, + "learning_rate": 9.44944944944945e-05, + "loss": 2.4638, + "step": 5280 + }, + { + "epoch": 0.5285, + "grad_norm": 0.8187270760536194, + "learning_rate": 9.43943943943944e-05, + "loss": 2.4815, + "step": 5285 + }, + { + "epoch": 0.529, + "grad_norm": 0.8260098695755005, + "learning_rate": 9.42942942942943e-05, + "loss": 2.4785, + "step": 5290 + }, + { + "epoch": 0.5295, + "grad_norm": 0.7852158546447754, + "learning_rate": 9.41941941941942e-05, + "loss": 2.4868, + "step": 5295 + }, + { + "epoch": 0.53, + "grad_norm": 0.7950302362442017, + "learning_rate": 9.40940940940941e-05, + "loss": 2.4811, + "step": 5300 + }, + { + "epoch": 0.5305, + "grad_norm": 0.7699114084243774, + "learning_rate": 9.3993993993994e-05, + "loss": 2.4562, + "step": 5305 + }, + { + "epoch": 0.531, + "grad_norm": 0.757371723651886, + "learning_rate": 9.38938938938939e-05, + "loss": 2.4517, + "step": 5310 + }, + { + "epoch": 0.5315, + "grad_norm": 0.8255384564399719, + "learning_rate": 9.37937937937938e-05, + "loss": 2.4831, + "step": 5315 + }, + { + "epoch": 0.532, + "grad_norm": 0.7833475470542908, + "learning_rate": 9.36936936936937e-05, + "loss": 2.4769, + "step": 5320 + }, + { + "epoch": 0.5325, + "grad_norm": 0.7572566866874695, + "learning_rate": 9.35935935935936e-05, + "loss": 2.4686, + "step": 5325 + }, + { + "epoch": 0.533, + "grad_norm": 0.8141648173332214, + "learning_rate": 9.34934934934935e-05, + "loss": 2.5026, + "step": 5330 + }, + { + "epoch": 0.5335, + "grad_norm": 0.7930201888084412, + "learning_rate": 9.33933933933934e-05, + "loss": 2.4667, + "step": 5335 + }, + { + "epoch": 0.534, + "grad_norm": 0.7503666877746582, + "learning_rate": 9.329329329329329e-05, + "loss": 2.4418, + "step": 5340 + }, + { + "epoch": 0.5345, + "grad_norm": 0.7474675178527832, + "learning_rate": 9.31931931931932e-05, + "loss": 2.4644, + "step": 5345 + }, + { + "epoch": 0.535, + "grad_norm": 0.7890115976333618, + "learning_rate": 9.30930930930931e-05, + "loss": 2.4742, + "step": 5350 + }, + { + "epoch": 0.5355, + "grad_norm": 0.7615987658500671, + "learning_rate": 9.2992992992993e-05, + "loss": 2.4894, + "step": 5355 + }, + { + "epoch": 0.536, + "grad_norm": 0.810775876045227, + "learning_rate": 9.28928928928929e-05, + "loss": 2.4453, + "step": 5360 + }, + { + "epoch": 0.5365, + "grad_norm": 0.7598344087600708, + "learning_rate": 9.279279279279279e-05, + "loss": 2.4611, + "step": 5365 + }, + { + "epoch": 0.537, + "grad_norm": 0.7713881134986877, + "learning_rate": 9.26926926926927e-05, + "loss": 2.4825, + "step": 5370 + }, + { + "epoch": 0.5375, + "grad_norm": 0.8551222681999207, + "learning_rate": 9.25925925925926e-05, + "loss": 2.4547, + "step": 5375 + }, + { + "epoch": 0.538, + "grad_norm": 0.8191784620285034, + "learning_rate": 9.24924924924925e-05, + "loss": 2.4596, + "step": 5380 + }, + { + "epoch": 0.5385, + "grad_norm": 0.7814502716064453, + "learning_rate": 9.23923923923924e-05, + "loss": 2.4548, + "step": 5385 + }, + { + "epoch": 0.539, + "grad_norm": 0.7861321568489075, + "learning_rate": 9.229229229229229e-05, + "loss": 2.4771, + "step": 5390 + }, + { + "epoch": 0.5395, + "grad_norm": 0.7862023115158081, + "learning_rate": 9.219219219219219e-05, + "loss": 2.4826, + "step": 5395 + }, + { + "epoch": 0.54, + "grad_norm": 0.7637827396392822, + "learning_rate": 9.20920920920921e-05, + "loss": 2.4617, + "step": 5400 + }, + { + "epoch": 0.5405, + "grad_norm": 0.7903456687927246, + "learning_rate": 9.1991991991992e-05, + "loss": 2.4544, + "step": 5405 + }, + { + "epoch": 0.541, + "grad_norm": 0.7984066605567932, + "learning_rate": 9.18918918918919e-05, + "loss": 2.4591, + "step": 5410 + }, + { + "epoch": 0.5415, + "grad_norm": 0.8397104144096375, + "learning_rate": 9.179179179179179e-05, + "loss": 2.4563, + "step": 5415 + }, + { + "epoch": 0.542, + "grad_norm": 0.7787863612174988, + "learning_rate": 9.169169169169169e-05, + "loss": 2.4732, + "step": 5420 + }, + { + "epoch": 0.5425, + "grad_norm": 0.7683889269828796, + "learning_rate": 9.15915915915916e-05, + "loss": 2.4769, + "step": 5425 + }, + { + "epoch": 0.543, + "grad_norm": 0.7939984202384949, + "learning_rate": 9.14914914914915e-05, + "loss": 2.461, + "step": 5430 + }, + { + "epoch": 0.5435, + "grad_norm": 0.7943704724311829, + "learning_rate": 9.13913913913914e-05, + "loss": 2.4749, + "step": 5435 + }, + { + "epoch": 0.544, + "grad_norm": 0.7761884927749634, + "learning_rate": 9.129129129129129e-05, + "loss": 2.4591, + "step": 5440 + }, + { + "epoch": 0.5445, + "grad_norm": 0.7611567974090576, + "learning_rate": 9.119119119119119e-05, + "loss": 2.4588, + "step": 5445 + }, + { + "epoch": 0.545, + "grad_norm": 0.7688775658607483, + "learning_rate": 9.109109109109109e-05, + "loss": 2.4652, + "step": 5450 + }, + { + "epoch": 0.5455, + "grad_norm": 0.7897481322288513, + "learning_rate": 9.0990990990991e-05, + "loss": 2.4495, + "step": 5455 + }, + { + "epoch": 0.546, + "grad_norm": 0.7705250978469849, + "learning_rate": 9.08908908908909e-05, + "loss": 2.4522, + "step": 5460 + }, + { + "epoch": 0.5465, + "grad_norm": 0.825740396976471, + "learning_rate": 9.079079079079079e-05, + "loss": 2.4468, + "step": 5465 + }, + { + "epoch": 0.547, + "grad_norm": 0.7923555970191956, + "learning_rate": 9.069069069069069e-05, + "loss": 2.4565, + "step": 5470 + }, + { + "epoch": 0.5475, + "grad_norm": 0.7937232255935669, + "learning_rate": 9.059059059059059e-05, + "loss": 2.4544, + "step": 5475 + }, + { + "epoch": 0.548, + "grad_norm": 0.8358876705169678, + "learning_rate": 9.04904904904905e-05, + "loss": 2.4445, + "step": 5480 + }, + { + "epoch": 0.5485, + "grad_norm": 0.9014988541603088, + "learning_rate": 9.039039039039039e-05, + "loss": 2.4469, + "step": 5485 + }, + { + "epoch": 0.549, + "grad_norm": 0.7850622534751892, + "learning_rate": 9.029029029029029e-05, + "loss": 2.4463, + "step": 5490 + }, + { + "epoch": 0.5495, + "grad_norm": 0.8793150782585144, + "learning_rate": 9.019019019019019e-05, + "loss": 2.4799, + "step": 5495 + }, + { + "epoch": 0.55, + "grad_norm": 0.8214443325996399, + "learning_rate": 9.009009009009009e-05, + "loss": 2.4545, + "step": 5500 + }, + { + "epoch": 0.5505, + "grad_norm": 0.7656763195991516, + "learning_rate": 8.998998998998999e-05, + "loss": 2.4495, + "step": 5505 + }, + { + "epoch": 0.551, + "grad_norm": 0.7774412631988525, + "learning_rate": 8.988988988988989e-05, + "loss": 2.461, + "step": 5510 + }, + { + "epoch": 0.5515, + "grad_norm": 0.7601509690284729, + "learning_rate": 8.978978978978979e-05, + "loss": 2.4365, + "step": 5515 + }, + { + "epoch": 0.552, + "grad_norm": 0.7853091359138489, + "learning_rate": 8.968968968968969e-05, + "loss": 2.4625, + "step": 5520 + }, + { + "epoch": 0.5525, + "grad_norm": 0.7637262344360352, + "learning_rate": 8.958958958958959e-05, + "loss": 2.4445, + "step": 5525 + }, + { + "epoch": 0.553, + "grad_norm": 0.8261085152626038, + "learning_rate": 8.948948948948949e-05, + "loss": 2.4689, + "step": 5530 + }, + { + "epoch": 0.5535, + "grad_norm": 0.7731636762619019, + "learning_rate": 8.938938938938939e-05, + "loss": 2.4598, + "step": 5535 + }, + { + "epoch": 0.554, + "grad_norm": 0.7947583794593811, + "learning_rate": 8.928928928928929e-05, + "loss": 2.473, + "step": 5540 + }, + { + "epoch": 0.5545, + "grad_norm": 0.7763395309448242, + "learning_rate": 8.918918918918919e-05, + "loss": 2.4491, + "step": 5545 + }, + { + "epoch": 0.555, + "grad_norm": 0.8187987804412842, + "learning_rate": 8.908908908908909e-05, + "loss": 2.4502, + "step": 5550 + }, + { + "epoch": 0.5555, + "grad_norm": 0.8020109534263611, + "learning_rate": 8.898898898898899e-05, + "loss": 2.4639, + "step": 5555 + }, + { + "epoch": 0.556, + "grad_norm": 0.7664561867713928, + "learning_rate": 8.888888888888889e-05, + "loss": 2.4249, + "step": 5560 + }, + { + "epoch": 0.5565, + "grad_norm": 0.7538728713989258, + "learning_rate": 8.87887887887888e-05, + "loss": 2.4439, + "step": 5565 + }, + { + "epoch": 0.557, + "grad_norm": 0.810167670249939, + "learning_rate": 8.86886886886887e-05, + "loss": 2.4489, + "step": 5570 + }, + { + "epoch": 0.5575, + "grad_norm": 0.8242455720901489, + "learning_rate": 8.85885885885886e-05, + "loss": 2.4415, + "step": 5575 + }, + { + "epoch": 0.558, + "grad_norm": 0.7702010869979858, + "learning_rate": 8.84884884884885e-05, + "loss": 2.4674, + "step": 5580 + }, + { + "epoch": 0.5585, + "grad_norm": 0.7628993391990662, + "learning_rate": 8.83883883883884e-05, + "loss": 2.4254, + "step": 5585 + }, + { + "epoch": 0.559, + "grad_norm": 0.7824822664260864, + "learning_rate": 8.82882882882883e-05, + "loss": 2.4404, + "step": 5590 + }, + { + "epoch": 0.5595, + "grad_norm": 0.8106468915939331, + "learning_rate": 8.81881881881882e-05, + "loss": 2.4572, + "step": 5595 + }, + { + "epoch": 0.56, + "grad_norm": 0.7582213282585144, + "learning_rate": 8.80880880880881e-05, + "loss": 2.4542, + "step": 5600 + }, + { + "epoch": 0.5605, + "grad_norm": 0.7767332196235657, + "learning_rate": 8.7987987987988e-05, + "loss": 2.4386, + "step": 5605 + }, + { + "epoch": 0.561, + "grad_norm": 0.7707039713859558, + "learning_rate": 8.788788788788788e-05, + "loss": 2.4308, + "step": 5610 + }, + { + "epoch": 0.5615, + "grad_norm": 0.7898010611534119, + "learning_rate": 8.77877877877878e-05, + "loss": 2.4344, + "step": 5615 + }, + { + "epoch": 0.562, + "grad_norm": 0.8068522810935974, + "learning_rate": 8.76876876876877e-05, + "loss": 2.4329, + "step": 5620 + }, + { + "epoch": 0.5625, + "grad_norm": 0.8125194907188416, + "learning_rate": 8.75875875875876e-05, + "loss": 2.4276, + "step": 5625 + }, + { + "epoch": 0.563, + "grad_norm": 0.7750654816627502, + "learning_rate": 8.74874874874875e-05, + "loss": 2.4474, + "step": 5630 + }, + { + "epoch": 0.5635, + "grad_norm": 0.8232579827308655, + "learning_rate": 8.738738738738738e-05, + "loss": 2.4018, + "step": 5635 + }, + { + "epoch": 0.564, + "grad_norm": 0.7836376428604126, + "learning_rate": 8.72872872872873e-05, + "loss": 2.4534, + "step": 5640 + }, + { + "epoch": 0.5645, + "grad_norm": 0.7965866327285767, + "learning_rate": 8.71871871871872e-05, + "loss": 2.4079, + "step": 5645 + }, + { + "epoch": 0.565, + "grad_norm": 0.8080419898033142, + "learning_rate": 8.70870870870871e-05, + "loss": 2.4123, + "step": 5650 + }, + { + "epoch": 0.5655, + "grad_norm": 0.7705451250076294, + "learning_rate": 8.6986986986987e-05, + "loss": 2.4468, + "step": 5655 + }, + { + "epoch": 0.566, + "grad_norm": 0.8220493793487549, + "learning_rate": 8.688688688688688e-05, + "loss": 2.4524, + "step": 5660 + }, + { + "epoch": 0.5665, + "grad_norm": 0.7655929923057556, + "learning_rate": 8.678678678678678e-05, + "loss": 2.4532, + "step": 5665 + }, + { + "epoch": 0.567, + "grad_norm": 0.7849308848381042, + "learning_rate": 8.66866866866867e-05, + "loss": 2.4517, + "step": 5670 + }, + { + "epoch": 0.5675, + "grad_norm": 0.8112594485282898, + "learning_rate": 8.65865865865866e-05, + "loss": 2.4335, + "step": 5675 + }, + { + "epoch": 0.568, + "grad_norm": 0.7860171794891357, + "learning_rate": 8.64864864864865e-05, + "loss": 2.4271, + "step": 5680 + }, + { + "epoch": 0.5685, + "grad_norm": 0.7731909155845642, + "learning_rate": 8.638638638638638e-05, + "loss": 2.4513, + "step": 5685 + }, + { + "epoch": 0.569, + "grad_norm": 0.8540036082267761, + "learning_rate": 8.628628628628628e-05, + "loss": 2.4464, + "step": 5690 + }, + { + "epoch": 0.5695, + "grad_norm": 0.7871401309967041, + "learning_rate": 8.61861861861862e-05, + "loss": 2.4451, + "step": 5695 + }, + { + "epoch": 0.57, + "grad_norm": 0.7708069086074829, + "learning_rate": 8.60860860860861e-05, + "loss": 2.4273, + "step": 5700 + }, + { + "epoch": 0.5705, + "grad_norm": 0.7826456427574158, + "learning_rate": 8.5985985985986e-05, + "loss": 2.4468, + "step": 5705 + }, + { + "epoch": 0.571, + "grad_norm": 0.7948140501976013, + "learning_rate": 8.588588588588588e-05, + "loss": 2.4527, + "step": 5710 + }, + { + "epoch": 0.5715, + "grad_norm": 0.7906607985496521, + "learning_rate": 8.578578578578578e-05, + "loss": 2.4312, + "step": 5715 + }, + { + "epoch": 0.572, + "grad_norm": 0.7874037027359009, + "learning_rate": 8.568568568568568e-05, + "loss": 2.4424, + "step": 5720 + }, + { + "epoch": 0.5725, + "grad_norm": 0.8326743245124817, + "learning_rate": 8.55855855855856e-05, + "loss": 2.4364, + "step": 5725 + }, + { + "epoch": 0.573, + "grad_norm": 0.7984150052070618, + "learning_rate": 8.54854854854855e-05, + "loss": 2.4359, + "step": 5730 + }, + { + "epoch": 0.5735, + "grad_norm": 0.8510274291038513, + "learning_rate": 8.538538538538538e-05, + "loss": 2.4469, + "step": 5735 + }, + { + "epoch": 0.574, + "grad_norm": 0.8147960305213928, + "learning_rate": 8.528528528528528e-05, + "loss": 2.43, + "step": 5740 + }, + { + "epoch": 0.5745, + "grad_norm": 0.8313918709754944, + "learning_rate": 8.518518518518518e-05, + "loss": 2.4197, + "step": 5745 + }, + { + "epoch": 0.575, + "grad_norm": 0.778278648853302, + "learning_rate": 8.50850850850851e-05, + "loss": 2.4241, + "step": 5750 + }, + { + "epoch": 0.5755, + "grad_norm": 0.8418667316436768, + "learning_rate": 8.4984984984985e-05, + "loss": 2.44, + "step": 5755 + }, + { + "epoch": 0.576, + "grad_norm": 0.7860630750656128, + "learning_rate": 8.488488488488489e-05, + "loss": 2.4175, + "step": 5760 + }, + { + "epoch": 0.5765, + "grad_norm": 0.781186044216156, + "learning_rate": 8.478478478478479e-05, + "loss": 2.4332, + "step": 5765 + }, + { + "epoch": 0.577, + "grad_norm": 0.8223111629486084, + "learning_rate": 8.468468468468469e-05, + "loss": 2.4359, + "step": 5770 + }, + { + "epoch": 0.5775, + "grad_norm": 0.7901541590690613, + "learning_rate": 8.458458458458459e-05, + "loss": 2.4187, + "step": 5775 + }, + { + "epoch": 0.578, + "grad_norm": 0.8545305728912354, + "learning_rate": 8.44844844844845e-05, + "loss": 2.4166, + "step": 5780 + }, + { + "epoch": 0.5785, + "grad_norm": 0.8031194806098938, + "learning_rate": 8.438438438438439e-05, + "loss": 2.4197, + "step": 5785 + }, + { + "epoch": 0.579, + "grad_norm": 0.7738260626792908, + "learning_rate": 8.428428428428429e-05, + "loss": 2.4568, + "step": 5790 + }, + { + "epoch": 0.5795, + "grad_norm": 0.8410106897354126, + "learning_rate": 8.418418418418419e-05, + "loss": 2.4529, + "step": 5795 + }, + { + "epoch": 0.58, + "grad_norm": 0.7939754724502563, + "learning_rate": 8.408408408408409e-05, + "loss": 2.4223, + "step": 5800 + }, + { + "epoch": 0.5805, + "grad_norm": 0.7813926935195923, + "learning_rate": 8.398398398398399e-05, + "loss": 2.406, + "step": 5805 + }, + { + "epoch": 0.581, + "grad_norm": 0.8259416818618774, + "learning_rate": 8.388388388388389e-05, + "loss": 2.4459, + "step": 5810 + }, + { + "epoch": 0.5815, + "grad_norm": 0.7753074169158936, + "learning_rate": 8.378378378378379e-05, + "loss": 2.4232, + "step": 5815 + }, + { + "epoch": 0.582, + "grad_norm": 0.7894231677055359, + "learning_rate": 8.368368368368369e-05, + "loss": 2.4229, + "step": 5820 + }, + { + "epoch": 0.5825, + "grad_norm": 0.840605616569519, + "learning_rate": 8.358358358358359e-05, + "loss": 2.4376, + "step": 5825 + }, + { + "epoch": 0.583, + "grad_norm": 0.8139504194259644, + "learning_rate": 8.348348348348349e-05, + "loss": 2.4088, + "step": 5830 + }, + { + "epoch": 0.5835, + "grad_norm": 0.7772433757781982, + "learning_rate": 8.338338338338339e-05, + "loss": 2.4242, + "step": 5835 + }, + { + "epoch": 0.584, + "grad_norm": 0.7719807028770447, + "learning_rate": 8.328328328328329e-05, + "loss": 2.4608, + "step": 5840 + }, + { + "epoch": 0.5845, + "grad_norm": 0.7588045597076416, + "learning_rate": 8.318318318318319e-05, + "loss": 2.4191, + "step": 5845 + }, + { + "epoch": 0.585, + "grad_norm": 0.771289587020874, + "learning_rate": 8.308308308308309e-05, + "loss": 2.4441, + "step": 5850 + }, + { + "epoch": 0.5855, + "grad_norm": 0.7876021862030029, + "learning_rate": 8.298298298298299e-05, + "loss": 2.4436, + "step": 5855 + }, + { + "epoch": 0.586, + "grad_norm": 0.7994235754013062, + "learning_rate": 8.288288288288289e-05, + "loss": 2.419, + "step": 5860 + }, + { + "epoch": 0.5865, + "grad_norm": 0.7812893390655518, + "learning_rate": 8.278278278278279e-05, + "loss": 2.4374, + "step": 5865 + }, + { + "epoch": 0.587, + "grad_norm": 0.7883958220481873, + "learning_rate": 8.268268268268269e-05, + "loss": 2.4307, + "step": 5870 + }, + { + "epoch": 0.5875, + "grad_norm": 0.782835066318512, + "learning_rate": 8.258258258258259e-05, + "loss": 2.4087, + "step": 5875 + }, + { + "epoch": 0.588, + "grad_norm": 0.7668812870979309, + "learning_rate": 8.248248248248247e-05, + "loss": 2.4005, + "step": 5880 + }, + { + "epoch": 0.5885, + "grad_norm": 0.7992317080497742, + "learning_rate": 8.238238238238239e-05, + "loss": 2.4111, + "step": 5885 + }, + { + "epoch": 0.589, + "grad_norm": 0.7875285744667053, + "learning_rate": 8.228228228228229e-05, + "loss": 2.425, + "step": 5890 + }, + { + "epoch": 0.5895, + "grad_norm": 0.7984848022460938, + "learning_rate": 8.218218218218219e-05, + "loss": 2.4234, + "step": 5895 + }, + { + "epoch": 0.59, + "grad_norm": 0.810619592666626, + "learning_rate": 8.208208208208209e-05, + "loss": 2.4293, + "step": 5900 + }, + { + "epoch": 0.5905, + "grad_norm": 0.7930707335472107, + "learning_rate": 8.198198198198198e-05, + "loss": 2.4147, + "step": 5905 + }, + { + "epoch": 0.591, + "grad_norm": 0.7991019487380981, + "learning_rate": 8.188188188188189e-05, + "loss": 2.4097, + "step": 5910 + }, + { + "epoch": 0.5915, + "grad_norm": 0.8091179728507996, + "learning_rate": 8.178178178178179e-05, + "loss": 2.4195, + "step": 5915 + }, + { + "epoch": 0.592, + "grad_norm": 0.7663683295249939, + "learning_rate": 8.168168168168169e-05, + "loss": 2.4095, + "step": 5920 + }, + { + "epoch": 0.5925, + "grad_norm": 0.7600463628768921, + "learning_rate": 8.158158158158159e-05, + "loss": 2.4348, + "step": 5925 + }, + { + "epoch": 0.593, + "grad_norm": 0.91126549243927, + "learning_rate": 8.148148148148148e-05, + "loss": 2.4321, + "step": 5930 + }, + { + "epoch": 0.5935, + "grad_norm": 0.8510048985481262, + "learning_rate": 8.138138138138138e-05, + "loss": 2.4069, + "step": 5935 + }, + { + "epoch": 0.594, + "grad_norm": 0.7488054633140564, + "learning_rate": 8.128128128128129e-05, + "loss": 2.4197, + "step": 5940 + }, + { + "epoch": 0.5945, + "grad_norm": 0.8285728096961975, + "learning_rate": 8.118118118118119e-05, + "loss": 2.4277, + "step": 5945 + }, + { + "epoch": 0.595, + "grad_norm": 0.8015768527984619, + "learning_rate": 8.108108108108109e-05, + "loss": 2.4033, + "step": 5950 + }, + { + "epoch": 0.5955, + "grad_norm": 0.8446034789085388, + "learning_rate": 8.098098098098098e-05, + "loss": 2.4207, + "step": 5955 + }, + { + "epoch": 0.596, + "grad_norm": 0.8294364213943481, + "learning_rate": 8.088088088088088e-05, + "loss": 2.4484, + "step": 5960 + }, + { + "epoch": 0.5965, + "grad_norm": 0.7883287668228149, + "learning_rate": 8.078078078078079e-05, + "loss": 2.4104, + "step": 5965 + }, + { + "epoch": 0.597, + "grad_norm": 0.7896589040756226, + "learning_rate": 8.068068068068069e-05, + "loss": 2.425, + "step": 5970 + }, + { + "epoch": 0.5975, + "grad_norm": 0.7847106456756592, + "learning_rate": 8.058058058058059e-05, + "loss": 2.4173, + "step": 5975 + }, + { + "epoch": 0.598, + "grad_norm": 0.8176475763320923, + "learning_rate": 8.048048048048048e-05, + "loss": 2.4333, + "step": 5980 + }, + { + "epoch": 0.5985, + "grad_norm": 0.8108943104743958, + "learning_rate": 8.038038038038038e-05, + "loss": 2.4264, + "step": 5985 + }, + { + "epoch": 0.599, + "grad_norm": 0.8394784331321716, + "learning_rate": 8.028028028028028e-05, + "loss": 2.4001, + "step": 5990 + }, + { + "epoch": 0.5995, + "grad_norm": 0.8406071662902832, + "learning_rate": 8.018018018018019e-05, + "loss": 2.435, + "step": 5995 + }, + { + "epoch": 0.6, + "grad_norm": 0.9026022553443909, + "learning_rate": 8.008008008008009e-05, + "loss": 2.4271, + "step": 6000 + }, + { + "epoch": 0.6005, + "grad_norm": 0.8024097084999084, + "learning_rate": 7.997997997997998e-05, + "loss": 2.4278, + "step": 6005 + }, + { + "epoch": 0.601, + "grad_norm": 0.7905908823013306, + "learning_rate": 7.987987987987988e-05, + "loss": 2.4215, + "step": 6010 + }, + { + "epoch": 0.6015, + "grad_norm": 0.8006245493888855, + "learning_rate": 7.977977977977978e-05, + "loss": 2.4114, + "step": 6015 + }, + { + "epoch": 0.602, + "grad_norm": 0.8655180335044861, + "learning_rate": 7.967967967967969e-05, + "loss": 2.4196, + "step": 6020 + }, + { + "epoch": 0.6025, + "grad_norm": 0.8015463352203369, + "learning_rate": 7.957957957957959e-05, + "loss": 2.4352, + "step": 6025 + }, + { + "epoch": 0.603, + "grad_norm": 0.7995092272758484, + "learning_rate": 7.947947947947948e-05, + "loss": 2.4106, + "step": 6030 + }, + { + "epoch": 0.6035, + "grad_norm": 0.8037542104721069, + "learning_rate": 7.937937937937938e-05, + "loss": 2.4104, + "step": 6035 + }, + { + "epoch": 0.604, + "grad_norm": 0.8060451745986938, + "learning_rate": 7.927927927927928e-05, + "loss": 2.4313, + "step": 6040 + }, + { + "epoch": 0.6045, + "grad_norm": 0.8142174482345581, + "learning_rate": 7.917917917917918e-05, + "loss": 2.4307, + "step": 6045 + }, + { + "epoch": 0.605, + "grad_norm": 0.791358232498169, + "learning_rate": 7.90790790790791e-05, + "loss": 2.4212, + "step": 6050 + }, + { + "epoch": 0.6055, + "grad_norm": 0.8433311581611633, + "learning_rate": 7.897897897897898e-05, + "loss": 2.3925, + "step": 6055 + }, + { + "epoch": 0.606, + "grad_norm": 0.7595745325088501, + "learning_rate": 7.887887887887888e-05, + "loss": 2.3948, + "step": 6060 + }, + { + "epoch": 0.6065, + "grad_norm": 0.7723388075828552, + "learning_rate": 7.877877877877878e-05, + "loss": 2.4276, + "step": 6065 + }, + { + "epoch": 0.607, + "grad_norm": 0.8227433562278748, + "learning_rate": 7.867867867867868e-05, + "loss": 2.4065, + "step": 6070 + }, + { + "epoch": 0.6075, + "grad_norm": 0.8013408184051514, + "learning_rate": 7.85785785785786e-05, + "loss": 2.4273, + "step": 6075 + }, + { + "epoch": 0.608, + "grad_norm": 0.7976078391075134, + "learning_rate": 7.847847847847848e-05, + "loss": 2.4027, + "step": 6080 + }, + { + "epoch": 0.6085, + "grad_norm": 0.7952542901039124, + "learning_rate": 7.837837837837838e-05, + "loss": 2.3998, + "step": 6085 + }, + { + "epoch": 0.609, + "grad_norm": 0.8024086952209473, + "learning_rate": 7.827827827827828e-05, + "loss": 2.4051, + "step": 6090 + }, + { + "epoch": 0.6095, + "grad_norm": 0.9264689683914185, + "learning_rate": 7.817817817817818e-05, + "loss": 2.431, + "step": 6095 + }, + { + "epoch": 0.61, + "grad_norm": 0.7977313995361328, + "learning_rate": 7.807807807807808e-05, + "loss": 2.3998, + "step": 6100 + }, + { + "epoch": 0.6105, + "grad_norm": 0.8100118041038513, + "learning_rate": 7.797797797797798e-05, + "loss": 2.4272, + "step": 6105 + }, + { + "epoch": 0.611, + "grad_norm": 0.7686548829078674, + "learning_rate": 7.787787787787788e-05, + "loss": 2.4215, + "step": 6110 + }, + { + "epoch": 0.6115, + "grad_norm": 0.7883079051971436, + "learning_rate": 7.777777777777778e-05, + "loss": 2.4235, + "step": 6115 + }, + { + "epoch": 0.612, + "grad_norm": 0.7836454510688782, + "learning_rate": 7.767767767767768e-05, + "loss": 2.4161, + "step": 6120 + }, + { + "epoch": 0.6125, + "grad_norm": 0.7758154273033142, + "learning_rate": 7.757757757757758e-05, + "loss": 2.384, + "step": 6125 + }, + { + "epoch": 0.613, + "grad_norm": 0.8135970830917358, + "learning_rate": 7.747747747747748e-05, + "loss": 2.4148, + "step": 6130 + }, + { + "epoch": 0.6135, + "grad_norm": 0.8397132158279419, + "learning_rate": 7.737737737737738e-05, + "loss": 2.3973, + "step": 6135 + }, + { + "epoch": 0.614, + "grad_norm": 0.8081435561180115, + "learning_rate": 7.727727727727728e-05, + "loss": 2.4167, + "step": 6140 + }, + { + "epoch": 0.6145, + "grad_norm": 0.7891101837158203, + "learning_rate": 7.717717717717718e-05, + "loss": 2.3973, + "step": 6145 + }, + { + "epoch": 0.615, + "grad_norm": 0.793466329574585, + "learning_rate": 7.707707707707707e-05, + "loss": 2.4144, + "step": 6150 + }, + { + "epoch": 0.6155, + "grad_norm": 0.8238446712493896, + "learning_rate": 7.697697697697698e-05, + "loss": 2.403, + "step": 6155 + }, + { + "epoch": 0.616, + "grad_norm": 0.7987673282623291, + "learning_rate": 7.687687687687688e-05, + "loss": 2.4049, + "step": 6160 + }, + { + "epoch": 0.6165, + "grad_norm": 0.8488965630531311, + "learning_rate": 7.677677677677678e-05, + "loss": 2.4099, + "step": 6165 + }, + { + "epoch": 0.617, + "grad_norm": 0.7871595025062561, + "learning_rate": 7.667667667667668e-05, + "loss": 2.4306, + "step": 6170 + }, + { + "epoch": 0.6175, + "grad_norm": 0.7598607540130615, + "learning_rate": 7.657657657657657e-05, + "loss": 2.4022, + "step": 6175 + }, + { + "epoch": 0.618, + "grad_norm": 0.8631352186203003, + "learning_rate": 7.647647647647648e-05, + "loss": 2.4056, + "step": 6180 + }, + { + "epoch": 0.6185, + "grad_norm": 0.7995339035987854, + "learning_rate": 7.637637637637638e-05, + "loss": 2.4138, + "step": 6185 + }, + { + "epoch": 0.619, + "grad_norm": 0.7987746000289917, + "learning_rate": 7.627627627627628e-05, + "loss": 2.4078, + "step": 6190 + }, + { + "epoch": 0.6195, + "grad_norm": 0.7808003425598145, + "learning_rate": 7.617617617617618e-05, + "loss": 2.4012, + "step": 6195 + }, + { + "epoch": 0.62, + "grad_norm": 0.8006256222724915, + "learning_rate": 7.607607607607607e-05, + "loss": 2.3998, + "step": 6200 + }, + { + "epoch": 0.6205, + "grad_norm": 0.846108615398407, + "learning_rate": 7.597597597597597e-05, + "loss": 2.4268, + "step": 6205 + }, + { + "epoch": 0.621, + "grad_norm": 0.7796756029129028, + "learning_rate": 7.587587587587588e-05, + "loss": 2.4189, + "step": 6210 + }, + { + "epoch": 0.6215, + "grad_norm": 0.8724086284637451, + "learning_rate": 7.577577577577578e-05, + "loss": 2.4175, + "step": 6215 + }, + { + "epoch": 0.622, + "grad_norm": 0.8391619324684143, + "learning_rate": 7.567567567567568e-05, + "loss": 2.4017, + "step": 6220 + }, + { + "epoch": 0.6225, + "grad_norm": 0.8112910985946655, + "learning_rate": 7.557557557557557e-05, + "loss": 2.4015, + "step": 6225 + }, + { + "epoch": 0.623, + "grad_norm": 0.7913944721221924, + "learning_rate": 7.547547547547547e-05, + "loss": 2.4084, + "step": 6230 + }, + { + "epoch": 0.6235, + "grad_norm": 0.765633225440979, + "learning_rate": 7.537537537537538e-05, + "loss": 2.406, + "step": 6235 + }, + { + "epoch": 0.624, + "grad_norm": 0.8250996470451355, + "learning_rate": 7.527527527527528e-05, + "loss": 2.4235, + "step": 6240 + }, + { + "epoch": 0.6245, + "grad_norm": 0.8208925127983093, + "learning_rate": 7.517517517517519e-05, + "loss": 2.4228, + "step": 6245 + }, + { + "epoch": 0.625, + "grad_norm": 0.7971552014350891, + "learning_rate": 7.507507507507507e-05, + "loss": 2.4004, + "step": 6250 + }, + { + "epoch": 0.6255, + "grad_norm": 0.7985517978668213, + "learning_rate": 7.497497497497497e-05, + "loss": 2.3964, + "step": 6255 + }, + { + "epoch": 0.626, + "grad_norm": 0.8133323788642883, + "learning_rate": 7.487487487487487e-05, + "loss": 2.3983, + "step": 6260 + }, + { + "epoch": 0.6265, + "grad_norm": 0.8303823471069336, + "learning_rate": 7.477477477477479e-05, + "loss": 2.4052, + "step": 6265 + }, + { + "epoch": 0.627, + "grad_norm": 0.7818722724914551, + "learning_rate": 7.467467467467469e-05, + "loss": 2.3879, + "step": 6270 + }, + { + "epoch": 0.6275, + "grad_norm": 0.7834113836288452, + "learning_rate": 7.457457457457457e-05, + "loss": 2.3996, + "step": 6275 + }, + { + "epoch": 0.628, + "grad_norm": 0.857519805431366, + "learning_rate": 7.447447447447447e-05, + "loss": 2.3838, + "step": 6280 + }, + { + "epoch": 0.6285, + "grad_norm": 0.8000242710113525, + "learning_rate": 7.437437437437437e-05, + "loss": 2.4151, + "step": 6285 + }, + { + "epoch": 0.629, + "grad_norm": 0.780372142791748, + "learning_rate": 7.427427427427429e-05, + "loss": 2.3838, + "step": 6290 + }, + { + "epoch": 0.6295, + "grad_norm": 0.8650689721107483, + "learning_rate": 7.417417417417419e-05, + "loss": 2.4185, + "step": 6295 + }, + { + "epoch": 0.63, + "grad_norm": 0.8233420848846436, + "learning_rate": 7.407407407407407e-05, + "loss": 2.4164, + "step": 6300 + }, + { + "epoch": 0.6305, + "grad_norm": 0.7887721061706543, + "learning_rate": 7.397397397397397e-05, + "loss": 2.4061, + "step": 6305 + }, + { + "epoch": 0.631, + "grad_norm": 0.7893443703651428, + "learning_rate": 7.387387387387387e-05, + "loss": 2.4253, + "step": 6310 + }, + { + "epoch": 0.6315, + "grad_norm": 0.7930344939231873, + "learning_rate": 7.377377377377377e-05, + "loss": 2.4065, + "step": 6315 + }, + { + "epoch": 0.632, + "grad_norm": 0.7902653813362122, + "learning_rate": 7.367367367367369e-05, + "loss": 2.4017, + "step": 6320 + }, + { + "epoch": 0.6325, + "grad_norm": 0.7905397415161133, + "learning_rate": 7.357357357357357e-05, + "loss": 2.4077, + "step": 6325 + }, + { + "epoch": 0.633, + "grad_norm": 0.7757744789123535, + "learning_rate": 7.347347347347347e-05, + "loss": 2.3954, + "step": 6330 + }, + { + "epoch": 0.6335, + "grad_norm": 0.7905138731002808, + "learning_rate": 7.337337337337337e-05, + "loss": 2.3949, + "step": 6335 + }, + { + "epoch": 0.634, + "grad_norm": 0.7751962542533875, + "learning_rate": 7.327327327327327e-05, + "loss": 2.4121, + "step": 6340 + }, + { + "epoch": 0.6345, + "grad_norm": 0.7948694825172424, + "learning_rate": 7.317317317317319e-05, + "loss": 2.385, + "step": 6345 + }, + { + "epoch": 0.635, + "grad_norm": 0.8490158915519714, + "learning_rate": 7.307307307307307e-05, + "loss": 2.4051, + "step": 6350 + }, + { + "epoch": 0.6355, + "grad_norm": 0.7961251139640808, + "learning_rate": 7.297297297297297e-05, + "loss": 2.3849, + "step": 6355 + }, + { + "epoch": 0.636, + "grad_norm": 0.8053735494613647, + "learning_rate": 7.287287287287287e-05, + "loss": 2.4177, + "step": 6360 + }, + { + "epoch": 0.6365, + "grad_norm": 0.819907546043396, + "learning_rate": 7.277277277277277e-05, + "loss": 2.406, + "step": 6365 + }, + { + "epoch": 0.637, + "grad_norm": 0.7854018211364746, + "learning_rate": 7.267267267267268e-05, + "loss": 2.386, + "step": 6370 + }, + { + "epoch": 0.6375, + "grad_norm": 0.7699578404426575, + "learning_rate": 7.257257257257258e-05, + "loss": 2.398, + "step": 6375 + }, + { + "epoch": 0.638, + "grad_norm": 0.8161998391151428, + "learning_rate": 7.247247247247248e-05, + "loss": 2.4012, + "step": 6380 + }, + { + "epoch": 0.6385, + "grad_norm": 0.8244718313217163, + "learning_rate": 7.237237237237238e-05, + "loss": 2.3886, + "step": 6385 + }, + { + "epoch": 0.639, + "grad_norm": 0.7753651142120361, + "learning_rate": 7.227227227227228e-05, + "loss": 2.4174, + "step": 6390 + }, + { + "epoch": 0.6395, + "grad_norm": 0.7991912961006165, + "learning_rate": 7.217217217217218e-05, + "loss": 2.3901, + "step": 6395 + }, + { + "epoch": 0.64, + "grad_norm": 0.8403205871582031, + "learning_rate": 7.207207207207208e-05, + "loss": 2.4054, + "step": 6400 + }, + { + "epoch": 0.6405, + "grad_norm": 0.7843438982963562, + "learning_rate": 7.197197197197198e-05, + "loss": 2.3861, + "step": 6405 + }, + { + "epoch": 0.641, + "grad_norm": 0.7796940207481384, + "learning_rate": 7.187187187187188e-05, + "loss": 2.3997, + "step": 6410 + }, + { + "epoch": 0.6415, + "grad_norm": 0.7885047197341919, + "learning_rate": 7.177177177177178e-05, + "loss": 2.3816, + "step": 6415 + }, + { + "epoch": 0.642, + "grad_norm": 0.861638605594635, + "learning_rate": 7.167167167167166e-05, + "loss": 2.3842, + "step": 6420 + }, + { + "epoch": 0.6425, + "grad_norm": 0.7908929586410522, + "learning_rate": 7.157157157157158e-05, + "loss": 2.3871, + "step": 6425 + }, + { + "epoch": 0.643, + "grad_norm": 0.811220645904541, + "learning_rate": 7.147147147147148e-05, + "loss": 2.3836, + "step": 6430 + }, + { + "epoch": 0.6435, + "grad_norm": 0.8271155953407288, + "learning_rate": 7.137137137137138e-05, + "loss": 2.421, + "step": 6435 + }, + { + "epoch": 0.644, + "grad_norm": 0.76975017786026, + "learning_rate": 7.127127127127128e-05, + "loss": 2.4102, + "step": 6440 + }, + { + "epoch": 0.6445, + "grad_norm": 0.8396703004837036, + "learning_rate": 7.117117117117116e-05, + "loss": 2.3815, + "step": 6445 + }, + { + "epoch": 0.645, + "grad_norm": 0.9385436773300171, + "learning_rate": 7.107107107107108e-05, + "loss": 2.4079, + "step": 6450 + }, + { + "epoch": 0.6455, + "grad_norm": 0.7908446192741394, + "learning_rate": 7.097097097097098e-05, + "loss": 2.4033, + "step": 6455 + }, + { + "epoch": 0.646, + "grad_norm": 0.7973217368125916, + "learning_rate": 7.087087087087088e-05, + "loss": 2.3928, + "step": 6460 + }, + { + "epoch": 0.6465, + "grad_norm": 0.789564311504364, + "learning_rate": 7.077077077077078e-05, + "loss": 2.3913, + "step": 6465 + }, + { + "epoch": 0.647, + "grad_norm": 0.822909951210022, + "learning_rate": 7.067067067067066e-05, + "loss": 2.4108, + "step": 6470 + }, + { + "epoch": 0.6475, + "grad_norm": 0.8042473196983337, + "learning_rate": 7.057057057057056e-05, + "loss": 2.3953, + "step": 6475 + }, + { + "epoch": 0.648, + "grad_norm": 0.8470174670219421, + "learning_rate": 7.047047047047048e-05, + "loss": 2.3844, + "step": 6480 + }, + { + "epoch": 0.6485, + "grad_norm": 0.8247309923171997, + "learning_rate": 7.037037037037038e-05, + "loss": 2.4239, + "step": 6485 + }, + { + "epoch": 0.649, + "grad_norm": 0.8267856240272522, + "learning_rate": 7.027027027027028e-05, + "loss": 2.3997, + "step": 6490 + }, + { + "epoch": 0.6495, + "grad_norm": 0.7668282985687256, + "learning_rate": 7.017017017017016e-05, + "loss": 2.4032, + "step": 6495 + }, + { + "epoch": 0.65, + "grad_norm": 0.8035463094711304, + "learning_rate": 7.007007007007007e-05, + "loss": 2.3905, + "step": 6500 + }, + { + "epoch": 0.6505, + "grad_norm": 0.7903201580047607, + "learning_rate": 6.996996996996998e-05, + "loss": 2.3934, + "step": 6505 + }, + { + "epoch": 0.651, + "grad_norm": 0.8082432150840759, + "learning_rate": 6.986986986986988e-05, + "loss": 2.3888, + "step": 6510 + }, + { + "epoch": 0.6515, + "grad_norm": 0.7989760637283325, + "learning_rate": 6.976976976976978e-05, + "loss": 2.4032, + "step": 6515 + }, + { + "epoch": 0.652, + "grad_norm": 0.7746159434318542, + "learning_rate": 6.966966966966967e-05, + "loss": 2.375, + "step": 6520 + }, + { + "epoch": 0.6525, + "grad_norm": 0.7914102673530579, + "learning_rate": 6.956956956956957e-05, + "loss": 2.3899, + "step": 6525 + }, + { + "epoch": 0.653, + "grad_norm": 0.7977505922317505, + "learning_rate": 6.946946946946947e-05, + "loss": 2.3844, + "step": 6530 + }, + { + "epoch": 0.6535, + "grad_norm": 0.7890195846557617, + "learning_rate": 6.936936936936938e-05, + "loss": 2.4019, + "step": 6535 + }, + { + "epoch": 0.654, + "grad_norm": 0.8067911267280579, + "learning_rate": 6.926926926926928e-05, + "loss": 2.3693, + "step": 6540 + }, + { + "epoch": 0.6545, + "grad_norm": 0.8240167498588562, + "learning_rate": 6.916916916916917e-05, + "loss": 2.392, + "step": 6545 + }, + { + "epoch": 0.655, + "grad_norm": 0.8075880408287048, + "learning_rate": 6.906906906906907e-05, + "loss": 2.386, + "step": 6550 + }, + { + "epoch": 0.6555, + "grad_norm": 0.7833337187767029, + "learning_rate": 6.896896896896897e-05, + "loss": 2.4056, + "step": 6555 + }, + { + "epoch": 0.656, + "grad_norm": 0.7844520211219788, + "learning_rate": 6.886886886886888e-05, + "loss": 2.388, + "step": 6560 + }, + { + "epoch": 0.6565, + "grad_norm": 0.8572016954421997, + "learning_rate": 6.876876876876878e-05, + "loss": 2.4083, + "step": 6565 + }, + { + "epoch": 0.657, + "grad_norm": 0.7906028032302856, + "learning_rate": 6.866866866866867e-05, + "loss": 2.3917, + "step": 6570 + }, + { + "epoch": 0.6575, + "grad_norm": 0.802037239074707, + "learning_rate": 6.856856856856857e-05, + "loss": 2.4229, + "step": 6575 + }, + { + "epoch": 0.658, + "grad_norm": 0.8108525276184082, + "learning_rate": 6.846846846846847e-05, + "loss": 2.3852, + "step": 6580 + }, + { + "epoch": 0.6585, + "grad_norm": 0.8359381556510925, + "learning_rate": 6.836836836836837e-05, + "loss": 2.4062, + "step": 6585 + }, + { + "epoch": 0.659, + "grad_norm": 0.8545534014701843, + "learning_rate": 6.826826826826828e-05, + "loss": 2.3873, + "step": 6590 + }, + { + "epoch": 0.6595, + "grad_norm": 0.8026583194732666, + "learning_rate": 6.816816816816817e-05, + "loss": 2.389, + "step": 6595 + }, + { + "epoch": 0.66, + "grad_norm": 0.7658330798149109, + "learning_rate": 6.806806806806807e-05, + "loss": 2.3863, + "step": 6600 + }, + { + "epoch": 0.6605, + "grad_norm": 0.7946294546127319, + "learning_rate": 6.796796796796797e-05, + "loss": 2.3827, + "step": 6605 + }, + { + "epoch": 0.661, + "grad_norm": 0.8445372581481934, + "learning_rate": 6.786786786786787e-05, + "loss": 2.3818, + "step": 6610 + }, + { + "epoch": 0.6615, + "grad_norm": 0.7817666530609131, + "learning_rate": 6.776776776776778e-05, + "loss": 2.3779, + "step": 6615 + }, + { + "epoch": 0.662, + "grad_norm": 0.803107500076294, + "learning_rate": 6.766766766766767e-05, + "loss": 2.3962, + "step": 6620 + }, + { + "epoch": 0.6625, + "grad_norm": 0.8931746482849121, + "learning_rate": 6.756756756756757e-05, + "loss": 2.3628, + "step": 6625 + }, + { + "epoch": 0.663, + "grad_norm": 0.8346350193023682, + "learning_rate": 6.746746746746747e-05, + "loss": 2.3931, + "step": 6630 + }, + { + "epoch": 0.6635, + "grad_norm": 0.7959952354431152, + "learning_rate": 6.736736736736737e-05, + "loss": 2.3881, + "step": 6635 + }, + { + "epoch": 0.664, + "grad_norm": 0.7849836349487305, + "learning_rate": 6.726726726726727e-05, + "loss": 2.366, + "step": 6640 + }, + { + "epoch": 0.6645, + "grad_norm": 0.8243876099586487, + "learning_rate": 6.716716716716717e-05, + "loss": 2.4016, + "step": 6645 + }, + { + "epoch": 0.665, + "grad_norm": 0.7896625399589539, + "learning_rate": 6.706706706706707e-05, + "loss": 2.4097, + "step": 6650 + }, + { + "epoch": 0.6655, + "grad_norm": 0.7979716658592224, + "learning_rate": 6.696696696696697e-05, + "loss": 2.3869, + "step": 6655 + }, + { + "epoch": 0.666, + "grad_norm": 0.8322969079017639, + "learning_rate": 6.686686686686687e-05, + "loss": 2.3922, + "step": 6660 + }, + { + "epoch": 0.6665, + "grad_norm": 0.791321337223053, + "learning_rate": 6.676676676676677e-05, + "loss": 2.3664, + "step": 6665 + }, + { + "epoch": 0.667, + "grad_norm": 0.7899481654167175, + "learning_rate": 6.666666666666667e-05, + "loss": 2.3971, + "step": 6670 + }, + { + "epoch": 0.6675, + "grad_norm": 0.8165993690490723, + "learning_rate": 6.656656656656657e-05, + "loss": 2.3891, + "step": 6675 + }, + { + "epoch": 0.668, + "grad_norm": 0.8781505227088928, + "learning_rate": 6.646646646646647e-05, + "loss": 2.3837, + "step": 6680 + }, + { + "epoch": 0.6685, + "grad_norm": 0.8235121965408325, + "learning_rate": 6.636636636636637e-05, + "loss": 2.3965, + "step": 6685 + }, + { + "epoch": 0.669, + "grad_norm": 0.8322201371192932, + "learning_rate": 6.626626626626627e-05, + "loss": 2.3918, + "step": 6690 + }, + { + "epoch": 0.6695, + "grad_norm": 0.7922030091285706, + "learning_rate": 6.616616616616617e-05, + "loss": 2.3822, + "step": 6695 + }, + { + "epoch": 0.67, + "grad_norm": 0.8057646155357361, + "learning_rate": 6.606606606606607e-05, + "loss": 2.4046, + "step": 6700 + }, + { + "epoch": 0.6705, + "grad_norm": 0.7984603643417358, + "learning_rate": 6.596596596596597e-05, + "loss": 2.3881, + "step": 6705 + }, + { + "epoch": 0.671, + "grad_norm": 0.8076169490814209, + "learning_rate": 6.586586586586587e-05, + "loss": 2.394, + "step": 6710 + }, + { + "epoch": 0.6715, + "grad_norm": 0.8120995163917542, + "learning_rate": 6.576576576576577e-05, + "loss": 2.3725, + "step": 6715 + }, + { + "epoch": 0.672, + "grad_norm": 0.8239960670471191, + "learning_rate": 6.566566566566567e-05, + "loss": 2.3895, + "step": 6720 + }, + { + "epoch": 0.6725, + "grad_norm": 0.8266900777816772, + "learning_rate": 6.556556556556557e-05, + "loss": 2.3901, + "step": 6725 + }, + { + "epoch": 0.673, + "grad_norm": 0.8476052284240723, + "learning_rate": 6.546546546546547e-05, + "loss": 2.3951, + "step": 6730 + }, + { + "epoch": 0.6735, + "grad_norm": 0.8398421406745911, + "learning_rate": 6.536536536536537e-05, + "loss": 2.3687, + "step": 6735 + }, + { + "epoch": 0.674, + "grad_norm": 0.8095033764839172, + "learning_rate": 6.526526526526526e-05, + "loss": 2.3898, + "step": 6740 + }, + { + "epoch": 0.6745, + "grad_norm": 0.8121087551116943, + "learning_rate": 6.516516516516516e-05, + "loss": 2.3846, + "step": 6745 + }, + { + "epoch": 0.675, + "grad_norm": 0.8165614604949951, + "learning_rate": 6.506506506506507e-05, + "loss": 2.3672, + "step": 6750 + }, + { + "epoch": 0.6755, + "grad_norm": 0.7994385361671448, + "learning_rate": 6.496496496496497e-05, + "loss": 2.3918, + "step": 6755 + }, + { + "epoch": 0.676, + "grad_norm": 0.7793731093406677, + "learning_rate": 6.486486486486487e-05, + "loss": 2.3742, + "step": 6760 + }, + { + "epoch": 0.6765, + "grad_norm": 0.8018571734428406, + "learning_rate": 6.476476476476476e-05, + "loss": 2.3878, + "step": 6765 + }, + { + "epoch": 0.677, + "grad_norm": 0.780410647392273, + "learning_rate": 6.466466466466466e-05, + "loss": 2.3851, + "step": 6770 + }, + { + "epoch": 0.6775, + "grad_norm": 0.8321567177772522, + "learning_rate": 6.456456456456457e-05, + "loss": 2.3919, + "step": 6775 + }, + { + "epoch": 0.678, + "grad_norm": 0.8763487935066223, + "learning_rate": 6.446446446446447e-05, + "loss": 2.3742, + "step": 6780 + }, + { + "epoch": 0.6785, + "grad_norm": 0.8359047174453735, + "learning_rate": 6.436436436436437e-05, + "loss": 2.3855, + "step": 6785 + }, + { + "epoch": 0.679, + "grad_norm": 0.9007706046104431, + "learning_rate": 6.426426426426426e-05, + "loss": 2.3771, + "step": 6790 + }, + { + "epoch": 0.6795, + "grad_norm": 0.9482093453407288, + "learning_rate": 6.416416416416416e-05, + "loss": 2.3943, + "step": 6795 + }, + { + "epoch": 0.68, + "grad_norm": 0.8471071124076843, + "learning_rate": 6.406406406406406e-05, + "loss": 2.4029, + "step": 6800 + }, + { + "epoch": 0.6805, + "grad_norm": 0.7937386631965637, + "learning_rate": 6.396396396396397e-05, + "loss": 2.3944, + "step": 6805 + }, + { + "epoch": 0.681, + "grad_norm": 0.8067902326583862, + "learning_rate": 6.386386386386387e-05, + "loss": 2.3953, + "step": 6810 + }, + { + "epoch": 0.6815, + "grad_norm": 0.7922859787940979, + "learning_rate": 6.376376376376376e-05, + "loss": 2.391, + "step": 6815 + }, + { + "epoch": 0.682, + "grad_norm": 0.8054628968238831, + "learning_rate": 6.366366366366366e-05, + "loss": 2.3825, + "step": 6820 + }, + { + "epoch": 0.6825, + "grad_norm": 0.8414512872695923, + "learning_rate": 6.356356356356356e-05, + "loss": 2.3758, + "step": 6825 + }, + { + "epoch": 0.683, + "grad_norm": 0.7730977535247803, + "learning_rate": 6.346346346346347e-05, + "loss": 2.3916, + "step": 6830 + }, + { + "epoch": 0.6835, + "grad_norm": 0.8458556532859802, + "learning_rate": 6.336336336336337e-05, + "loss": 2.3863, + "step": 6835 + }, + { + "epoch": 0.684, + "grad_norm": 0.7820555567741394, + "learning_rate": 6.326326326326326e-05, + "loss": 2.3712, + "step": 6840 + }, + { + "epoch": 0.6845, + "grad_norm": 0.7969538569450378, + "learning_rate": 6.316316316316316e-05, + "loss": 2.3888, + "step": 6845 + }, + { + "epoch": 0.685, + "grad_norm": 0.862758994102478, + "learning_rate": 6.306306306306306e-05, + "loss": 2.3901, + "step": 6850 + }, + { + "epoch": 0.6855, + "grad_norm": 0.8746228814125061, + "learning_rate": 6.296296296296296e-05, + "loss": 2.3993, + "step": 6855 + }, + { + "epoch": 0.686, + "grad_norm": 0.8406643271446228, + "learning_rate": 6.286286286286288e-05, + "loss": 2.3831, + "step": 6860 + }, + { + "epoch": 0.6865, + "grad_norm": 0.8201842308044434, + "learning_rate": 6.276276276276276e-05, + "loss": 2.382, + "step": 6865 + }, + { + "epoch": 0.687, + "grad_norm": 0.8067729473114014, + "learning_rate": 6.266266266266266e-05, + "loss": 2.3728, + "step": 6870 + }, + { + "epoch": 0.6875, + "grad_norm": 0.8983192443847656, + "learning_rate": 6.256256256256256e-05, + "loss": 2.3881, + "step": 6875 + }, + { + "epoch": 0.688, + "grad_norm": 0.9659560918807983, + "learning_rate": 6.246246246246246e-05, + "loss": 2.389, + "step": 6880 + }, + { + "epoch": 0.6885, + "grad_norm": 0.8363260626792908, + "learning_rate": 6.236236236236238e-05, + "loss": 2.3664, + "step": 6885 + }, + { + "epoch": 0.689, + "grad_norm": 0.8459045886993408, + "learning_rate": 6.226226226226226e-05, + "loss": 2.3857, + "step": 6890 + }, + { + "epoch": 0.6895, + "grad_norm": 0.8440020680427551, + "learning_rate": 6.216216216216216e-05, + "loss": 2.3642, + "step": 6895 + }, + { + "epoch": 0.69, + "grad_norm": 0.8255513906478882, + "learning_rate": 6.206206206206206e-05, + "loss": 2.3844, + "step": 6900 + }, + { + "epoch": 0.6905, + "grad_norm": 0.7914440631866455, + "learning_rate": 6.196196196196196e-05, + "loss": 2.3754, + "step": 6905 + }, + { + "epoch": 0.691, + "grad_norm": 0.832038164138794, + "learning_rate": 6.186186186186186e-05, + "loss": 2.3786, + "step": 6910 + }, + { + "epoch": 0.6915, + "grad_norm": 0.8137945532798767, + "learning_rate": 6.176176176176176e-05, + "loss": 2.3672, + "step": 6915 + }, + { + "epoch": 0.692, + "grad_norm": 0.7861709594726562, + "learning_rate": 6.166166166166166e-05, + "loss": 2.3816, + "step": 6920 + }, + { + "epoch": 0.6925, + "grad_norm": 0.8148735165596008, + "learning_rate": 6.156156156156156e-05, + "loss": 2.4103, + "step": 6925 + }, + { + "epoch": 0.693, + "grad_norm": 0.8730798959732056, + "learning_rate": 6.146146146146146e-05, + "loss": 2.3654, + "step": 6930 + }, + { + "epoch": 0.6935, + "grad_norm": 0.848082959651947, + "learning_rate": 6.136136136136136e-05, + "loss": 2.3925, + "step": 6935 + }, + { + "epoch": 0.694, + "grad_norm": 0.7952349185943604, + "learning_rate": 6.126126126126126e-05, + "loss": 2.3652, + "step": 6940 + }, + { + "epoch": 0.6945, + "grad_norm": 0.8390651345252991, + "learning_rate": 6.116116116116116e-05, + "loss": 2.3919, + "step": 6945 + }, + { + "epoch": 0.695, + "grad_norm": 0.8806639909744263, + "learning_rate": 6.106106106106106e-05, + "loss": 2.3805, + "step": 6950 + }, + { + "epoch": 0.6955, + "grad_norm": 0.7894412279129028, + "learning_rate": 6.0960960960960964e-05, + "loss": 2.4064, + "step": 6955 + }, + { + "epoch": 0.696, + "grad_norm": 0.7991839051246643, + "learning_rate": 6.086086086086087e-05, + "loss": 2.376, + "step": 6960 + }, + { + "epoch": 0.6965, + "grad_norm": 0.8137059807777405, + "learning_rate": 6.076076076076076e-05, + "loss": 2.3747, + "step": 6965 + }, + { + "epoch": 0.697, + "grad_norm": 0.8530757427215576, + "learning_rate": 6.0660660660660665e-05, + "loss": 2.3922, + "step": 6970 + }, + { + "epoch": 0.6975, + "grad_norm": 0.8087310791015625, + "learning_rate": 6.0560560560560565e-05, + "loss": 2.3654, + "step": 6975 + }, + { + "epoch": 0.698, + "grad_norm": 0.8027787208557129, + "learning_rate": 6.0460460460460465e-05, + "loss": 2.3812, + "step": 6980 + }, + { + "epoch": 0.6985, + "grad_norm": 0.8009427189826965, + "learning_rate": 6.0360360360360365e-05, + "loss": 2.3796, + "step": 6985 + }, + { + "epoch": 0.699, + "grad_norm": 0.8391687870025635, + "learning_rate": 6.026026026026026e-05, + "loss": 2.3901, + "step": 6990 + }, + { + "epoch": 0.6995, + "grad_norm": 0.783051609992981, + "learning_rate": 6.016016016016016e-05, + "loss": 2.351, + "step": 6995 + }, + { + "epoch": 0.7, + "grad_norm": 0.8066600561141968, + "learning_rate": 6.0060060060060066e-05, + "loss": 2.3802, + "step": 7000 + }, + { + "epoch": 0.7005, + "grad_norm": 0.8261300921440125, + "learning_rate": 5.9959959959959966e-05, + "loss": 2.3914, + "step": 7005 + }, + { + "epoch": 0.701, + "grad_norm": 0.7957533001899719, + "learning_rate": 5.9859859859859866e-05, + "loss": 2.3762, + "step": 7010 + }, + { + "epoch": 0.7015, + "grad_norm": 0.7757399678230286, + "learning_rate": 5.975975975975976e-05, + "loss": 2.3712, + "step": 7015 + }, + { + "epoch": 0.702, + "grad_norm": 0.8133918046951294, + "learning_rate": 5.965965965965966e-05, + "loss": 2.3628, + "step": 7020 + }, + { + "epoch": 0.7025, + "grad_norm": 0.7873533368110657, + "learning_rate": 5.9559559559559566e-05, + "loss": 2.3541, + "step": 7025 + }, + { + "epoch": 0.703, + "grad_norm": 0.8112744092941284, + "learning_rate": 5.9459459459459466e-05, + "loss": 2.3609, + "step": 7030 + }, + { + "epoch": 0.7035, + "grad_norm": 0.8749020099639893, + "learning_rate": 5.935935935935936e-05, + "loss": 2.3789, + "step": 7035 + }, + { + "epoch": 0.704, + "grad_norm": 0.8450562357902527, + "learning_rate": 5.925925925925926e-05, + "loss": 2.3759, + "step": 7040 + }, + { + "epoch": 0.7045, + "grad_norm": 0.8273308277130127, + "learning_rate": 5.915915915915916e-05, + "loss": 2.3894, + "step": 7045 + }, + { + "epoch": 0.705, + "grad_norm": 0.8608307838439941, + "learning_rate": 5.905905905905906e-05, + "loss": 2.3819, + "step": 7050 + }, + { + "epoch": 0.7055, + "grad_norm": 0.81144779920578, + "learning_rate": 5.895895895895897e-05, + "loss": 2.3718, + "step": 7055 + }, + { + "epoch": 0.706, + "grad_norm": 0.8147798180580139, + "learning_rate": 5.8858858858858854e-05, + "loss": 2.3731, + "step": 7060 + }, + { + "epoch": 0.7065, + "grad_norm": 0.8627402186393738, + "learning_rate": 5.875875875875876e-05, + "loss": 2.3543, + "step": 7065 + }, + { + "epoch": 0.707, + "grad_norm": 0.7978000044822693, + "learning_rate": 5.865865865865866e-05, + "loss": 2.3806, + "step": 7070 + }, + { + "epoch": 0.7075, + "grad_norm": 0.8095467686653137, + "learning_rate": 5.855855855855856e-05, + "loss": 2.3886, + "step": 7075 + }, + { + "epoch": 0.708, + "grad_norm": 0.7899516820907593, + "learning_rate": 5.845845845845847e-05, + "loss": 2.353, + "step": 7080 + }, + { + "epoch": 0.7085, + "grad_norm": 0.7910207509994507, + "learning_rate": 5.8358358358358354e-05, + "loss": 2.376, + "step": 7085 + }, + { + "epoch": 0.709, + "grad_norm": 0.7842855453491211, + "learning_rate": 5.825825825825826e-05, + "loss": 2.3705, + "step": 7090 + }, + { + "epoch": 0.7095, + "grad_norm": 0.7983612418174744, + "learning_rate": 5.815815815815816e-05, + "loss": 2.3711, + "step": 7095 + }, + { + "epoch": 0.71, + "grad_norm": 0.8135548830032349, + "learning_rate": 5.805805805805806e-05, + "loss": 2.3915, + "step": 7100 + }, + { + "epoch": 0.7105, + "grad_norm": 0.824687659740448, + "learning_rate": 5.795795795795796e-05, + "loss": 2.3634, + "step": 7105 + }, + { + "epoch": 0.711, + "grad_norm": 0.8016681671142578, + "learning_rate": 5.7857857857857855e-05, + "loss": 2.3656, + "step": 7110 + }, + { + "epoch": 0.7115, + "grad_norm": 0.8466838002204895, + "learning_rate": 5.7757757757757755e-05, + "loss": 2.3601, + "step": 7115 + }, + { + "epoch": 0.712, + "grad_norm": 0.8030304908752441, + "learning_rate": 5.765765765765766e-05, + "loss": 2.369, + "step": 7120 + }, + { + "epoch": 0.7125, + "grad_norm": 0.7801939249038696, + "learning_rate": 5.755755755755756e-05, + "loss": 2.3457, + "step": 7125 + }, + { + "epoch": 0.713, + "grad_norm": 0.8262499570846558, + "learning_rate": 5.745745745745746e-05, + "loss": 2.3802, + "step": 7130 + }, + { + "epoch": 0.7135, + "grad_norm": 0.8150855302810669, + "learning_rate": 5.7357357357357356e-05, + "loss": 2.3639, + "step": 7135 + }, + { + "epoch": 0.714, + "grad_norm": 0.8202646970748901, + "learning_rate": 5.7257257257257256e-05, + "loss": 2.3669, + "step": 7140 + }, + { + "epoch": 0.7145, + "grad_norm": 0.8026723265647888, + "learning_rate": 5.715715715715716e-05, + "loss": 2.3811, + "step": 7145 + }, + { + "epoch": 0.715, + "grad_norm": 0.8347824215888977, + "learning_rate": 5.705705705705706e-05, + "loss": 2.4039, + "step": 7150 + }, + { + "epoch": 0.7155, + "grad_norm": 0.8026264309883118, + "learning_rate": 5.695695695695696e-05, + "loss": 2.3531, + "step": 7155 + }, + { + "epoch": 0.716, + "grad_norm": 0.8455007076263428, + "learning_rate": 5.6856856856856856e-05, + "loss": 2.3756, + "step": 7160 + }, + { + "epoch": 0.7165, + "grad_norm": 0.771700918674469, + "learning_rate": 5.6756756756756757e-05, + "loss": 2.3862, + "step": 7165 + }, + { + "epoch": 0.717, + "grad_norm": 0.8043254017829895, + "learning_rate": 5.665665665665666e-05, + "loss": 2.3787, + "step": 7170 + }, + { + "epoch": 0.7175, + "grad_norm": 0.7972248792648315, + "learning_rate": 5.6556556556556564e-05, + "loss": 2.3447, + "step": 7175 + }, + { + "epoch": 0.718, + "grad_norm": 0.8100689053535461, + "learning_rate": 5.6456456456456464e-05, + "loss": 2.3429, + "step": 7180 + }, + { + "epoch": 0.7185, + "grad_norm": 0.8367940187454224, + "learning_rate": 5.635635635635636e-05, + "loss": 2.3852, + "step": 7185 + }, + { + "epoch": 0.719, + "grad_norm": 0.8084604144096375, + "learning_rate": 5.625625625625626e-05, + "loss": 2.3581, + "step": 7190 + }, + { + "epoch": 0.7195, + "grad_norm": 0.8251677751541138, + "learning_rate": 5.615615615615616e-05, + "loss": 2.3576, + "step": 7195 + }, + { + "epoch": 0.72, + "grad_norm": 0.8056468963623047, + "learning_rate": 5.6056056056056064e-05, + "loss": 2.3879, + "step": 7200 + }, + { + "epoch": 0.7205, + "grad_norm": 0.7862322926521301, + "learning_rate": 5.5955955955955964e-05, + "loss": 2.3749, + "step": 7205 + }, + { + "epoch": 0.721, + "grad_norm": 0.8112216591835022, + "learning_rate": 5.585585585585585e-05, + "loss": 2.3583, + "step": 7210 + }, + { + "epoch": 0.7215, + "grad_norm": 0.8866540789604187, + "learning_rate": 5.575575575575576e-05, + "loss": 2.3877, + "step": 7215 + }, + { + "epoch": 0.722, + "grad_norm": 0.8252007365226746, + "learning_rate": 5.565565565565566e-05, + "loss": 2.3675, + "step": 7220 + }, + { + "epoch": 0.7225, + "grad_norm": 0.8246432542800903, + "learning_rate": 5.555555555555556e-05, + "loss": 2.3786, + "step": 7225 + }, + { + "epoch": 0.723, + "grad_norm": 0.843048632144928, + "learning_rate": 5.5455455455455465e-05, + "loss": 2.3612, + "step": 7230 + }, + { + "epoch": 0.7235, + "grad_norm": 0.7862938046455383, + "learning_rate": 5.535535535535535e-05, + "loss": 2.3706, + "step": 7235 + }, + { + "epoch": 0.724, + "grad_norm": 0.8511613607406616, + "learning_rate": 5.525525525525526e-05, + "loss": 2.3774, + "step": 7240 + }, + { + "epoch": 0.7245, + "grad_norm": 0.858098030090332, + "learning_rate": 5.515515515515516e-05, + "loss": 2.3644, + "step": 7245 + }, + { + "epoch": 0.725, + "grad_norm": 0.8149218559265137, + "learning_rate": 5.505505505505506e-05, + "loss": 2.3957, + "step": 7250 + }, + { + "epoch": 0.7255, + "grad_norm": 0.8075857758522034, + "learning_rate": 5.4954954954954966e-05, + "loss": 2.3941, + "step": 7255 + }, + { + "epoch": 0.726, + "grad_norm": 0.9962955117225647, + "learning_rate": 5.485485485485485e-05, + "loss": 2.3687, + "step": 7260 + }, + { + "epoch": 0.7265, + "grad_norm": 0.7864262461662292, + "learning_rate": 5.475475475475475e-05, + "loss": 2.3617, + "step": 7265 + }, + { + "epoch": 0.727, + "grad_norm": 0.8471370339393616, + "learning_rate": 5.465465465465466e-05, + "loss": 2.3765, + "step": 7270 + }, + { + "epoch": 0.7275, + "grad_norm": 0.8417593240737915, + "learning_rate": 5.455455455455456e-05, + "loss": 2.3631, + "step": 7275 + }, + { + "epoch": 0.728, + "grad_norm": 0.8216800689697266, + "learning_rate": 5.445445445445446e-05, + "loss": 2.3934, + "step": 7280 + }, + { + "epoch": 0.7285, + "grad_norm": 0.8299776315689087, + "learning_rate": 5.435435435435435e-05, + "loss": 2.3744, + "step": 7285 + }, + { + "epoch": 0.729, + "grad_norm": 0.9270496964454651, + "learning_rate": 5.425425425425425e-05, + "loss": 2.379, + "step": 7290 + }, + { + "epoch": 0.7295, + "grad_norm": 0.7992855906486511, + "learning_rate": 5.415415415415416e-05, + "loss": 2.3673, + "step": 7295 + }, + { + "epoch": 0.73, + "grad_norm": 0.7973700165748596, + "learning_rate": 5.405405405405406e-05, + "loss": 2.3799, + "step": 7300 + }, + { + "epoch": 0.7305, + "grad_norm": 0.8608441352844238, + "learning_rate": 5.395395395395396e-05, + "loss": 2.3897, + "step": 7305 + }, + { + "epoch": 0.731, + "grad_norm": 0.7959920763969421, + "learning_rate": 5.3853853853853854e-05, + "loss": 2.3771, + "step": 7310 + }, + { + "epoch": 0.7315, + "grad_norm": 0.7734951972961426, + "learning_rate": 5.3753753753753754e-05, + "loss": 2.3836, + "step": 7315 + }, + { + "epoch": 0.732, + "grad_norm": 0.8180063962936401, + "learning_rate": 5.3653653653653654e-05, + "loss": 2.3562, + "step": 7320 + }, + { + "epoch": 0.7325, + "grad_norm": 0.817004382610321, + "learning_rate": 5.355355355355356e-05, + "loss": 2.3608, + "step": 7325 + }, + { + "epoch": 0.733, + "grad_norm": 0.7949969172477722, + "learning_rate": 5.345345345345346e-05, + "loss": 2.3812, + "step": 7330 + }, + { + "epoch": 0.7335, + "grad_norm": 0.8416751027107239, + "learning_rate": 5.3353353353353355e-05, + "loss": 2.3376, + "step": 7335 + }, + { + "epoch": 0.734, + "grad_norm": 0.8331473469734192, + "learning_rate": 5.3253253253253255e-05, + "loss": 2.3837, + "step": 7340 + }, + { + "epoch": 0.7345, + "grad_norm": 0.8140696883201599, + "learning_rate": 5.3153153153153155e-05, + "loss": 2.3737, + "step": 7345 + }, + { + "epoch": 0.735, + "grad_norm": 0.8087270259857178, + "learning_rate": 5.305305305305306e-05, + "loss": 2.3579, + "step": 7350 + }, + { + "epoch": 0.7355, + "grad_norm": 0.8513954877853394, + "learning_rate": 5.295295295295295e-05, + "loss": 2.3682, + "step": 7355 + }, + { + "epoch": 0.736, + "grad_norm": 0.8019487857818604, + "learning_rate": 5.2852852852852855e-05, + "loss": 2.383, + "step": 7360 + }, + { + "epoch": 0.7365, + "grad_norm": 0.8455563187599182, + "learning_rate": 5.2752752752752755e-05, + "loss": 2.3614, + "step": 7365 + }, + { + "epoch": 0.737, + "grad_norm": 0.8061125874519348, + "learning_rate": 5.2652652652652655e-05, + "loss": 2.3715, + "step": 7370 + }, + { + "epoch": 0.7375, + "grad_norm": 0.8147531151771545, + "learning_rate": 5.2552552552552556e-05, + "loss": 2.3663, + "step": 7375 + }, + { + "epoch": 0.738, + "grad_norm": 0.8364109992980957, + "learning_rate": 5.245245245245245e-05, + "loss": 2.3746, + "step": 7380 + }, + { + "epoch": 0.7385, + "grad_norm": 0.8020389080047607, + "learning_rate": 5.235235235235235e-05, + "loss": 2.3357, + "step": 7385 + }, + { + "epoch": 0.739, + "grad_norm": 0.8236432075500488, + "learning_rate": 5.2252252252252256e-05, + "loss": 2.3952, + "step": 7390 + }, + { + "epoch": 0.7395, + "grad_norm": 0.7781680226325989, + "learning_rate": 5.2152152152152156e-05, + "loss": 2.3833, + "step": 7395 + }, + { + "epoch": 0.74, + "grad_norm": 0.7892677187919617, + "learning_rate": 5.2052052052052056e-05, + "loss": 2.3658, + "step": 7400 + }, + { + "epoch": 0.7405, + "grad_norm": 0.808290958404541, + "learning_rate": 5.195195195195195e-05, + "loss": 2.3683, + "step": 7405 + }, + { + "epoch": 0.741, + "grad_norm": 0.7929525971412659, + "learning_rate": 5.185185185185185e-05, + "loss": 2.3563, + "step": 7410 + }, + { + "epoch": 0.7415, + "grad_norm": 0.8070533871650696, + "learning_rate": 5.175175175175176e-05, + "loss": 2.3546, + "step": 7415 + }, + { + "epoch": 0.742, + "grad_norm": 0.8430861234664917, + "learning_rate": 5.165165165165166e-05, + "loss": 2.366, + "step": 7420 + }, + { + "epoch": 0.7425, + "grad_norm": 0.8671832084655762, + "learning_rate": 5.155155155155156e-05, + "loss": 2.3898, + "step": 7425 + }, + { + "epoch": 0.743, + "grad_norm": 0.8964141011238098, + "learning_rate": 5.145145145145145e-05, + "loss": 2.3625, + "step": 7430 + }, + { + "epoch": 0.7435, + "grad_norm": 0.8146119713783264, + "learning_rate": 5.135135135135135e-05, + "loss": 2.3811, + "step": 7435 + }, + { + "epoch": 0.744, + "grad_norm": 0.83391273021698, + "learning_rate": 5.125125125125125e-05, + "loss": 2.3757, + "step": 7440 + }, + { + "epoch": 0.7445, + "grad_norm": 0.7972255945205688, + "learning_rate": 5.115115115115116e-05, + "loss": 2.379, + "step": 7445 + }, + { + "epoch": 0.745, + "grad_norm": 0.7837113738059998, + "learning_rate": 5.105105105105106e-05, + "loss": 2.3716, + "step": 7450 + }, + { + "epoch": 0.7455, + "grad_norm": 0.8616361618041992, + "learning_rate": 5.095095095095095e-05, + "loss": 2.3552, + "step": 7455 + }, + { + "epoch": 0.746, + "grad_norm": 0.8113681077957153, + "learning_rate": 5.085085085085085e-05, + "loss": 2.3789, + "step": 7460 + }, + { + "epoch": 0.7465, + "grad_norm": 0.7940648198127747, + "learning_rate": 5.075075075075075e-05, + "loss": 2.3643, + "step": 7465 + }, + { + "epoch": 0.747, + "grad_norm": 0.8371662497520447, + "learning_rate": 5.065065065065066e-05, + "loss": 2.3637, + "step": 7470 + }, + { + "epoch": 0.7475, + "grad_norm": 0.8097828030586243, + "learning_rate": 5.055055055055056e-05, + "loss": 2.386, + "step": 7475 + }, + { + "epoch": 0.748, + "grad_norm": 0.8285651803016663, + "learning_rate": 5.0450450450450445e-05, + "loss": 2.3578, + "step": 7480 + }, + { + "epoch": 0.7485, + "grad_norm": 0.7992802858352661, + "learning_rate": 5.035035035035035e-05, + "loss": 2.3586, + "step": 7485 + }, + { + "epoch": 0.749, + "grad_norm": 0.8517287969589233, + "learning_rate": 5.025025025025025e-05, + "loss": 2.3644, + "step": 7490 + }, + { + "epoch": 0.7495, + "grad_norm": 0.8603693842887878, + "learning_rate": 5.015015015015015e-05, + "loss": 2.3585, + "step": 7495 + }, + { + "epoch": 0.75, + "grad_norm": 0.837411105632782, + "learning_rate": 5.005005005005006e-05, + "loss": 2.3527, + "step": 7500 + }, + { + "epoch": 0.7505, + "grad_norm": 0.7850192189216614, + "learning_rate": 4.994994994994995e-05, + "loss": 2.3614, + "step": 7505 + }, + { + "epoch": 0.751, + "grad_norm": 0.7993366718292236, + "learning_rate": 4.984984984984985e-05, + "loss": 2.3432, + "step": 7510 + }, + { + "epoch": 0.7515, + "grad_norm": 0.801365315914154, + "learning_rate": 4.974974974974975e-05, + "loss": 2.3446, + "step": 7515 + }, + { + "epoch": 0.752, + "grad_norm": 0.8253291249275208, + "learning_rate": 4.964964964964965e-05, + "loss": 2.3685, + "step": 7520 + }, + { + "epoch": 0.7525, + "grad_norm": 0.8093944787979126, + "learning_rate": 4.954954954954955e-05, + "loss": 2.3598, + "step": 7525 + }, + { + "epoch": 0.753, + "grad_norm": 0.7934316396713257, + "learning_rate": 4.944944944944945e-05, + "loss": 2.369, + "step": 7530 + }, + { + "epoch": 0.7535, + "grad_norm": 0.8154873847961426, + "learning_rate": 4.9349349349349347e-05, + "loss": 2.3792, + "step": 7535 + }, + { + "epoch": 0.754, + "grad_norm": 0.8415142893791199, + "learning_rate": 4.9249249249249253e-05, + "loss": 2.3622, + "step": 7540 + }, + { + "epoch": 0.7545, + "grad_norm": 0.9094659090042114, + "learning_rate": 4.9149149149149154e-05, + "loss": 2.3663, + "step": 7545 + }, + { + "epoch": 0.755, + "grad_norm": 0.8376139998435974, + "learning_rate": 4.9049049049049054e-05, + "loss": 2.3486, + "step": 7550 + }, + { + "epoch": 0.7555, + "grad_norm": 0.7904059290885925, + "learning_rate": 4.8948948948948954e-05, + "loss": 2.3417, + "step": 7555 + }, + { + "epoch": 0.756, + "grad_norm": 0.8456617593765259, + "learning_rate": 4.884884884884885e-05, + "loss": 2.3765, + "step": 7560 + }, + { + "epoch": 0.7565, + "grad_norm": 0.8238437175750732, + "learning_rate": 4.8748748748748754e-05, + "loss": 2.3768, + "step": 7565 + }, + { + "epoch": 0.757, + "grad_norm": 0.8127914667129517, + "learning_rate": 4.8648648648648654e-05, + "loss": 2.3459, + "step": 7570 + }, + { + "epoch": 0.7575, + "grad_norm": 0.879636824131012, + "learning_rate": 4.854854854854855e-05, + "loss": 2.3588, + "step": 7575 + }, + { + "epoch": 0.758, + "grad_norm": 0.8751839399337769, + "learning_rate": 4.8448448448448455e-05, + "loss": 2.3566, + "step": 7580 + }, + { + "epoch": 0.7585, + "grad_norm": 0.80313640832901, + "learning_rate": 4.834834834834835e-05, + "loss": 2.3659, + "step": 7585 + }, + { + "epoch": 0.759, + "grad_norm": 0.8672766089439392, + "learning_rate": 4.824824824824825e-05, + "loss": 2.3713, + "step": 7590 + }, + { + "epoch": 0.7595, + "grad_norm": 0.8659483790397644, + "learning_rate": 4.814814814814815e-05, + "loss": 2.3806, + "step": 7595 + }, + { + "epoch": 0.76, + "grad_norm": 0.816363513469696, + "learning_rate": 4.804804804804805e-05, + "loss": 2.3593, + "step": 7600 + }, + { + "epoch": 0.7605, + "grad_norm": 0.8372772932052612, + "learning_rate": 4.7947947947947955e-05, + "loss": 2.3402, + "step": 7605 + }, + { + "epoch": 0.761, + "grad_norm": 0.841561496257782, + "learning_rate": 4.784784784784785e-05, + "loss": 2.3519, + "step": 7610 + }, + { + "epoch": 0.7615, + "grad_norm": 0.7936203479766846, + "learning_rate": 4.774774774774775e-05, + "loss": 2.3714, + "step": 7615 + }, + { + "epoch": 0.762, + "grad_norm": 0.8175353407859802, + "learning_rate": 4.764764764764765e-05, + "loss": 2.3571, + "step": 7620 + }, + { + "epoch": 0.7625, + "grad_norm": 0.8095380663871765, + "learning_rate": 4.754754754754755e-05, + "loss": 2.3731, + "step": 7625 + }, + { + "epoch": 0.763, + "grad_norm": 0.86039799451828, + "learning_rate": 4.744744744744745e-05, + "loss": 2.3402, + "step": 7630 + }, + { + "epoch": 0.7635, + "grad_norm": 0.7970331311225891, + "learning_rate": 4.734734734734735e-05, + "loss": 2.3562, + "step": 7635 + }, + { + "epoch": 0.764, + "grad_norm": 0.8392342925071716, + "learning_rate": 4.724724724724725e-05, + "loss": 2.3739, + "step": 7640 + }, + { + "epoch": 0.7645, + "grad_norm": 0.8334502577781677, + "learning_rate": 4.714714714714715e-05, + "loss": 2.3464, + "step": 7645 + }, + { + "epoch": 0.765, + "grad_norm": 0.8409643173217773, + "learning_rate": 4.704704704704705e-05, + "loss": 2.4046, + "step": 7650 + }, + { + "epoch": 0.7655, + "grad_norm": 0.8266360759735107, + "learning_rate": 4.694694694694695e-05, + "loss": 2.3713, + "step": 7655 + }, + { + "epoch": 0.766, + "grad_norm": 0.7967942953109741, + "learning_rate": 4.684684684684685e-05, + "loss": 2.3632, + "step": 7660 + }, + { + "epoch": 0.7665, + "grad_norm": 0.8663550019264221, + "learning_rate": 4.674674674674675e-05, + "loss": 2.3539, + "step": 7665 + }, + { + "epoch": 0.767, + "grad_norm": 0.832740068435669, + "learning_rate": 4.6646646646646644e-05, + "loss": 2.3424, + "step": 7670 + }, + { + "epoch": 0.7675, + "grad_norm": 0.85154789686203, + "learning_rate": 4.654654654654655e-05, + "loss": 2.3567, + "step": 7675 + }, + { + "epoch": 0.768, + "grad_norm": 0.8139371871948242, + "learning_rate": 4.644644644644645e-05, + "loss": 2.3845, + "step": 7680 + }, + { + "epoch": 0.7685, + "grad_norm": 0.8819915056228638, + "learning_rate": 4.634634634634635e-05, + "loss": 2.368, + "step": 7685 + }, + { + "epoch": 0.769, + "grad_norm": 0.8150420188903809, + "learning_rate": 4.624624624624625e-05, + "loss": 2.3595, + "step": 7690 + }, + { + "epoch": 0.7695, + "grad_norm": 0.8445594310760498, + "learning_rate": 4.6146146146146144e-05, + "loss": 2.3579, + "step": 7695 + }, + { + "epoch": 0.77, + "grad_norm": 0.8054527044296265, + "learning_rate": 4.604604604604605e-05, + "loss": 2.3534, + "step": 7700 + }, + { + "epoch": 0.7705, + "grad_norm": 0.8040105104446411, + "learning_rate": 4.594594594594595e-05, + "loss": 2.3824, + "step": 7705 + }, + { + "epoch": 0.771, + "grad_norm": 0.8173477053642273, + "learning_rate": 4.5845845845845845e-05, + "loss": 2.358, + "step": 7710 + }, + { + "epoch": 0.7715, + "grad_norm": 0.8278516530990601, + "learning_rate": 4.574574574574575e-05, + "loss": 2.3458, + "step": 7715 + }, + { + "epoch": 0.772, + "grad_norm": 0.8155180811882019, + "learning_rate": 4.5645645645645645e-05, + "loss": 2.3542, + "step": 7720 + }, + { + "epoch": 0.7725, + "grad_norm": 0.811967670917511, + "learning_rate": 4.5545545545545545e-05, + "loss": 2.3689, + "step": 7725 + }, + { + "epoch": 0.773, + "grad_norm": 0.8122997283935547, + "learning_rate": 4.544544544544545e-05, + "loss": 2.3797, + "step": 7730 + }, + { + "epoch": 0.7735, + "grad_norm": 0.8238713145256042, + "learning_rate": 4.5345345345345345e-05, + "loss": 2.3871, + "step": 7735 + }, + { + "epoch": 0.774, + "grad_norm": 0.7975063920021057, + "learning_rate": 4.524524524524525e-05, + "loss": 2.3637, + "step": 7740 + }, + { + "epoch": 0.7745, + "grad_norm": 0.8312461376190186, + "learning_rate": 4.5145145145145146e-05, + "loss": 2.3469, + "step": 7745 + }, + { + "epoch": 0.775, + "grad_norm": 0.8213257193565369, + "learning_rate": 4.5045045045045046e-05, + "loss": 2.3878, + "step": 7750 + }, + { + "epoch": 0.7755, + "grad_norm": 0.8709314465522766, + "learning_rate": 4.4944944944944946e-05, + "loss": 2.3642, + "step": 7755 + }, + { + "epoch": 0.776, + "grad_norm": 0.8140637874603271, + "learning_rate": 4.4844844844844846e-05, + "loss": 2.3533, + "step": 7760 + }, + { + "epoch": 0.7765, + "grad_norm": 0.8330239653587341, + "learning_rate": 4.4744744744744746e-05, + "loss": 2.3647, + "step": 7765 + }, + { + "epoch": 0.777, + "grad_norm": 0.8120850324630737, + "learning_rate": 4.4644644644644646e-05, + "loss": 2.3587, + "step": 7770 + }, + { + "epoch": 0.7775, + "grad_norm": 0.8139227032661438, + "learning_rate": 4.4544544544544546e-05, + "loss": 2.3635, + "step": 7775 + }, + { + "epoch": 0.778, + "grad_norm": 0.8348556160926819, + "learning_rate": 4.4444444444444447e-05, + "loss": 2.3721, + "step": 7780 + }, + { + "epoch": 0.7785, + "grad_norm": 0.8350592851638794, + "learning_rate": 4.434434434434435e-05, + "loss": 2.3801, + "step": 7785 + }, + { + "epoch": 0.779, + "grad_norm": 0.8146738409996033, + "learning_rate": 4.424424424424425e-05, + "loss": 2.3544, + "step": 7790 + }, + { + "epoch": 0.7795, + "grad_norm": 0.82841956615448, + "learning_rate": 4.414414414414415e-05, + "loss": 2.3373, + "step": 7795 + }, + { + "epoch": 0.78, + "grad_norm": 0.8554604649543762, + "learning_rate": 4.404404404404405e-05, + "loss": 2.3614, + "step": 7800 + }, + { + "epoch": 0.7805, + "grad_norm": 0.8313968181610107, + "learning_rate": 4.394394394394394e-05, + "loss": 2.3451, + "step": 7805 + }, + { + "epoch": 0.781, + "grad_norm": 0.8203895688056946, + "learning_rate": 4.384384384384385e-05, + "loss": 2.3601, + "step": 7810 + }, + { + "epoch": 0.7815, + "grad_norm": 0.814744234085083, + "learning_rate": 4.374374374374375e-05, + "loss": 2.3856, + "step": 7815 + }, + { + "epoch": 0.782, + "grad_norm": 0.8176069259643555, + "learning_rate": 4.364364364364365e-05, + "loss": 2.3435, + "step": 7820 + }, + { + "epoch": 0.7825, + "grad_norm": 0.8046497702598572, + "learning_rate": 4.354354354354355e-05, + "loss": 2.3643, + "step": 7825 + }, + { + "epoch": 0.783, + "grad_norm": 0.8219382762908936, + "learning_rate": 4.344344344344344e-05, + "loss": 2.3636, + "step": 7830 + }, + { + "epoch": 0.7835, + "grad_norm": 0.8374064564704895, + "learning_rate": 4.334334334334335e-05, + "loss": 2.3669, + "step": 7835 + }, + { + "epoch": 0.784, + "grad_norm": 0.8313128352165222, + "learning_rate": 4.324324324324325e-05, + "loss": 2.3303, + "step": 7840 + }, + { + "epoch": 0.7845, + "grad_norm": 0.8300835490226746, + "learning_rate": 4.314314314314314e-05, + "loss": 2.3293, + "step": 7845 + }, + { + "epoch": 0.785, + "grad_norm": 0.8263983130455017, + "learning_rate": 4.304304304304305e-05, + "loss": 2.3495, + "step": 7850 + }, + { + "epoch": 0.7855, + "grad_norm": 0.835594654083252, + "learning_rate": 4.294294294294294e-05, + "loss": 2.3481, + "step": 7855 + }, + { + "epoch": 0.786, + "grad_norm": 0.8166428804397583, + "learning_rate": 4.284284284284284e-05, + "loss": 2.3811, + "step": 7860 + }, + { + "epoch": 0.7865, + "grad_norm": 0.8068861961364746, + "learning_rate": 4.274274274274275e-05, + "loss": 2.3759, + "step": 7865 + }, + { + "epoch": 0.787, + "grad_norm": 0.8637300133705139, + "learning_rate": 4.264264264264264e-05, + "loss": 2.3728, + "step": 7870 + }, + { + "epoch": 0.7875, + "grad_norm": 0.8304838538169861, + "learning_rate": 4.254254254254255e-05, + "loss": 2.3558, + "step": 7875 + }, + { + "epoch": 0.788, + "grad_norm": 0.813943088054657, + "learning_rate": 4.244244244244244e-05, + "loss": 2.3273, + "step": 7880 + }, + { + "epoch": 0.7885, + "grad_norm": 0.8327081203460693, + "learning_rate": 4.234234234234234e-05, + "loss": 2.3514, + "step": 7885 + }, + { + "epoch": 0.789, + "grad_norm": 0.8549174070358276, + "learning_rate": 4.224224224224225e-05, + "loss": 2.3849, + "step": 7890 + }, + { + "epoch": 0.7895, + "grad_norm": 0.8003869652748108, + "learning_rate": 4.214214214214214e-05, + "loss": 2.3456, + "step": 7895 + }, + { + "epoch": 0.79, + "grad_norm": 0.8233539462089539, + "learning_rate": 4.204204204204204e-05, + "loss": 2.3488, + "step": 7900 + }, + { + "epoch": 0.7905, + "grad_norm": 0.8078953623771667, + "learning_rate": 4.194194194194194e-05, + "loss": 2.3626, + "step": 7905 + }, + { + "epoch": 0.791, + "grad_norm": 0.8408604264259338, + "learning_rate": 4.1841841841841843e-05, + "loss": 2.3702, + "step": 7910 + }, + { + "epoch": 0.7915, + "grad_norm": 0.8244900703430176, + "learning_rate": 4.1741741741741744e-05, + "loss": 2.3367, + "step": 7915 + }, + { + "epoch": 0.792, + "grad_norm": 0.8229595422744751, + "learning_rate": 4.1641641641641644e-05, + "loss": 2.3475, + "step": 7920 + }, + { + "epoch": 0.7925, + "grad_norm": 0.8468862175941467, + "learning_rate": 4.1541541541541544e-05, + "loss": 2.3716, + "step": 7925 + }, + { + "epoch": 0.793, + "grad_norm": 0.7976715564727783, + "learning_rate": 4.1441441441441444e-05, + "loss": 2.3701, + "step": 7930 + }, + { + "epoch": 0.7935, + "grad_norm": 0.7963828444480896, + "learning_rate": 4.1341341341341344e-05, + "loss": 2.3521, + "step": 7935 + }, + { + "epoch": 0.794, + "grad_norm": 0.8006214499473572, + "learning_rate": 4.124124124124124e-05, + "loss": 2.3594, + "step": 7940 + }, + { + "epoch": 0.7945, + "grad_norm": 0.8206690549850464, + "learning_rate": 4.1141141141141144e-05, + "loss": 2.3498, + "step": 7945 + }, + { + "epoch": 0.795, + "grad_norm": 0.8171199560165405, + "learning_rate": 4.1041041041041045e-05, + "loss": 2.3487, + "step": 7950 + }, + { + "epoch": 0.7955, + "grad_norm": 0.8080857992172241, + "learning_rate": 4.0940940940940945e-05, + "loss": 2.3263, + "step": 7955 + }, + { + "epoch": 0.796, + "grad_norm": 0.8231513500213623, + "learning_rate": 4.0840840840840845e-05, + "loss": 2.3729, + "step": 7960 + }, + { + "epoch": 0.7965, + "grad_norm": 0.8671808242797852, + "learning_rate": 4.074074074074074e-05, + "loss": 2.376, + "step": 7965 + }, + { + "epoch": 0.797, + "grad_norm": 0.790890097618103, + "learning_rate": 4.0640640640640645e-05, + "loss": 2.3345, + "step": 7970 + }, + { + "epoch": 0.7975, + "grad_norm": 0.8026176691055298, + "learning_rate": 4.0540540540540545e-05, + "loss": 2.3578, + "step": 7975 + }, + { + "epoch": 0.798, + "grad_norm": 0.799191415309906, + "learning_rate": 4.044044044044044e-05, + "loss": 2.3585, + "step": 7980 + }, + { + "epoch": 0.7985, + "grad_norm": 0.8245786428451538, + "learning_rate": 4.0340340340340346e-05, + "loss": 2.3535, + "step": 7985 + }, + { + "epoch": 0.799, + "grad_norm": 0.8001775145530701, + "learning_rate": 4.024024024024024e-05, + "loss": 2.3813, + "step": 7990 + }, + { + "epoch": 0.7995, + "grad_norm": 0.8119397163391113, + "learning_rate": 4.014014014014014e-05, + "loss": 2.34, + "step": 7995 + }, + { + "epoch": 0.8, + "grad_norm": 0.8177365660667419, + "learning_rate": 4.0040040040040046e-05, + "loss": 2.3409, + "step": 8000 + }, + { + "epoch": 0.8005, + "grad_norm": 0.8202060461044312, + "learning_rate": 3.993993993993994e-05, + "loss": 2.3438, + "step": 8005 + }, + { + "epoch": 0.801, + "grad_norm": 0.8008648157119751, + "learning_rate": 3.9839839839839846e-05, + "loss": 2.3566, + "step": 8010 + }, + { + "epoch": 0.8015, + "grad_norm": 0.8599295616149902, + "learning_rate": 3.973973973973974e-05, + "loss": 2.3465, + "step": 8015 + }, + { + "epoch": 0.802, + "grad_norm": 0.8756669163703918, + "learning_rate": 3.963963963963964e-05, + "loss": 2.3387, + "step": 8020 + }, + { + "epoch": 0.8025, + "grad_norm": 0.8419957756996155, + "learning_rate": 3.953953953953955e-05, + "loss": 2.3652, + "step": 8025 + }, + { + "epoch": 0.803, + "grad_norm": 0.8807148933410645, + "learning_rate": 3.943943943943944e-05, + "loss": 2.3626, + "step": 8030 + }, + { + "epoch": 0.8035, + "grad_norm": 0.8416363596916199, + "learning_rate": 3.933933933933934e-05, + "loss": 2.3441, + "step": 8035 + }, + { + "epoch": 0.804, + "grad_norm": 0.8050745725631714, + "learning_rate": 3.923923923923924e-05, + "loss": 2.3327, + "step": 8040 + }, + { + "epoch": 0.8045, + "grad_norm": 0.8007880449295044, + "learning_rate": 3.913913913913914e-05, + "loss": 2.3382, + "step": 8045 + }, + { + "epoch": 0.805, + "grad_norm": 0.8622052669525146, + "learning_rate": 3.903903903903904e-05, + "loss": 2.3388, + "step": 8050 + }, + { + "epoch": 0.8055, + "grad_norm": 0.8893733024597168, + "learning_rate": 3.893893893893894e-05, + "loss": 2.3553, + "step": 8055 + }, + { + "epoch": 0.806, + "grad_norm": 0.809303343296051, + "learning_rate": 3.883883883883884e-05, + "loss": 2.3664, + "step": 8060 + }, + { + "epoch": 0.8065, + "grad_norm": 0.8065176010131836, + "learning_rate": 3.873873873873874e-05, + "loss": 2.3279, + "step": 8065 + }, + { + "epoch": 0.807, + "grad_norm": 0.8207269310951233, + "learning_rate": 3.863863863863864e-05, + "loss": 2.3574, + "step": 8070 + }, + { + "epoch": 0.8075, + "grad_norm": 0.8416551351547241, + "learning_rate": 3.8538538538538534e-05, + "loss": 2.3645, + "step": 8075 + }, + { + "epoch": 0.808, + "grad_norm": 0.8307541012763977, + "learning_rate": 3.843843843843844e-05, + "loss": 2.3598, + "step": 8080 + }, + { + "epoch": 0.8085, + "grad_norm": 0.887773871421814, + "learning_rate": 3.833833833833834e-05, + "loss": 2.3657, + "step": 8085 + }, + { + "epoch": 0.809, + "grad_norm": 0.8345415592193604, + "learning_rate": 3.823823823823824e-05, + "loss": 2.3648, + "step": 8090 + }, + { + "epoch": 0.8095, + "grad_norm": 0.8247503638267517, + "learning_rate": 3.813813813813814e-05, + "loss": 2.3438, + "step": 8095 + }, + { + "epoch": 0.81, + "grad_norm": 0.8071210384368896, + "learning_rate": 3.8038038038038035e-05, + "loss": 2.3442, + "step": 8100 + }, + { + "epoch": 0.8105, + "grad_norm": 0.839046835899353, + "learning_rate": 3.793793793793794e-05, + "loss": 2.3448, + "step": 8105 + }, + { + "epoch": 0.811, + "grad_norm": 0.8256351947784424, + "learning_rate": 3.783783783783784e-05, + "loss": 2.3415, + "step": 8110 + }, + { + "epoch": 0.8115, + "grad_norm": 0.8096026182174683, + "learning_rate": 3.7737737737737736e-05, + "loss": 2.3541, + "step": 8115 + }, + { + "epoch": 0.812, + "grad_norm": 0.8799003958702087, + "learning_rate": 3.763763763763764e-05, + "loss": 2.359, + "step": 8120 + }, + { + "epoch": 0.8125, + "grad_norm": 0.8653494119644165, + "learning_rate": 3.7537537537537536e-05, + "loss": 2.3481, + "step": 8125 + }, + { + "epoch": 0.813, + "grad_norm": 0.8147699236869812, + "learning_rate": 3.7437437437437436e-05, + "loss": 2.3438, + "step": 8130 + }, + { + "epoch": 0.8135, + "grad_norm": 0.9093450307846069, + "learning_rate": 3.733733733733734e-05, + "loss": 2.3618, + "step": 8135 + }, + { + "epoch": 0.814, + "grad_norm": 0.8373345136642456, + "learning_rate": 3.7237237237237236e-05, + "loss": 2.3646, + "step": 8140 + }, + { + "epoch": 0.8145, + "grad_norm": 0.7906237840652466, + "learning_rate": 3.713713713713714e-05, + "loss": 2.3572, + "step": 8145 + }, + { + "epoch": 0.815, + "grad_norm": 0.8436282873153687, + "learning_rate": 3.7037037037037037e-05, + "loss": 2.3573, + "step": 8150 + }, + { + "epoch": 0.8155, + "grad_norm": 0.8746330738067627, + "learning_rate": 3.693693693693694e-05, + "loss": 2.3511, + "step": 8155 + }, + { + "epoch": 0.816, + "grad_norm": 0.8541123867034912, + "learning_rate": 3.6836836836836844e-05, + "loss": 2.3531, + "step": 8160 + }, + { + "epoch": 0.8165, + "grad_norm": 0.8279290199279785, + "learning_rate": 3.673673673673674e-05, + "loss": 2.3557, + "step": 8165 + }, + { + "epoch": 0.817, + "grad_norm": 0.8584079146385193, + "learning_rate": 3.663663663663664e-05, + "loss": 2.3309, + "step": 8170 + }, + { + "epoch": 0.8175, + "grad_norm": 0.8298118710517883, + "learning_rate": 3.653653653653654e-05, + "loss": 2.3279, + "step": 8175 + }, + { + "epoch": 0.818, + "grad_norm": 0.8362030386924744, + "learning_rate": 3.643643643643644e-05, + "loss": 2.3485, + "step": 8180 + }, + { + "epoch": 0.8185, + "grad_norm": 0.7963013648986816, + "learning_rate": 3.633633633633634e-05, + "loss": 2.3488, + "step": 8185 + }, + { + "epoch": 0.819, + "grad_norm": 0.8097391724586487, + "learning_rate": 3.623623623623624e-05, + "loss": 2.323, + "step": 8190 + }, + { + "epoch": 0.8195, + "grad_norm": 0.8353894948959351, + "learning_rate": 3.613613613613614e-05, + "loss": 2.3723, + "step": 8195 + }, + { + "epoch": 0.82, + "grad_norm": 0.8266981244087219, + "learning_rate": 3.603603603603604e-05, + "loss": 2.3598, + "step": 8200 + }, + { + "epoch": 0.8205, + "grad_norm": 0.8105880618095398, + "learning_rate": 3.593593593593594e-05, + "loss": 2.3505, + "step": 8205 + }, + { + "epoch": 0.821, + "grad_norm": 0.8008158802986145, + "learning_rate": 3.583583583583583e-05, + "loss": 2.3643, + "step": 8210 + }, + { + "epoch": 0.8215, + "grad_norm": 0.7863180041313171, + "learning_rate": 3.573573573573574e-05, + "loss": 2.3433, + "step": 8215 + }, + { + "epoch": 0.822, + "grad_norm": 0.8484141826629639, + "learning_rate": 3.563563563563564e-05, + "loss": 2.3515, + "step": 8220 + }, + { + "epoch": 0.8225, + "grad_norm": 0.8206436038017273, + "learning_rate": 3.553553553553554e-05, + "loss": 2.351, + "step": 8225 + }, + { + "epoch": 0.823, + "grad_norm": 0.7947841882705688, + "learning_rate": 3.543543543543544e-05, + "loss": 2.3378, + "step": 8230 + }, + { + "epoch": 0.8235, + "grad_norm": 0.8877801299095154, + "learning_rate": 3.533533533533533e-05, + "loss": 2.365, + "step": 8235 + }, + { + "epoch": 0.824, + "grad_norm": 0.8179998397827148, + "learning_rate": 3.523523523523524e-05, + "loss": 2.3607, + "step": 8240 + }, + { + "epoch": 0.8245, + "grad_norm": 0.8523365259170532, + "learning_rate": 3.513513513513514e-05, + "loss": 2.3448, + "step": 8245 + }, + { + "epoch": 0.825, + "grad_norm": 0.8639063835144043, + "learning_rate": 3.503503503503503e-05, + "loss": 2.3713, + "step": 8250 + }, + { + "epoch": 0.8255, + "grad_norm": 0.9359018206596375, + "learning_rate": 3.493493493493494e-05, + "loss": 2.3531, + "step": 8255 + }, + { + "epoch": 0.826, + "grad_norm": 0.8109295964241028, + "learning_rate": 3.483483483483483e-05, + "loss": 2.3528, + "step": 8260 + }, + { + "epoch": 0.8265, + "grad_norm": 0.8261359930038452, + "learning_rate": 3.473473473473473e-05, + "loss": 2.3829, + "step": 8265 + }, + { + "epoch": 0.827, + "grad_norm": 0.8504651784896851, + "learning_rate": 3.463463463463464e-05, + "loss": 2.3537, + "step": 8270 + }, + { + "epoch": 0.8275, + "grad_norm": 0.8876836895942688, + "learning_rate": 3.453453453453453e-05, + "loss": 2.3446, + "step": 8275 + }, + { + "epoch": 0.828, + "grad_norm": 0.8673462867736816, + "learning_rate": 3.443443443443444e-05, + "loss": 2.3826, + "step": 8280 + }, + { + "epoch": 0.8285, + "grad_norm": 0.8119297027587891, + "learning_rate": 3.4334334334334334e-05, + "loss": 2.3621, + "step": 8285 + }, + { + "epoch": 0.829, + "grad_norm": 0.8265256881713867, + "learning_rate": 3.4234234234234234e-05, + "loss": 2.3526, + "step": 8290 + }, + { + "epoch": 0.8295, + "grad_norm": 0.7955986857414246, + "learning_rate": 3.413413413413414e-05, + "loss": 2.3401, + "step": 8295 + }, + { + "epoch": 0.83, + "grad_norm": 0.8546925783157349, + "learning_rate": 3.4034034034034034e-05, + "loss": 2.3677, + "step": 8300 + }, + { + "epoch": 0.8305, + "grad_norm": 0.8466092348098755, + "learning_rate": 3.3933933933933934e-05, + "loss": 2.3298, + "step": 8305 + }, + { + "epoch": 0.831, + "grad_norm": 0.8166059851646423, + "learning_rate": 3.3833833833833834e-05, + "loss": 2.3388, + "step": 8310 + }, + { + "epoch": 0.8315, + "grad_norm": 0.8029240369796753, + "learning_rate": 3.3733733733733734e-05, + "loss": 2.3482, + "step": 8315 + }, + { + "epoch": 0.832, + "grad_norm": 0.8286939263343811, + "learning_rate": 3.3633633633633635e-05, + "loss": 2.3453, + "step": 8320 + }, + { + "epoch": 0.8325, + "grad_norm": 0.8886439204216003, + "learning_rate": 3.3533533533533535e-05, + "loss": 2.3338, + "step": 8325 + }, + { + "epoch": 0.833, + "grad_norm": 0.841537356376648, + "learning_rate": 3.3433433433433435e-05, + "loss": 2.3453, + "step": 8330 + }, + { + "epoch": 0.8335, + "grad_norm": 0.7937127947807312, + "learning_rate": 3.3333333333333335e-05, + "loss": 2.3659, + "step": 8335 + }, + { + "epoch": 0.834, + "grad_norm": 0.8088583946228027, + "learning_rate": 3.3233233233233235e-05, + "loss": 2.343, + "step": 8340 + }, + { + "epoch": 0.8345, + "grad_norm": 0.8171084523200989, + "learning_rate": 3.3133133133133135e-05, + "loss": 2.3551, + "step": 8345 + }, + { + "epoch": 0.835, + "grad_norm": 0.8256644606590271, + "learning_rate": 3.3033033033033035e-05, + "loss": 2.3623, + "step": 8350 + }, + { + "epoch": 0.8355, + "grad_norm": 0.8347882032394409, + "learning_rate": 3.2932932932932935e-05, + "loss": 2.3551, + "step": 8355 + }, + { + "epoch": 0.836, + "grad_norm": 0.818671464920044, + "learning_rate": 3.2832832832832836e-05, + "loss": 2.3321, + "step": 8360 + }, + { + "epoch": 0.8365, + "grad_norm": 0.8162476420402527, + "learning_rate": 3.2732732732732736e-05, + "loss": 2.3582, + "step": 8365 + }, + { + "epoch": 0.837, + "grad_norm": 0.8154727220535278, + "learning_rate": 3.263263263263263e-05, + "loss": 2.3394, + "step": 8370 + }, + { + "epoch": 0.8375, + "grad_norm": 0.8620063662528992, + "learning_rate": 3.2532532532532536e-05, + "loss": 2.321, + "step": 8375 + }, + { + "epoch": 0.838, + "grad_norm": 0.8535669445991516, + "learning_rate": 3.2432432432432436e-05, + "loss": 2.337, + "step": 8380 + }, + { + "epoch": 0.8385, + "grad_norm": 0.8434451222419739, + "learning_rate": 3.233233233233233e-05, + "loss": 2.3599, + "step": 8385 + }, + { + "epoch": 0.839, + "grad_norm": 0.8340520262718201, + "learning_rate": 3.2232232232232236e-05, + "loss": 2.3546, + "step": 8390 + }, + { + "epoch": 0.8395, + "grad_norm": 0.8047171235084534, + "learning_rate": 3.213213213213213e-05, + "loss": 2.3571, + "step": 8395 + }, + { + "epoch": 0.84, + "grad_norm": 0.811255156993866, + "learning_rate": 3.203203203203203e-05, + "loss": 2.3472, + "step": 8400 + }, + { + "epoch": 0.8405, + "grad_norm": 0.8495455980300903, + "learning_rate": 3.193193193193194e-05, + "loss": 2.3573, + "step": 8405 + }, + { + "epoch": 0.841, + "grad_norm": 0.8299034237861633, + "learning_rate": 3.183183183183183e-05, + "loss": 2.318, + "step": 8410 + }, + { + "epoch": 0.8415, + "grad_norm": 0.8490227460861206, + "learning_rate": 3.173173173173174e-05, + "loss": 2.35, + "step": 8415 + }, + { + "epoch": 0.842, + "grad_norm": 0.8307939171791077, + "learning_rate": 3.163163163163163e-05, + "loss": 2.32, + "step": 8420 + }, + { + "epoch": 0.8425, + "grad_norm": 0.8129630088806152, + "learning_rate": 3.153153153153153e-05, + "loss": 2.3439, + "step": 8425 + }, + { + "epoch": 0.843, + "grad_norm": 0.8450644016265869, + "learning_rate": 3.143143143143144e-05, + "loss": 2.3265, + "step": 8430 + }, + { + "epoch": 0.8435, + "grad_norm": 0.8025068640708923, + "learning_rate": 3.133133133133133e-05, + "loss": 2.3517, + "step": 8435 + }, + { + "epoch": 0.844, + "grad_norm": 0.8366633653640747, + "learning_rate": 3.123123123123123e-05, + "loss": 2.3484, + "step": 8440 + }, + { + "epoch": 0.8445, + "grad_norm": 0.8080820441246033, + "learning_rate": 3.113113113113113e-05, + "loss": 2.3557, + "step": 8445 + }, + { + "epoch": 0.845, + "grad_norm": 0.8732795715332031, + "learning_rate": 3.103103103103103e-05, + "loss": 2.3648, + "step": 8450 + }, + { + "epoch": 0.8455, + "grad_norm": 0.8327799439430237, + "learning_rate": 3.093093093093093e-05, + "loss": 2.3396, + "step": 8455 + }, + { + "epoch": 0.846, + "grad_norm": 0.7959544062614441, + "learning_rate": 3.083083083083083e-05, + "loss": 2.337, + "step": 8460 + }, + { + "epoch": 0.8465, + "grad_norm": 0.8220170140266418, + "learning_rate": 3.073073073073073e-05, + "loss": 2.3477, + "step": 8465 + }, + { + "epoch": 0.847, + "grad_norm": 0.8160591721534729, + "learning_rate": 3.063063063063063e-05, + "loss": 2.3486, + "step": 8470 + }, + { + "epoch": 0.8475, + "grad_norm": 0.8442284464836121, + "learning_rate": 3.053053053053053e-05, + "loss": 2.342, + "step": 8475 + }, + { + "epoch": 0.848, + "grad_norm": 0.8980335593223572, + "learning_rate": 3.0430430430430436e-05, + "loss": 2.3571, + "step": 8480 + }, + { + "epoch": 0.8485, + "grad_norm": 0.8186134696006775, + "learning_rate": 3.0330330330330332e-05, + "loss": 2.3426, + "step": 8485 + }, + { + "epoch": 0.849, + "grad_norm": 0.8173196315765381, + "learning_rate": 3.0230230230230232e-05, + "loss": 2.3667, + "step": 8490 + }, + { + "epoch": 0.8495, + "grad_norm": 0.8508972525596619, + "learning_rate": 3.013013013013013e-05, + "loss": 2.3738, + "step": 8495 + }, + { + "epoch": 0.85, + "grad_norm": 0.830033004283905, + "learning_rate": 3.0030030030030033e-05, + "loss": 2.3554, + "step": 8500 + }, + { + "epoch": 0.8505, + "grad_norm": 0.8232085704803467, + "learning_rate": 2.9929929929929933e-05, + "loss": 2.3392, + "step": 8505 + }, + { + "epoch": 0.851, + "grad_norm": 0.8099601864814758, + "learning_rate": 2.982982982982983e-05, + "loss": 2.3517, + "step": 8510 + }, + { + "epoch": 0.8515, + "grad_norm": 0.8356584310531616, + "learning_rate": 2.9729729729729733e-05, + "loss": 2.3664, + "step": 8515 + }, + { + "epoch": 0.852, + "grad_norm": 0.8594179153442383, + "learning_rate": 2.962962962962963e-05, + "loss": 2.3585, + "step": 8520 + }, + { + "epoch": 0.8525, + "grad_norm": 0.8841564059257507, + "learning_rate": 2.952952952952953e-05, + "loss": 2.3322, + "step": 8525 + }, + { + "epoch": 0.853, + "grad_norm": 0.825693666934967, + "learning_rate": 2.9429429429429427e-05, + "loss": 2.3583, + "step": 8530 + }, + { + "epoch": 0.8535, + "grad_norm": 0.8264659643173218, + "learning_rate": 2.932932932932933e-05, + "loss": 2.3435, + "step": 8535 + }, + { + "epoch": 0.854, + "grad_norm": 0.8185012936592102, + "learning_rate": 2.9229229229229234e-05, + "loss": 2.3569, + "step": 8540 + }, + { + "epoch": 0.8545, + "grad_norm": 0.8264207243919373, + "learning_rate": 2.912912912912913e-05, + "loss": 2.36, + "step": 8545 + }, + { + "epoch": 0.855, + "grad_norm": 0.8175407648086548, + "learning_rate": 2.902902902902903e-05, + "loss": 2.3549, + "step": 8550 + }, + { + "epoch": 0.8555, + "grad_norm": 0.8118422031402588, + "learning_rate": 2.8928928928928928e-05, + "loss": 2.3345, + "step": 8555 + }, + { + "epoch": 0.856, + "grad_norm": 0.8219888210296631, + "learning_rate": 2.882882882882883e-05, + "loss": 2.3319, + "step": 8560 + }, + { + "epoch": 0.8565, + "grad_norm": 0.868126392364502, + "learning_rate": 2.872872872872873e-05, + "loss": 2.3567, + "step": 8565 + }, + { + "epoch": 0.857, + "grad_norm": 0.8113792538642883, + "learning_rate": 2.8628628628628628e-05, + "loss": 2.3326, + "step": 8570 + }, + { + "epoch": 0.8575, + "grad_norm": 0.8458234667778015, + "learning_rate": 2.852852852852853e-05, + "loss": 2.3452, + "step": 8575 + }, + { + "epoch": 0.858, + "grad_norm": 0.8528864979743958, + "learning_rate": 2.8428428428428428e-05, + "loss": 2.3343, + "step": 8580 + }, + { + "epoch": 0.8585, + "grad_norm": 0.8229609131813049, + "learning_rate": 2.832832832832833e-05, + "loss": 2.3349, + "step": 8585 + }, + { + "epoch": 0.859, + "grad_norm": 0.8314008712768555, + "learning_rate": 2.8228228228228232e-05, + "loss": 2.3489, + "step": 8590 + }, + { + "epoch": 0.8595, + "grad_norm": 0.8441357016563416, + "learning_rate": 2.812812812812813e-05, + "loss": 2.3424, + "step": 8595 + }, + { + "epoch": 0.86, + "grad_norm": 0.811282753944397, + "learning_rate": 2.8028028028028032e-05, + "loss": 2.3385, + "step": 8600 + }, + { + "epoch": 0.8605, + "grad_norm": 0.8737632036209106, + "learning_rate": 2.7927927927927926e-05, + "loss": 2.3374, + "step": 8605 + }, + { + "epoch": 0.861, + "grad_norm": 0.8345777988433838, + "learning_rate": 2.782782782782783e-05, + "loss": 2.3392, + "step": 8610 + }, + { + "epoch": 0.8615, + "grad_norm": 0.8158997297286987, + "learning_rate": 2.7727727727727733e-05, + "loss": 2.33, + "step": 8615 + }, + { + "epoch": 0.862, + "grad_norm": 0.8565182685852051, + "learning_rate": 2.762762762762763e-05, + "loss": 2.3582, + "step": 8620 + }, + { + "epoch": 0.8625, + "grad_norm": 0.8362213373184204, + "learning_rate": 2.752752752752753e-05, + "loss": 2.3434, + "step": 8625 + }, + { + "epoch": 0.863, + "grad_norm": 0.8124709725379944, + "learning_rate": 2.7427427427427426e-05, + "loss": 2.3546, + "step": 8630 + }, + { + "epoch": 0.8635, + "grad_norm": 0.8765237927436829, + "learning_rate": 2.732732732732733e-05, + "loss": 2.3503, + "step": 8635 + }, + { + "epoch": 0.864, + "grad_norm": 0.8562377095222473, + "learning_rate": 2.722722722722723e-05, + "loss": 2.3635, + "step": 8640 + }, + { + "epoch": 0.8645, + "grad_norm": 0.862598180770874, + "learning_rate": 2.7127127127127127e-05, + "loss": 2.3507, + "step": 8645 + }, + { + "epoch": 0.865, + "grad_norm": 0.8522788286209106, + "learning_rate": 2.702702702702703e-05, + "loss": 2.3443, + "step": 8650 + }, + { + "epoch": 0.8655, + "grad_norm": 0.8473895192146301, + "learning_rate": 2.6926926926926927e-05, + "loss": 2.3399, + "step": 8655 + }, + { + "epoch": 0.866, + "grad_norm": 0.8129273056983948, + "learning_rate": 2.6826826826826827e-05, + "loss": 2.3579, + "step": 8660 + }, + { + "epoch": 0.8665, + "grad_norm": 0.8594850897789001, + "learning_rate": 2.672672672672673e-05, + "loss": 2.3539, + "step": 8665 + }, + { + "epoch": 0.867, + "grad_norm": 0.831794798374176, + "learning_rate": 2.6626626626626627e-05, + "loss": 2.3342, + "step": 8670 + }, + { + "epoch": 0.8675, + "grad_norm": 0.8447133302688599, + "learning_rate": 2.652652652652653e-05, + "loss": 2.3403, + "step": 8675 + }, + { + "epoch": 0.868, + "grad_norm": 0.8298300504684448, + "learning_rate": 2.6426426426426428e-05, + "loss": 2.3362, + "step": 8680 + }, + { + "epoch": 0.8685, + "grad_norm": 0.8596557974815369, + "learning_rate": 2.6326326326326328e-05, + "loss": 2.3545, + "step": 8685 + }, + { + "epoch": 0.869, + "grad_norm": 0.8677126169204712, + "learning_rate": 2.6226226226226224e-05, + "loss": 2.3624, + "step": 8690 + }, + { + "epoch": 0.8695, + "grad_norm": 0.8112132549285889, + "learning_rate": 2.6126126126126128e-05, + "loss": 2.3345, + "step": 8695 + }, + { + "epoch": 0.87, + "grad_norm": 0.87315833568573, + "learning_rate": 2.6026026026026028e-05, + "loss": 2.3319, + "step": 8700 + }, + { + "epoch": 0.8705, + "grad_norm": 0.864588737487793, + "learning_rate": 2.5925925925925925e-05, + "loss": 2.3356, + "step": 8705 + }, + { + "epoch": 0.871, + "grad_norm": 0.8347481489181519, + "learning_rate": 2.582582582582583e-05, + "loss": 2.32, + "step": 8710 + }, + { + "epoch": 0.8715, + "grad_norm": 0.8150578141212463, + "learning_rate": 2.5725725725725725e-05, + "loss": 2.3403, + "step": 8715 + }, + { + "epoch": 0.872, + "grad_norm": 0.8222635388374329, + "learning_rate": 2.5625625625625625e-05, + "loss": 2.3328, + "step": 8720 + }, + { + "epoch": 0.8725, + "grad_norm": 0.8109158277511597, + "learning_rate": 2.552552552552553e-05, + "loss": 2.3558, + "step": 8725 + }, + { + "epoch": 0.873, + "grad_norm": 0.8342311382293701, + "learning_rate": 2.5425425425425426e-05, + "loss": 2.337, + "step": 8730 + }, + { + "epoch": 0.8735, + "grad_norm": 0.8757238388061523, + "learning_rate": 2.532532532532533e-05, + "loss": 2.3525, + "step": 8735 + }, + { + "epoch": 0.874, + "grad_norm": 0.822337806224823, + "learning_rate": 2.5225225225225222e-05, + "loss": 2.3324, + "step": 8740 + }, + { + "epoch": 0.8745, + "grad_norm": 0.7943927645683289, + "learning_rate": 2.5125125125125126e-05, + "loss": 2.3521, + "step": 8745 + }, + { + "epoch": 0.875, + "grad_norm": 0.8191083073616028, + "learning_rate": 2.502502502502503e-05, + "loss": 2.3585, + "step": 8750 + }, + { + "epoch": 0.8755, + "grad_norm": 0.8550540208816528, + "learning_rate": 2.4924924924924926e-05, + "loss": 2.3426, + "step": 8755 + }, + { + "epoch": 0.876, + "grad_norm": 0.8050912618637085, + "learning_rate": 2.4824824824824826e-05, + "loss": 2.3643, + "step": 8760 + }, + { + "epoch": 0.8765, + "grad_norm": 0.8559862971305847, + "learning_rate": 2.4724724724724727e-05, + "loss": 2.3606, + "step": 8765 + }, + { + "epoch": 0.877, + "grad_norm": 0.8613905310630798, + "learning_rate": 2.4624624624624627e-05, + "loss": 2.3494, + "step": 8770 + }, + { + "epoch": 0.8775, + "grad_norm": 0.8286505937576294, + "learning_rate": 2.4524524524524527e-05, + "loss": 2.3506, + "step": 8775 + }, + { + "epoch": 0.878, + "grad_norm": 0.8565585613250732, + "learning_rate": 2.4424424424424424e-05, + "loss": 2.3414, + "step": 8780 + }, + { + "epoch": 0.8785, + "grad_norm": 0.8649365305900574, + "learning_rate": 2.4324324324324327e-05, + "loss": 2.3748, + "step": 8785 + }, + { + "epoch": 0.879, + "grad_norm": 0.8483036756515503, + "learning_rate": 2.4224224224224227e-05, + "loss": 2.3398, + "step": 8790 + }, + { + "epoch": 0.8795, + "grad_norm": 0.7956961989402771, + "learning_rate": 2.4124124124124124e-05, + "loss": 2.3343, + "step": 8795 + }, + { + "epoch": 0.88, + "grad_norm": 0.841417670249939, + "learning_rate": 2.4024024024024024e-05, + "loss": 2.3344, + "step": 8800 + }, + { + "epoch": 0.8805, + "grad_norm": 0.8638480305671692, + "learning_rate": 2.3923923923923924e-05, + "loss": 2.3522, + "step": 8805 + }, + { + "epoch": 0.881, + "grad_norm": 0.8249894380569458, + "learning_rate": 2.3823823823823824e-05, + "loss": 2.3368, + "step": 8810 + }, + { + "epoch": 0.8815, + "grad_norm": 0.8154436945915222, + "learning_rate": 2.3723723723723725e-05, + "loss": 2.3265, + "step": 8815 + }, + { + "epoch": 0.882, + "grad_norm": 0.8674147725105286, + "learning_rate": 2.3623623623623625e-05, + "loss": 2.3581, + "step": 8820 + }, + { + "epoch": 0.8825, + "grad_norm": 0.8114337921142578, + "learning_rate": 2.3523523523523525e-05, + "loss": 2.3431, + "step": 8825 + }, + { + "epoch": 0.883, + "grad_norm": 0.8255671262741089, + "learning_rate": 2.3423423423423425e-05, + "loss": 2.3427, + "step": 8830 + }, + { + "epoch": 0.8835, + "grad_norm": 0.8699901700019836, + "learning_rate": 2.3323323323323322e-05, + "loss": 2.342, + "step": 8835 + }, + { + "epoch": 0.884, + "grad_norm": 0.8162307143211365, + "learning_rate": 2.3223223223223225e-05, + "loss": 2.3453, + "step": 8840 + }, + { + "epoch": 0.8845, + "grad_norm": 0.8098514676094055, + "learning_rate": 2.3123123123123125e-05, + "loss": 2.3313, + "step": 8845 + }, + { + "epoch": 0.885, + "grad_norm": 0.8761820793151855, + "learning_rate": 2.3023023023023026e-05, + "loss": 2.367, + "step": 8850 + }, + { + "epoch": 0.8855, + "grad_norm": 0.8436310887336731, + "learning_rate": 2.2922922922922922e-05, + "loss": 2.3561, + "step": 8855 + }, + { + "epoch": 0.886, + "grad_norm": 0.8526544570922852, + "learning_rate": 2.2822822822822822e-05, + "loss": 2.3259, + "step": 8860 + }, + { + "epoch": 0.8865, + "grad_norm": 0.8305936455726624, + "learning_rate": 2.2722722722722726e-05, + "loss": 2.3373, + "step": 8865 + }, + { + "epoch": 0.887, + "grad_norm": 0.9209138751029968, + "learning_rate": 2.2622622622622626e-05, + "loss": 2.3439, + "step": 8870 + }, + { + "epoch": 0.8875, + "grad_norm": 0.8664165735244751, + "learning_rate": 2.2522522522522523e-05, + "loss": 2.3355, + "step": 8875 + }, + { + "epoch": 0.888, + "grad_norm": 0.8305662870407104, + "learning_rate": 2.2422422422422423e-05, + "loss": 2.3497, + "step": 8880 + }, + { + "epoch": 0.8885, + "grad_norm": 0.8392084836959839, + "learning_rate": 2.2322322322322323e-05, + "loss": 2.3306, + "step": 8885 + }, + { + "epoch": 0.889, + "grad_norm": 0.8184075355529785, + "learning_rate": 2.2222222222222223e-05, + "loss": 2.3534, + "step": 8890 + }, + { + "epoch": 0.8895, + "grad_norm": 0.8275293111801147, + "learning_rate": 2.2122122122122123e-05, + "loss": 2.345, + "step": 8895 + }, + { + "epoch": 0.89, + "grad_norm": 0.8183415532112122, + "learning_rate": 2.2022022022022024e-05, + "loss": 2.3524, + "step": 8900 + }, + { + "epoch": 0.8905, + "grad_norm": 0.8345757126808167, + "learning_rate": 2.1921921921921924e-05, + "loss": 2.3222, + "step": 8905 + }, + { + "epoch": 0.891, + "grad_norm": 0.8104347586631775, + "learning_rate": 2.1821821821821824e-05, + "loss": 2.3391, + "step": 8910 + }, + { + "epoch": 0.8915, + "grad_norm": 0.81838458776474, + "learning_rate": 2.172172172172172e-05, + "loss": 2.365, + "step": 8915 + }, + { + "epoch": 0.892, + "grad_norm": 0.8337346911430359, + "learning_rate": 2.1621621621621624e-05, + "loss": 2.3428, + "step": 8920 + }, + { + "epoch": 0.8925, + "grad_norm": 0.8469566702842712, + "learning_rate": 2.1521521521521524e-05, + "loss": 2.3555, + "step": 8925 + }, + { + "epoch": 0.893, + "grad_norm": 0.8030543923377991, + "learning_rate": 2.142142142142142e-05, + "loss": 2.3126, + "step": 8930 + }, + { + "epoch": 0.8935, + "grad_norm": 0.837141752243042, + "learning_rate": 2.132132132132132e-05, + "loss": 2.319, + "step": 8935 + }, + { + "epoch": 0.894, + "grad_norm": 0.8511247634887695, + "learning_rate": 2.122122122122122e-05, + "loss": 2.3407, + "step": 8940 + }, + { + "epoch": 0.8945, + "grad_norm": 0.8452726006507874, + "learning_rate": 2.1121121121121125e-05, + "loss": 2.3483, + "step": 8945 + }, + { + "epoch": 0.895, + "grad_norm": 0.8432291746139526, + "learning_rate": 2.102102102102102e-05, + "loss": 2.3493, + "step": 8950 + }, + { + "epoch": 0.8955, + "grad_norm": 0.8280351161956787, + "learning_rate": 2.0920920920920922e-05, + "loss": 2.3346, + "step": 8955 + }, + { + "epoch": 0.896, + "grad_norm": 0.8203386664390564, + "learning_rate": 2.0820820820820822e-05, + "loss": 2.3467, + "step": 8960 + }, + { + "epoch": 0.8965, + "grad_norm": 0.8204079270362854, + "learning_rate": 2.0720720720720722e-05, + "loss": 2.356, + "step": 8965 + }, + { + "epoch": 0.897, + "grad_norm": 0.813487708568573, + "learning_rate": 2.062062062062062e-05, + "loss": 2.3215, + "step": 8970 + }, + { + "epoch": 0.8975, + "grad_norm": 0.8271229863166809, + "learning_rate": 2.0520520520520522e-05, + "loss": 2.3555, + "step": 8975 + }, + { + "epoch": 0.898, + "grad_norm": 0.8487913608551025, + "learning_rate": 2.0420420420420422e-05, + "loss": 2.3359, + "step": 8980 + }, + { + "epoch": 0.8985, + "grad_norm": 0.836768627166748, + "learning_rate": 2.0320320320320323e-05, + "loss": 2.3498, + "step": 8985 + }, + { + "epoch": 0.899, + "grad_norm": 0.8347607254981995, + "learning_rate": 2.022022022022022e-05, + "loss": 2.317, + "step": 8990 + }, + { + "epoch": 0.8995, + "grad_norm": 0.8265148401260376, + "learning_rate": 2.012012012012012e-05, + "loss": 2.3063, + "step": 8995 + }, + { + "epoch": 0.9, + "grad_norm": 0.8346414566040039, + "learning_rate": 2.0020020020020023e-05, + "loss": 2.3368, + "step": 9000 + }, + { + "epoch": 0.9005, + "grad_norm": 0.8407677412033081, + "learning_rate": 1.9919919919919923e-05, + "loss": 2.3595, + "step": 9005 + }, + { + "epoch": 0.901, + "grad_norm": 0.8652437925338745, + "learning_rate": 1.981981981981982e-05, + "loss": 2.3462, + "step": 9010 + }, + { + "epoch": 0.9015, + "grad_norm": 0.851755678653717, + "learning_rate": 1.971971971971972e-05, + "loss": 2.343, + "step": 9015 + }, + { + "epoch": 0.902, + "grad_norm": 0.844289243221283, + "learning_rate": 1.961961961961962e-05, + "loss": 2.3494, + "step": 9020 + }, + { + "epoch": 0.9025, + "grad_norm": 0.8320977687835693, + "learning_rate": 1.951951951951952e-05, + "loss": 2.3311, + "step": 9025 + }, + { + "epoch": 0.903, + "grad_norm": 0.8191105127334595, + "learning_rate": 1.941941941941942e-05, + "loss": 2.3323, + "step": 9030 + }, + { + "epoch": 0.9035, + "grad_norm": 0.8393972516059875, + "learning_rate": 1.931931931931932e-05, + "loss": 2.3409, + "step": 9035 + }, + { + "epoch": 0.904, + "grad_norm": 0.8605306148529053, + "learning_rate": 1.921921921921922e-05, + "loss": 2.3294, + "step": 9040 + }, + { + "epoch": 0.9045, + "grad_norm": 0.8271490335464478, + "learning_rate": 1.911911911911912e-05, + "loss": 2.3292, + "step": 9045 + }, + { + "epoch": 0.905, + "grad_norm": 0.8311194777488708, + "learning_rate": 1.9019019019019018e-05, + "loss": 2.3573, + "step": 9050 + }, + { + "epoch": 0.9055, + "grad_norm": 0.8212003111839294, + "learning_rate": 1.891891891891892e-05, + "loss": 2.3319, + "step": 9055 + }, + { + "epoch": 0.906, + "grad_norm": 0.8189734816551208, + "learning_rate": 1.881881881881882e-05, + "loss": 2.3408, + "step": 9060 + }, + { + "epoch": 0.9065, + "grad_norm": 0.8122197389602661, + "learning_rate": 1.8718718718718718e-05, + "loss": 2.3191, + "step": 9065 + }, + { + "epoch": 0.907, + "grad_norm": 0.8065931797027588, + "learning_rate": 1.8618618618618618e-05, + "loss": 2.3578, + "step": 9070 + }, + { + "epoch": 0.9075, + "grad_norm": 0.8327513337135315, + "learning_rate": 1.8518518518518518e-05, + "loss": 2.3714, + "step": 9075 + }, + { + "epoch": 0.908, + "grad_norm": 0.9134345650672913, + "learning_rate": 1.8418418418418422e-05, + "loss": 2.3476, + "step": 9080 + }, + { + "epoch": 0.9085, + "grad_norm": 0.8555792570114136, + "learning_rate": 1.831831831831832e-05, + "loss": 2.3617, + "step": 9085 + }, + { + "epoch": 0.909, + "grad_norm": 0.839600682258606, + "learning_rate": 1.821821821821822e-05, + "loss": 2.3562, + "step": 9090 + }, + { + "epoch": 0.9095, + "grad_norm": 0.8846326470375061, + "learning_rate": 1.811811811811812e-05, + "loss": 2.3693, + "step": 9095 + }, + { + "epoch": 0.91, + "grad_norm": 0.8199856281280518, + "learning_rate": 1.801801801801802e-05, + "loss": 2.3427, + "step": 9100 + }, + { + "epoch": 0.9105, + "grad_norm": 0.8347171545028687, + "learning_rate": 1.7917917917917916e-05, + "loss": 2.3227, + "step": 9105 + }, + { + "epoch": 0.911, + "grad_norm": 0.8130427002906799, + "learning_rate": 1.781781781781782e-05, + "loss": 2.3661, + "step": 9110 + }, + { + "epoch": 0.9115, + "grad_norm": 0.8870020508766174, + "learning_rate": 1.771771771771772e-05, + "loss": 2.3422, + "step": 9115 + }, + { + "epoch": 0.912, + "grad_norm": 0.8388358354568481, + "learning_rate": 1.761761761761762e-05, + "loss": 2.3496, + "step": 9120 + }, + { + "epoch": 0.9125, + "grad_norm": 0.8320288062095642, + "learning_rate": 1.7517517517517516e-05, + "loss": 2.347, + "step": 9125 + }, + { + "epoch": 0.913, + "grad_norm": 0.8106929659843445, + "learning_rate": 1.7417417417417416e-05, + "loss": 2.3521, + "step": 9130 + }, + { + "epoch": 0.9135, + "grad_norm": 0.8142067790031433, + "learning_rate": 1.731731731731732e-05, + "loss": 2.3487, + "step": 9135 + }, + { + "epoch": 0.914, + "grad_norm": 0.8240883350372314, + "learning_rate": 1.721721721721722e-05, + "loss": 2.3328, + "step": 9140 + }, + { + "epoch": 0.9145, + "grad_norm": 0.8195868730545044, + "learning_rate": 1.7117117117117117e-05, + "loss": 2.3483, + "step": 9145 + }, + { + "epoch": 0.915, + "grad_norm": 0.847511887550354, + "learning_rate": 1.7017017017017017e-05, + "loss": 2.3457, + "step": 9150 + }, + { + "epoch": 0.9155, + "grad_norm": 0.8567244410514832, + "learning_rate": 1.6916916916916917e-05, + "loss": 2.3464, + "step": 9155 + }, + { + "epoch": 0.916, + "grad_norm": 0.8341563940048218, + "learning_rate": 1.6816816816816817e-05, + "loss": 2.3438, + "step": 9160 + }, + { + "epoch": 0.9165, + "grad_norm": 0.8154423236846924, + "learning_rate": 1.6716716716716717e-05, + "loss": 2.348, + "step": 9165 + }, + { + "epoch": 0.917, + "grad_norm": 0.7971596717834473, + "learning_rate": 1.6616616616616618e-05, + "loss": 2.3397, + "step": 9170 + }, + { + "epoch": 0.9175, + "grad_norm": 0.8392190337181091, + "learning_rate": 1.6516516516516518e-05, + "loss": 2.3508, + "step": 9175 + }, + { + "epoch": 0.918, + "grad_norm": 0.8365655541419983, + "learning_rate": 1.6416416416416418e-05, + "loss": 2.352, + "step": 9180 + }, + { + "epoch": 0.9185, + "grad_norm": 0.8264891505241394, + "learning_rate": 1.6316316316316315e-05, + "loss": 2.3542, + "step": 9185 + }, + { + "epoch": 0.919, + "grad_norm": 0.810056746006012, + "learning_rate": 1.6216216216216218e-05, + "loss": 2.2953, + "step": 9190 + }, + { + "epoch": 0.9195, + "grad_norm": 0.850010097026825, + "learning_rate": 1.6116116116116118e-05, + "loss": 2.3608, + "step": 9195 + }, + { + "epoch": 0.92, + "grad_norm": 0.8388724327087402, + "learning_rate": 1.6016016016016015e-05, + "loss": 2.3332, + "step": 9200 + }, + { + "epoch": 0.9205, + "grad_norm": 0.814441442489624, + "learning_rate": 1.5915915915915915e-05, + "loss": 2.3209, + "step": 9205 + }, + { + "epoch": 0.921, + "grad_norm": 0.8317567706108093, + "learning_rate": 1.5815815815815815e-05, + "loss": 2.367, + "step": 9210 + }, + { + "epoch": 0.9215, + "grad_norm": 0.806183934211731, + "learning_rate": 1.571571571571572e-05, + "loss": 2.3551, + "step": 9215 + }, + { + "epoch": 0.922, + "grad_norm": 0.7914506793022156, + "learning_rate": 1.5615615615615616e-05, + "loss": 2.3316, + "step": 9220 + }, + { + "epoch": 0.9225, + "grad_norm": 0.8459283709526062, + "learning_rate": 1.5515515515515516e-05, + "loss": 2.348, + "step": 9225 + }, + { + "epoch": 0.923, + "grad_norm": 0.8252323269844055, + "learning_rate": 1.5415415415415416e-05, + "loss": 2.3233, + "step": 9230 + }, + { + "epoch": 0.9235, + "grad_norm": 0.8866086006164551, + "learning_rate": 1.5315315315315316e-05, + "loss": 2.3458, + "step": 9235 + }, + { + "epoch": 0.924, + "grad_norm": 0.8268254399299622, + "learning_rate": 1.5215215215215218e-05, + "loss": 2.3363, + "step": 9240 + }, + { + "epoch": 0.9245, + "grad_norm": 0.8354853391647339, + "learning_rate": 1.5115115115115116e-05, + "loss": 2.3398, + "step": 9245 + }, + { + "epoch": 0.925, + "grad_norm": 0.851127028465271, + "learning_rate": 1.5015015015015016e-05, + "loss": 2.3592, + "step": 9250 + }, + { + "epoch": 0.9255, + "grad_norm": 0.8615062236785889, + "learning_rate": 1.4914914914914915e-05, + "loss": 2.3281, + "step": 9255 + }, + { + "epoch": 0.926, + "grad_norm": 0.8572158813476562, + "learning_rate": 1.4814814814814815e-05, + "loss": 2.3355, + "step": 9260 + }, + { + "epoch": 0.9265, + "grad_norm": 0.8364690542221069, + "learning_rate": 1.4714714714714713e-05, + "loss": 2.3378, + "step": 9265 + }, + { + "epoch": 0.927, + "grad_norm": 0.8171463012695312, + "learning_rate": 1.4614614614614617e-05, + "loss": 2.3292, + "step": 9270 + }, + { + "epoch": 0.9275, + "grad_norm": 0.8491124510765076, + "learning_rate": 1.4514514514514515e-05, + "loss": 2.3279, + "step": 9275 + }, + { + "epoch": 0.928, + "grad_norm": 0.9891765117645264, + "learning_rate": 1.4414414414414416e-05, + "loss": 2.361, + "step": 9280 + }, + { + "epoch": 0.9285, + "grad_norm": 0.8450509905815125, + "learning_rate": 1.4314314314314314e-05, + "loss": 2.3326, + "step": 9285 + }, + { + "epoch": 0.929, + "grad_norm": 0.8077675700187683, + "learning_rate": 1.4214214214214214e-05, + "loss": 2.3386, + "step": 9290 + }, + { + "epoch": 0.9295, + "grad_norm": 0.8057301640510559, + "learning_rate": 1.4114114114114116e-05, + "loss": 2.3447, + "step": 9295 + }, + { + "epoch": 0.93, + "grad_norm": 0.8298118114471436, + "learning_rate": 1.4014014014014016e-05, + "loss": 2.3597, + "step": 9300 + }, + { + "epoch": 0.9305, + "grad_norm": 0.8423778414726257, + "learning_rate": 1.3913913913913915e-05, + "loss": 2.3413, + "step": 9305 + }, + { + "epoch": 0.931, + "grad_norm": 0.8156774044036865, + "learning_rate": 1.3813813813813815e-05, + "loss": 2.3265, + "step": 9310 + }, + { + "epoch": 0.9315, + "grad_norm": 0.8573948740959167, + "learning_rate": 1.3713713713713713e-05, + "loss": 2.3454, + "step": 9315 + }, + { + "epoch": 0.932, + "grad_norm": 0.8804399371147156, + "learning_rate": 1.3613613613613615e-05, + "loss": 2.3403, + "step": 9320 + }, + { + "epoch": 0.9325, + "grad_norm": 0.8353649377822876, + "learning_rate": 1.3513513513513515e-05, + "loss": 2.3485, + "step": 9325 + }, + { + "epoch": 0.933, + "grad_norm": 0.846034824848175, + "learning_rate": 1.3413413413413414e-05, + "loss": 2.3512, + "step": 9330 + }, + { + "epoch": 0.9335, + "grad_norm": 0.8679665327072144, + "learning_rate": 1.3313313313313314e-05, + "loss": 2.3391, + "step": 9335 + }, + { + "epoch": 0.934, + "grad_norm": 0.8045667409896851, + "learning_rate": 1.3213213213213214e-05, + "loss": 2.3444, + "step": 9340 + }, + { + "epoch": 0.9345, + "grad_norm": 0.8405826687812805, + "learning_rate": 1.3113113113113112e-05, + "loss": 2.3435, + "step": 9345 + }, + { + "epoch": 0.935, + "grad_norm": 0.8193458914756775, + "learning_rate": 1.3013013013013014e-05, + "loss": 2.3224, + "step": 9350 + }, + { + "epoch": 0.9355, + "grad_norm": 0.8291559815406799, + "learning_rate": 1.2912912912912914e-05, + "loss": 2.3303, + "step": 9355 + }, + { + "epoch": 0.936, + "grad_norm": 0.8167839646339417, + "learning_rate": 1.2812812812812813e-05, + "loss": 2.3534, + "step": 9360 + }, + { + "epoch": 0.9365, + "grad_norm": 0.8425468802452087, + "learning_rate": 1.2712712712712713e-05, + "loss": 2.34, + "step": 9365 + }, + { + "epoch": 0.937, + "grad_norm": 0.8351952433586121, + "learning_rate": 1.2612612612612611e-05, + "loss": 2.3526, + "step": 9370 + }, + { + "epoch": 0.9375, + "grad_norm": 0.8092942237854004, + "learning_rate": 1.2512512512512515e-05, + "loss": 2.3304, + "step": 9375 + }, + { + "epoch": 0.938, + "grad_norm": 0.8376879692077637, + "learning_rate": 1.2412412412412413e-05, + "loss": 2.3527, + "step": 9380 + }, + { + "epoch": 0.9385, + "grad_norm": 0.8303145170211792, + "learning_rate": 1.2312312312312313e-05, + "loss": 2.3195, + "step": 9385 + }, + { + "epoch": 0.939, + "grad_norm": 0.8191754817962646, + "learning_rate": 1.2212212212212212e-05, + "loss": 2.3222, + "step": 9390 + }, + { + "epoch": 0.9395, + "grad_norm": 0.8104075193405151, + "learning_rate": 1.2112112112112114e-05, + "loss": 2.3402, + "step": 9395 + }, + { + "epoch": 0.94, + "grad_norm": 0.8076393008232117, + "learning_rate": 1.2012012012012012e-05, + "loss": 2.3364, + "step": 9400 + }, + { + "epoch": 0.9405, + "grad_norm": 0.8219597935676575, + "learning_rate": 1.1911911911911912e-05, + "loss": 2.345, + "step": 9405 + }, + { + "epoch": 0.941, + "grad_norm": 0.8121560215950012, + "learning_rate": 1.1811811811811812e-05, + "loss": 2.3112, + "step": 9410 + }, + { + "epoch": 0.9415, + "grad_norm": 0.8694724440574646, + "learning_rate": 1.1711711711711713e-05, + "loss": 2.3605, + "step": 9415 + }, + { + "epoch": 0.942, + "grad_norm": 0.8347329497337341, + "learning_rate": 1.1611611611611613e-05, + "loss": 2.3182, + "step": 9420 + }, + { + "epoch": 0.9425, + "grad_norm": 0.8236081600189209, + "learning_rate": 1.1511511511511513e-05, + "loss": 2.3468, + "step": 9425 + }, + { + "epoch": 0.943, + "grad_norm": 0.8303726315498352, + "learning_rate": 1.1411411411411411e-05, + "loss": 2.3423, + "step": 9430 + }, + { + "epoch": 0.9435, + "grad_norm": 0.8322924971580505, + "learning_rate": 1.1311311311311313e-05, + "loss": 2.3514, + "step": 9435 + }, + { + "epoch": 0.944, + "grad_norm": 0.8485186100006104, + "learning_rate": 1.1211211211211212e-05, + "loss": 2.3361, + "step": 9440 + }, + { + "epoch": 0.9445, + "grad_norm": 0.8518514633178711, + "learning_rate": 1.1111111111111112e-05, + "loss": 2.348, + "step": 9445 + }, + { + "epoch": 0.945, + "grad_norm": 0.8338407278060913, + "learning_rate": 1.1011011011011012e-05, + "loss": 2.3402, + "step": 9450 + }, + { + "epoch": 0.9455, + "grad_norm": 0.8358404636383057, + "learning_rate": 1.0910910910910912e-05, + "loss": 2.3403, + "step": 9455 + }, + { + "epoch": 0.946, + "grad_norm": 0.8189331293106079, + "learning_rate": 1.0810810810810812e-05, + "loss": 2.3367, + "step": 9460 + }, + { + "epoch": 0.9465, + "grad_norm": 0.8365352749824524, + "learning_rate": 1.071071071071071e-05, + "loss": 2.3441, + "step": 9465 + }, + { + "epoch": 0.947, + "grad_norm": 0.8106439709663391, + "learning_rate": 1.061061061061061e-05, + "loss": 2.3496, + "step": 9470 + }, + { + "epoch": 0.9475, + "grad_norm": 0.8290128707885742, + "learning_rate": 1.051051051051051e-05, + "loss": 2.3161, + "step": 9475 + }, + { + "epoch": 0.948, + "grad_norm": 0.8077024221420288, + "learning_rate": 1.0410410410410411e-05, + "loss": 2.3411, + "step": 9480 + }, + { + "epoch": 0.9485, + "grad_norm": 0.838545024394989, + "learning_rate": 1.031031031031031e-05, + "loss": 2.3505, + "step": 9485 + }, + { + "epoch": 0.949, + "grad_norm": 0.8450316190719604, + "learning_rate": 1.0210210210210211e-05, + "loss": 2.3318, + "step": 9490 + }, + { + "epoch": 0.9495, + "grad_norm": 0.8616166710853577, + "learning_rate": 1.011011011011011e-05, + "loss": 2.3206, + "step": 9495 + }, + { + "epoch": 0.95, + "grad_norm": 0.8224554657936096, + "learning_rate": 1.0010010010010011e-05, + "loss": 2.3164, + "step": 9500 + }, + { + "epoch": 0.9505, + "grad_norm": 0.8563039898872375, + "learning_rate": 9.90990990990991e-06, + "loss": 2.3529, + "step": 9505 + }, + { + "epoch": 0.951, + "grad_norm": 0.8293529748916626, + "learning_rate": 9.80980980980981e-06, + "loss": 2.3583, + "step": 9510 + }, + { + "epoch": 0.9515, + "grad_norm": 0.8387513160705566, + "learning_rate": 9.70970970970971e-06, + "loss": 2.3161, + "step": 9515 + }, + { + "epoch": 0.952, + "grad_norm": 0.834874153137207, + "learning_rate": 9.60960960960961e-06, + "loss": 2.3416, + "step": 9520 + }, + { + "epoch": 0.9525, + "grad_norm": 0.8364129066467285, + "learning_rate": 9.509509509509509e-06, + "loss": 2.3284, + "step": 9525 + }, + { + "epoch": 0.953, + "grad_norm": 0.8416669368743896, + "learning_rate": 9.40940940940941e-06, + "loss": 2.3454, + "step": 9530 + }, + { + "epoch": 0.9535, + "grad_norm": 0.8180063962936401, + "learning_rate": 9.309309309309309e-06, + "loss": 2.3561, + "step": 9535 + }, + { + "epoch": 0.954, + "grad_norm": 0.8143042325973511, + "learning_rate": 9.209209209209211e-06, + "loss": 2.3251, + "step": 9540 + }, + { + "epoch": 0.9545, + "grad_norm": 0.813728392124176, + "learning_rate": 9.10910910910911e-06, + "loss": 2.3326, + "step": 9545 + }, + { + "epoch": 0.955, + "grad_norm": 0.8583104014396667, + "learning_rate": 9.00900900900901e-06, + "loss": 2.3532, + "step": 9550 + }, + { + "epoch": 0.9555, + "grad_norm": 0.8487512469291687, + "learning_rate": 8.90890890890891e-06, + "loss": 2.3126, + "step": 9555 + }, + { + "epoch": 0.956, + "grad_norm": 0.8339818716049194, + "learning_rate": 8.80880880880881e-06, + "loss": 2.3345, + "step": 9560 + }, + { + "epoch": 0.9565, + "grad_norm": 0.834420382976532, + "learning_rate": 8.708708708708708e-06, + "loss": 2.3485, + "step": 9565 + }, + { + "epoch": 0.957, + "grad_norm": 0.859883725643158, + "learning_rate": 8.60860860860861e-06, + "loss": 2.3398, + "step": 9570 + }, + { + "epoch": 0.9575, + "grad_norm": 0.8119943141937256, + "learning_rate": 8.508508508508508e-06, + "loss": 2.3428, + "step": 9575 + }, + { + "epoch": 0.958, + "grad_norm": 0.8337917923927307, + "learning_rate": 8.408408408408409e-06, + "loss": 2.3165, + "step": 9580 + }, + { + "epoch": 0.9585, + "grad_norm": 0.8146688342094421, + "learning_rate": 8.308308308308309e-06, + "loss": 2.3449, + "step": 9585 + }, + { + "epoch": 0.959, + "grad_norm": 0.8490365147590637, + "learning_rate": 8.208208208208209e-06, + "loss": 2.3161, + "step": 9590 + }, + { + "epoch": 0.9595, + "grad_norm": 0.8450210094451904, + "learning_rate": 8.108108108108109e-06, + "loss": 2.3502, + "step": 9595 + }, + { + "epoch": 0.96, + "grad_norm": 0.8308297395706177, + "learning_rate": 8.008008008008007e-06, + "loss": 2.3125, + "step": 9600 + }, + { + "epoch": 0.9605, + "grad_norm": 0.8298580646514893, + "learning_rate": 7.907907907907908e-06, + "loss": 2.3375, + "step": 9605 + }, + { + "epoch": 0.961, + "grad_norm": 0.8202354311943054, + "learning_rate": 7.807807807807808e-06, + "loss": 2.3066, + "step": 9610 + }, + { + "epoch": 0.9615, + "grad_norm": 0.8283280730247498, + "learning_rate": 7.707707707707708e-06, + "loss": 2.3429, + "step": 9615 + }, + { + "epoch": 0.962, + "grad_norm": 0.8393738269805908, + "learning_rate": 7.607607607607609e-06, + "loss": 2.313, + "step": 9620 + }, + { + "epoch": 0.9625, + "grad_norm": 0.8319004774093628, + "learning_rate": 7.507507507507508e-06, + "loss": 2.3631, + "step": 9625 + }, + { + "epoch": 0.963, + "grad_norm": 0.8432734608650208, + "learning_rate": 7.4074074074074075e-06, + "loss": 2.3278, + "step": 9630 + }, + { + "epoch": 0.9635, + "grad_norm": 0.8351683020591736, + "learning_rate": 7.3073073073073085e-06, + "loss": 2.3359, + "step": 9635 + }, + { + "epoch": 0.964, + "grad_norm": 0.834241509437561, + "learning_rate": 7.207207207207208e-06, + "loss": 2.3358, + "step": 9640 + }, + { + "epoch": 0.9645, + "grad_norm": 0.8175002336502075, + "learning_rate": 7.107107107107107e-06, + "loss": 2.3433, + "step": 9645 + }, + { + "epoch": 0.965, + "grad_norm": 0.8678650856018066, + "learning_rate": 7.007007007007008e-06, + "loss": 2.3168, + "step": 9650 + }, + { + "epoch": 0.9655, + "grad_norm": 0.8319632411003113, + "learning_rate": 6.906906906906907e-06, + "loss": 2.3416, + "step": 9655 + }, + { + "epoch": 0.966, + "grad_norm": 0.8304513692855835, + "learning_rate": 6.8068068068068075e-06, + "loss": 2.3282, + "step": 9660 + }, + { + "epoch": 0.9665, + "grad_norm": 0.8106830716133118, + "learning_rate": 6.706706706706707e-06, + "loss": 2.31, + "step": 9665 + }, + { + "epoch": 0.967, + "grad_norm": 0.8108156323432922, + "learning_rate": 6.606606606606607e-06, + "loss": 2.3242, + "step": 9670 + }, + { + "epoch": 0.9675, + "grad_norm": 0.8338386416435242, + "learning_rate": 6.506506506506507e-06, + "loss": 2.3225, + "step": 9675 + }, + { + "epoch": 0.968, + "grad_norm": 0.8349241614341736, + "learning_rate": 6.406406406406406e-06, + "loss": 2.3267, + "step": 9680 + }, + { + "epoch": 0.9685, + "grad_norm": 0.8335773348808289, + "learning_rate": 6.306306306306306e-06, + "loss": 2.3355, + "step": 9685 + }, + { + "epoch": 0.969, + "grad_norm": 0.8067938089370728, + "learning_rate": 6.206206206206207e-06, + "loss": 2.3324, + "step": 9690 + }, + { + "epoch": 0.9695, + "grad_norm": 0.8177109360694885, + "learning_rate": 6.106106106106106e-06, + "loss": 2.3529, + "step": 9695 + }, + { + "epoch": 0.97, + "grad_norm": 0.8041896820068359, + "learning_rate": 6.006006006006006e-06, + "loss": 2.3179, + "step": 9700 + }, + { + "epoch": 0.9705, + "grad_norm": 0.818508505821228, + "learning_rate": 5.905905905905906e-06, + "loss": 2.3355, + "step": 9705 + }, + { + "epoch": 0.971, + "grad_norm": 0.8300430178642273, + "learning_rate": 5.805805805805806e-06, + "loss": 2.3316, + "step": 9710 + }, + { + "epoch": 0.9715, + "grad_norm": 0.8161868453025818, + "learning_rate": 5.705705705705706e-06, + "loss": 2.3282, + "step": 9715 + }, + { + "epoch": 0.972, + "grad_norm": 0.8113592267036438, + "learning_rate": 5.605605605605606e-06, + "loss": 2.3524, + "step": 9720 + }, + { + "epoch": 0.9725, + "grad_norm": 0.8195970058441162, + "learning_rate": 5.505505505505506e-06, + "loss": 2.321, + "step": 9725 + }, + { + "epoch": 0.973, + "grad_norm": 0.8336008191108704, + "learning_rate": 5.405405405405406e-06, + "loss": 2.3283, + "step": 9730 + }, + { + "epoch": 0.9735, + "grad_norm": 0.8411681056022644, + "learning_rate": 5.305305305305305e-06, + "loss": 2.3252, + "step": 9735 + }, + { + "epoch": 0.974, + "grad_norm": 0.8225618600845337, + "learning_rate": 5.2052052052052055e-06, + "loss": 2.3188, + "step": 9740 + }, + { + "epoch": 0.9745, + "grad_norm": 0.8509226441383362, + "learning_rate": 5.105105105105106e-06, + "loss": 2.3575, + "step": 9745 + }, + { + "epoch": 0.975, + "grad_norm": 0.8630853891372681, + "learning_rate": 5.005005005005006e-06, + "loss": 2.324, + "step": 9750 + }, + { + "epoch": 0.9755, + "grad_norm": 0.8567425608634949, + "learning_rate": 4.904904904904905e-06, + "loss": 2.3474, + "step": 9755 + }, + { + "epoch": 0.976, + "grad_norm": 0.8153373003005981, + "learning_rate": 4.804804804804805e-06, + "loss": 2.3445, + "step": 9760 + }, + { + "epoch": 0.9765, + "grad_norm": 0.8349518775939941, + "learning_rate": 4.704704704704705e-06, + "loss": 2.3057, + "step": 9765 + }, + { + "epoch": 0.977, + "grad_norm": 0.8440520167350769, + "learning_rate": 4.6046046046046055e-06, + "loss": 2.3208, + "step": 9770 + }, + { + "epoch": 0.9775, + "grad_norm": 0.8132700324058533, + "learning_rate": 4.504504504504505e-06, + "loss": 2.3367, + "step": 9775 + }, + { + "epoch": 0.978, + "grad_norm": 0.8062158226966858, + "learning_rate": 4.404404404404405e-06, + "loss": 2.312, + "step": 9780 + }, + { + "epoch": 0.9785, + "grad_norm": 0.848967969417572, + "learning_rate": 4.304304304304305e-06, + "loss": 2.3526, + "step": 9785 + }, + { + "epoch": 0.979, + "grad_norm": 0.8730021119117737, + "learning_rate": 4.204204204204204e-06, + "loss": 2.357, + "step": 9790 + }, + { + "epoch": 0.9795, + "grad_norm": 0.8056657910346985, + "learning_rate": 4.1041041041041045e-06, + "loss": 2.3621, + "step": 9795 + }, + { + "epoch": 0.98, + "grad_norm": 0.8473744988441467, + "learning_rate": 4.004004004004004e-06, + "loss": 2.335, + "step": 9800 + }, + { + "epoch": 0.9805, + "grad_norm": 0.8399832248687744, + "learning_rate": 3.903903903903904e-06, + "loss": 2.3334, + "step": 9805 + }, + { + "epoch": 0.981, + "grad_norm": 0.8139746785163879, + "learning_rate": 3.8038038038038044e-06, + "loss": 2.335, + "step": 9810 + }, + { + "epoch": 0.9815, + "grad_norm": 0.8043482899665833, + "learning_rate": 3.7037037037037037e-06, + "loss": 2.3141, + "step": 9815 + }, + { + "epoch": 0.982, + "grad_norm": 0.8388903737068176, + "learning_rate": 3.603603603603604e-06, + "loss": 2.3364, + "step": 9820 + }, + { + "epoch": 0.9825, + "grad_norm": 0.8074804544448853, + "learning_rate": 3.503503503503504e-06, + "loss": 2.3478, + "step": 9825 + }, + { + "epoch": 0.983, + "grad_norm": 0.8122521638870239, + "learning_rate": 3.4034034034034037e-06, + "loss": 2.3184, + "step": 9830 + }, + { + "epoch": 0.9835, + "grad_norm": 0.8089945912361145, + "learning_rate": 3.3033033033033035e-06, + "loss": 2.3368, + "step": 9835 + }, + { + "epoch": 0.984, + "grad_norm": 0.8560210466384888, + "learning_rate": 3.203203203203203e-06, + "loss": 2.3264, + "step": 9840 + }, + { + "epoch": 0.9845, + "grad_norm": 0.8315675258636475, + "learning_rate": 3.1031031031031033e-06, + "loss": 2.3474, + "step": 9845 + }, + { + "epoch": 0.985, + "grad_norm": 0.8220996856689453, + "learning_rate": 3.003003003003003e-06, + "loss": 2.3311, + "step": 9850 + }, + { + "epoch": 0.9855, + "grad_norm": 0.8553528785705566, + "learning_rate": 2.902902902902903e-06, + "loss": 2.3331, + "step": 9855 + }, + { + "epoch": 0.986, + "grad_norm": 0.8232652544975281, + "learning_rate": 2.802802802802803e-06, + "loss": 2.3272, + "step": 9860 + }, + { + "epoch": 0.9865, + "grad_norm": 0.8154972791671753, + "learning_rate": 2.702702702702703e-06, + "loss": 2.33, + "step": 9865 + }, + { + "epoch": 0.987, + "grad_norm": 0.7969358563423157, + "learning_rate": 2.6026026026026027e-06, + "loss": 2.3226, + "step": 9870 + }, + { + "epoch": 0.9875, + "grad_norm": 0.8221673965454102, + "learning_rate": 2.502502502502503e-06, + "loss": 2.3385, + "step": 9875 + }, + { + "epoch": 0.988, + "grad_norm": 0.8291456699371338, + "learning_rate": 2.4024024024024026e-06, + "loss": 2.3434, + "step": 9880 + }, + { + "epoch": 0.9885, + "grad_norm": 0.7976441383361816, + "learning_rate": 2.3023023023023027e-06, + "loss": 2.3119, + "step": 9885 + }, + { + "epoch": 0.989, + "grad_norm": 0.8049326539039612, + "learning_rate": 2.2022022022022024e-06, + "loss": 2.3409, + "step": 9890 + }, + { + "epoch": 0.9895, + "grad_norm": 0.8277580142021179, + "learning_rate": 2.102102102102102e-06, + "loss": 2.3349, + "step": 9895 + }, + { + "epoch": 0.99, + "grad_norm": 0.8092420101165771, + "learning_rate": 2.002002002002002e-06, + "loss": 2.3369, + "step": 9900 + }, + { + "epoch": 0.9905, + "grad_norm": 0.8332076668739319, + "learning_rate": 1.9019019019019022e-06, + "loss": 2.3319, + "step": 9905 + }, + { + "epoch": 0.991, + "grad_norm": 0.8229449391365051, + "learning_rate": 1.801801801801802e-06, + "loss": 2.3369, + "step": 9910 + }, + { + "epoch": 0.9915, + "grad_norm": 0.8201963305473328, + "learning_rate": 1.7017017017017019e-06, + "loss": 2.3482, + "step": 9915 + }, + { + "epoch": 0.992, + "grad_norm": 0.7966458797454834, + "learning_rate": 1.6016016016016016e-06, + "loss": 2.335, + "step": 9920 + }, + { + "epoch": 0.9925, + "grad_norm": 0.8265637159347534, + "learning_rate": 1.5015015015015015e-06, + "loss": 2.3531, + "step": 9925 + }, + { + "epoch": 0.993, + "grad_norm": 0.8379909992218018, + "learning_rate": 1.4014014014014014e-06, + "loss": 2.3564, + "step": 9930 + }, + { + "epoch": 0.9935, + "grad_norm": 0.8211309313774109, + "learning_rate": 1.3013013013013014e-06, + "loss": 2.3353, + "step": 9935 + }, + { + "epoch": 0.994, + "grad_norm": 0.8213915228843689, + "learning_rate": 1.2012012012012013e-06, + "loss": 2.3457, + "step": 9940 + }, + { + "epoch": 0.9945, + "grad_norm": 0.8311823606491089, + "learning_rate": 1.1011011011011012e-06, + "loss": 2.3165, + "step": 9945 + }, + { + "epoch": 0.995, + "grad_norm": 0.8197156190872192, + "learning_rate": 1.001001001001001e-06, + "loss": 2.3333, + "step": 9950 + }, + { + "epoch": 0.9955, + "grad_norm": 0.8054954409599304, + "learning_rate": 9.00900900900901e-07, + "loss": 2.3247, + "step": 9955 + }, + { + "epoch": 0.996, + "grad_norm": 0.8266953229904175, + "learning_rate": 8.008008008008008e-07, + "loss": 2.348, + "step": 9960 + }, + { + "epoch": 0.9965, + "grad_norm": 0.8368173241615295, + "learning_rate": 7.007007007007007e-07, + "loss": 2.3323, + "step": 9965 + }, + { + "epoch": 0.997, + "grad_norm": 0.7957631945610046, + "learning_rate": 6.006006006006006e-07, + "loss": 2.3362, + "step": 9970 + }, + { + "epoch": 0.9975, + "grad_norm": 0.8073971271514893, + "learning_rate": 5.005005005005005e-07, + "loss": 2.3181, + "step": 9975 + }, + { + "epoch": 0.998, + "grad_norm": 0.8300249576568604, + "learning_rate": 4.004004004004004e-07, + "loss": 2.3247, + "step": 9980 + }, + { + "epoch": 0.9985, + "grad_norm": 0.8339958190917969, + "learning_rate": 3.003003003003003e-07, + "loss": 2.3474, + "step": 9985 + }, + { + "epoch": 0.999, + "grad_norm": 0.909705400466919, + "learning_rate": 2.002002002002002e-07, + "loss": 2.3224, + "step": 9990 + }, + { + "epoch": 0.9995, + "grad_norm": 0.851557731628418, + "learning_rate": 1.001001001001001e-07, + "loss": 2.3473, + "step": 9995 + }, + { + "epoch": 1.0, + "grad_norm": 0.8165029287338257, + "learning_rate": 0.0, + "loss": 2.3496, + "step": 10000 + } + ], + "logging_steps": 5, + "max_steps": 10000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 8252377006080000.0, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..7eb013d --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3094fcb2cbf0c2dbb4dd559e2ad79c9e24d99aeecd652bbb12aa828bc03d3da2 +size 5713