commit 528f3c0db1ce5716c4158f58c8274300207e07a5 Author: ModelHub XC Date: Sat Jun 13 09:56:16 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: cs-552-2026-catma/multilingual_model Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..670f935 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.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 +checkpoint-9000/tokenizer.json filter=lfs diff=lfs merge=lfs -text +checkpoint-9329/tokenizer.json filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/EVAL_REPORT.md b/EVAL_REPORT.md new file mode 100644 index 0000000..ac485e7 --- /dev/null +++ b/EVAL_REPORT.md @@ -0,0 +1,53 @@ +# Automated MNLP evaluation report + +- **Model repo:** [`cs-552-2026-catma/multilingual_model`](https://huggingface.co/cs-552-2026-catma/multilingual_model) +- **Owner(s):** group **catma** +- **Generated at:** 2026-05-28T08:03:33+00:00 (UTC) +- **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci) + +_This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._ + +## Summary + +| Benchmark | Accuracy | Status | +|---|---:|---| +| Math | — | not run | +| Knowledge | — | not run | +| Multilingual | 0.6500 | ok | +| Safety | — | not run | + +## Sample completions + +_Prompts are intentionally omitted to avoid revealing benchmark contents. For multi-completion problems, only one completion is shown per sample._ + +### Multilingual + +**Correct** (1 shown) + +- **reference**: `A` +- **overall** (1/1 completions correct) +- **extracted** (✓): `A` +- **completion**: + + ```text + + Analizando las opciones, la respuesta correcta es A. + + + \boxed{A} + ``` + +**Incorrect** (1 shown) + +- **reference**: `B` +- **overall** (0/1 completions correct) +- **extracted** (✗): `A` +- **completion**: + + ```text + + विकल्पों का विश्लेषण करते हुए, सही उत्तर A है। + + + \boxed{A} + ``` diff --git a/README.md b/README.md new file mode 100644 index 0000000..0ec7571 --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: Qwen/Qwen3-1.7B +library_name: transformers +model_name: multilingual +tags: +- generated_from_trainer +- trl +- sft +licence: license +--- + +# Model Card for multilingual + +This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B). +It has been trained using [TRL](https://github.com/huggingface/trl). + +## Quick start + +```python +from transformers import pipeline + +question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" +generator = pipeline("text-generation", model="None", device="cuda") +output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] +print(output["generated_text"]) +``` + +## Training procedure + + + + + +This model was trained with SFT. + +### Framework versions + +- TRL: 1.3.0 +- Transformers: 5.7.0 +- Pytorch: 2.10.0+cu128 +- Datasets: 4.8.5 +- Tokenizers: 0.22.2 + +## Citations + + + +Cite TRL as: + +```bibtex +@software{vonwerra2020trl, + title = {{TRL: Transformers Reinforcement Learning}}, + author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin}, + license = {Apache-2.0}, + url = {https://github.com/huggingface/trl}, + year = {2020} +} +``` \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,89 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/checkpoint-9000/chat_template.jinja b/checkpoint-9000/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/checkpoint-9000/chat_template.jinja @@ -0,0 +1,89 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/checkpoint-9000/config.json b/checkpoint-9000/config.json new file mode 100644 index 0000000..1d219d6 --- /dev/null +++ b/checkpoint-9000/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 6144, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "5.7.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/checkpoint-9000/generation_config.json b/checkpoint-9000/generation_config.json new file mode 100644 index 0000000..5ec133d --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,12 @@ +{ + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95, + "transformers_version": "5.7.0" +} diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors new file mode 100644 index 0000000..e1de158 --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:948f17ca34e5c7b09cfc8beaae1af7daae96e9fe08030b7f7bb59911421b1b66 +size 3441185608 diff --git a/checkpoint-9000/optimizer.pt b/checkpoint-9000/optimizer.pt new file mode 100644 index 0000000..f09a14e --- /dev/null +++ b/checkpoint-9000/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:046c03d7bbdef1eca916da0e549f200a5b0083cc788ce297f7d93d1d01534b65 +size 6882572207 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..6928c3e --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e51a42ec5ffac256f3cd0ee0ccd7a6d3befe58914ad400c0cc707bc4a5ee283 +size 14645 diff --git a/checkpoint-9000/scheduler.pt b/checkpoint-9000/scheduler.pt new file mode 100644 index 0000000..36f5fde --- /dev/null +++ b/checkpoint-9000/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67bca42526be3b0972feec787047fe48501e9f96a69302aee50aa9e3ec5c5ace +size 1465 diff --git a/checkpoint-9000/tokenizer.json b/checkpoint-9000/tokenizer.json new file mode 100644 index 0000000..c7afbed --- /dev/null +++ b/checkpoint-9000/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506 +size 11422650 diff --git a/checkpoint-9000/tokenizer_config.json b/checkpoint-9000/tokenizer_config.json new file mode 100644 index 0000000..770e41d --- /dev/null +++ b/checkpoint-9000/tokenizer_config.json @@ -0,0 +1,30 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "is_local": false, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json new file mode 100644 index 0000000..72270af --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,4732 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.964824120603015, + "eval_steps": 500, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 0.3966331691481173, + "epoch": 0.0021440536013400337, + "grad_norm": 129.0, + "learning_rate": 1.3571428571428572e-06, + "loss": 3.2754512786865235, + "mean_token_accuracy": 0.7025479640811682, + "num_tokens": 100865.0, + "step": 20 + }, + { + "entropy": 0.39382178746163843, + "epoch": 0.004288107202680067, + "grad_norm": 72.5, + "learning_rate": 2.785714285714286e-06, + "loss": 2.5979455947875976, + "mean_token_accuracy": 0.7279976762831211, + "num_tokens": 209237.0, + "step": 40 + }, + { + "entropy": 0.49158020988106726, + "epoch": 0.006432160804020101, + "grad_norm": 31.0, + "learning_rate": 4.2142857142857145e-06, + "loss": 1.34407320022583, + "mean_token_accuracy": 0.7954290494322777, + "num_tokens": 322722.0, + "step": 60 + }, + { + "entropy": 0.37321625389158725, + "epoch": 0.008576214405360135, + "grad_norm": 9.6875, + "learning_rate": 5.6428571428571435e-06, + "loss": 0.308458948135376, + "mean_token_accuracy": 0.9197555683553219, + "num_tokens": 426557.0, + "step": 80 + }, + { + "entropy": 0.09664252077927812, + "epoch": 0.010720268006700168, + "grad_norm": 4.25, + "learning_rate": 7.0714285714285726e-06, + "loss": 0.08551757931709289, + "mean_token_accuracy": 0.9772517420351505, + "num_tokens": 538043.0, + "step": 100 + }, + { + "entropy": 0.06678911932976916, + "epoch": 0.012864321608040201, + "grad_norm": 6.59375, + "learning_rate": 8.5e-06, + "loss": 0.05725666880607605, + "mean_token_accuracy": 0.978511106595397, + "num_tokens": 651143.0, + "step": 120 + }, + { + "entropy": 0.05399178955703974, + "epoch": 0.015008375209380235, + "grad_norm": 1.8515625, + "learning_rate": 9.92857142857143e-06, + "loss": 0.0476167619228363, + "mean_token_accuracy": 0.9818631950765848, + "num_tokens": 759324.0, + "step": 140 + }, + { + "entropy": 0.050143458176171406, + "epoch": 0.01715242881072027, + "grad_norm": 2.65625, + "learning_rate": 1.1357142857142858e-05, + "loss": 0.048712074756622314, + "mean_token_accuracy": 0.9795998100191354, + "num_tokens": 854771.0, + "step": 160 + }, + { + "entropy": 0.04800442266860046, + "epoch": 0.019296482412060303, + "grad_norm": 2.53125, + "learning_rate": 1.2785714285714286e-05, + "loss": 0.046506857872009276, + "mean_token_accuracy": 0.9819129385054112, + "num_tokens": 965263.0, + "step": 180 + }, + { + "entropy": 0.04474863488285337, + "epoch": 0.021440536013400336, + "grad_norm": 2.46875, + "learning_rate": 1.4214285714285716e-05, + "loss": 0.04230240285396576, + "mean_token_accuracy": 0.9835243009030818, + "num_tokens": 1067106.0, + "step": 200 + }, + { + "entropy": 0.04506044688168913, + "epoch": 0.02358458961474037, + "grad_norm": 4.59375, + "learning_rate": 1.5642857142857143e-05, + "loss": 0.04433030188083649, + "mean_token_accuracy": 0.9820781596004963, + "num_tokens": 1181133.0, + "step": 220 + }, + { + "entropy": 0.04305547107360326, + "epoch": 0.025728643216080403, + "grad_norm": 1.7890625, + "learning_rate": 1.7071428571428573e-05, + "loss": 0.04099105894565582, + "mean_token_accuracy": 0.9831817526370287, + "num_tokens": 1301484.0, + "step": 240 + }, + { + "entropy": 0.04266677545965649, + "epoch": 0.027872696817420436, + "grad_norm": 2.34375, + "learning_rate": 1.8500000000000002e-05, + "loss": 0.04160386621952057, + "mean_token_accuracy": 0.9813323471695184, + "num_tokens": 1403952.0, + "step": 260 + }, + { + "entropy": 0.04101881538517773, + "epoch": 0.03001675041876047, + "grad_norm": 2.59375, + "learning_rate": 1.992857142857143e-05, + "loss": 0.042915910482406616, + "mean_token_accuracy": 0.9821092572063208, + "num_tokens": 1517588.0, + "step": 280 + }, + { + "entropy": 0.04049238133156905, + "epoch": 0.032160804020100506, + "grad_norm": 2.703125, + "learning_rate": 1.9999782442429437e-05, + "loss": 0.04166347980499267, + "mean_token_accuracy": 0.9828211534768343, + "num_tokens": 1629657.0, + "step": 300 + }, + { + "entropy": 0.04230240093893371, + "epoch": 0.03430485762144054, + "grad_norm": 1.2421875, + "learning_rate": 1.9999083376151357e-05, + "loss": 0.041567260026931764, + "mean_token_accuracy": 0.9822345357388258, + "num_tokens": 1721145.0, + "step": 320 + }, + { + "entropy": 0.03799658405041555, + "epoch": 0.03644891122278057, + "grad_norm": 3.3125, + "learning_rate": 1.9997902232214542e-05, + "loss": 0.0413459450006485, + "mean_token_accuracy": 0.9830254316329956, + "num_tokens": 1820492.0, + "step": 340 + }, + { + "entropy": 0.041703186882659796, + "epoch": 0.038592964824120606, + "grad_norm": 2.65625, + "learning_rate": 1.999623906756452e-05, + "loss": 0.040859296917915344, + "mean_token_accuracy": 0.976021521165967, + "num_tokens": 1931348.0, + "step": 360 + }, + { + "entropy": 0.04301113227265887, + "epoch": 0.04073701842546064, + "grad_norm": 1.7734375, + "learning_rate": 1.9994093962386102e-05, + "loss": 0.04014136493206024, + "mean_token_accuracy": 0.9837368253618479, + "num_tokens": 2047917.0, + "step": 380 + }, + { + "entropy": 0.041214162003598176, + "epoch": 0.04288107202680067, + "grad_norm": 1.5078125, + "learning_rate": 1.9991467020099492e-05, + "loss": 0.04444628953933716, + "mean_token_accuracy": 0.9809734560549259, + "num_tokens": 2149033.0, + "step": 400 + }, + { + "entropy": 0.04038102811900899, + "epoch": 0.045025125628140705, + "grad_norm": 1.6796875, + "learning_rate": 1.998835836735531e-05, + "loss": 0.0405484139919281, + "mean_token_accuracy": 0.982579792290926, + "num_tokens": 2248970.0, + "step": 420 + }, + { + "entropy": 0.039991069887764755, + "epoch": 0.04716917922948074, + "grad_norm": 1.09375, + "learning_rate": 1.9984768154028508e-05, + "loss": 0.03874191641807556, + "mean_token_accuracy": 0.9835739009082317, + "num_tokens": 2350681.0, + "step": 440 + }, + { + "entropy": 0.03837411678614444, + "epoch": 0.04931323283082077, + "grad_norm": 1.4296875, + "learning_rate": 1.9980696553211108e-05, + "loss": 0.04068012237548828, + "mean_token_accuracy": 0.9836468525230885, + "num_tokens": 2455656.0, + "step": 460 + }, + { + "entropy": 0.03925063398201019, + "epoch": 0.051457286432160805, + "grad_norm": 2.140625, + "learning_rate": 1.9976143761203893e-05, + "loss": 0.04098735451698303, + "mean_token_accuracy": 0.9809495396912098, + "num_tokens": 2559532.0, + "step": 480 + }, + { + "entropy": 0.03997599564900156, + "epoch": 0.05360134003350084, + "grad_norm": 1.546875, + "learning_rate": 1.99711099975069e-05, + "loss": 0.03899767398834229, + "mean_token_accuracy": 0.9831298362463713, + "num_tokens": 2654243.0, + "step": 500 + }, + { + "epoch": 0.05360134003350084, + "eval_entropy": 0.038057172449305655, + "eval_loss": 0.03832634538412094, + "eval_mean_token_accuracy": 0.9846738157272339, + "eval_num_tokens": 2654243.0, + "eval_runtime": 20.3077, + "eval_samples_per_second": 36.932, + "eval_steps_per_second": 18.466, + "step": 500 + }, + { + "entropy": 0.040187044665799476, + "epoch": 0.05574539363484087, + "grad_norm": 3.796875, + "learning_rate": 1.9965595504808886e-05, + "loss": 0.03858818709850311, + "mean_token_accuracy": 0.9832367639988661, + "num_tokens": 2751255.0, + "step": 520 + }, + { + "entropy": 0.035708320523553994, + "epoch": 0.057889447236180905, + "grad_norm": 1.8515625, + "learning_rate": 1.9959600548975593e-05, + "loss": 0.035676625370979306, + "mean_token_accuracy": 0.9861446134746075, + "num_tokens": 2849554.0, + "step": 540 + }, + { + "entropy": 0.036129794413864144, + "epoch": 0.06003350083752094, + "grad_norm": 1.3828125, + "learning_rate": 1.9953125419036935e-05, + "loss": 0.03737228214740753, + "mean_token_accuracy": 0.9838687002658844, + "num_tokens": 2948412.0, + "step": 560 + }, + { + "entropy": 0.036765301373088734, + "epoch": 0.06217755443886097, + "grad_norm": 1.6640625, + "learning_rate": 1.994617042717308e-05, + "loss": 0.03550122678279877, + "mean_token_accuracy": 0.9847423356026411, + "num_tokens": 3048326.0, + "step": 580 + }, + { + "entropy": 0.03411570826137904, + "epoch": 0.06432160804020101, + "grad_norm": 2.40625, + "learning_rate": 1.9938735908699384e-05, + "loss": 0.036294499039649965, + "mean_token_accuracy": 0.9855027917772532, + "num_tokens": 3161774.0, + "step": 600 + }, + { + "entropy": 0.0356013277938473, + "epoch": 0.06646566164154104, + "grad_norm": 1.84375, + "learning_rate": 1.993082222205023e-05, + "loss": 0.034555235505104066, + "mean_token_accuracy": 0.9851896297186613, + "num_tokens": 3273915.0, + "step": 620 + }, + { + "entropy": 0.0345983263629023, + "epoch": 0.06860971524288108, + "grad_norm": 2.34375, + "learning_rate": 1.9922429748761733e-05, + "loss": 0.03647570013999939, + "mean_token_accuracy": 0.9840687446296215, + "num_tokens": 3381550.0, + "step": 640 + }, + { + "entropy": 0.03738872102476307, + "epoch": 0.0707537688442211, + "grad_norm": 1.7265625, + "learning_rate": 1.9913558893453382e-05, + "loss": 0.036225003004074094, + "mean_token_accuracy": 0.9841504596173763, + "num_tokens": 3484439.0, + "step": 660 + }, + { + "entropy": 0.037293507948561455, + "epoch": 0.07289782244556114, + "grad_norm": 2.0625, + "learning_rate": 1.9904210083808485e-05, + "loss": 0.03906684815883636, + "mean_token_accuracy": 0.9821466624736785, + "num_tokens": 3588594.0, + "step": 680 + }, + { + "entropy": 0.03572316213103477, + "epoch": 0.07504187604690117, + "grad_norm": 1.3671875, + "learning_rate": 1.9894383770553594e-05, + "loss": 0.03395065367221832, + "mean_token_accuracy": 0.9846713658422231, + "num_tokens": 3690877.0, + "step": 700 + }, + { + "entropy": 0.0373659498654888, + "epoch": 0.07718592964824121, + "grad_norm": 1.1328125, + "learning_rate": 1.988408042743673e-05, + "loss": 0.03977937400341034, + "mean_token_accuracy": 0.982515212148428, + "num_tokens": 3802248.0, + "step": 720 + }, + { + "entropy": 0.03811679463542532, + "epoch": 0.07932998324958124, + "grad_norm": 3.171875, + "learning_rate": 1.9873300551204588e-05, + "loss": 0.03767184019088745, + "mean_token_accuracy": 0.9842769052833319, + "num_tokens": 3904946.0, + "step": 740 + }, + { + "entropy": 0.03399244465199445, + "epoch": 0.08147403685092128, + "grad_norm": 2.046875, + "learning_rate": 1.9862044661578554e-05, + "loss": 0.033424127101898196, + "mean_token_accuracy": 0.9856430813670158, + "num_tokens": 4011765.0, + "step": 760 + }, + { + "entropy": 0.03507241023471579, + "epoch": 0.0836180904522613, + "grad_norm": 2.328125, + "learning_rate": 1.985031330122966e-05, + "loss": 0.034555363655090335, + "mean_token_accuracy": 0.9848727196455002, + "num_tokens": 4119751.0, + "step": 780 + }, + { + "entropy": 0.03295613579248311, + "epoch": 0.08576214405360134, + "grad_norm": 2.015625, + "learning_rate": 1.9838107035752422e-05, + "loss": 0.03498654961585999, + "mean_token_accuracy": 0.9861093372106552, + "num_tokens": 4234054.0, + "step": 800 + }, + { + "entropy": 0.03774066482146736, + "epoch": 0.08790619765494137, + "grad_norm": 1.453125, + "learning_rate": 1.9825426453637578e-05, + "loss": 0.03699869811534882, + "mean_token_accuracy": 0.9836779370903969, + "num_tokens": 4345322.0, + "step": 820 + }, + { + "entropy": 0.03479030575981597, + "epoch": 0.09005025125628141, + "grad_norm": 1.8984375, + "learning_rate": 1.9812272166243694e-05, + "loss": 0.03539972007274628, + "mean_token_accuracy": 0.98408287987113, + "num_tokens": 4439690.0, + "step": 840 + }, + { + "entropy": 0.03287471420262591, + "epoch": 0.09219430485762144, + "grad_norm": 1.9375, + "learning_rate": 1.979864480776771e-05, + "loss": 0.033072105050086974, + "mean_token_accuracy": 0.9868043974041939, + "num_tokens": 4547696.0, + "step": 860 + }, + { + "entropy": 0.03525375899625942, + "epoch": 0.09433835845896148, + "grad_norm": 1.3984375, + "learning_rate": 1.9784545035214358e-05, + "loss": 0.034766626358032224, + "mean_token_accuracy": 0.985904373601079, + "num_tokens": 4656576.0, + "step": 880 + }, + { + "entropy": 0.03227176534710452, + "epoch": 0.0964824120603015, + "grad_norm": 1.46875, + "learning_rate": 1.976997352836448e-05, + "loss": 0.032944831252098086, + "mean_token_accuracy": 0.9853209290653467, + "num_tokens": 4763714.0, + "step": 900 + }, + { + "entropy": 0.03179633504041703, + "epoch": 0.09862646566164154, + "grad_norm": 1.5, + "learning_rate": 1.975493098974226e-05, + "loss": 0.033859679102897645, + "mean_token_accuracy": 0.9853155620396137, + "num_tokens": 4862673.0, + "step": 920 + }, + { + "entropy": 0.0342723391513573, + "epoch": 0.10077051926298157, + "grad_norm": 1.703125, + "learning_rate": 1.9739418144581357e-05, + "loss": 0.035592520236968996, + "mean_token_accuracy": 0.984546373412013, + "num_tokens": 4972462.0, + "step": 940 + }, + { + "entropy": 0.031624948812532236, + "epoch": 0.10291457286432161, + "grad_norm": 1.875, + "learning_rate": 1.9723435740789937e-05, + "loss": 0.03236276209354401, + "mean_token_accuracy": 0.9860632043331862, + "num_tokens": 5076752.0, + "step": 960 + }, + { + "entropy": 0.03294982312654611, + "epoch": 0.10505862646566164, + "grad_norm": 1.9140625, + "learning_rate": 1.97069845489146e-05, + "loss": 0.03309372365474701, + "mean_token_accuracy": 0.9859170567244291, + "num_tokens": 5194841.0, + "step": 980 + }, + { + "entropy": 0.03638018769561313, + "epoch": 0.10720268006700168, + "grad_norm": 1.3671875, + "learning_rate": 1.969006536210327e-05, + "loss": 0.036982369422912595, + "mean_token_accuracy": 0.9845436029136181, + "num_tokens": 5295536.0, + "step": 1000 + }, + { + "epoch": 0.10720268006700168, + "eval_entropy": 0.03662689963728189, + "eval_loss": 0.033028148114681244, + "eval_mean_token_accuracy": 0.9869652398427328, + "eval_num_tokens": 5295536.0, + "eval_runtime": 20.3094, + "eval_samples_per_second": 36.929, + "eval_steps_per_second": 18.464, + "step": 1000 + }, + { + "entropy": 0.035084289042788444, + "epoch": 0.1093467336683417, + "grad_norm": 1.4609375, + "learning_rate": 1.96726789960669e-05, + "loss": 0.03461971580982208, + "mean_token_accuracy": 0.9852123014628887, + "num_tokens": 5398244.0, + "step": 1020 + }, + { + "entropy": 0.03179455297176901, + "epoch": 0.11149078726968174, + "grad_norm": 1.3515625, + "learning_rate": 1.965482628904019e-05, + "loss": 0.03005821704864502, + "mean_token_accuracy": 0.9795859795063734, + "num_tokens": 5513313.0, + "step": 1040 + }, + { + "entropy": 0.028698108330354445, + "epoch": 0.11363484087102177, + "grad_norm": 3.4375, + "learning_rate": 1.963650810174116e-05, + "loss": 0.03329857885837555, + "mean_token_accuracy": 0.9862619318068028, + "num_tokens": 5612778.0, + "step": 1060 + }, + { + "entropy": 0.03370735585340299, + "epoch": 0.11577889447236181, + "grad_norm": 1.84375, + "learning_rate": 1.9617725317329644e-05, + "loss": 0.03324403166770935, + "mean_token_accuracy": 0.985461600497365, + "num_tokens": 5719033.0, + "step": 1080 + }, + { + "entropy": 0.035593700742174404, + "epoch": 0.11792294807370184, + "grad_norm": 1.8671875, + "learning_rate": 1.9598478841364727e-05, + "loss": 0.034142997860908506, + "mean_token_accuracy": 0.985479149222374, + "num_tokens": 5833790.0, + "step": 1100 + }, + { + "entropy": 0.029760706042361564, + "epoch": 0.12006700167504188, + "grad_norm": 1.234375, + "learning_rate": 1.957876960176106e-05, + "loss": 0.03303615748882294, + "mean_token_accuracy": 0.9864209692925214, + "num_tokens": 5942042.0, + "step": 1120 + }, + { + "entropy": 0.03119294007847202, + "epoch": 0.12221105527638192, + "grad_norm": 2.234375, + "learning_rate": 1.955859854874416e-05, + "loss": 0.03496485948562622, + "mean_token_accuracy": 0.9869707945734263, + "num_tokens": 6052169.0, + "step": 1140 + }, + { + "entropy": 0.032620664288697296, + "epoch": 0.12435510887772194, + "grad_norm": 2.1875, + "learning_rate": 1.9537966654804568e-05, + "loss": 0.032474163174629214, + "mean_token_accuracy": 0.985412934049964, + "num_tokens": 6160024.0, + "step": 1160 + }, + { + "entropy": 0.029878590396401707, + "epoch": 0.12649916247906198, + "grad_norm": 1.3203125, + "learning_rate": 1.9516874914650972e-05, + "loss": 0.028646692633628845, + "mean_token_accuracy": 0.9869820442050695, + "num_tokens": 6264476.0, + "step": 1180 + }, + { + "entropy": 0.03366943938890472, + "epoch": 0.12864321608040202, + "grad_norm": 2.390625, + "learning_rate": 1.9495324345162255e-05, + "loss": 0.03512271046638489, + "mean_token_accuracy": 0.9845213159918785, + "num_tokens": 6377469.0, + "step": 1200 + }, + { + "entropy": 0.03266510410194314, + "epoch": 0.13078726968174204, + "grad_norm": 1.625, + "learning_rate": 1.947331598533846e-05, + "loss": 0.03071320950984955, + "mean_token_accuracy": 0.9855085987597704, + "num_tokens": 6489484.0, + "step": 1220 + }, + { + "entropy": 0.02746599452148075, + "epoch": 0.13293132328308208, + "grad_norm": 2.03125, + "learning_rate": 1.9450850896250705e-05, + "loss": 0.029182371497154237, + "mean_token_accuracy": 0.9887533523142338, + "num_tokens": 6594306.0, + "step": 1240 + }, + { + "entropy": 0.029792005700437586, + "epoch": 0.13507537688442212, + "grad_norm": 1.8359375, + "learning_rate": 1.9427930160990026e-05, + "loss": 0.03335131406784057, + "mean_token_accuracy": 0.9871865373104811, + "num_tokens": 6701348.0, + "step": 1260 + }, + { + "entropy": 0.03408827395323897, + "epoch": 0.13721943048576216, + "grad_norm": 1.40625, + "learning_rate": 1.9404554884615153e-05, + "loss": 0.033723458647727966, + "mean_token_accuracy": 0.9851170387119055, + "num_tokens": 6812895.0, + "step": 1280 + }, + { + "entropy": 0.03265384387705126, + "epoch": 0.13936348408710217, + "grad_norm": 2.125, + "learning_rate": 1.9380726194099236e-05, + "loss": 0.032703128457069394, + "mean_token_accuracy": 0.9860071249306201, + "num_tokens": 6914997.0, + "step": 1300 + }, + { + "entropy": 0.030018781982835207, + "epoch": 0.1415075376884422, + "grad_norm": 1.9765625, + "learning_rate": 1.9356445238275518e-05, + "loss": 0.029086670279502867, + "mean_token_accuracy": 0.9875706855207682, + "num_tokens": 7017334.0, + "step": 1320 + }, + { + "entropy": 0.030701546505588338, + "epoch": 0.14365159128978225, + "grad_norm": 2.4375, + "learning_rate": 1.933171318778193e-05, + "loss": 0.03185203075408936, + "mean_token_accuracy": 0.9859924230724573, + "num_tokens": 7124252.0, + "step": 1340 + }, + { + "entropy": 0.032219707980402745, + "epoch": 0.1457956448911223, + "grad_norm": 1.359375, + "learning_rate": 1.9306531235004674e-05, + "loss": 0.03223040103912354, + "mean_token_accuracy": 0.9870269387960434, + "num_tokens": 7234001.0, + "step": 1360 + }, + { + "entropy": 0.029969332017935814, + "epoch": 0.1479396984924623, + "grad_norm": 1.578125, + "learning_rate": 1.928090059402072e-05, + "loss": 0.030724048614501953, + "mean_token_accuracy": 0.9877043284475804, + "num_tokens": 7340453.0, + "step": 1380 + }, + { + "entropy": 0.031696403899695726, + "epoch": 0.15008375209380234, + "grad_norm": 1.25, + "learning_rate": 1.9254822500539268e-05, + "loss": 0.032300516963005066, + "mean_token_accuracy": 0.9876017738133669, + "num_tokens": 7453174.0, + "step": 1400 + }, + { + "entropy": 0.0315240634514339, + "epoch": 0.15222780569514238, + "grad_norm": 1.328125, + "learning_rate": 1.9228298211842193e-05, + "loss": 0.033043709397315976, + "mean_token_accuracy": 0.9866235084831715, + "num_tokens": 7555849.0, + "step": 1420 + }, + { + "entropy": 0.031768915360407844, + "epoch": 0.15437185929648242, + "grad_norm": 2.046875, + "learning_rate": 1.9201329006723413e-05, + "loss": 0.027889394760131837, + "mean_token_accuracy": 0.9881493493914604, + "num_tokens": 7665192.0, + "step": 1440 + }, + { + "entropy": 0.02793313514721376, + "epoch": 0.15651591289782243, + "grad_norm": 1.6015625, + "learning_rate": 1.917391618542724e-05, + "loss": 0.034602677822113036, + "mean_token_accuracy": 0.9850024841725826, + "num_tokens": 7766528.0, + "step": 1460 + }, + { + "entropy": 0.033910460214247, + "epoch": 0.15865996649916247, + "grad_norm": 2.375, + "learning_rate": 1.914606106958568e-05, + "loss": 0.03377147018909454, + "mean_token_accuracy": 0.9864576529711485, + "num_tokens": 7873249.0, + "step": 1480 + }, + { + "entropy": 0.03134421622089576, + "epoch": 0.16080402010050251, + "grad_norm": 1.6328125, + "learning_rate": 1.911776500215474e-05, + "loss": 0.031429946422576904, + "mean_token_accuracy": 0.9866740386933088, + "num_tokens": 7966983.0, + "step": 1500 + }, + { + "epoch": 0.16080402010050251, + "eval_entropy": 0.031583791558475544, + "eval_loss": 0.029090270400047302, + "eval_mean_token_accuracy": 0.9873407395680746, + "eval_num_tokens": 7966983.0, + "eval_runtime": 20.2978, + "eval_samples_per_second": 36.95, + "eval_steps_per_second": 18.475, + "step": 1500 + }, + { + "entropy": 0.03011373901317711, + "epoch": 0.16294807370184256, + "grad_norm": 1.96875, + "learning_rate": 1.9089029347349664e-05, + "loss": 0.029482910037040712, + "mean_token_accuracy": 0.9875899031758308, + "num_tokens": 8076659.0, + "step": 1520 + }, + { + "entropy": 0.024959181708436518, + "epoch": 0.16509212730318257, + "grad_norm": 2.875, + "learning_rate": 1.9059855490579156e-05, + "loss": 0.02683677673339844, + "mean_token_accuracy": 0.989487374201417, + "num_tokens": 8175314.0, + "step": 1540 + }, + { + "entropy": 0.027774957335896033, + "epoch": 0.1672361809045226, + "grad_norm": 2.09375, + "learning_rate": 1.90302448383786e-05, + "loss": 0.03151543140411377, + "mean_token_accuracy": 0.9872768469154835, + "num_tokens": 8290905.0, + "step": 1560 + }, + { + "entropy": 0.03308429398821318, + "epoch": 0.16938023450586265, + "grad_norm": 1.203125, + "learning_rate": 1.9000198818342243e-05, + "loss": 0.03073907792568207, + "mean_token_accuracy": 0.9868967544287444, + "num_tokens": 8397808.0, + "step": 1580 + }, + { + "entropy": 0.030384358397623146, + "epoch": 0.1715242881072027, + "grad_norm": 1.9296875, + "learning_rate": 1.8969718879054365e-05, + "loss": 0.034263554215431216, + "mean_token_accuracy": 0.98636131323874, + "num_tokens": 8504583.0, + "step": 1600 + }, + { + "entropy": 0.02909080486315361, + "epoch": 0.1736683417085427, + "grad_norm": 2.078125, + "learning_rate": 1.893880649001944e-05, + "loss": 0.029698848724365234, + "mean_token_accuracy": 0.9875615444034338, + "num_tokens": 8608889.0, + "step": 1620 + }, + { + "entropy": 0.03127812161601469, + "epoch": 0.17581239530988274, + "grad_norm": 2.3125, + "learning_rate": 1.890746314159129e-05, + "loss": 0.031479662656784056, + "mean_token_accuracy": 0.9861587047576904, + "num_tokens": 8720168.0, + "step": 1640 + }, + { + "entropy": 0.028632436878615407, + "epoch": 0.17795644891122278, + "grad_norm": 2.96875, + "learning_rate": 1.8875690344901237e-05, + "loss": 0.02911217212677002, + "mean_token_accuracy": 0.9880903176963329, + "num_tokens": 8822057.0, + "step": 1660 + }, + { + "entropy": 0.02712122074663057, + "epoch": 0.18010050251256282, + "grad_norm": 5.09375, + "learning_rate": 1.884348963178523e-05, + "loss": 0.02785937786102295, + "mean_token_accuracy": 0.9886827927082777, + "num_tokens": 8926336.0, + "step": 1680 + }, + { + "entropy": 0.025899743908667006, + "epoch": 0.18224455611390286, + "grad_norm": 1.265625, + "learning_rate": 1.881086255471001e-05, + "loss": 0.026762637495994567, + "mean_token_accuracy": 0.9886533226817846, + "num_tokens": 9023646.0, + "step": 1700 + }, + { + "entropy": 0.028882844069084968, + "epoch": 0.18438860971524287, + "grad_norm": 1.5390625, + "learning_rate": 1.8777810686698266e-05, + "loss": 0.029647400975227355, + "mean_token_accuracy": 0.9875607810914516, + "num_tokens": 9127152.0, + "step": 1720 + }, + { + "entropy": 0.03044446731946664, + "epoch": 0.18653266331658291, + "grad_norm": 1.2265625, + "learning_rate": 1.8744335621252766e-05, + "loss": 0.031170135736465453, + "mean_token_accuracy": 0.9866547036916018, + "num_tokens": 9234279.0, + "step": 1740 + }, + { + "entropy": 0.029704924078851037, + "epoch": 0.18867671691792295, + "grad_norm": 1.546875, + "learning_rate": 1.8710438972279572e-05, + "loss": 0.030961766839027405, + "mean_token_accuracy": 0.9872025232762098, + "num_tokens": 9348546.0, + "step": 1760 + }, + { + "entropy": 0.026529241763273603, + "epoch": 0.190820770519263, + "grad_norm": 2.828125, + "learning_rate": 1.867612237401019e-05, + "loss": 0.026679041981697082, + "mean_token_accuracy": 0.9885351285338402, + "num_tokens": 9455489.0, + "step": 1780 + }, + { + "entropy": 0.028892852607532403, + "epoch": 0.192964824120603, + "grad_norm": 4.03125, + "learning_rate": 1.8641387480922816e-05, + "loss": 0.03060615360736847, + "mean_token_accuracy": 0.9880913089960813, + "num_tokens": 9561715.0, + "step": 1800 + }, + { + "entropy": 0.03127149782612833, + "epoch": 0.19510887772194305, + "grad_norm": 1.4375, + "learning_rate": 1.860623596766254e-05, + "loss": 0.03185727298259735, + "mean_token_accuracy": 0.9862949691712857, + "num_tokens": 9671395.0, + "step": 1820 + }, + { + "entropy": 0.030052698707368108, + "epoch": 0.1972529313232831, + "grad_norm": 1.7265625, + "learning_rate": 1.8570669528960627e-05, + "loss": 0.030486562848091127, + "mean_token_accuracy": 0.9874879900366068, + "num_tokens": 9772135.0, + "step": 1840 + }, + { + "entropy": 0.028759777540108188, + "epoch": 0.19939698492462313, + "grad_norm": 1.5546875, + "learning_rate": 1.8534689879552806e-05, + "loss": 0.02927035093307495, + "mean_token_accuracy": 0.9883296392858029, + "num_tokens": 9875332.0, + "step": 1860 + }, + { + "entropy": 0.026194313674932346, + "epoch": 0.20154103852596314, + "grad_norm": 1.2421875, + "learning_rate": 1.8498298754096597e-05, + "loss": 0.027384281158447266, + "mean_token_accuracy": 0.9899293314665556, + "num_tokens": 9975866.0, + "step": 1880 + }, + { + "entropy": 0.030918022169134928, + "epoch": 0.20368509212730318, + "grad_norm": 1.7421875, + "learning_rate": 1.8461497907087672e-05, + "loss": 0.03030203580856323, + "mean_token_accuracy": 0.9866726931184531, + "num_tokens": 10091897.0, + "step": 1900 + }, + { + "entropy": 0.02552133451026748, + "epoch": 0.20582914572864322, + "grad_norm": 1.1875, + "learning_rate": 1.8424289112775284e-05, + "loss": 0.027020731568336488, + "mean_token_accuracy": 0.9879696272313595, + "num_tokens": 10189590.0, + "step": 1920 + }, + { + "entropy": 0.026746707828442594, + "epoch": 0.20797319932998326, + "grad_norm": 3.59375, + "learning_rate": 1.8386674165076706e-05, + "loss": 0.026832282543182373, + "mean_token_accuracy": 0.9871037002652884, + "num_tokens": 10290612.0, + "step": 1940 + }, + { + "entropy": 0.023915313509087356, + "epoch": 0.21011725293132327, + "grad_norm": 3.75, + "learning_rate": 1.8348654877490765e-05, + "loss": 0.03067324459552765, + "mean_token_accuracy": 0.9885836262255907, + "num_tokens": 10400962.0, + "step": 1960 + }, + { + "entropy": 0.027086517597672354, + "epoch": 0.2122613065326633, + "grad_norm": 2.078125, + "learning_rate": 1.831023308301039e-05, + "loss": 0.028256928920745848, + "mean_token_accuracy": 0.9885173581540585, + "num_tokens": 10506362.0, + "step": 1980 + }, + { + "entropy": 0.02741672217816813, + "epoch": 0.21440536013400335, + "grad_norm": 0.9140625, + "learning_rate": 1.827141063403425e-05, + "loss": 0.02612453103065491, + "mean_token_accuracy": 0.9899405423551798, + "num_tokens": 10614125.0, + "step": 2000 + }, + { + "epoch": 0.21440536013400335, + "eval_entropy": 0.024848208941170014, + "eval_loss": 0.026614099740982056, + "eval_mean_token_accuracy": 0.9895401794115702, + "eval_num_tokens": 10614125.0, + "eval_runtime": 20.3696, + "eval_samples_per_second": 36.82, + "eval_steps_per_second": 18.41, + "step": 2000 + }, + { + "entropy": 0.024184393659743363, + "epoch": 0.2165494137353434, + "grad_norm": 1.1015625, + "learning_rate": 1.8232189402277446e-05, + "loss": 0.029155582189559937, + "mean_token_accuracy": 0.9877722147852183, + "num_tokens": 10718545.0, + "step": 2020 + }, + { + "entropy": 0.026252732726061368, + "epoch": 0.2186934673366834, + "grad_norm": 1.8046875, + "learning_rate": 1.8192571278681253e-05, + "loss": 0.026098987460136412, + "mean_token_accuracy": 0.9895182501524686, + "num_tokens": 10826477.0, + "step": 2040 + }, + { + "entropy": 0.025545999853238754, + "epoch": 0.22083752093802345, + "grad_norm": 2.234375, + "learning_rate": 1.8152558173321987e-05, + "loss": 0.026094555854797363, + "mean_token_accuracy": 0.9890841003507376, + "num_tokens": 10925874.0, + "step": 2060 + }, + { + "entropy": 0.026384522972375635, + "epoch": 0.2229815745393635, + "grad_norm": 2.40625, + "learning_rate": 1.8112152015318894e-05, + "loss": 0.029251503944396972, + "mean_token_accuracy": 0.9880545783787966, + "num_tokens": 11033510.0, + "step": 2080 + }, + { + "entropy": 0.025210863275060547, + "epoch": 0.22512562814070353, + "grad_norm": 2.703125, + "learning_rate": 1.8071354752741137e-05, + "loss": 0.027124592661857606, + "mean_token_accuracy": 0.9892004739493132, + "num_tokens": 11137817.0, + "step": 2100 + }, + { + "entropy": 0.027089714014164202, + "epoch": 0.22726968174204354, + "grad_norm": 1.7578125, + "learning_rate": 1.8030168352513894e-05, + "loss": 0.026511949300765992, + "mean_token_accuracy": 0.9889535740017891, + "num_tokens": 11245185.0, + "step": 2120 + }, + { + "entropy": 0.024535768478563112, + "epoch": 0.22941373534338358, + "grad_norm": 4.625, + "learning_rate": 1.7988594800323515e-05, + "loss": 0.02658265233039856, + "mean_token_accuracy": 0.9905748564749957, + "num_tokens": 11349330.0, + "step": 2140 + }, + { + "entropy": 0.02754759546187415, + "epoch": 0.23155778894472362, + "grad_norm": 1.9609375, + "learning_rate": 1.7946636100521798e-05, + "loss": 0.027984172105789185, + "mean_token_accuracy": 0.9884784188121557, + "num_tokens": 11461079.0, + "step": 2160 + }, + { + "entropy": 0.025805097624288464, + "epoch": 0.23370184254606366, + "grad_norm": 2.078125, + "learning_rate": 1.7904294276029346e-05, + "loss": 0.026595547795295715, + "mean_token_accuracy": 0.9894516475498676, + "num_tokens": 11563866.0, + "step": 2180 + }, + { + "entropy": 0.026482580404353938, + "epoch": 0.23584589614740367, + "grad_norm": 2.765625, + "learning_rate": 1.7861571368238035e-05, + "loss": 0.02969781160354614, + "mean_token_accuracy": 0.9875592797994613, + "num_tokens": 11669471.0, + "step": 2200 + }, + { + "entropy": 0.028677671598052255, + "epoch": 0.2379899497487437, + "grad_norm": 2.21875, + "learning_rate": 1.7818469436912605e-05, + "loss": 0.02763218283653259, + "mean_token_accuracy": 0.9888417005538941, + "num_tokens": 11768609.0, + "step": 2220 + }, + { + "entropy": 0.026651295177725843, + "epoch": 0.24013400335008375, + "grad_norm": 1.859375, + "learning_rate": 1.7774990560091356e-05, + "loss": 0.02962457537651062, + "mean_token_accuracy": 0.9879184097051621, + "num_tokens": 11880854.0, + "step": 2240 + }, + { + "entropy": 0.02831397352310887, + "epoch": 0.2422780569514238, + "grad_norm": 1.8984375, + "learning_rate": 1.773113683398593e-05, + "loss": 0.0296058714389801, + "mean_token_accuracy": 0.9883440136909485, + "num_tokens": 11986546.0, + "step": 2260 + }, + { + "entropy": 0.0280173282616488, + "epoch": 0.24442211055276383, + "grad_norm": 1.9609375, + "learning_rate": 1.76869103728803e-05, + "loss": 0.026104235649108888, + "mean_token_accuracy": 0.9899998947978019, + "num_tokens": 12089099.0, + "step": 2280 + }, + { + "entropy": 0.027054303306613292, + "epoch": 0.24656616415410385, + "grad_norm": 1.7734375, + "learning_rate": 1.7642313309028798e-05, + "loss": 0.029236692190170287, + "mean_token_accuracy": 0.988573432713747, + "num_tokens": 12198358.0, + "step": 2300 + }, + { + "entropy": 0.025954095610904913, + "epoch": 0.24871021775544389, + "grad_norm": 2.53125, + "learning_rate": 1.7597347792553313e-05, + "loss": 0.02622365057468414, + "mean_token_accuracy": 0.9882505975663662, + "num_tokens": 12310140.0, + "step": 2320 + }, + { + "entropy": 0.02558089109697903, + "epoch": 0.2508542713567839, + "grad_norm": 2.5625, + "learning_rate": 1.7552015991339655e-05, + "loss": 0.025320738554000854, + "mean_token_accuracy": 0.9904545627534389, + "num_tokens": 12413395.0, + "step": 2340 + }, + { + "entropy": 0.02581585149782768, + "epoch": 0.25299832495812397, + "grad_norm": 1.59375, + "learning_rate": 1.7506320090933012e-05, + "loss": 0.02813691198825836, + "mean_token_accuracy": 0.9890731148421764, + "num_tokens": 12517491.0, + "step": 2360 + }, + { + "entropy": 0.029305921567720362, + "epoch": 0.255142378559464, + "grad_norm": 1.46875, + "learning_rate": 1.74602622944326e-05, + "loss": 0.030352601408958436, + "mean_token_accuracy": 0.9881349734961986, + "num_tokens": 12627025.0, + "step": 2380 + }, + { + "entropy": 0.026154012439656073, + "epoch": 0.25728643216080405, + "grad_norm": 2.03125, + "learning_rate": 1.7413844822385423e-05, + "loss": 0.0258339524269104, + "mean_token_accuracy": 0.9894504573196172, + "num_tokens": 12726236.0, + "step": 2400 + }, + { + "entropy": 0.024479785768926378, + "epoch": 0.25943048576214406, + "grad_norm": 2.046875, + "learning_rate": 1.736706991267924e-05, + "loss": 0.027092832326889037, + "mean_token_accuracy": 0.9882367230951786, + "num_tokens": 12834614.0, + "step": 2420 + }, + { + "entropy": 0.02744944194200798, + "epoch": 0.26157453936348407, + "grad_norm": 2.734375, + "learning_rate": 1.7319939820434656e-05, + "loss": 0.026963105797767638, + "mean_token_accuracy": 0.9900378599762917, + "num_tokens": 12940452.0, + "step": 2440 + }, + { + "entropy": 0.02669895636208821, + "epoch": 0.26371859296482414, + "grad_norm": 6.9375, + "learning_rate": 1.72724568178964e-05, + "loss": 0.02737392783164978, + "mean_token_accuracy": 0.9884641785174608, + "num_tokens": 13038623.0, + "step": 2460 + }, + { + "entropy": 0.02623358482396725, + "epoch": 0.26586264656616415, + "grad_norm": 1.65625, + "learning_rate": 1.7224623194323785e-05, + "loss": 0.026823097467422487, + "mean_token_accuracy": 0.9890745796263218, + "num_tokens": 13145771.0, + "step": 2480 + }, + { + "entropy": 0.02654599146626424, + "epoch": 0.26800670016750416, + "grad_norm": 2.125, + "learning_rate": 1.717644125588032e-05, + "loss": 0.02797144651412964, + "mean_token_accuracy": 0.9888463616371155, + "num_tokens": 13258191.0, + "step": 2500 + }, + { + "epoch": 0.26800670016750416, + "eval_entropy": 0.02707736179015289, + "eval_loss": 0.024532999843358994, + "eval_mean_token_accuracy": 0.9901215243339538, + "eval_num_tokens": 13258191.0, + "eval_runtime": 20.2919, + "eval_samples_per_second": 36.961, + "eval_steps_per_second": 18.48, + "step": 2500 + }, + { + "entropy": 0.027981107782488836, + "epoch": 0.27015075376884423, + "grad_norm": 2.140625, + "learning_rate": 1.7127913325522546e-05, + "loss": 0.027564391493797302, + "mean_token_accuracy": 0.9884749103337527, + "num_tokens": 13360032.0, + "step": 2520 + }, + { + "entropy": 0.024831563800216828, + "epoch": 0.27229480737018424, + "grad_norm": 2.625, + "learning_rate": 1.7079041742888023e-05, + "loss": 0.027046608924865722, + "mean_token_accuracy": 0.9889734648168087, + "num_tokens": 13459997.0, + "step": 2540 + }, + { + "entropy": 0.025509285347288822, + "epoch": 0.2744388609715243, + "grad_norm": 2.875, + "learning_rate": 1.702982886418254e-05, + "loss": 0.026221618056297302, + "mean_token_accuracy": 0.9900430839508771, + "num_tokens": 13562047.0, + "step": 2560 + }, + { + "entropy": 0.02474073741786924, + "epoch": 0.2765829145728643, + "grad_norm": 2.875, + "learning_rate": 1.6980277062066513e-05, + "loss": 0.02481588125228882, + "mean_token_accuracy": 0.990446874499321, + "num_tokens": 13659557.0, + "step": 2580 + }, + { + "entropy": 0.026416731743847777, + "epoch": 0.27872696817420434, + "grad_norm": 1.7734375, + "learning_rate": 1.69303887255406e-05, + "loss": 0.026889228820800783, + "mean_token_accuracy": 0.9888020649552345, + "num_tokens": 13773310.0, + "step": 2600 + }, + { + "entropy": 0.0239254101291408, + "epoch": 0.2808710217755444, + "grad_norm": 1.4375, + "learning_rate": 1.6880166259830516e-05, + "loss": 0.02351238876581192, + "mean_token_accuracy": 0.9907949134707451, + "num_tokens": 13893984.0, + "step": 2620 + }, + { + "entropy": 0.02596387622606926, + "epoch": 0.2830150753768844, + "grad_norm": 1.859375, + "learning_rate": 1.682961208627108e-05, + "loss": 0.025493481755256654, + "mean_token_accuracy": 0.9891014736145735, + "num_tokens": 13994782.0, + "step": 2640 + }, + { + "entropy": 0.023969465121626853, + "epoch": 0.28515912897822443, + "grad_norm": 4.21875, + "learning_rate": 1.6778728642189456e-05, + "loss": 0.025132390856742858, + "mean_token_accuracy": 0.9904550548642874, + "num_tokens": 14106793.0, + "step": 2660 + }, + { + "entropy": 0.023048270364415657, + "epoch": 0.2873031825795645, + "grad_norm": 3.390625, + "learning_rate": 1.6727518380787678e-05, + "loss": 0.026464682817459107, + "mean_token_accuracy": 0.98928731828928, + "num_tokens": 14215090.0, + "step": 2680 + }, + { + "entropy": 0.024989640445710393, + "epoch": 0.2894472361809045, + "grad_norm": 1.0546875, + "learning_rate": 1.6675983771024345e-05, + "loss": 0.02458348125219345, + "mean_token_accuracy": 0.9901158206164837, + "num_tokens": 14321065.0, + "step": 2700 + }, + { + "entropy": 0.023273660653694607, + "epoch": 0.2915912897822446, + "grad_norm": 2.203125, + "learning_rate": 1.6624127297495606e-05, + "loss": 0.02475869804620743, + "mean_token_accuracy": 0.9907850239425897, + "num_tokens": 14421911.0, + "step": 2720 + }, + { + "entropy": 0.02422142572395387, + "epoch": 0.2937353433835846, + "grad_norm": 2.015625, + "learning_rate": 1.6571951460315362e-05, + "loss": 0.027780982851982116, + "mean_token_accuracy": 0.9886230506002903, + "num_tokens": 14529639.0, + "step": 2740 + }, + { + "entropy": 0.0267424136016416, + "epoch": 0.2958793969849246, + "grad_norm": 1.9765625, + "learning_rate": 1.6519458774994728e-05, + "loss": 0.026475533843040466, + "mean_token_accuracy": 0.9882622588425874, + "num_tokens": 14634262.0, + "step": 2760 + }, + { + "entropy": 0.023857305470937718, + "epoch": 0.29802345058626467, + "grad_norm": 2.390625, + "learning_rate": 1.646665177232077e-05, + "loss": 0.026801908016204835, + "mean_token_accuracy": 0.9902123864740133, + "num_tokens": 14739645.0, + "step": 2780 + }, + { + "entropy": 0.027312484692993168, + "epoch": 0.3001675041876047, + "grad_norm": 1.9765625, + "learning_rate": 1.6413532998234477e-05, + "loss": 0.027185559272766113, + "mean_token_accuracy": 0.9890467882156372, + "num_tokens": 14844155.0, + "step": 2800 + }, + { + "entropy": 0.02615051964248778, + "epoch": 0.3023115577889447, + "grad_norm": 1.859375, + "learning_rate": 1.6360105013708022e-05, + "loss": 0.02619759738445282, + "mean_token_accuracy": 0.9885728180408477, + "num_tokens": 14947978.0, + "step": 2820 + }, + { + "entropy": 0.023987949729507817, + "epoch": 0.30445561139028476, + "grad_norm": 1.2734375, + "learning_rate": 1.6306370394621274e-05, + "loss": 0.02713790535926819, + "mean_token_accuracy": 0.989062811806798, + "num_tokens": 15043851.0, + "step": 2840 + }, + { + "entropy": 0.024998777841574338, + "epoch": 0.3065996649916248, + "grad_norm": 2.59375, + "learning_rate": 1.625233173163765e-05, + "loss": 0.02687191665172577, + "mean_token_accuracy": 0.989005958288908, + "num_tokens": 15168916.0, + "step": 2860 + }, + { + "entropy": 0.025794855099957204, + "epoch": 0.30874371859296484, + "grad_norm": 1.296875, + "learning_rate": 1.619799163007916e-05, + "loss": 0.02666613459587097, + "mean_token_accuracy": 0.989616809785366, + "num_tokens": 15283048.0, + "step": 2880 + }, + { + "entropy": 0.023574712648041896, + "epoch": 0.31088777219430486, + "grad_norm": 1.2578125, + "learning_rate": 1.6143352709800847e-05, + "loss": 0.022058571875095367, + "mean_token_accuracy": 0.9904920358210803, + "num_tokens": 15401868.0, + "step": 2900 + }, + { + "entropy": 0.02349452629246116, + "epoch": 0.31303182579564487, + "grad_norm": 2.375, + "learning_rate": 1.6088417605064453e-05, + "loss": 0.025521630048751832, + "mean_token_accuracy": 0.9904454626142979, + "num_tokens": 15512377.0, + "step": 2920 + }, + { + "entropy": 0.024990445605726563, + "epoch": 0.31517587939698494, + "grad_norm": 1.7734375, + "learning_rate": 1.6033188964411407e-05, + "loss": 0.027597138285636903, + "mean_token_accuracy": 0.9910409476608038, + "num_tokens": 15626267.0, + "step": 2940 + }, + { + "entropy": 0.022828791862048094, + "epoch": 0.31731993299832495, + "grad_norm": 3.65625, + "learning_rate": 1.5977669450535164e-05, + "loss": 0.023614174127578734, + "mean_token_accuracy": 0.9908586539328098, + "num_tokens": 15732131.0, + "step": 2960 + }, + { + "entropy": 0.025171676824174937, + "epoch": 0.319463986599665, + "grad_norm": 1.0546875, + "learning_rate": 1.5921861740152803e-05, + "loss": 0.029384702444076538, + "mean_token_accuracy": 0.9898778181523085, + "num_tokens": 15827873.0, + "step": 2980 + }, + { + "entropy": 0.025553616087654517, + "epoch": 0.32160804020100503, + "grad_norm": 1.8828125, + "learning_rate": 1.586576852387599e-05, + "loss": 0.022602304816246033, + "mean_token_accuracy": 0.9912034373730421, + "num_tokens": 15920514.0, + "step": 3000 + }, + { + "epoch": 0.32160804020100503, + "eval_entropy": 0.024538942879318106, + "eval_loss": 0.02338256873190403, + "eval_mean_token_accuracy": 0.9907407927513122, + "eval_num_tokens": 15920514.0, + "eval_runtime": 20.2778, + "eval_samples_per_second": 36.986, + "eval_steps_per_second": 18.493, + "step": 3000 + }, + { + "entropy": 0.021682905555485375, + "epoch": 0.32375209380234504, + "grad_norm": 2.46875, + "learning_rate": 1.5809392506081244e-05, + "loss": 0.022935517132282257, + "mean_token_accuracy": 0.9904364123940468, + "num_tokens": 16035334.0, + "step": 3020 + }, + { + "entropy": 0.01898658178452024, + "epoch": 0.3258961474036851, + "grad_norm": 1.6796875, + "learning_rate": 1.5752736404779577e-05, + "loss": 0.02092217206954956, + "mean_token_accuracy": 0.984833637624979, + "num_tokens": 16140327.0, + "step": 3040 + }, + { + "entropy": 0.021216248062864908, + "epoch": 0.3280402010050251, + "grad_norm": 2.3125, + "learning_rate": 1.5695802951485434e-05, + "loss": 0.024958278238773345, + "mean_token_accuracy": 0.9900662276893855, + "num_tokens": 16255099.0, + "step": 3060 + }, + { + "entropy": 0.023438269265625422, + "epoch": 0.33018425460636514, + "grad_norm": 1.7421875, + "learning_rate": 1.5638594891085e-05, + "loss": 0.024300065636634827, + "mean_token_accuracy": 0.9898340333253145, + "num_tokens": 16366533.0, + "step": 3080 + }, + { + "entropy": 0.02112419887921533, + "epoch": 0.3323283082077052, + "grad_norm": 1.5078125, + "learning_rate": 1.5581114981703878e-05, + "loss": 0.02245298624038696, + "mean_token_accuracy": 0.9914943426847458, + "num_tokens": 16469428.0, + "step": 3100 + }, + { + "entropy": 0.023446582856286112, + "epoch": 0.3344723618090452, + "grad_norm": 2.78125, + "learning_rate": 1.5523365994574098e-05, + "loss": 0.024820271134376525, + "mean_token_accuracy": 0.990750040858984, + "num_tokens": 16582498.0, + "step": 3120 + }, + { + "entropy": 0.022754177751903627, + "epoch": 0.3366164154103853, + "grad_norm": 1.8203125, + "learning_rate": 1.546535071390052e-05, + "loss": 0.025619438290596007, + "mean_token_accuracy": 0.9895062685012818, + "num_tokens": 16693045.0, + "step": 3140 + }, + { + "entropy": 0.023310942134048673, + "epoch": 0.3387604690117253, + "grad_norm": 2.546875, + "learning_rate": 1.540707193672659e-05, + "loss": 0.02326971888542175, + "mean_token_accuracy": 0.9908227741718292, + "num_tokens": 16796636.0, + "step": 3160 + }, + { + "entropy": 0.02383078648617811, + "epoch": 0.3409045226130653, + "grad_norm": 3.390625, + "learning_rate": 1.53485324727995e-05, + "loss": 0.025269970297813416, + "mean_token_accuracy": 0.9894092302769423, + "num_tokens": 16908823.0, + "step": 3180 + }, + { + "entropy": 0.025040690238802198, + "epoch": 0.3430485762144054, + "grad_norm": 2.515625, + "learning_rate": 1.5289735144434733e-05, + "loss": 0.025703960657119752, + "mean_token_accuracy": 0.9828102149069309, + "num_tokens": 17011175.0, + "step": 3200 + }, + { + "entropy": 0.0229463691044657, + "epoch": 0.3451926298157454, + "grad_norm": 3.9375, + "learning_rate": 1.5230682786379958e-05, + "loss": 0.0237918958067894, + "mean_token_accuracy": 0.9901813805103302, + "num_tokens": 17118025.0, + "step": 3220 + }, + { + "entropy": 0.02446629966070759, + "epoch": 0.3473366834170854, + "grad_norm": 1.3359375, + "learning_rate": 1.5171378245678398e-05, + "loss": 0.025769346952438356, + "mean_token_accuracy": 0.988752768561244, + "num_tokens": 17225787.0, + "step": 3240 + }, + { + "entropy": 0.023929561218301386, + "epoch": 0.34948073701842547, + "grad_norm": 2.890625, + "learning_rate": 1.5111824381531543e-05, + "loss": 0.02350829541683197, + "mean_token_accuracy": 0.9899691499769687, + "num_tokens": 17326334.0, + "step": 3260 + }, + { + "entropy": 0.023094384433488813, + "epoch": 0.3516247906197655, + "grad_norm": 1.3125, + "learning_rate": 1.5052024065161321e-05, + "loss": 0.025211021304130554, + "mean_token_accuracy": 0.989602592214942, + "num_tokens": 17427911.0, + "step": 3280 + }, + { + "entropy": 0.02580152012506005, + "epoch": 0.35376884422110555, + "grad_norm": 0.88671875, + "learning_rate": 1.4991980179671656e-05, + "loss": 0.028021180629730226, + "mean_token_accuracy": 0.9875154685229063, + "num_tokens": 17535492.0, + "step": 3300 + }, + { + "entropy": 0.025954745234002985, + "epoch": 0.35591289782244556, + "grad_norm": 1.46875, + "learning_rate": 1.4931695619909466e-05, + "loss": 0.023851674795150758, + "mean_token_accuracy": 0.9898436293005943, + "num_tokens": 17641670.0, + "step": 3320 + }, + { + "entropy": 0.024273743057074172, + "epoch": 0.3580569514237856, + "grad_norm": 1.7109375, + "learning_rate": 1.4871173292325106e-05, + "loss": 0.02511066496372223, + "mean_token_accuracy": 0.989355530589819, + "num_tokens": 17742555.0, + "step": 3340 + }, + { + "entropy": 0.02353285207400404, + "epoch": 0.36020100502512564, + "grad_norm": 1.4921875, + "learning_rate": 1.4810416114832236e-05, + "loss": 0.02515583038330078, + "mean_token_accuracy": 0.9906750213354826, + "num_tokens": 17848901.0, + "step": 3360 + }, + { + "entropy": 0.022243685176727014, + "epoch": 0.36234505862646565, + "grad_norm": 2.453125, + "learning_rate": 1.474942701666715e-05, + "loss": 0.02309694290161133, + "mean_token_accuracy": 0.9912830431014299, + "num_tokens": 17955457.0, + "step": 3380 + }, + { + "entropy": 0.022329559885474737, + "epoch": 0.3644891122278057, + "grad_norm": 1.6171875, + "learning_rate": 1.4688208938247535e-05, + "loss": 0.024044957756996155, + "mean_token_accuracy": 0.9913502413779497, + "num_tokens": 18054439.0, + "step": 3400 + }, + { + "entropy": 0.023860087489720173, + "epoch": 0.36663316582914574, + "grad_norm": 1.84375, + "learning_rate": 1.462676483103072e-05, + "loss": 0.023865839838981627, + "mean_token_accuracy": 0.9902952261269092, + "num_tokens": 18159108.0, + "step": 3420 + }, + { + "entropy": 0.021247414961362666, + "epoch": 0.36877721943048575, + "grad_norm": 1.8359375, + "learning_rate": 1.4565097657371378e-05, + "loss": 0.021402713656425477, + "mean_token_accuracy": 0.9921348176896572, + "num_tokens": 18268330.0, + "step": 3440 + }, + { + "entropy": 0.021685771951888456, + "epoch": 0.3709212730318258, + "grad_norm": 1.2109375, + "learning_rate": 1.4503210390378701e-05, + "loss": 0.026408180594444275, + "mean_token_accuracy": 0.9894901543855668, + "num_tokens": 18376382.0, + "step": 3460 + }, + { + "entropy": 0.025453939728959086, + "epoch": 0.37306532663316583, + "grad_norm": 2.09375, + "learning_rate": 1.444110601377306e-05, + "loss": 0.026739346981048583, + "mean_token_accuracy": 0.9884634926915169, + "num_tokens": 18489633.0, + "step": 3480 + }, + { + "entropy": 0.02501170370624095, + "epoch": 0.37520938023450584, + "grad_norm": 2.03125, + "learning_rate": 1.437878752174216e-05, + "loss": 0.02536824345588684, + "mean_token_accuracy": 0.9898253668099641, + "num_tokens": 18597861.0, + "step": 3500 + }, + { + "epoch": 0.37520938023450584, + "eval_entropy": 0.0244218321183871, + "eval_loss": 0.02227754145860672, + "eval_mean_token_accuracy": 0.9911262426376343, + "eval_num_tokens": 18597861.0, + "eval_runtime": 20.324, + "eval_samples_per_second": 36.902, + "eval_steps_per_second": 18.451, + "step": 3500 + }, + { + "entropy": 0.0246668197542931, + "epoch": 0.3773534338358459, + "grad_norm": 1.7421875, + "learning_rate": 1.4316257918796671e-05, + "loss": 0.025204175710678102, + "mean_token_accuracy": 0.99043660312891, + "num_tokens": 18697672.0, + "step": 3520 + }, + { + "entropy": 0.022950895108533587, + "epoch": 0.3794974874371859, + "grad_norm": 1.828125, + "learning_rate": 1.4253520219625387e-05, + "loss": 0.02428869903087616, + "mean_token_accuracy": 0.9907822337001562, + "num_tokens": 18811789.0, + "step": 3540 + }, + { + "entropy": 0.023854929314802577, + "epoch": 0.381641541038526, + "grad_norm": 1.9609375, + "learning_rate": 1.4190577448949876e-05, + "loss": 0.023869043588638304, + "mean_token_accuracy": 0.9913762111216784, + "num_tokens": 18911590.0, + "step": 3560 + }, + { + "entropy": 0.024182767125876126, + "epoch": 0.383785594639866, + "grad_norm": 2.546875, + "learning_rate": 1.4127432641378649e-05, + "loss": 0.023478889465332033, + "mean_token_accuracy": 0.9907276172190904, + "num_tokens": 19026734.0, + "step": 3580 + }, + { + "entropy": 0.020359245626377743, + "epoch": 0.385929648241206, + "grad_norm": 1.6640625, + "learning_rate": 1.4064088841260857e-05, + "loss": 0.023241102695465088, + "mean_token_accuracy": 0.9907599698752165, + "num_tokens": 19129417.0, + "step": 3600 + }, + { + "entropy": 0.021383443258810076, + "epoch": 0.3880737018425461, + "grad_norm": 1.3203125, + "learning_rate": 1.4000549102539516e-05, + "loss": 0.023419806361198427, + "mean_token_accuracy": 0.990417006239295, + "num_tokens": 19235205.0, + "step": 3620 + }, + { + "entropy": 0.020958786468827383, + "epoch": 0.3902177554438861, + "grad_norm": 1.046875, + "learning_rate": 1.3936816488604273e-05, + "loss": 0.02310475558042526, + "mean_token_accuracy": 0.991861392185092, + "num_tokens": 19333977.0, + "step": 3640 + }, + { + "entropy": 0.022316582887765436, + "epoch": 0.3923618090452261, + "grad_norm": 2.84375, + "learning_rate": 1.3872894072143708e-05, + "loss": 0.02316024452447891, + "mean_token_accuracy": 0.9916662760078907, + "num_tokens": 19433681.0, + "step": 3660 + }, + { + "entropy": 0.023413096193553428, + "epoch": 0.3945058626465662, + "grad_norm": 1.765625, + "learning_rate": 1.3808784934997199e-05, + "loss": 0.026311498880386353, + "mean_token_accuracy": 0.9898762315511703, + "num_tokens": 19543600.0, + "step": 3680 + }, + { + "entropy": 0.02430928884550667, + "epoch": 0.3966499162479062, + "grad_norm": 1.640625, + "learning_rate": 1.3744492168006332e-05, + "loss": 0.023604103922843934, + "mean_token_accuracy": 0.9905571412295103, + "num_tokens": 19656000.0, + "step": 3700 + }, + { + "entropy": 0.02260660900547009, + "epoch": 0.39879396984924625, + "grad_norm": 2.078125, + "learning_rate": 1.368001887086589e-05, + "loss": 0.024041768908500672, + "mean_token_accuracy": 0.9895115055143833, + "num_tokens": 19756250.0, + "step": 3720 + }, + { + "entropy": 0.02264130887056126, + "epoch": 0.40093802345058627, + "grad_norm": 1.625, + "learning_rate": 1.361536815197441e-05, + "loss": 0.025104725360870363, + "mean_token_accuracy": 0.9906443733721971, + "num_tokens": 19878359.0, + "step": 3740 + }, + { + "entropy": 0.023430266666673562, + "epoch": 0.4030820770519263, + "grad_norm": 1.65625, + "learning_rate": 1.3550543128284323e-05, + "loss": 0.024283410608768465, + "mean_token_accuracy": 0.9907973647117615, + "num_tokens": 19972202.0, + "step": 3760 + }, + { + "entropy": 0.02248989698346122, + "epoch": 0.40522613065326635, + "grad_norm": 1.4609375, + "learning_rate": 1.348554692515167e-05, + "loss": 0.02604263722896576, + "mean_token_accuracy": 0.9889465566724539, + "num_tokens": 20076482.0, + "step": 3780 + }, + { + "entropy": 0.02452128016102506, + "epoch": 0.40737018425460636, + "grad_norm": 1.703125, + "learning_rate": 1.3420382676185421e-05, + "loss": 0.025164645910263062, + "mean_token_accuracy": 0.9902698881924152, + "num_tokens": 20186450.0, + "step": 3800 + }, + { + "entropy": 0.024925458200004868, + "epoch": 0.4095142378559464, + "grad_norm": 1.921875, + "learning_rate": 1.335505352309642e-05, + "loss": 0.025616466999053955, + "mean_token_accuracy": 0.989701810106635, + "num_tokens": 20290995.0, + "step": 3820 + }, + { + "entropy": 0.022864083916329037, + "epoch": 0.41165829145728644, + "grad_norm": 1.8125, + "learning_rate": 1.3289562615545883e-05, + "loss": 0.02312360405921936, + "mean_token_accuracy": 0.9906341150403023, + "num_tokens": 20392839.0, + "step": 3840 + }, + { + "entropy": 0.022927879701637722, + "epoch": 0.41380234505862645, + "grad_norm": 1.2421875, + "learning_rate": 1.3223913110993576e-05, + "loss": 0.02285770922899246, + "mean_token_accuracy": 0.9910362754017115, + "num_tokens": 20499794.0, + "step": 3860 + }, + { + "entropy": 0.02117061285384807, + "epoch": 0.4159463986599665, + "grad_norm": 11.0, + "learning_rate": 1.3158108174545556e-05, + "loss": 0.021062937378883363, + "mean_token_accuracy": 0.9917857561260461, + "num_tokens": 20612104.0, + "step": 3880 + }, + { + "entropy": 0.02190584047739321, + "epoch": 0.41809045226130653, + "grad_norm": 2.625, + "learning_rate": 1.3092150978801605e-05, + "loss": 0.023377425968647003, + "mean_token_accuracy": 0.9904357828199863, + "num_tokens": 20723068.0, + "step": 3900 + }, + { + "entropy": 0.02153953154429473, + "epoch": 0.42023450586264655, + "grad_norm": 2.703125, + "learning_rate": 1.3026044703702249e-05, + "loss": 0.023467777669429778, + "mean_token_accuracy": 0.9905689381062984, + "num_tokens": 20826557.0, + "step": 3920 + }, + { + "entropy": 0.02152182651061594, + "epoch": 0.4223785594639866, + "grad_norm": 1.671875, + "learning_rate": 1.2959792536375471e-05, + "loss": 0.020291084051132204, + "mean_token_accuracy": 0.992015489563346, + "num_tokens": 20929814.0, + "step": 3940 + }, + { + "entropy": 0.02025915689789599, + "epoch": 0.4245226130653266, + "grad_norm": 1.7421875, + "learning_rate": 1.2893397670983022e-05, + "loss": 0.020092053711414336, + "mean_token_accuracy": 0.9926223222166299, + "num_tokens": 21032536.0, + "step": 3960 + }, + { + "entropy": 0.019897875330707394, + "epoch": 0.4266666666666667, + "grad_norm": 2.46875, + "learning_rate": 1.2826863308566437e-05, + "loss": 0.022923128306865694, + "mean_token_accuracy": 0.9915768329054118, + "num_tokens": 21125010.0, + "step": 3980 + }, + { + "entropy": 0.020706827863295984, + "epoch": 0.4288107202680067, + "grad_norm": 1.9140625, + "learning_rate": 1.2760192656892723e-05, + "loss": 0.022419747710227967, + "mean_token_accuracy": 0.9913075774908066, + "num_tokens": 21242867.0, + "step": 4000 + }, + { + "epoch": 0.4288107202680067, + "eval_entropy": 0.01964530904859809, + "eval_loss": 0.02178012579679489, + "eval_mean_token_accuracy": 0.9911314179102579, + "eval_num_tokens": 21242867.0, + "eval_runtime": 20.3146, + "eval_samples_per_second": 36.919, + "eval_steps_per_second": 18.46, + "step": 4000 + }, + { + "entropy": 0.02013387772437909, + "epoch": 0.4309547738693467, + "grad_norm": 1.5078125, + "learning_rate": 1.2693388930299672e-05, + "loss": 0.021522065997123717, + "mean_token_accuracy": 0.9929842289537192, + "num_tokens": 21346530.0, + "step": 4020 + }, + { + "entropy": 0.0202242263831522, + "epoch": 0.4330988274706868, + "grad_norm": 2.828125, + "learning_rate": 1.2626455349540918e-05, + "loss": 0.022661156952381134, + "mean_token_accuracy": 0.9919143192470073, + "num_tokens": 21458250.0, + "step": 4040 + }, + { + "entropy": 0.022103192698341444, + "epoch": 0.4352428810720268, + "grad_norm": 1.3671875, + "learning_rate": 1.2559395141630656e-05, + "loss": 0.02430972158908844, + "mean_token_accuracy": 0.9904460556805134, + "num_tokens": 21563008.0, + "step": 4060 + }, + { + "entropy": 0.02260455262266987, + "epoch": 0.4373869346733668, + "grad_norm": 1.4609375, + "learning_rate": 1.2492211539688036e-05, + "loss": 0.025785067677497865, + "mean_token_accuracy": 0.9895172834396362, + "num_tokens": 21668155.0, + "step": 4080 + }, + { + "entropy": 0.02297381363787281, + "epoch": 0.4395309882747069, + "grad_norm": 2.203125, + "learning_rate": 1.2424907782781313e-05, + "loss": 0.024609476327896118, + "mean_token_accuracy": 0.990400804951787, + "num_tokens": 21784031.0, + "step": 4100 + }, + { + "entropy": 0.022381592743295188, + "epoch": 0.4416750418760469, + "grad_norm": 1.609375, + "learning_rate": 1.2357487115771673e-05, + "loss": 0.023763097822666168, + "mean_token_accuracy": 0.99109130166471, + "num_tokens": 21893847.0, + "step": 4120 + }, + { + "entropy": 0.022086531718105106, + "epoch": 0.44381909547738696, + "grad_norm": 2.0, + "learning_rate": 1.2289952789156798e-05, + "loss": 0.020330893993377685, + "mean_token_accuracy": 0.9921020328998565, + "num_tokens": 22005454.0, + "step": 4140 + }, + { + "entropy": 0.02248057241056358, + "epoch": 0.445963149078727, + "grad_norm": 1.609375, + "learning_rate": 1.222230805891414e-05, + "loss": 0.02294687330722809, + "mean_token_accuracy": 0.9910975113511086, + "num_tokens": 22107232.0, + "step": 4160 + }, + { + "entropy": 0.02265706049165601, + "epoch": 0.448107202680067, + "grad_norm": 3.90625, + "learning_rate": 1.215455618634396e-05, + "loss": 0.025840884447097777, + "mean_token_accuracy": 0.9897211868315935, + "num_tokens": 22217548.0, + "step": 4180 + }, + { + "entropy": 0.02281195720179312, + "epoch": 0.45025125628140705, + "grad_norm": 3.1875, + "learning_rate": 1.2086700437912077e-05, + "loss": 0.024470710754394533, + "mean_token_accuracy": 0.9903297979384661, + "num_tokens": 22328036.0, + "step": 4200 + }, + { + "entropy": 0.02147264582108619, + "epoch": 0.45239530988274707, + "grad_norm": 1.6328125, + "learning_rate": 1.2018744085092399e-05, + "loss": 0.021890904009342193, + "mean_token_accuracy": 0.9921745974570513, + "num_tokens": 22439360.0, + "step": 4220 + }, + { + "entropy": 0.021090176403095028, + "epoch": 0.4545393634840871, + "grad_norm": 1.6171875, + "learning_rate": 1.1950690404209186e-05, + "loss": 0.022462236881256103, + "mean_token_accuracy": 0.992034525051713, + "num_tokens": 22543357.0, + "step": 4240 + }, + { + "entropy": 0.022680416493108167, + "epoch": 0.45668341708542715, + "grad_norm": 1.328125, + "learning_rate": 1.1882542676279098e-05, + "loss": 0.02402680218219757, + "mean_token_accuracy": 0.9908802334219218, + "num_tokens": 22650751.0, + "step": 4260 + }, + { + "entropy": 0.0232969627111288, + "epoch": 0.45882747068676716, + "grad_norm": 2.96875, + "learning_rate": 1.1814304186853009e-05, + "loss": 0.022290503978729247, + "mean_token_accuracy": 0.991101274266839, + "num_tokens": 22753548.0, + "step": 4280 + }, + { + "entropy": 0.021912004817795604, + "epoch": 0.4609715242881072, + "grad_norm": 3.359375, + "learning_rate": 1.1745978225857609e-05, + "loss": 0.022448597848415373, + "mean_token_accuracy": 0.9917845461517573, + "num_tokens": 22861310.0, + "step": 4300 + }, + { + "entropy": 0.021719314875508645, + "epoch": 0.46311557788944724, + "grad_norm": 2.046875, + "learning_rate": 1.1677568087436767e-05, + "loss": 0.023140157759189605, + "mean_token_accuracy": 0.9908079355955124, + "num_tokens": 22978927.0, + "step": 4320 + }, + { + "entropy": 0.021950446777191247, + "epoch": 0.46525963149078725, + "grad_norm": 2.203125, + "learning_rate": 1.1609077069792754e-05, + "loss": 0.0213756799697876, + "mean_token_accuracy": 0.9913494195789099, + "num_tokens": 23082226.0, + "step": 4340 + }, + { + "entropy": 0.02140526709590631, + "epoch": 0.4674036850921273, + "grad_norm": 2.15625, + "learning_rate": 1.1540508475027179e-05, + "loss": 0.020155489444732666, + "mean_token_accuracy": 0.9919397257268429, + "num_tokens": 23180655.0, + "step": 4360 + }, + { + "entropy": 0.017593615273926843, + "epoch": 0.46954773869346733, + "grad_norm": 1.75, + "learning_rate": 1.147186560898183e-05, + "loss": 0.02236589938402176, + "mean_token_accuracy": 0.9917930167168378, + "num_tokens": 23283721.0, + "step": 4380 + }, + { + "entropy": 0.020877945362190075, + "epoch": 0.47169179229480734, + "grad_norm": 1.625, + "learning_rate": 1.1403151781079278e-05, + "loss": 0.022862054407596588, + "mean_token_accuracy": 0.9906388968229294, + "num_tokens": 23390288.0, + "step": 4400 + }, + { + "entropy": 0.01995794570948419, + "epoch": 0.4738358458961474, + "grad_norm": 2.109375, + "learning_rate": 1.1334370304163306e-05, + "loss": 0.02168610394001007, + "mean_token_accuracy": 0.9925977524369956, + "num_tokens": 23485464.0, + "step": 4420 + }, + { + "entropy": 0.01932002087028195, + "epoch": 0.4759798994974874, + "grad_norm": 1.6796875, + "learning_rate": 1.1265524494339219e-05, + "loss": 0.02263712286949158, + "mean_token_accuracy": 0.9910555865615607, + "num_tokens": 23585708.0, + "step": 4440 + }, + { + "entropy": 0.021627131735112926, + "epoch": 0.4781239530988275, + "grad_norm": 2.140625, + "learning_rate": 1.1196617670813936e-05, + "loss": 0.022156818211078642, + "mean_token_accuracy": 0.9912719707936049, + "num_tokens": 23693455.0, + "step": 4460 + }, + { + "entropy": 0.02139281702184235, + "epoch": 0.4802680067001675, + "grad_norm": 2.1875, + "learning_rate": 1.1127653155735993e-05, + "loss": 0.022481553256511688, + "mean_token_accuracy": 0.9902749702334404, + "num_tokens": 23800058.0, + "step": 4480 + }, + { + "entropy": 0.02091277845497643, + "epoch": 0.4824120603015075, + "grad_norm": 2.328125, + "learning_rate": 1.1058634274035361e-05, + "loss": 0.02205648124217987, + "mean_token_accuracy": 0.9916612818837166, + "num_tokens": 23910439.0, + "step": 4500 + }, + { + "epoch": 0.4824120603015075, + "eval_entropy": 0.021846828331123107, + "eval_loss": 0.02092284895479679, + "eval_mean_token_accuracy": 0.9913039420445761, + "eval_num_tokens": 23910439.0, + "eval_runtime": 20.2669, + "eval_samples_per_second": 37.006, + "eval_steps_per_second": 18.503, + "step": 4500 + }, + { + "entropy": 0.021989129094345118, + "epoch": 0.4845561139028476, + "grad_norm": 1.765625, + "learning_rate": 1.0989564353263133e-05, + "loss": 0.02231614738702774, + "mean_token_accuracy": 0.9905249148607254, + "num_tokens": 24019503.0, + "step": 4520 + }, + { + "entropy": 0.02183805209115235, + "epoch": 0.4867001675041876, + "grad_norm": 2.3125, + "learning_rate": 1.0920446723431127e-05, + "loss": 0.02185622453689575, + "mean_token_accuracy": 0.9918582946062088, + "num_tokens": 24124480.0, + "step": 4540 + }, + { + "entropy": 0.02131056402449758, + "epoch": 0.48884422110552767, + "grad_norm": 1.3203125, + "learning_rate": 1.0851284716851295e-05, + "loss": 0.022905312478542328, + "mean_token_accuracy": 0.9910277899354696, + "num_tokens": 24230705.0, + "step": 4560 + }, + { + "entropy": 0.023312085462430333, + "epoch": 0.4909882747068677, + "grad_norm": 1.8828125, + "learning_rate": 1.0782081667975106e-05, + "loss": 0.022799497842788695, + "mean_token_accuracy": 0.9904710713773965, + "num_tokens": 24335812.0, + "step": 4580 + }, + { + "entropy": 0.02137677239184086, + "epoch": 0.4931323283082077, + "grad_norm": 1.34375, + "learning_rate": 1.0712840913232768e-05, + "loss": 0.02341741919517517, + "mean_token_accuracy": 0.9909932963550091, + "num_tokens": 24444839.0, + "step": 4600 + }, + { + "entropy": 0.022716682115378715, + "epoch": 0.49527638190954776, + "grad_norm": 1.484375, + "learning_rate": 1.0643565790872359e-05, + "loss": 0.02410309910774231, + "mean_token_accuracy": 0.9909039065241814, + "num_tokens": 24545937.0, + "step": 4620 + }, + { + "entropy": 0.022203819393803316, + "epoch": 0.49742043551088777, + "grad_norm": 1.8515625, + "learning_rate": 1.0574259640798908e-05, + "loss": 0.022010770440101624, + "mean_token_accuracy": 0.9920209400355816, + "num_tokens": 24647974.0, + "step": 4640 + }, + { + "entropy": 0.02109122319297967, + "epoch": 0.4995644891122278, + "grad_norm": 1.3359375, + "learning_rate": 1.0504925804413348e-05, + "loss": 0.02280532568693161, + "mean_token_accuracy": 0.9912972040474415, + "num_tokens": 24752530.0, + "step": 4660 + }, + { + "entropy": 0.022384429502744753, + "epoch": 0.5017085427135678, + "grad_norm": 2.390625, + "learning_rate": 1.0435567624451435e-05, + "loss": 0.027354520559310914, + "mean_token_accuracy": 0.98953907340765, + "num_tokens": 24854708.0, + "step": 4680 + }, + { + "entropy": 0.02178340100826972, + "epoch": 0.5038525963149079, + "grad_norm": 2.046875, + "learning_rate": 1.0366188444822577e-05, + "loss": 0.02108224630355835, + "mean_token_accuracy": 0.991971093788743, + "num_tokens": 24951913.0, + "step": 4700 + }, + { + "entropy": 0.0228582585350523, + "epoch": 0.5059966499162479, + "grad_norm": 1.578125, + "learning_rate": 1.0296791610448634e-05, + "loss": 0.02327609956264496, + "mean_token_accuracy": 0.9911777719855308, + "num_tokens": 25057377.0, + "step": 4720 + }, + { + "entropy": 0.022045019802681053, + "epoch": 0.5081407035175879, + "grad_norm": 1.1953125, + "learning_rate": 1.0227380467102627e-05, + "loss": 0.023243658244609833, + "mean_token_accuracy": 0.9909518156200647, + "num_tokens": 25170778.0, + "step": 4740 + }, + { + "entropy": 0.01989219032784604, + "epoch": 0.510284757118928, + "grad_norm": 5.03125, + "learning_rate": 1.0157958361247448e-05, + "loss": 0.020330929756164552, + "mean_token_accuracy": 0.9921452704817056, + "num_tokens": 25284310.0, + "step": 4760 + }, + { + "entropy": 0.021722077413278383, + "epoch": 0.512428810720268, + "grad_norm": 1.6015625, + "learning_rate": 1.0088528639874516e-05, + "loss": 0.02167322486639023, + "mean_token_accuracy": 0.9913335714489222, + "num_tokens": 25392904.0, + "step": 4780 + }, + { + "entropy": 0.022090970205681515, + "epoch": 0.5145728643216081, + "grad_norm": 1.390625, + "learning_rate": 1.0019094650342409e-05, + "loss": 0.023602089285850524, + "mean_token_accuracy": 0.9912930846214294, + "num_tokens": 25505548.0, + "step": 4800 + }, + { + "entropy": 0.021318517662666635, + "epoch": 0.516716917922948, + "grad_norm": 1.8046875, + "learning_rate": 9.94965974021548e-06, + "loss": 0.021860493719577788, + "mean_token_accuracy": 0.9906282421201468, + "num_tokens": 25616943.0, + "step": 4820 + }, + { + "entropy": 0.020716092844122614, + "epoch": 0.5188609715242881, + "grad_norm": 1.7109375, + "learning_rate": 9.880227257102483e-06, + "loss": 0.021078214049339294, + "mean_token_accuracy": 0.9921130206435919, + "num_tokens": 25727510.0, + "step": 4840 + }, + { + "entropy": 0.02081386552129061, + "epoch": 0.5210050251256282, + "grad_norm": 2.203125, + "learning_rate": 9.810800548495132e-06, + "loss": 0.019788502156734465, + "mean_token_accuracy": 0.9920309089124203, + "num_tokens": 25831138.0, + "step": 4860 + }, + { + "entropy": 0.020538337337939083, + "epoch": 0.5231490787269681, + "grad_norm": 3.671875, + "learning_rate": 9.741382961606768e-06, + "loss": 0.021504290401935577, + "mean_token_accuracy": 0.9916285052895546, + "num_tokens": 25938256.0, + "step": 4880 + }, + { + "entropy": 0.02026532054192103, + "epoch": 0.5252931323283082, + "grad_norm": 2.015625, + "learning_rate": 9.671977843210928e-06, + "loss": 0.022037246823310853, + "mean_token_accuracy": 0.9909355752170086, + "num_tokens": 26045653.0, + "step": 4900 + }, + { + "entropy": 0.021552794340914262, + "epoch": 0.5274371859296483, + "grad_norm": 1.9453125, + "learning_rate": 9.602588539480037e-06, + "loss": 0.024588188529014586, + "mean_token_accuracy": 0.9902191430330276, + "num_tokens": 26147507.0, + "step": 4920 + }, + { + "entropy": 0.02167862878472988, + "epoch": 0.5295812395309882, + "grad_norm": 1.9921875, + "learning_rate": 9.533218395824046e-06, + "loss": 0.023571619391441347, + "mean_token_accuracy": 0.9900527201592922, + "num_tokens": 26257125.0, + "step": 4940 + }, + { + "entropy": 0.02021576279623787, + "epoch": 0.5317252931323283, + "grad_norm": 2.1875, + "learning_rate": 9.463870756729163e-06, + "loss": 0.019122126698493957, + "mean_token_accuracy": 0.992604573443532, + "num_tokens": 26364694.0, + "step": 4960 + }, + { + "entropy": 0.019900748710369953, + "epoch": 0.5338693467336684, + "grad_norm": 2.0625, + "learning_rate": 9.394548965596609e-06, + "loss": 0.01807314157485962, + "mean_token_accuracy": 0.9929017867892981, + "num_tokens": 26473983.0, + "step": 4980 + }, + { + "entropy": 0.0207442283473938, + "epoch": 0.5360134003350083, + "grad_norm": 1.4375, + "learning_rate": 9.325256364581403e-06, + "loss": 0.022004596889019012, + "mean_token_accuracy": 0.9910150520503521, + "num_tokens": 26586291.0, + "step": 5000 + }, + { + "epoch": 0.5360134003350083, + "eval_entropy": 0.020443486923235468, + "eval_loss": 0.01984340138733387, + "eval_mean_token_accuracy": 0.9918238368034363, + "eval_num_tokens": 26586291.0, + "eval_runtime": 20.253, + "eval_samples_per_second": 37.032, + "eval_steps_per_second": 18.516, + "step": 5000 + }, + { + "entropy": 0.02020404681409218, + "epoch": 0.5381574539363484, + "grad_norm": 2.546875, + "learning_rate": 9.255996294431251e-06, + "loss": 0.018390218913555145, + "mean_token_accuracy": 0.992999167367816, + "num_tokens": 26704783.0, + "step": 5020 + }, + { + "entropy": 0.01915527433520765, + "epoch": 0.5403015075376885, + "grad_norm": 2.078125, + "learning_rate": 9.186772094325482e-06, + "loss": 0.02050086110830307, + "mean_token_accuracy": 0.991879815980792, + "num_tokens": 26801816.0, + "step": 5040 + }, + { + "entropy": 0.01799158312455802, + "epoch": 0.5424455611390284, + "grad_norm": 1.828125, + "learning_rate": 9.117587101714046e-06, + "loss": 0.02155505567789078, + "mean_token_accuracy": 0.9908429838716983, + "num_tokens": 26908853.0, + "step": 5060 + }, + { + "entropy": 0.020375365777476874, + "epoch": 0.5445896147403685, + "grad_norm": 1.75, + "learning_rate": 9.048444652156607e-06, + "loss": 0.022749082744121553, + "mean_token_accuracy": 0.991591277718544, + "num_tokens": 27027467.0, + "step": 5080 + }, + { + "entropy": 0.01897250141009863, + "epoch": 0.5467336683417086, + "grad_norm": 1.9375, + "learning_rate": 8.979348079161753e-06, + "loss": 0.021764059364795686, + "mean_token_accuracy": 0.9915874369442463, + "num_tokens": 27140253.0, + "step": 5100 + }, + { + "entropy": 0.020416706607784364, + "epoch": 0.5488777219430486, + "grad_norm": 1.515625, + "learning_rate": 8.910300714026242e-06, + "loss": 0.019444821774959563, + "mean_token_accuracy": 0.9921912178397179, + "num_tokens": 27250990.0, + "step": 5120 + }, + { + "entropy": 0.019052070355746763, + "epoch": 0.5510217755443886, + "grad_norm": 0.79296875, + "learning_rate": 8.841305885674431e-06, + "loss": 0.0189539834856987, + "mean_token_accuracy": 0.994080551713705, + "num_tokens": 27355412.0, + "step": 5140 + }, + { + "entropy": 0.019072407830481097, + "epoch": 0.5531658291457286, + "grad_norm": 2.125, + "learning_rate": 8.772366920497754e-06, + "loss": 0.022655683755874633, + "mean_token_accuracy": 0.9920244321227074, + "num_tokens": 27451798.0, + "step": 5160 + }, + { + "entropy": 0.0204707554947845, + "epoch": 0.5553098827470687, + "grad_norm": 1.765625, + "learning_rate": 8.70348714219436e-06, + "loss": 0.02314187288284302, + "mean_token_accuracy": 0.9906669486314058, + "num_tokens": 27566715.0, + "step": 5180 + }, + { + "entropy": 0.01811999880219446, + "epoch": 0.5574539363484087, + "grad_norm": 1.375, + "learning_rate": 8.634669871608879e-06, + "loss": 0.021425962448120117, + "mean_token_accuracy": 0.9925322774797678, + "num_tokens": 27659771.0, + "step": 5200 + }, + { + "entropy": 0.02080239012641414, + "epoch": 0.5595979899497487, + "grad_norm": 1.921875, + "learning_rate": 8.565918426572287e-06, + "loss": 0.021234531700611115, + "mean_token_accuracy": 0.9914034195244312, + "num_tokens": 27774261.0, + "step": 5220 + }, + { + "entropy": 0.018487965166877986, + "epoch": 0.5617420435510888, + "grad_norm": 1.7421875, + "learning_rate": 8.497236121741988e-06, + "loss": 0.020122981071472167, + "mean_token_accuracy": 0.9918253514915705, + "num_tokens": 27873405.0, + "step": 5240 + }, + { + "entropy": 0.020079654125311208, + "epoch": 0.5638860971524288, + "grad_norm": 1.875, + "learning_rate": 8.42862626844198e-06, + "loss": 0.0222967728972435, + "mean_token_accuracy": 0.9918321210891008, + "num_tokens": 27980906.0, + "step": 5260 + }, + { + "entropy": 0.02020533189497655, + "epoch": 0.5660301507537688, + "grad_norm": 2.046875, + "learning_rate": 8.3600921745032e-06, + "loss": 0.02204359769821167, + "mean_token_accuracy": 0.9903446055948735, + "num_tokens": 28085101.0, + "step": 5280 + }, + { + "entropy": 0.019518600214541947, + "epoch": 0.5681742043551089, + "grad_norm": 1.140625, + "learning_rate": 8.291637144104084e-06, + "loss": 0.02309599071741104, + "mean_token_accuracy": 0.9912882562726736, + "num_tokens": 28193879.0, + "step": 5300 + }, + { + "entropy": 0.02015163512619438, + "epoch": 0.5703182579564489, + "grad_norm": 1.828125, + "learning_rate": 8.223264477611218e-06, + "loss": 0.020999400317668913, + "mean_token_accuracy": 0.9915294233709574, + "num_tokens": 28296254.0, + "step": 5320 + }, + { + "entropy": 0.02264108727913481, + "epoch": 0.5724623115577889, + "grad_norm": 1.609375, + "learning_rate": 8.154977471420266e-06, + "loss": 0.02454686313867569, + "mean_token_accuracy": 0.9913088951259852, + "num_tokens": 28409744.0, + "step": 5340 + }, + { + "entropy": 0.02133122851785174, + "epoch": 0.574606365159129, + "grad_norm": 1.078125, + "learning_rate": 8.086779417797005e-06, + "loss": 0.018969587981700897, + "mean_token_accuracy": 0.9918996881693601, + "num_tokens": 28523944.0, + "step": 5360 + }, + { + "entropy": 0.020475312656594725, + "epoch": 0.5767504187604691, + "grad_norm": 2.578125, + "learning_rate": 8.018673604718621e-06, + "loss": 0.020480218529701232, + "mean_token_accuracy": 0.9909398626536131, + "num_tokens": 28620491.0, + "step": 5380 + }, + { + "entropy": 0.02034863719095483, + "epoch": 0.578894472361809, + "grad_norm": 2.3125, + "learning_rate": 7.950663315715189e-06, + "loss": 0.020605732500553132, + "mean_token_accuracy": 0.991118798777461, + "num_tokens": 28724436.0, + "step": 5400 + }, + { + "entropy": 0.019775752684540748, + "epoch": 0.5810385259631491, + "grad_norm": 3.78125, + "learning_rate": 7.882751829711343e-06, + "loss": 0.017187023162841798, + "mean_token_accuracy": 0.9925138726830482, + "num_tokens": 28834817.0, + "step": 5420 + }, + { + "entropy": 0.020291093751802693, + "epoch": 0.5831825795644892, + "grad_norm": 2.59375, + "learning_rate": 7.814942420868225e-06, + "loss": 0.02155611515045166, + "mean_token_accuracy": 0.9925528045743703, + "num_tokens": 28949852.0, + "step": 5440 + }, + { + "entropy": 0.020088849540070442, + "epoch": 0.5853266331658291, + "grad_norm": 1.4765625, + "learning_rate": 7.747238358425603e-06, + "loss": 0.021509405970573426, + "mean_token_accuracy": 0.9916152823716402, + "num_tokens": 29053126.0, + "step": 5460 + }, + { + "entropy": 0.02078960820804241, + "epoch": 0.5874706867671692, + "grad_norm": 1.6953125, + "learning_rate": 7.679642906544268e-06, + "loss": 0.022637182474136354, + "mean_token_accuracy": 0.9910664647817612, + "num_tokens": 29173776.0, + "step": 5480 + }, + { + "entropy": 0.019441102636301368, + "epoch": 0.5896147403685092, + "grad_norm": 3.515625, + "learning_rate": 7.6121593241486644e-06, + "loss": 0.021338345110416414, + "mean_token_accuracy": 0.9917159400880337, + "num_tokens": 29278255.0, + "step": 5500 + }, + { + "epoch": 0.5896147403685092, + "eval_entropy": 0.019579512438397312, + "eval_loss": 0.019862476736307144, + "eval_mean_token_accuracy": 0.9916693598429362, + "eval_num_tokens": 29278255.0, + "eval_runtime": 20.2793, + "eval_samples_per_second": 36.984, + "eval_steps_per_second": 18.492, + "step": 5500 + }, + { + "entropy": 0.01876566273849676, + "epoch": 0.5917587939698492, + "grad_norm": 1.53125, + "learning_rate": 7.5447908647697506e-06, + "loss": 0.02028908282518387, + "mean_token_accuracy": 0.9926750350743532, + "num_tokens": 29377393.0, + "step": 5520 + }, + { + "entropy": 0.019120201245004863, + "epoch": 0.5939028475711893, + "grad_norm": 2.09375, + "learning_rate": 7.47754077638817e-06, + "loss": 0.02107948064804077, + "mean_token_accuracy": 0.9924666147679091, + "num_tokens": 29481829.0, + "step": 5540 + }, + { + "entropy": 0.019154090119650392, + "epoch": 0.5960469011725293, + "grad_norm": 1.65625, + "learning_rate": 7.410412301277628e-06, + "loss": 0.021442399919033052, + "mean_token_accuracy": 0.9915456175804138, + "num_tokens": 29577548.0, + "step": 5560 + }, + { + "entropy": 0.020240560936554176, + "epoch": 0.5981909547738693, + "grad_norm": 1.71875, + "learning_rate": 7.343408675848593e-06, + "loss": 0.022295641899108886, + "mean_token_accuracy": 0.9908768083900213, + "num_tokens": 29693831.0, + "step": 5580 + }, + { + "entropy": 0.018894769826965786, + "epoch": 0.6003350083752094, + "grad_norm": 2.203125, + "learning_rate": 7.27653313049226e-06, + "loss": 0.017608430981636048, + "mean_token_accuracy": 0.9934392455965281, + "num_tokens": 29807626.0, + "step": 5600 + }, + { + "entropy": 0.018964907280769695, + "epoch": 0.6024790619765494, + "grad_norm": 1.7890625, + "learning_rate": 7.209788889424797e-06, + "loss": 0.021428127586841584, + "mean_token_accuracy": 0.992251905053854, + "num_tokens": 29918699.0, + "step": 5620 + }, + { + "entropy": 0.019173358734906287, + "epoch": 0.6046231155778894, + "grad_norm": 2.03125, + "learning_rate": 7.143179170531917e-06, + "loss": 0.02228628993034363, + "mean_token_accuracy": 0.9917910866439342, + "num_tokens": 30012605.0, + "step": 5640 + }, + { + "entropy": 0.020879295714121327, + "epoch": 0.6067671691792295, + "grad_norm": 1.71875, + "learning_rate": 7.076707185213716e-06, + "loss": 0.023567219078540803, + "mean_token_accuracy": 0.9915827866643667, + "num_tokens": 30121162.0, + "step": 5660 + }, + { + "entropy": 0.021870423488599043, + "epoch": 0.6089112227805695, + "grad_norm": 2.09375, + "learning_rate": 7.010376138229848e-06, + "loss": 0.023693473637104036, + "mean_token_accuracy": 0.9895996507257223, + "num_tokens": 30224756.0, + "step": 5680 + }, + { + "entropy": 0.02007417911304401, + "epoch": 0.6110552763819096, + "grad_norm": 1.6484375, + "learning_rate": 6.944189227545035e-06, + "loss": 0.018479639291763307, + "mean_token_accuracy": 0.992578137665987, + "num_tokens": 30328568.0, + "step": 5700 + }, + { + "entropy": 0.02106366403361335, + "epoch": 0.6131993299832496, + "grad_norm": 3.3125, + "learning_rate": 6.878149644174868e-06, + "loss": 0.021388374269008636, + "mean_token_accuracy": 0.9912810981273651, + "num_tokens": 30433800.0, + "step": 5720 + }, + { + "entropy": 0.019824264124895307, + "epoch": 0.6153433835845896, + "grad_norm": 3.828125, + "learning_rate": 6.812260572031966e-06, + "loss": 0.019826412200927734, + "mean_token_accuracy": 0.9915285713970661, + "num_tokens": 30533876.0, + "step": 5740 + }, + { + "entropy": 0.019220966260763816, + "epoch": 0.6174874371859297, + "grad_norm": 2.3125, + "learning_rate": 6.74652518777247e-06, + "loss": 0.023332512378692626, + "mean_token_accuracy": 0.9904117193073034, + "num_tokens": 30640243.0, + "step": 5760 + }, + { + "entropy": 0.019488869791348406, + "epoch": 0.6196314907872696, + "grad_norm": 1.7734375, + "learning_rate": 6.680946660642893e-06, + "loss": 0.023433607816696168, + "mean_token_accuracy": 0.991485184058547, + "num_tokens": 30740058.0, + "step": 5780 + }, + { + "entropy": 0.02283499206282613, + "epoch": 0.6217755443886097, + "grad_norm": 1.9296875, + "learning_rate": 6.615528152327328e-06, + "loss": 0.024059185385704042, + "mean_token_accuracy": 0.9913460418581963, + "num_tokens": 30852207.0, + "step": 5800 + }, + { + "entropy": 0.020180349141332952, + "epoch": 0.6239195979899498, + "grad_norm": 3.109375, + "learning_rate": 6.550272816795006e-06, + "loss": 0.01820368319749832, + "mean_token_accuracy": 0.9933834221214056, + "num_tokens": 30953138.0, + "step": 5820 + }, + { + "entropy": 0.019724707261821094, + "epoch": 0.6260636515912897, + "grad_norm": 1.65625, + "learning_rate": 6.485183800148248e-06, + "loss": 0.020257289707660674, + "mean_token_accuracy": 0.9930203214287758, + "num_tokens": 31064272.0, + "step": 5840 + }, + { + "entropy": 0.01873356030444029, + "epoch": 0.6282077051926298, + "grad_norm": 3.484375, + "learning_rate": 6.420264240470771e-06, + "loss": 0.02272033840417862, + "mean_token_accuracy": 0.9918572433292866, + "num_tokens": 31172652.0, + "step": 5860 + }, + { + "entropy": 0.019832546763041137, + "epoch": 0.6303517587939699, + "grad_norm": 2.25, + "learning_rate": 6.355517267676398e-06, + "loss": 0.022037458419799805, + "mean_token_accuracy": 0.9914021987468005, + "num_tokens": 31285622.0, + "step": 5880 + }, + { + "entropy": 0.021016045037094956, + "epoch": 0.6324958123953098, + "grad_norm": 1.9375, + "learning_rate": 6.290946003358175e-06, + "loss": 0.02272486835718155, + "mean_token_accuracy": 0.9905358534306288, + "num_tokens": 31391456.0, + "step": 5900 + }, + { + "entropy": 0.018993245228944033, + "epoch": 0.6346398659966499, + "grad_norm": 2.515625, + "learning_rate": 6.226553560637847e-06, + "loss": 0.02007617652416229, + "mean_token_accuracy": 0.9922155175358057, + "num_tokens": 31496166.0, + "step": 5920 + }, + { + "entropy": 0.0195752263855411, + "epoch": 0.63678391959799, + "grad_norm": 2.125, + "learning_rate": 6.162343044015784e-06, + "loss": 0.02081257700920105, + "mean_token_accuracy": 0.9921386137604713, + "num_tokens": 31605934.0, + "step": 5940 + }, + { + "entropy": 0.019383694695488885, + "epoch": 0.63892797319933, + "grad_norm": 2.046875, + "learning_rate": 6.098317549221302e-06, + "loss": 0.02021864652633667, + "mean_token_accuracy": 0.9916181784123183, + "num_tokens": 31712938.0, + "step": 5960 + }, + { + "entropy": 0.01924167173308433, + "epoch": 0.64107202680067, + "grad_norm": 2.046875, + "learning_rate": 6.034480163063401e-06, + "loss": 0.018102942407131194, + "mean_token_accuracy": 0.9921923886984587, + "num_tokens": 31813225.0, + "step": 5980 + }, + { + "entropy": 0.018873273960889492, + "epoch": 0.6432160804020101, + "grad_norm": 1.5234375, + "learning_rate": 5.970833963281968e-06, + "loss": 0.018628720939159394, + "mean_token_accuracy": 0.9928794108331204, + "num_tokens": 31928881.0, + "step": 6000 + }, + { + "epoch": 0.6432160804020101, + "eval_entropy": 0.01981416783077293, + "eval_loss": 0.019560638815164566, + "eval_mean_token_accuracy": 0.9923082728385926, + "eval_num_tokens": 31928881.0, + "eval_runtime": 20.2811, + "eval_samples_per_second": 36.98, + "eval_steps_per_second": 18.49, + "step": 6000 + }, + { + "entropy": 0.020261389288043573, + "epoch": 0.6453601340033501, + "grad_norm": 1.3125, + "learning_rate": 5.9073820183993635e-06, + "loss": 0.022888460755348207, + "mean_token_accuracy": 0.9925485417246819, + "num_tokens": 32038408.0, + "step": 6020 + }, + { + "entropy": 0.02017652262293268, + "epoch": 0.6475041876046901, + "grad_norm": 1.6328125, + "learning_rate": 5.8441273875725e-06, + "loss": 0.020387469232082366, + "mean_token_accuracy": 0.9918923225253821, + "num_tokens": 32145003.0, + "step": 6040 + }, + { + "entropy": 0.01868033191105951, + "epoch": 0.6496482412060302, + "grad_norm": 3.375, + "learning_rate": 5.781073120445353e-06, + "loss": 0.02243368774652481, + "mean_token_accuracy": 0.9915057402104139, + "num_tokens": 32251639.0, + "step": 6060 + }, + { + "entropy": 0.017508955025914475, + "epoch": 0.6517922948073702, + "grad_norm": 2.140625, + "learning_rate": 5.71822225700192e-06, + "loss": 0.017190653085708617, + "mean_token_accuracy": 0.9927597284317017, + "num_tokens": 32352371.0, + "step": 6080 + }, + { + "entropy": 0.019111776090062448, + "epoch": 0.6539363484087102, + "grad_norm": 1.1328125, + "learning_rate": 5.655577827419661e-06, + "loss": 0.02137412428855896, + "mean_token_accuracy": 0.9919875215739011, + "num_tokens": 32454655.0, + "step": 6100 + }, + { + "entropy": 0.023027155749787198, + "epoch": 0.6560804020100502, + "grad_norm": 2.015625, + "learning_rate": 5.5931428519234145e-06, + "loss": 0.02286381125450134, + "mean_token_accuracy": 0.9909462627023459, + "num_tokens": 32559559.0, + "step": 6120 + }, + { + "entropy": 0.02029506681608382, + "epoch": 0.6582244556113903, + "grad_norm": 3.21875, + "learning_rate": 5.530920340639776e-06, + "loss": 0.02172601819038391, + "mean_token_accuracy": 0.99092488437891, + "num_tokens": 32658365.0, + "step": 6140 + }, + { + "entropy": 0.021070733480109995, + "epoch": 0.6603685092127303, + "grad_norm": 3.625, + "learning_rate": 5.468913293451979e-06, + "loss": 0.021482250094413756, + "mean_token_accuracy": 0.9916323244571685, + "num_tokens": 32764039.0, + "step": 6160 + }, + { + "entropy": 0.018422811868731515, + "epoch": 0.6625125628140703, + "grad_norm": 2.6875, + "learning_rate": 5.407124699855259e-06, + "loss": 0.01822958290576935, + "mean_token_accuracy": 0.9923275396227836, + "num_tokens": 32877996.0, + "step": 6180 + }, + { + "entropy": 0.01931439164168296, + "epoch": 0.6646566164154104, + "grad_norm": 2.296875, + "learning_rate": 5.34555753881273e-06, + "loss": 0.021021611988544464, + "mean_token_accuracy": 0.9911792669445276, + "num_tokens": 32986191.0, + "step": 6200 + }, + { + "entropy": 0.019900657032940215, + "epoch": 0.6668006700167505, + "grad_norm": 1.734375, + "learning_rate": 5.284214778611758e-06, + "loss": 0.021909794211387633, + "mean_token_accuracy": 0.9917173352092504, + "num_tokens": 33098196.0, + "step": 6220 + }, + { + "entropy": 0.022017163155032902, + "epoch": 0.6689447236180904, + "grad_norm": 2.5625, + "learning_rate": 5.2230993767208524e-06, + "loss": 0.02269018590450287, + "mean_token_accuracy": 0.9912259686738253, + "num_tokens": 33211358.0, + "step": 6240 + }, + { + "entropy": 0.019263985499833325, + "epoch": 0.6710887772194305, + "grad_norm": 1.5625, + "learning_rate": 5.162214279647082e-06, + "loss": 0.023519453406333924, + "mean_token_accuracy": 0.9909868344664574, + "num_tokens": 33314953.0, + "step": 6260 + }, + { + "entropy": 0.021732687100166004, + "epoch": 0.6732328308207706, + "grad_norm": 2.265625, + "learning_rate": 5.1015624227940195e-06, + "loss": 0.021917779743671418, + "mean_token_accuracy": 0.9901779539883137, + "num_tokens": 33428051.0, + "step": 6280 + }, + { + "entropy": 0.019478338875705957, + "epoch": 0.6753768844221105, + "grad_norm": 2.296875, + "learning_rate": 5.041146730320215e-06, + "loss": 0.01874311566352844, + "mean_token_accuracy": 0.9923384670168162, + "num_tokens": 33537514.0, + "step": 6300 + }, + { + "entropy": 0.018508305449995533, + "epoch": 0.6775209380234506, + "grad_norm": 3.125, + "learning_rate": 4.980970114998216e-06, + "loss": 0.021730564534664154, + "mean_token_accuracy": 0.9915897861123085, + "num_tokens": 33639522.0, + "step": 6320 + }, + { + "entropy": 0.019665157535450818, + "epoch": 0.6796649916247907, + "grad_norm": 2.625, + "learning_rate": 4.921035478074142e-06, + "loss": 0.020458599925041197, + "mean_token_accuracy": 0.9918417375534773, + "num_tokens": 33743819.0, + "step": 6340 + }, + { + "entropy": 0.020174525574702784, + "epoch": 0.6818090452261306, + "grad_norm": 8.5, + "learning_rate": 4.861345709127803e-06, + "loss": 0.019577798247337342, + "mean_token_accuracy": 0.9921597026288509, + "num_tokens": 33847282.0, + "step": 6360 + }, + { + "entropy": 0.020318039059475268, + "epoch": 0.6839530988274707, + "grad_norm": 1.953125, + "learning_rate": 4.801903685933389e-06, + "loss": 0.020683969557285308, + "mean_token_accuracy": 0.9917214840650559, + "num_tokens": 33953961.0, + "step": 6380 + }, + { + "entropy": 0.01895209533279285, + "epoch": 0.6860971524288108, + "grad_norm": 2.046875, + "learning_rate": 4.742712274320725e-06, + "loss": 0.020713077485561372, + "mean_token_accuracy": 0.9920912489295006, + "num_tokens": 34054466.0, + "step": 6400 + }, + { + "entropy": 0.021405872826358065, + "epoch": 0.6882412060301507, + "grad_norm": 2.015625, + "learning_rate": 4.683774328037108e-06, + "loss": 0.024052520096302033, + "mean_token_accuracy": 0.9902271404862404, + "num_tokens": 34162751.0, + "step": 6420 + }, + { + "entropy": 0.02056694905677432, + "epoch": 0.6903852596314908, + "grad_norm": 2.109375, + "learning_rate": 4.625092688609711e-06, + "loss": 0.021541555225849152, + "mean_token_accuracy": 0.9906902097165584, + "num_tokens": 34271073.0, + "step": 6440 + }, + { + "entropy": 0.01796177522041944, + "epoch": 0.6925293132328308, + "grad_norm": 1.421875, + "learning_rate": 4.566670185208599e-06, + "loss": 0.017521923780441283, + "mean_token_accuracy": 0.9920081544667483, + "num_tokens": 34379697.0, + "step": 6460 + }, + { + "entropy": 0.01806882056660015, + "epoch": 0.6946733668341708, + "grad_norm": 1.6953125, + "learning_rate": 4.5085096345103205e-06, + "loss": 0.018725714087486266, + "mean_token_accuracy": 0.9868147686123848, + "num_tokens": 34483763.0, + "step": 6480 + }, + { + "entropy": 0.019470379299946217, + "epoch": 0.6968174204355109, + "grad_norm": 1.9140625, + "learning_rate": 4.450613840562113e-06, + "loss": 0.017752458155155183, + "mean_token_accuracy": 0.9928225323557853, + "num_tokens": 34588293.0, + "step": 6500 + }, + { + "epoch": 0.6968174204355109, + "eval_entropy": 0.019607524218813826, + "eval_loss": 0.019470153376460075, + "eval_mean_token_accuracy": 0.9920525077184041, + "eval_num_tokens": 34588293.0, + "eval_runtime": 20.2964, + "eval_samples_per_second": 36.952, + "eval_steps_per_second": 18.476, + "step": 6500 + }, + { + "entropy": 0.01848742664128622, + "epoch": 0.6989614740368509, + "grad_norm": 2.671875, + "learning_rate": 4.392985594646711e-06, + "loss": 0.02162926346063614, + "mean_token_accuracy": 0.9913080882281065, + "num_tokens": 34689227.0, + "step": 6520 + }, + { + "entropy": 0.019617287777646198, + "epoch": 0.701105527638191, + "grad_norm": 1.4765625, + "learning_rate": 4.335627675147774e-06, + "loss": 0.02028166800737381, + "mean_token_accuracy": 0.9930087491869927, + "num_tokens": 34791268.0, + "step": 6540 + }, + { + "entropy": 0.01906899958651138, + "epoch": 0.703249581239531, + "grad_norm": 2.234375, + "learning_rate": 4.278542847415936e-06, + "loss": 0.019539786875247954, + "mean_token_accuracy": 0.9920954536646605, + "num_tokens": 34894826.0, + "step": 6560 + }, + { + "entropy": 0.0211970092474985, + "epoch": 0.705393634840871, + "grad_norm": 1.5, + "learning_rate": 4.221733863635479e-06, + "loss": 0.023706386983394622, + "mean_token_accuracy": 0.990295572206378, + "num_tokens": 35009299.0, + "step": 6580 + }, + { + "entropy": 0.021638639217917442, + "epoch": 0.7075376884422111, + "grad_norm": 1.59375, + "learning_rate": 4.165203462691645e-06, + "loss": 0.021413305401802064, + "mean_token_accuracy": 0.9913092136383057, + "num_tokens": 35116618.0, + "step": 6600 + }, + { + "entropy": 0.02009705953132652, + "epoch": 0.7096817420435511, + "grad_norm": 1.9296875, + "learning_rate": 4.1089543700385885e-06, + "loss": 0.023159290850162505, + "mean_token_accuracy": 0.9899264223873615, + "num_tokens": 35214619.0, + "step": 6620 + }, + { + "entropy": 0.020903292103525928, + "epoch": 0.7118257956448911, + "grad_norm": 2.8125, + "learning_rate": 4.0529892975679775e-06, + "loss": 0.02029138207435608, + "mean_token_accuracy": 0.9917101729661226, + "num_tokens": 35331847.0, + "step": 6640 + }, + { + "entropy": 0.019355950780254715, + "epoch": 0.7139698492462312, + "grad_norm": 2.25, + "learning_rate": 3.997310943478246e-06, + "loss": 0.022747300565242767, + "mean_token_accuracy": 0.9911560833454132, + "num_tokens": 35435144.0, + "step": 6660 + }, + { + "entropy": 0.019431080123217724, + "epoch": 0.7161139028475711, + "grad_norm": 2.46875, + "learning_rate": 3.941921992144509e-06, + "loss": 0.022220295667648316, + "mean_token_accuracy": 0.9914675705134869, + "num_tokens": 35540146.0, + "step": 6680 + }, + { + "entropy": 0.021516031174610362, + "epoch": 0.7182579564489112, + "grad_norm": 1.0078125, + "learning_rate": 3.886825113989142e-06, + "loss": 0.020635062456130983, + "mean_token_accuracy": 0.9917585879564286, + "num_tokens": 35652696.0, + "step": 6700 + }, + { + "entropy": 0.019729190898897287, + "epoch": 0.7204020100502513, + "grad_norm": 2.09375, + "learning_rate": 3.832022965353032e-06, + "loss": 0.019225403666496277, + "mean_token_accuracy": 0.9942506503313779, + "num_tokens": 35757381.0, + "step": 6720 + }, + { + "entropy": 0.020393153377153795, + "epoch": 0.7225460636515912, + "grad_norm": 5.96875, + "learning_rate": 3.777518188367517e-06, + "loss": 0.02378985732793808, + "mean_token_accuracy": 0.9912960890680551, + "num_tokens": 35865336.0, + "step": 6740 + }, + { + "entropy": 0.019717699302668736, + "epoch": 0.7246901172529313, + "grad_norm": 1.8515625, + "learning_rate": 3.723313410826992e-06, + "loss": 0.020520621538162233, + "mean_token_accuracy": 0.9927110608667136, + "num_tokens": 35969262.0, + "step": 6760 + }, + { + "entropy": 0.020156670222718276, + "epoch": 0.7268341708542714, + "grad_norm": 2.953125, + "learning_rate": 3.6694112460622267e-06, + "loss": 0.022173659503459932, + "mean_token_accuracy": 0.9913631960749626, + "num_tokens": 36078203.0, + "step": 6780 + }, + { + "entropy": 0.02017759628906788, + "epoch": 0.7289782244556114, + "grad_norm": 1.6328125, + "learning_rate": 3.615814292814367e-06, + "loss": 0.02243554890155792, + "mean_token_accuracy": 0.9910614918917418, + "num_tokens": 36179468.0, + "step": 6800 + }, + { + "entropy": 0.019291495129346005, + "epoch": 0.7311222780569514, + "grad_norm": 2.03125, + "learning_rate": 3.562525135109649e-06, + "loss": 0.021489365398883818, + "mean_token_accuracy": 0.992356463521719, + "num_tokens": 36287569.0, + "step": 6820 + }, + { + "entropy": 0.017877134253399162, + "epoch": 0.7332663316582915, + "grad_norm": 2.8125, + "learning_rate": 3.509546342134796e-06, + "loss": 0.01892261952161789, + "mean_token_accuracy": 0.9919790286570788, + "num_tokens": 36403262.0, + "step": 6840 + }, + { + "entropy": 0.01958747923711144, + "epoch": 0.7354103852596315, + "grad_norm": 3.3125, + "learning_rate": 3.4568804681131964e-06, + "loss": 0.019973862171173095, + "mean_token_accuracy": 0.9915773533284664, + "num_tokens": 36508584.0, + "step": 6860 + }, + { + "entropy": 0.019319427383879883, + "epoch": 0.7375544388609715, + "grad_norm": 2.296875, + "learning_rate": 3.4045300521817105e-06, + "loss": 0.02136710286140442, + "mean_token_accuracy": 0.9920724961906672, + "num_tokens": 36610038.0, + "step": 6880 + }, + { + "entropy": 0.020166188537677952, + "epoch": 0.7396984924623116, + "grad_norm": 1.9453125, + "learning_rate": 3.3524976182682843e-06, + "loss": 0.018660889565944673, + "mean_token_accuracy": 0.9929303977638483, + "num_tokens": 36708085.0, + "step": 6900 + }, + { + "entropy": 0.018660859293049725, + "epoch": 0.7418425460636516, + "grad_norm": 2.40625, + "learning_rate": 3.3007856749702573e-06, + "loss": 0.01911092400550842, + "mean_token_accuracy": 0.9929109118878842, + "num_tokens": 36809564.0, + "step": 6920 + }, + { + "entropy": 0.020304086872602056, + "epoch": 0.7439865996649916, + "grad_norm": 1.734375, + "learning_rate": 3.2493967154334016e-06, + "loss": 0.019811296463012697, + "mean_token_accuracy": 0.9924409098923206, + "num_tokens": 36912901.0, + "step": 6940 + }, + { + "entropy": 0.017767412251100723, + "epoch": 0.7461306532663317, + "grad_norm": 1.515625, + "learning_rate": 3.198333217231757e-06, + "loss": 0.016918018460273743, + "mean_token_accuracy": 0.9936570934951305, + "num_tokens": 37028495.0, + "step": 6960 + }, + { + "entropy": 0.01919960001034724, + "epoch": 0.7482747068676717, + "grad_norm": 1.78125, + "learning_rate": 3.1475976422481526e-06, + "loss": 0.018871791660785675, + "mean_token_accuracy": 0.9923384845256805, + "num_tokens": 37128754.0, + "step": 6980 + }, + { + "entropy": 0.01957385808059371, + "epoch": 0.7504187604690117, + "grad_norm": 2.515625, + "learning_rate": 3.0971924365555116e-06, + "loss": 0.018768243491649628, + "mean_token_accuracy": 0.9924201011657715, + "num_tokens": 37230511.0, + "step": 7000 + }, + { + "epoch": 0.7504187604690117, + "eval_entropy": 0.019512116880068788, + "eval_loss": 0.019492411985993385, + "eval_mean_token_accuracy": 0.9919790083567301, + "eval_num_tokens": 37230511.0, + "eval_runtime": 20.2777, + "eval_samples_per_second": 36.986, + "eval_steps_per_second": 18.493, + "step": 7000 + }, + { + "entropy": 0.018825849278618988, + "epoch": 0.7525628140703517, + "grad_norm": 2.265625, + "learning_rate": 3.0471200302989535e-06, + "loss": 0.020853203535079957, + "mean_token_accuracy": 0.9906294353306293, + "num_tokens": 37332200.0, + "step": 7020 + }, + { + "entropy": 0.019942389463130893, + "epoch": 0.7547068676716918, + "grad_norm": 2.203125, + "learning_rate": 2.9973828375785864e-06, + "loss": 0.018565280735492705, + "mean_token_accuracy": 0.9909187290817499, + "num_tokens": 37433333.0, + "step": 7040 + }, + { + "entropy": 0.020680780549423617, + "epoch": 0.7568509212730318, + "grad_norm": 1.3984375, + "learning_rate": 2.947983256333166e-06, + "loss": 0.022726891934871672, + "mean_token_accuracy": 0.9920847479254007, + "num_tokens": 37535155.0, + "step": 7060 + }, + { + "entropy": 0.01799933227546262, + "epoch": 0.7589949748743718, + "grad_norm": 2.375, + "learning_rate": 2.8989236682244372e-06, + "loss": 0.019517210125923157, + "mean_token_accuracy": 0.9922154374420643, + "num_tokens": 37642429.0, + "step": 7080 + }, + { + "entropy": 0.018576059823135437, + "epoch": 0.7611390284757119, + "grad_norm": 1.8671875, + "learning_rate": 2.8502064385223437e-06, + "loss": 0.02000274509191513, + "mean_token_accuracy": 0.9927195519208908, + "num_tokens": 37743382.0, + "step": 7100 + }, + { + "entropy": 0.01817750639111182, + "epoch": 0.763283082077052, + "grad_norm": 0.76953125, + "learning_rate": 2.8018339159909937e-06, + "loss": 0.018051585555076598, + "mean_token_accuracy": 0.9927114237099885, + "num_tokens": 37849802.0, + "step": 7120 + }, + { + "entropy": 0.01861468399677051, + "epoch": 0.7654271356783919, + "grad_norm": 2.453125, + "learning_rate": 2.7538084327753823e-06, + "loss": 0.020044369995594023, + "mean_token_accuracy": 0.9925104282796383, + "num_tokens": 37949510.0, + "step": 7140 + }, + { + "entropy": 0.01957492132596599, + "epoch": 0.767571189279732, + "grad_norm": 1.6640625, + "learning_rate": 2.706132304289012e-06, + "loss": 0.02030598223209381, + "mean_token_accuracy": 0.9924644228070975, + "num_tokens": 38056600.0, + "step": 7160 + }, + { + "entropy": 0.019891365615512767, + "epoch": 0.7697152428810721, + "grad_norm": 1.3046875, + "learning_rate": 2.6588078291022045e-06, + "loss": 0.020326973497867586, + "mean_token_accuracy": 0.9918508928269147, + "num_tokens": 38168190.0, + "step": 7180 + }, + { + "entropy": 0.01919556673688021, + "epoch": 0.771859296482412, + "grad_norm": 2.796875, + "learning_rate": 2.611837288831319e-06, + "loss": 0.02155778855085373, + "mean_token_accuracy": 0.9919852402061224, + "num_tokens": 38276246.0, + "step": 7200 + }, + { + "entropy": 0.019413144076725074, + "epoch": 0.7740033500837521, + "grad_norm": 5.8125, + "learning_rate": 2.565222948028746e-06, + "loss": 0.0233286514878273, + "mean_token_accuracy": 0.9901302725076675, + "num_tokens": 38380173.0, + "step": 7220 + }, + { + "entropy": 0.019048391740625448, + "epoch": 0.7761474036850922, + "grad_norm": 2.484375, + "learning_rate": 2.518967054073702e-06, + "loss": 0.01727575808763504, + "mean_token_accuracy": 0.9933784183114767, + "num_tokens": 38485326.0, + "step": 7240 + }, + { + "entropy": 0.018992443338993324, + "epoch": 0.7782914572864321, + "grad_norm": 1.765625, + "learning_rate": 2.473071837063921e-06, + "loss": 0.020196519792079926, + "mean_token_accuracy": 0.9929014749825, + "num_tokens": 38593033.0, + "step": 7260 + }, + { + "entropy": 0.01934261324011004, + "epoch": 0.7804355108877722, + "grad_norm": 2.078125, + "learning_rate": 2.427539509708092e-06, + "loss": 0.021069280803203583, + "mean_token_accuracy": 0.9920600451529026, + "num_tokens": 38695209.0, + "step": 7280 + }, + { + "entropy": 0.01937621497809232, + "epoch": 0.7825795644891123, + "grad_norm": 1.96875, + "learning_rate": 2.382372267219212e-06, + "loss": 0.02313290983438492, + "mean_token_accuracy": 0.9915325742214918, + "num_tokens": 38804750.0, + "step": 7300 + }, + { + "entropy": 0.02088976109387204, + "epoch": 0.7847236180904522, + "grad_norm": 3.390625, + "learning_rate": 2.3375722872087435e-06, + "loss": 0.02172703593969345, + "mean_token_accuracy": 0.9911188166588545, + "num_tokens": 38909561.0, + "step": 7320 + }, + { + "entropy": 0.019513376194367993, + "epoch": 0.7868676716917923, + "grad_norm": 1.6171875, + "learning_rate": 2.293141729581606e-06, + "loss": 0.020942328870296477, + "mean_token_accuracy": 0.9914060894399881, + "num_tokens": 39024348.0, + "step": 7340 + }, + { + "entropy": 0.019013147754321835, + "epoch": 0.7890117252931323, + "grad_norm": 3.03125, + "learning_rate": 2.24908273643208e-06, + "loss": 0.01895921677350998, + "mean_token_accuracy": 0.9920435093343258, + "num_tokens": 39123358.0, + "step": 7360 + }, + { + "entropy": 0.01850612224473025, + "epoch": 0.7911557788944724, + "grad_norm": 2.0625, + "learning_rate": 2.20539743194049e-06, + "loss": 0.020412975549697877, + "mean_token_accuracy": 0.992505956813693, + "num_tokens": 39222173.0, + "step": 7380 + }, + { + "entropy": 0.018990432533109926, + "epoch": 0.7932998324958124, + "grad_norm": 2.515625, + "learning_rate": 2.162087922270827e-06, + "loss": 0.019987034797668456, + "mean_token_accuracy": 0.9921554632484912, + "num_tokens": 39324555.0, + "step": 7400 + }, + { + "entropy": 0.020331120665650813, + "epoch": 0.7954438860971524, + "grad_norm": 2.59375, + "learning_rate": 2.119156295469188e-06, + "loss": 0.020988868176937105, + "mean_token_accuracy": 0.992167953774333, + "num_tokens": 39436930.0, + "step": 7420 + }, + { + "entropy": 0.01908351750444126, + "epoch": 0.7975879396984925, + "grad_norm": 2.140625, + "learning_rate": 2.0766046213631085e-06, + "loss": 0.02441962659358978, + "mean_token_accuracy": 0.9905336666852236, + "num_tokens": 39539754.0, + "step": 7440 + }, + { + "entropy": 0.01844053882264234, + "epoch": 0.7997319932998325, + "grad_norm": 1.4609375, + "learning_rate": 2.034434951461787e-06, + "loss": 0.021246211230754854, + "mean_token_accuracy": 0.9916405260562897, + "num_tokens": 39642853.0, + "step": 7460 + }, + { + "entropy": 0.019568845091521327, + "epoch": 0.8018760469011725, + "grad_norm": 2.234375, + "learning_rate": 1.992649318857145e-06, + "loss": 0.02266250252723694, + "mean_token_accuracy": 0.9901510171592236, + "num_tokens": 39753649.0, + "step": 7480 + }, + { + "entropy": 0.019649790661560473, + "epoch": 0.8040201005025126, + "grad_norm": 1.4296875, + "learning_rate": 1.951249738125841e-06, + "loss": 0.02106764316558838, + "mean_token_accuracy": 0.992297976091504, + "num_tokens": 39867091.0, + "step": 7500 + }, + { + "epoch": 0.8040201005025126, + "eval_entropy": 0.01951531241268579, + "eval_loss": 0.019423136487603188, + "eval_mean_token_accuracy": 0.9921902815500895, + "eval_num_tokens": 39867091.0, + "eval_runtime": 20.2653, + "eval_samples_per_second": 37.009, + "eval_steps_per_second": 18.504, + "step": 7500 + }, + { + "entropy": 0.01873672366637038, + "epoch": 0.8061641541038526, + "grad_norm": 2.515625, + "learning_rate": 1.9102382052321247e-06, + "loss": 0.02217361479997635, + "mean_token_accuracy": 0.991604308411479, + "num_tokens": 39975152.0, + "step": 7520 + }, + { + "entropy": 0.018056424487326694, + "epoch": 0.8083082077051926, + "grad_norm": 2.1875, + "learning_rate": 1.8696166974316098e-06, + "loss": 0.018713992834091187, + "mean_token_accuracy": 0.9923322558403015, + "num_tokens": 40073850.0, + "step": 7540 + }, + { + "entropy": 0.019656274415865482, + "epoch": 0.8104522613065327, + "grad_norm": 1.75, + "learning_rate": 1.829387173175957e-06, + "loss": 0.02295905351638794, + "mean_token_accuracy": 0.9911978255957365, + "num_tokens": 40174029.0, + "step": 7560 + }, + { + "entropy": 0.018212407533337683, + "epoch": 0.8125963149078727, + "grad_norm": 2.203125, + "learning_rate": 1.7895515720184298e-06, + "loss": 0.01762194335460663, + "mean_token_accuracy": 0.993547822907567, + "num_tokens": 40277338.0, + "step": 7580 + }, + { + "entropy": 0.019111268576693874, + "epoch": 0.8147403685092127, + "grad_norm": 3.078125, + "learning_rate": 1.7501118145204078e-06, + "loss": 0.02163155972957611, + "mean_token_accuracy": 0.9915014613419771, + "num_tokens": 40384919.0, + "step": 7600 + }, + { + "entropy": 0.020142577382034687, + "epoch": 0.8168844221105528, + "grad_norm": 2.1875, + "learning_rate": 1.71106980215878e-06, + "loss": 0.01972368061542511, + "mean_token_accuracy": 0.9922790337353945, + "num_tokens": 40491708.0, + "step": 7620 + }, + { + "entropy": 0.019609718415108546, + "epoch": 0.8190284757118927, + "grad_norm": 6.25, + "learning_rate": 1.6724274172342725e-06, + "loss": 0.023548129200935363, + "mean_token_accuracy": 0.991268851980567, + "num_tokens": 40604052.0, + "step": 7640 + }, + { + "entropy": 0.019134915648101013, + "epoch": 0.8211725293132328, + "grad_norm": 1.75, + "learning_rate": 1.6341865227807075e-06, + "loss": 0.019575177133083342, + "mean_token_accuracy": 0.992620923742652, + "num_tokens": 40712926.0, + "step": 7660 + }, + { + "entropy": 0.018662033730379335, + "epoch": 0.8233165829145729, + "grad_norm": 2.265625, + "learning_rate": 1.5963489624751595e-06, + "loss": 0.019268378615379333, + "mean_token_accuracy": 0.992533054947853, + "num_tokens": 40818181.0, + "step": 7680 + }, + { + "entropy": 0.019738298160768865, + "epoch": 0.825460636515913, + "grad_norm": 1.9921875, + "learning_rate": 1.5589165605490918e-06, + "loss": 0.018965110182762146, + "mean_token_accuracy": 0.9918511062860489, + "num_tokens": 40925382.0, + "step": 7700 + }, + { + "entropy": 0.01947517461164807, + "epoch": 0.8276046901172529, + "grad_norm": 2.046875, + "learning_rate": 1.5218911217003985e-06, + "loss": 0.02183605879545212, + "mean_token_accuracy": 0.9911946535110474, + "num_tokens": 41044722.0, + "step": 7720 + }, + { + "entropy": 0.019855259767928145, + "epoch": 0.829748743718593, + "grad_norm": 1.90625, + "learning_rate": 1.4852744310063893e-06, + "loss": 0.020095731317996978, + "mean_token_accuracy": 0.9914216987788678, + "num_tokens": 41163232.0, + "step": 7740 + }, + { + "entropy": 0.01931553952094873, + "epoch": 0.831892797319933, + "grad_norm": 2.703125, + "learning_rate": 1.4490682538377344e-06, + "loss": 0.02068305015563965, + "mean_token_accuracy": 0.9912440560758113, + "num_tokens": 41275818.0, + "step": 7760 + }, + { + "entropy": 0.01949581656031114, + "epoch": 0.834036850921273, + "grad_norm": 2.640625, + "learning_rate": 1.4132743357733502e-06, + "loss": 0.019521139562129974, + "mean_token_accuracy": 0.9927113294601441, + "num_tokens": 41378446.0, + "step": 7780 + }, + { + "entropy": 0.019279925492878647, + "epoch": 0.8361809045226131, + "grad_norm": 1.71875, + "learning_rate": 1.3778944025162399e-06, + "loss": 0.020213739573955537, + "mean_token_accuracy": 0.9918138355016708, + "num_tokens": 41480586.0, + "step": 7800 + }, + { + "entropy": 0.01848278012148512, + "epoch": 0.8383249581239531, + "grad_norm": 1.8046875, + "learning_rate": 1.3429301598102973e-06, + "loss": 0.021417385339736937, + "mean_token_accuracy": 0.992524030432105, + "num_tokens": 41583797.0, + "step": 7820 + }, + { + "entropy": 0.019653417706990695, + "epoch": 0.8404690117252931, + "grad_norm": 1.4375, + "learning_rate": 1.3083832933580608e-06, + "loss": 0.019776181876659395, + "mean_token_accuracy": 0.9927833370864392, + "num_tokens": 41693464.0, + "step": 7840 + }, + { + "entropy": 0.019763251290942207, + "epoch": 0.8426130653266332, + "grad_norm": 3.109375, + "learning_rate": 1.2742554687394537e-06, + "loss": 0.02297937124967575, + "mean_token_accuracy": 0.992657694220543, + "num_tokens": 41790157.0, + "step": 7860 + }, + { + "entropy": 0.019936064798548613, + "epoch": 0.8447571189279732, + "grad_norm": 3.609375, + "learning_rate": 1.2405483313314738e-06, + "loss": 0.02262817770242691, + "mean_token_accuracy": 0.9905056063085794, + "num_tokens": 41893582.0, + "step": 7880 + }, + { + "entropy": 0.01934517203821997, + "epoch": 0.8469011725293132, + "grad_norm": 2.109375, + "learning_rate": 1.2072635062288673e-06, + "loss": 0.020036940276622773, + "mean_token_accuracy": 0.9923514679074288, + "num_tokens": 42004717.0, + "step": 7900 + }, + { + "entropy": 0.01836295023481398, + "epoch": 0.8490452261306533, + "grad_norm": 3.1875, + "learning_rate": 1.174402598165787e-06, + "loss": 0.017996013164520264, + "mean_token_accuracy": 0.9931914895772934, + "num_tokens": 42114536.0, + "step": 7920 + }, + { + "entropy": 0.020249022626080658, + "epoch": 0.8511892797319933, + "grad_norm": 2.5, + "learning_rate": 1.1419671914384134e-06, + "loss": 0.02248285710811615, + "mean_token_accuracy": 0.991206606850028, + "num_tokens": 42222812.0, + "step": 7940 + }, + { + "entropy": 0.02073315970085332, + "epoch": 0.8533333333333334, + "grad_norm": 3.0, + "learning_rate": 1.1099588498285806e-06, + "loss": 0.02276255041360855, + "mean_token_accuracy": 0.9906704191118478, + "num_tokens": 42337872.0, + "step": 7960 + }, + { + "entropy": 0.019947545273566902, + "epoch": 0.8554773869346733, + "grad_norm": 1.5390625, + "learning_rate": 1.0783791165283798e-06, + "loss": 0.0205001100897789, + "mean_token_accuracy": 0.9920544352382421, + "num_tokens": 42443680.0, + "step": 7980 + }, + { + "entropy": 0.017547584273529537, + "epoch": 0.8576214405360134, + "grad_norm": 3.328125, + "learning_rate": 1.0472295140657584e-06, + "loss": 0.01985829621553421, + "mean_token_accuracy": 0.9921385683119297, + "num_tokens": 42548237.0, + "step": 8000 + }, + { + "epoch": 0.8576214405360134, + "eval_entropy": 0.019516329319584958, + "eval_loss": 0.01938561163842678, + "eval_mean_token_accuracy": 0.9923241523106893, + "eval_num_tokens": 42548237.0, + "eval_runtime": 20.235, + "eval_samples_per_second": 37.064, + "eval_steps_per_second": 18.532, + "step": 8000 + }, + { + "entropy": 0.018809675735496967, + "epoch": 0.8597654941373535, + "grad_norm": 1.5859375, + "learning_rate": 1.0165115442311168e-06, + "loss": 0.02014607787132263, + "mean_token_accuracy": 0.9919284801930189, + "num_tokens": 42659432.0, + "step": 8020 + }, + { + "entropy": 0.01733278074198097, + "epoch": 0.8619095477386934, + "grad_norm": 1.921875, + "learning_rate": 9.862266880049033e-07, + "loss": 0.018754176795482635, + "mean_token_accuracy": 0.9923460192978382, + "num_tokens": 42759466.0, + "step": 8040 + }, + { + "entropy": 0.01832941572265554, + "epoch": 0.8640536013400335, + "grad_norm": 2.078125, + "learning_rate": 9.563764054862112e-07, + "loss": 0.020297129452228547, + "mean_token_accuracy": 0.9928287036716938, + "num_tokens": 42868393.0, + "step": 8060 + }, + { + "entropy": 0.020013672889513147, + "epoch": 0.8661976549413736, + "grad_norm": 2.296875, + "learning_rate": 9.26962135822389e-07, + "loss": 0.021075569093227386, + "mean_token_accuracy": 0.9927308529615402, + "num_tokens": 42978572.0, + "step": 8080 + }, + { + "entropy": 0.017360182798279312, + "epoch": 0.8683417085427135, + "grad_norm": 1.5625, + "learning_rate": 8.979852971396508e-07, + "loss": 0.018198615312576293, + "mean_token_accuracy": 0.993445823341608, + "num_tokens": 43086831.0, + "step": 8100 + }, + { + "entropy": 0.02018861417880089, + "epoch": 0.8704857621440536, + "grad_norm": 2.25, + "learning_rate": 8.69447286474705e-07, + "loss": 0.02233450710773468, + "mean_token_accuracy": 0.9902903474867344, + "num_tokens": 43195060.0, + "step": 8120 + }, + { + "entropy": 0.019654828006423486, + "epoch": 0.8726298157453937, + "grad_norm": 2.515625, + "learning_rate": 8.413494797074095e-07, + "loss": 0.01920991241931915, + "mean_token_accuracy": 0.9916286468505859, + "num_tokens": 43306019.0, + "step": 8140 + }, + { + "entropy": 0.02208902873887837, + "epoch": 0.8747738693467336, + "grad_norm": 2.140625, + "learning_rate": 8.136932314944179e-07, + "loss": 0.022708958387374877, + "mean_token_accuracy": 0.9901477582752705, + "num_tokens": 43416895.0, + "step": 8160 + }, + { + "entropy": 0.01981349259772287, + "epoch": 0.8769179229480737, + "grad_norm": 2.71875, + "learning_rate": 7.864798752038949e-07, + "loss": 0.01928192377090454, + "mean_token_accuracy": 0.9919186655431986, + "num_tokens": 43516044.0, + "step": 8180 + }, + { + "entropy": 0.01925912519070607, + "epoch": 0.8790619765494138, + "grad_norm": 1.734375, + "learning_rate": 7.597107228512101e-07, + "loss": 0.02041231542825699, + "mean_token_accuracy": 0.9925541203469038, + "num_tokens": 43622616.0, + "step": 8200 + }, + { + "entropy": 0.01794401331856079, + "epoch": 0.8812060301507537, + "grad_norm": 1.40625, + "learning_rate": 7.333870650356911e-07, + "loss": 0.01903040409088135, + "mean_token_accuracy": 0.9926789086312056, + "num_tokens": 43738048.0, + "step": 8220 + }, + { + "entropy": 0.020185897200371984, + "epoch": 0.8833500837520938, + "grad_norm": 3.078125, + "learning_rate": 7.075101708784038e-07, + "loss": 0.02289024293422699, + "mean_token_accuracy": 0.9907027028501034, + "num_tokens": 43849936.0, + "step": 8240 + }, + { + "entropy": 0.020925003469278634, + "epoch": 0.8854941373534339, + "grad_norm": 2.96875, + "learning_rate": 6.820812879609551e-07, + "loss": 0.02114592641592026, + "mean_token_accuracy": 0.9914819072932005, + "num_tokens": 43953914.0, + "step": 8260 + }, + { + "entropy": 0.019342410219724115, + "epoch": 0.8876381909547739, + "grad_norm": 3.609375, + "learning_rate": 6.571016422653609e-07, + "loss": 0.020218712091445924, + "mean_token_accuracy": 0.9917961444705725, + "num_tokens": 44060574.0, + "step": 8280 + }, + { + "entropy": 0.018030824407537692, + "epoch": 0.8897822445561139, + "grad_norm": 1.171875, + "learning_rate": 6.325724381149201e-07, + "loss": 0.01951337456703186, + "mean_token_accuracy": 0.9863187871873379, + "num_tokens": 44169435.0, + "step": 8300 + }, + { + "entropy": 0.01994664284213741, + "epoch": 0.891926298157454, + "grad_norm": 2.921875, + "learning_rate": 6.084948581161643e-07, + "loss": 0.019201353192329407, + "mean_token_accuracy": 0.9925763100385666, + "num_tokens": 44276020.0, + "step": 8320 + }, + { + "entropy": 0.02081800427977214, + "epoch": 0.894070351758794, + "grad_norm": 1.6953125, + "learning_rate": 5.848700631018411e-07, + "loss": 0.020571966469287873, + "mean_token_accuracy": 0.9917529292404652, + "num_tokens": 44386885.0, + "step": 8340 + }, + { + "entropy": 0.01815503019108746, + "epoch": 0.896214405360134, + "grad_norm": 2.203125, + "learning_rate": 5.616991920749349e-07, + "loss": 0.020456781983375548, + "mean_token_accuracy": 0.9919084422290325, + "num_tokens": 44493234.0, + "step": 8360 + }, + { + "entropy": 0.018217097373872095, + "epoch": 0.898358458961474, + "grad_norm": 1.375, + "learning_rate": 5.389833621537755e-07, + "loss": 0.01739330738782883, + "mean_token_accuracy": 0.9934280533343554, + "num_tokens": 44596525.0, + "step": 8380 + }, + { + "entropy": 0.01944470095006636, + "epoch": 0.9005025125628141, + "grad_norm": 1.875, + "learning_rate": 5.167236685181532e-07, + "loss": 0.01959017515182495, + "mean_token_accuracy": 0.9926484901458025, + "num_tokens": 44704672.0, + "step": 8400 + }, + { + "entropy": 0.01922774040344848, + "epoch": 0.9026465661641541, + "grad_norm": 1.8671875, + "learning_rate": 4.949211843565449e-07, + "loss": 0.018985719978809358, + "mean_token_accuracy": 0.9930604692548514, + "num_tokens": 44802160.0, + "step": 8420 + }, + { + "entropy": 0.019086347535608183, + "epoch": 0.9047906197654941, + "grad_norm": 2.625, + "learning_rate": 4.7357696081435036e-07, + "loss": 0.021893636882305147, + "mean_token_accuracy": 0.9909486912190915, + "num_tokens": 44907874.0, + "step": 8440 + }, + { + "entropy": 0.01974412333381679, + "epoch": 0.9069346733668342, + "grad_norm": 3.1875, + "learning_rate": 4.5269202694322334e-07, + "loss": 0.0225388765335083, + "mean_token_accuracy": 0.9913734450936318, + "num_tokens": 45011015.0, + "step": 8460 + }, + { + "entropy": 0.0196786193088883, + "epoch": 0.9090787269681742, + "grad_norm": 3.484375, + "learning_rate": 4.3226738965146733e-07, + "loss": 0.019231879711151124, + "mean_token_accuracy": 0.9921259760856629, + "num_tokens": 45122211.0, + "step": 8480 + }, + { + "entropy": 0.017996370965624918, + "epoch": 0.9112227805695142, + "grad_norm": 1.3125, + "learning_rate": 4.1230403365547065e-07, + "loss": 0.018080990016460418, + "mean_token_accuracy": 0.9934276740998029, + "num_tokens": 45229362.0, + "step": 8500 + }, + { + "epoch": 0.9112227805695142, + "eval_entropy": 0.019543887719133637, + "eval_loss": 0.019348351284861565, + "eval_mean_token_accuracy": 0.9922665920257568, + "eval_num_tokens": 45229362.0, + "eval_runtime": 20.2762, + "eval_samples_per_second": 36.989, + "eval_steps_per_second": 18.495, + "step": 8500 + }, + { + "entropy": 0.021203386071078967, + "epoch": 0.9133668341708543, + "grad_norm": 1.609375, + "learning_rate": 3.9280292143225264e-07, + "loss": 0.022594137489795683, + "mean_token_accuracy": 0.991113456711173, + "num_tokens": 45338204.0, + "step": 8520 + }, + { + "entropy": 0.018270298717538935, + "epoch": 0.9155108877721944, + "grad_norm": 2.03125, + "learning_rate": 3.737649931730458e-07, + "loss": 0.019554194808006287, + "mean_token_accuracy": 0.9928128100931645, + "num_tokens": 45451611.0, + "step": 8540 + }, + { + "entropy": 0.01802048790036679, + "epoch": 0.9176549413735343, + "grad_norm": 1.8984375, + "learning_rate": 3.5519116673796707e-07, + "loss": 0.01832857131958008, + "mean_token_accuracy": 0.9920665070414543, + "num_tokens": 45552742.0, + "step": 8560 + }, + { + "entropy": 0.019545484634431887, + "epoch": 0.9197989949748744, + "grad_norm": 2.078125, + "learning_rate": 3.3708233761177935e-07, + "loss": 0.019848516583442687, + "mean_token_accuracy": 0.9930632192641496, + "num_tokens": 45654718.0, + "step": 8580 + }, + { + "entropy": 0.019058815206676627, + "epoch": 0.9219430485762145, + "grad_norm": 2.21875, + "learning_rate": 3.1943937886070197e-07, + "loss": 0.019996930658817292, + "mean_token_accuracy": 0.9920886129140853, + "num_tokens": 45764177.0, + "step": 8600 + }, + { + "entropy": 0.019873253857394958, + "epoch": 0.9240871021775544, + "grad_norm": 1.7265625, + "learning_rate": 3.0226314109032984e-07, + "loss": 0.020348772406578064, + "mean_token_accuracy": 0.9924048013985157, + "num_tokens": 45869501.0, + "step": 8620 + }, + { + "entropy": 0.01988984109498233, + "epoch": 0.9262311557788945, + "grad_norm": 2.09375, + "learning_rate": 2.8555445240461834e-07, + "loss": 0.01935010850429535, + "mean_token_accuracy": 0.9919997557997704, + "num_tokens": 45970153.0, + "step": 8640 + }, + { + "entropy": 0.01982094865072668, + "epoch": 0.9283752093802345, + "grad_norm": 2.09375, + "learning_rate": 2.6931411836595643e-07, + "loss": 0.02122329771518707, + "mean_token_accuracy": 0.9918153654783964, + "num_tokens": 46071225.0, + "step": 8660 + }, + { + "entropy": 0.019260422117486086, + "epoch": 0.9305192629815745, + "grad_norm": 2.359375, + "learning_rate": 2.535429219563401e-07, + "loss": 0.0204538568854332, + "mean_token_accuracy": 0.9913510870188474, + "num_tokens": 46180945.0, + "step": 8680 + }, + { + "entropy": 0.019332679143190035, + "epoch": 0.9326633165829146, + "grad_norm": 1.6796875, + "learning_rate": 2.3824162353960457e-07, + "loss": 0.02263512313365936, + "mean_token_accuracy": 0.9922845117747784, + "num_tokens": 46287275.0, + "step": 8700 + }, + { + "entropy": 0.018464213076777015, + "epoch": 0.9348073701842546, + "grad_norm": 2.046875, + "learning_rate": 2.2341096082478698e-07, + "loss": 0.019891925156116486, + "mean_token_accuracy": 0.9930620789527893, + "num_tokens": 46396075.0, + "step": 8720 + }, + { + "entropy": 0.020736305239142893, + "epoch": 0.9369514237855946, + "grad_norm": 1.796875, + "learning_rate": 2.0905164883054053e-07, + "loss": 0.0205291748046875, + "mean_token_accuracy": 0.9927501816302537, + "num_tokens": 46503373.0, + "step": 8740 + }, + { + "entropy": 0.01994141639102054, + "epoch": 0.9390954773869347, + "grad_norm": 1.8671875, + "learning_rate": 1.9516437985067306e-07, + "loss": 0.02209635227918625, + "mean_token_accuracy": 0.991724469140172, + "num_tokens": 46605784.0, + "step": 8760 + }, + { + "entropy": 0.018055033115933837, + "epoch": 0.9412395309882747, + "grad_norm": 1.4375, + "learning_rate": 1.8174982342076819e-07, + "loss": 0.02114318758249283, + "mean_token_accuracy": 0.9917370740324258, + "num_tokens": 46710311.0, + "step": 8780 + }, + { + "entropy": 0.017862834344521163, + "epoch": 0.9433835845896147, + "grad_norm": 1.40625, + "learning_rate": 1.6880862628590343e-07, + "loss": 0.017796410620212554, + "mean_token_accuracy": 0.9937189962714911, + "num_tokens": 46818472.0, + "step": 8800 + }, + { + "entropy": 0.01954027940284959, + "epoch": 0.9455276381909548, + "grad_norm": 1.6015625, + "learning_rate": 1.5634141236947174e-07, + "loss": 0.01990315467119217, + "mean_token_accuracy": 0.9926852386444807, + "num_tokens": 46912066.0, + "step": 8820 + }, + { + "entropy": 0.01788209332662518, + "epoch": 0.9476716917922948, + "grad_norm": 3.28125, + "learning_rate": 1.4434878274309782e-07, + "loss": 0.020390361547470093, + "mean_token_accuracy": 0.9922173459082841, + "num_tokens": 47012839.0, + "step": 8840 + }, + { + "entropy": 0.019225874226185623, + "epoch": 0.9498157453936349, + "grad_norm": 1.546875, + "learning_rate": 1.3283131559766016e-07, + "loss": 0.019317436218261718, + "mean_token_accuracy": 0.9922500483691692, + "num_tokens": 47118537.0, + "step": 8860 + }, + { + "entropy": 0.019644861581696205, + "epoch": 0.9519597989949748, + "grad_norm": 1.921875, + "learning_rate": 1.217895662154178e-07, + "loss": 0.02014264166355133, + "mean_token_accuracy": 0.9908678252249956, + "num_tokens": 47218518.0, + "step": 8880 + }, + { + "entropy": 0.019726947057893084, + "epoch": 0.9541038525963149, + "grad_norm": 1.859375, + "learning_rate": 1.1122406694323628e-07, + "loss": 0.021320286393165588, + "mean_token_accuracy": 0.9916484046727418, + "num_tokens": 47318647.0, + "step": 8900 + }, + { + "entropy": 0.019115359010970678, + "epoch": 0.956247906197655, + "grad_norm": 1.6875, + "learning_rate": 1.0113532716692131e-07, + "loss": 0.019532181322574615, + "mean_token_accuracy": 0.9924892302602529, + "num_tokens": 47423152.0, + "step": 8920 + }, + { + "entropy": 0.019615740292147167, + "epoch": 0.9583919597989949, + "grad_norm": 1.4921875, + "learning_rate": 9.152383328666415e-08, + "loss": 0.024791160225868226, + "mean_token_accuracy": 0.9896657336503267, + "num_tokens": 47525402.0, + "step": 8940 + }, + { + "entropy": 0.018387637558203097, + "epoch": 0.960536013400335, + "grad_norm": 1.5390625, + "learning_rate": 8.239004869358468e-08, + "loss": 0.018946020305156706, + "mean_token_accuracy": 0.9929318383336068, + "num_tokens": 47641223.0, + "step": 8960 + }, + { + "entropy": 0.018579465060270195, + "epoch": 0.9626800670016751, + "grad_norm": 2.625, + "learning_rate": 7.373441374739942e-08, + "loss": 0.021176393330097198, + "mean_token_accuracy": 0.9917469136416912, + "num_tokens": 47742034.0, + "step": 8980 + }, + { + "entropy": 0.019280895775682438, + "epoch": 0.964824120603015, + "grad_norm": 2.375, + "learning_rate": 6.555734575518058e-08, + "loss": 0.020877310633659364, + "mean_token_accuracy": 0.9919904433190823, + "num_tokens": 47836864.0, + "step": 9000 + }, + { + "epoch": 0.964824120603015, + "eval_entropy": 0.01948107976220975, + "eval_loss": 0.019369935616850853, + "eval_mean_token_accuracy": 0.9921530286471049, + "eval_num_tokens": 47836864.0, + "eval_runtime": 20.3121, + "eval_samples_per_second": 36.924, + "eval_steps_per_second": 18.462, + "step": 9000 + } + ], + "logging_steps": 20, + "max_steps": 9329, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.864530685993165e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9000/training_args.bin b/checkpoint-9000/training_args.bin new file mode 100644 index 0000000..96cea35 --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:896375d502906677c7c6ac4e94fcf73d56f682781d3d2addb3cca71640f162b7 +size 5777 diff --git a/checkpoint-9329/chat_template.jinja b/checkpoint-9329/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/checkpoint-9329/chat_template.jinja @@ -0,0 +1,89 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/checkpoint-9329/config.json b/checkpoint-9329/config.json new file mode 100644 index 0000000..1d219d6 --- /dev/null +++ b/checkpoint-9329/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 6144, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "5.7.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/checkpoint-9329/generation_config.json b/checkpoint-9329/generation_config.json new file mode 100644 index 0000000..5ec133d --- /dev/null +++ b/checkpoint-9329/generation_config.json @@ -0,0 +1,12 @@ +{ + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95, + "transformers_version": "5.7.0" +} diff --git a/checkpoint-9329/model.safetensors b/checkpoint-9329/model.safetensors new file mode 100644 index 0000000..6365eab --- /dev/null +++ b/checkpoint-9329/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32f3da47bd90115ac1bdfe0f5ab9ec22f7e234160c83bebd5a516fbf54466774 +size 3441185608 diff --git a/checkpoint-9329/optimizer.pt b/checkpoint-9329/optimizer.pt new file mode 100644 index 0000000..1e1d5c7 --- /dev/null +++ b/checkpoint-9329/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ae5c10e1b138bc3ae15f33f0c9eee356b14320c80dbf55617d89b3c5fd001c94 +size 6882572207 diff --git a/checkpoint-9329/rng_state.pth b/checkpoint-9329/rng_state.pth new file mode 100644 index 0000000..34de6a6 --- /dev/null +++ b/checkpoint-9329/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed3753ab7977739b8eda494dd72defae5750f7283141b11a8f562160ba4c1a23 +size 14645 diff --git a/checkpoint-9329/scheduler.pt b/checkpoint-9329/scheduler.pt new file mode 100644 index 0000000..e589eb4 --- /dev/null +++ b/checkpoint-9329/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:816451833579af6813879ac219814814680365671d8b362c9aae623946b66bc8 +size 1465 diff --git a/checkpoint-9329/tokenizer.json b/checkpoint-9329/tokenizer.json new file mode 100644 index 0000000..c7afbed --- /dev/null +++ b/checkpoint-9329/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506 +size 11422650 diff --git a/checkpoint-9329/tokenizer_config.json b/checkpoint-9329/tokenizer_config.json new file mode 100644 index 0000000..770e41d --- /dev/null +++ b/checkpoint-9329/tokenizer_config.json @@ -0,0 +1,30 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "is_local": false, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/checkpoint-9329/trainer_state.json b/checkpoint-9329/trainer_state.json new file mode 100644 index 0000000..743b133 --- /dev/null +++ b/checkpoint-9329/trainer_state.json @@ -0,0 +1,4903 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 9329, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 0.3966331691481173, + "epoch": 0.0021440536013400337, + "grad_norm": 129.0, + "learning_rate": 1.3571428571428572e-06, + "loss": 3.2754512786865235, + "mean_token_accuracy": 0.7025479640811682, + "num_tokens": 100865.0, + "step": 20 + }, + { + "entropy": 0.39382178746163843, + "epoch": 0.004288107202680067, + "grad_norm": 72.5, + "learning_rate": 2.785714285714286e-06, + "loss": 2.5979455947875976, + "mean_token_accuracy": 0.7279976762831211, + "num_tokens": 209237.0, + "step": 40 + }, + { + "entropy": 0.49158020988106726, + "epoch": 0.006432160804020101, + "grad_norm": 31.0, + "learning_rate": 4.2142857142857145e-06, + "loss": 1.34407320022583, + "mean_token_accuracy": 0.7954290494322777, + "num_tokens": 322722.0, + "step": 60 + }, + { + "entropy": 0.37321625389158725, + "epoch": 0.008576214405360135, + "grad_norm": 9.6875, + "learning_rate": 5.6428571428571435e-06, + "loss": 0.308458948135376, + "mean_token_accuracy": 0.9197555683553219, + "num_tokens": 426557.0, + "step": 80 + }, + { + "entropy": 0.09664252077927812, + "epoch": 0.010720268006700168, + "grad_norm": 4.25, + "learning_rate": 7.0714285714285726e-06, + "loss": 0.08551757931709289, + "mean_token_accuracy": 0.9772517420351505, + "num_tokens": 538043.0, + "step": 100 + }, + { + "entropy": 0.06678911932976916, + "epoch": 0.012864321608040201, + "grad_norm": 6.59375, + "learning_rate": 8.5e-06, + "loss": 0.05725666880607605, + "mean_token_accuracy": 0.978511106595397, + "num_tokens": 651143.0, + "step": 120 + }, + { + "entropy": 0.05399178955703974, + "epoch": 0.015008375209380235, + "grad_norm": 1.8515625, + "learning_rate": 9.92857142857143e-06, + "loss": 0.0476167619228363, + "mean_token_accuracy": 0.9818631950765848, + "num_tokens": 759324.0, + "step": 140 + }, + { + "entropy": 0.050143458176171406, + "epoch": 0.01715242881072027, + "grad_norm": 2.65625, + "learning_rate": 1.1357142857142858e-05, + "loss": 0.048712074756622314, + "mean_token_accuracy": 0.9795998100191354, + "num_tokens": 854771.0, + "step": 160 + }, + { + "entropy": 0.04800442266860046, + "epoch": 0.019296482412060303, + "grad_norm": 2.53125, + "learning_rate": 1.2785714285714286e-05, + "loss": 0.046506857872009276, + "mean_token_accuracy": 0.9819129385054112, + "num_tokens": 965263.0, + "step": 180 + }, + { + "entropy": 0.04474863488285337, + "epoch": 0.021440536013400336, + "grad_norm": 2.46875, + "learning_rate": 1.4214285714285716e-05, + "loss": 0.04230240285396576, + "mean_token_accuracy": 0.9835243009030818, + "num_tokens": 1067106.0, + "step": 200 + }, + { + "entropy": 0.04506044688168913, + "epoch": 0.02358458961474037, + "grad_norm": 4.59375, + "learning_rate": 1.5642857142857143e-05, + "loss": 0.04433030188083649, + "mean_token_accuracy": 0.9820781596004963, + "num_tokens": 1181133.0, + "step": 220 + }, + { + "entropy": 0.04305547107360326, + "epoch": 0.025728643216080403, + "grad_norm": 1.7890625, + "learning_rate": 1.7071428571428573e-05, + "loss": 0.04099105894565582, + "mean_token_accuracy": 0.9831817526370287, + "num_tokens": 1301484.0, + "step": 240 + }, + { + "entropy": 0.04266677545965649, + "epoch": 0.027872696817420436, + "grad_norm": 2.34375, + "learning_rate": 1.8500000000000002e-05, + "loss": 0.04160386621952057, + "mean_token_accuracy": 0.9813323471695184, + "num_tokens": 1403952.0, + "step": 260 + }, + { + "entropy": 0.04101881538517773, + "epoch": 0.03001675041876047, + "grad_norm": 2.59375, + "learning_rate": 1.992857142857143e-05, + "loss": 0.042915910482406616, + "mean_token_accuracy": 0.9821092572063208, + "num_tokens": 1517588.0, + "step": 280 + }, + { + "entropy": 0.04049238133156905, + "epoch": 0.032160804020100506, + "grad_norm": 2.703125, + "learning_rate": 1.9999782442429437e-05, + "loss": 0.04166347980499267, + "mean_token_accuracy": 0.9828211534768343, + "num_tokens": 1629657.0, + "step": 300 + }, + { + "entropy": 0.04230240093893371, + "epoch": 0.03430485762144054, + "grad_norm": 1.2421875, + "learning_rate": 1.9999083376151357e-05, + "loss": 0.041567260026931764, + "mean_token_accuracy": 0.9822345357388258, + "num_tokens": 1721145.0, + "step": 320 + }, + { + "entropy": 0.03799658405041555, + "epoch": 0.03644891122278057, + "grad_norm": 3.3125, + "learning_rate": 1.9997902232214542e-05, + "loss": 0.0413459450006485, + "mean_token_accuracy": 0.9830254316329956, + "num_tokens": 1820492.0, + "step": 340 + }, + { + "entropy": 0.041703186882659796, + "epoch": 0.038592964824120606, + "grad_norm": 2.65625, + "learning_rate": 1.999623906756452e-05, + "loss": 0.040859296917915344, + "mean_token_accuracy": 0.976021521165967, + "num_tokens": 1931348.0, + "step": 360 + }, + { + "entropy": 0.04301113227265887, + "epoch": 0.04073701842546064, + "grad_norm": 1.7734375, + "learning_rate": 1.9994093962386102e-05, + "loss": 0.04014136493206024, + "mean_token_accuracy": 0.9837368253618479, + "num_tokens": 2047917.0, + "step": 380 + }, + { + "entropy": 0.041214162003598176, + "epoch": 0.04288107202680067, + "grad_norm": 1.5078125, + "learning_rate": 1.9991467020099492e-05, + "loss": 0.04444628953933716, + "mean_token_accuracy": 0.9809734560549259, + "num_tokens": 2149033.0, + "step": 400 + }, + { + "entropy": 0.04038102811900899, + "epoch": 0.045025125628140705, + "grad_norm": 1.6796875, + "learning_rate": 1.998835836735531e-05, + "loss": 0.0405484139919281, + "mean_token_accuracy": 0.982579792290926, + "num_tokens": 2248970.0, + "step": 420 + }, + { + "entropy": 0.039991069887764755, + "epoch": 0.04716917922948074, + "grad_norm": 1.09375, + "learning_rate": 1.9984768154028508e-05, + "loss": 0.03874191641807556, + "mean_token_accuracy": 0.9835739009082317, + "num_tokens": 2350681.0, + "step": 440 + }, + { + "entropy": 0.03837411678614444, + "epoch": 0.04931323283082077, + "grad_norm": 1.4296875, + "learning_rate": 1.9980696553211108e-05, + "loss": 0.04068012237548828, + "mean_token_accuracy": 0.9836468525230885, + "num_tokens": 2455656.0, + "step": 460 + }, + { + "entropy": 0.03925063398201019, + "epoch": 0.051457286432160805, + "grad_norm": 2.140625, + "learning_rate": 1.9976143761203893e-05, + "loss": 0.04098735451698303, + "mean_token_accuracy": 0.9809495396912098, + "num_tokens": 2559532.0, + "step": 480 + }, + { + "entropy": 0.03997599564900156, + "epoch": 0.05360134003350084, + "grad_norm": 1.546875, + "learning_rate": 1.99711099975069e-05, + "loss": 0.03899767398834229, + "mean_token_accuracy": 0.9831298362463713, + "num_tokens": 2654243.0, + "step": 500 + }, + { + "epoch": 0.05360134003350084, + "eval_entropy": 0.038057172449305655, + "eval_loss": 0.03832634538412094, + "eval_mean_token_accuracy": 0.9846738157272339, + "eval_num_tokens": 2654243.0, + "eval_runtime": 20.3077, + "eval_samples_per_second": 36.932, + "eval_steps_per_second": 18.466, + "step": 500 + }, + { + "entropy": 0.040187044665799476, + "epoch": 0.05574539363484087, + "grad_norm": 3.796875, + "learning_rate": 1.9965595504808886e-05, + "loss": 0.03858818709850311, + "mean_token_accuracy": 0.9832367639988661, + "num_tokens": 2751255.0, + "step": 520 + }, + { + "entropy": 0.035708320523553994, + "epoch": 0.057889447236180905, + "grad_norm": 1.8515625, + "learning_rate": 1.9959600548975593e-05, + "loss": 0.035676625370979306, + "mean_token_accuracy": 0.9861446134746075, + "num_tokens": 2849554.0, + "step": 540 + }, + { + "entropy": 0.036129794413864144, + "epoch": 0.06003350083752094, + "grad_norm": 1.3828125, + "learning_rate": 1.9953125419036935e-05, + "loss": 0.03737228214740753, + "mean_token_accuracy": 0.9838687002658844, + "num_tokens": 2948412.0, + "step": 560 + }, + { + "entropy": 0.036765301373088734, + "epoch": 0.06217755443886097, + "grad_norm": 1.6640625, + "learning_rate": 1.994617042717308e-05, + "loss": 0.03550122678279877, + "mean_token_accuracy": 0.9847423356026411, + "num_tokens": 3048326.0, + "step": 580 + }, + { + "entropy": 0.03411570826137904, + "epoch": 0.06432160804020101, + "grad_norm": 2.40625, + "learning_rate": 1.9938735908699384e-05, + "loss": 0.036294499039649965, + "mean_token_accuracy": 0.9855027917772532, + "num_tokens": 3161774.0, + "step": 600 + }, + { + "entropy": 0.0356013277938473, + "epoch": 0.06646566164154104, + "grad_norm": 1.84375, + "learning_rate": 1.993082222205023e-05, + "loss": 0.034555235505104066, + "mean_token_accuracy": 0.9851896297186613, + "num_tokens": 3273915.0, + "step": 620 + }, + { + "entropy": 0.0345983263629023, + "epoch": 0.06860971524288108, + "grad_norm": 2.34375, + "learning_rate": 1.9922429748761733e-05, + "loss": 0.03647570013999939, + "mean_token_accuracy": 0.9840687446296215, + "num_tokens": 3381550.0, + "step": 640 + }, + { + "entropy": 0.03738872102476307, + "epoch": 0.0707537688442211, + "grad_norm": 1.7265625, + "learning_rate": 1.9913558893453382e-05, + "loss": 0.036225003004074094, + "mean_token_accuracy": 0.9841504596173763, + "num_tokens": 3484439.0, + "step": 660 + }, + { + "entropy": 0.037293507948561455, + "epoch": 0.07289782244556114, + "grad_norm": 2.0625, + "learning_rate": 1.9904210083808485e-05, + "loss": 0.03906684815883636, + "mean_token_accuracy": 0.9821466624736785, + "num_tokens": 3588594.0, + "step": 680 + }, + { + "entropy": 0.03572316213103477, + "epoch": 0.07504187604690117, + "grad_norm": 1.3671875, + "learning_rate": 1.9894383770553594e-05, + "loss": 0.03395065367221832, + "mean_token_accuracy": 0.9846713658422231, + "num_tokens": 3690877.0, + "step": 700 + }, + { + "entropy": 0.0373659498654888, + "epoch": 0.07718592964824121, + "grad_norm": 1.1328125, + "learning_rate": 1.988408042743673e-05, + "loss": 0.03977937400341034, + "mean_token_accuracy": 0.982515212148428, + "num_tokens": 3802248.0, + "step": 720 + }, + { + "entropy": 0.03811679463542532, + "epoch": 0.07932998324958124, + "grad_norm": 3.171875, + "learning_rate": 1.9873300551204588e-05, + "loss": 0.03767184019088745, + "mean_token_accuracy": 0.9842769052833319, + "num_tokens": 3904946.0, + "step": 740 + }, + { + "entropy": 0.03399244465199445, + "epoch": 0.08147403685092128, + "grad_norm": 2.046875, + "learning_rate": 1.9862044661578554e-05, + "loss": 0.033424127101898196, + "mean_token_accuracy": 0.9856430813670158, + "num_tokens": 4011765.0, + "step": 760 + }, + { + "entropy": 0.03507241023471579, + "epoch": 0.0836180904522613, + "grad_norm": 2.328125, + "learning_rate": 1.985031330122966e-05, + "loss": 0.034555363655090335, + "mean_token_accuracy": 0.9848727196455002, + "num_tokens": 4119751.0, + "step": 780 + }, + { + "entropy": 0.03295613579248311, + "epoch": 0.08576214405360134, + "grad_norm": 2.015625, + "learning_rate": 1.9838107035752422e-05, + "loss": 0.03498654961585999, + "mean_token_accuracy": 0.9861093372106552, + "num_tokens": 4234054.0, + "step": 800 + }, + { + "entropy": 0.03774066482146736, + "epoch": 0.08790619765494137, + "grad_norm": 1.453125, + "learning_rate": 1.9825426453637578e-05, + "loss": 0.03699869811534882, + "mean_token_accuracy": 0.9836779370903969, + "num_tokens": 4345322.0, + "step": 820 + }, + { + "entropy": 0.03479030575981597, + "epoch": 0.09005025125628141, + "grad_norm": 1.8984375, + "learning_rate": 1.9812272166243694e-05, + "loss": 0.03539972007274628, + "mean_token_accuracy": 0.98408287987113, + "num_tokens": 4439690.0, + "step": 840 + }, + { + "entropy": 0.03287471420262591, + "epoch": 0.09219430485762144, + "grad_norm": 1.9375, + "learning_rate": 1.979864480776771e-05, + "loss": 0.033072105050086974, + "mean_token_accuracy": 0.9868043974041939, + "num_tokens": 4547696.0, + "step": 860 + }, + { + "entropy": 0.03525375899625942, + "epoch": 0.09433835845896148, + "grad_norm": 1.3984375, + "learning_rate": 1.9784545035214358e-05, + "loss": 0.034766626358032224, + "mean_token_accuracy": 0.985904373601079, + "num_tokens": 4656576.0, + "step": 880 + }, + { + "entropy": 0.03227176534710452, + "epoch": 0.0964824120603015, + "grad_norm": 1.46875, + "learning_rate": 1.976997352836448e-05, + "loss": 0.032944831252098086, + "mean_token_accuracy": 0.9853209290653467, + "num_tokens": 4763714.0, + "step": 900 + }, + { + "entropy": 0.03179633504041703, + "epoch": 0.09862646566164154, + "grad_norm": 1.5, + "learning_rate": 1.975493098974226e-05, + "loss": 0.033859679102897645, + "mean_token_accuracy": 0.9853155620396137, + "num_tokens": 4862673.0, + "step": 920 + }, + { + "entropy": 0.0342723391513573, + "epoch": 0.10077051926298157, + "grad_norm": 1.703125, + "learning_rate": 1.9739418144581357e-05, + "loss": 0.035592520236968996, + "mean_token_accuracy": 0.984546373412013, + "num_tokens": 4972462.0, + "step": 940 + }, + { + "entropy": 0.031624948812532236, + "epoch": 0.10291457286432161, + "grad_norm": 1.875, + "learning_rate": 1.9723435740789937e-05, + "loss": 0.03236276209354401, + "mean_token_accuracy": 0.9860632043331862, + "num_tokens": 5076752.0, + "step": 960 + }, + { + "entropy": 0.03294982312654611, + "epoch": 0.10505862646566164, + "grad_norm": 1.9140625, + "learning_rate": 1.97069845489146e-05, + "loss": 0.03309372365474701, + "mean_token_accuracy": 0.9859170567244291, + "num_tokens": 5194841.0, + "step": 980 + }, + { + "entropy": 0.03638018769561313, + "epoch": 0.10720268006700168, + "grad_norm": 1.3671875, + "learning_rate": 1.969006536210327e-05, + "loss": 0.036982369422912595, + "mean_token_accuracy": 0.9845436029136181, + "num_tokens": 5295536.0, + "step": 1000 + }, + { + "epoch": 0.10720268006700168, + "eval_entropy": 0.03662689963728189, + "eval_loss": 0.033028148114681244, + "eval_mean_token_accuracy": 0.9869652398427328, + "eval_num_tokens": 5295536.0, + "eval_runtime": 20.3094, + "eval_samples_per_second": 36.929, + "eval_steps_per_second": 18.464, + "step": 1000 + }, + { + "entropy": 0.035084289042788444, + "epoch": 0.1093467336683417, + "grad_norm": 1.4609375, + "learning_rate": 1.96726789960669e-05, + "loss": 0.03461971580982208, + "mean_token_accuracy": 0.9852123014628887, + "num_tokens": 5398244.0, + "step": 1020 + }, + { + "entropy": 0.03179455297176901, + "epoch": 0.11149078726968174, + "grad_norm": 1.3515625, + "learning_rate": 1.965482628904019e-05, + "loss": 0.03005821704864502, + "mean_token_accuracy": 0.9795859795063734, + "num_tokens": 5513313.0, + "step": 1040 + }, + { + "entropy": 0.028698108330354445, + "epoch": 0.11363484087102177, + "grad_norm": 3.4375, + "learning_rate": 1.963650810174116e-05, + "loss": 0.03329857885837555, + "mean_token_accuracy": 0.9862619318068028, + "num_tokens": 5612778.0, + "step": 1060 + }, + { + "entropy": 0.03370735585340299, + "epoch": 0.11577889447236181, + "grad_norm": 1.84375, + "learning_rate": 1.9617725317329644e-05, + "loss": 0.03324403166770935, + "mean_token_accuracy": 0.985461600497365, + "num_tokens": 5719033.0, + "step": 1080 + }, + { + "entropy": 0.035593700742174404, + "epoch": 0.11792294807370184, + "grad_norm": 1.8671875, + "learning_rate": 1.9598478841364727e-05, + "loss": 0.034142997860908506, + "mean_token_accuracy": 0.985479149222374, + "num_tokens": 5833790.0, + "step": 1100 + }, + { + "entropy": 0.029760706042361564, + "epoch": 0.12006700167504188, + "grad_norm": 1.234375, + "learning_rate": 1.957876960176106e-05, + "loss": 0.03303615748882294, + "mean_token_accuracy": 0.9864209692925214, + "num_tokens": 5942042.0, + "step": 1120 + }, + { + "entropy": 0.03119294007847202, + "epoch": 0.12221105527638192, + "grad_norm": 2.234375, + "learning_rate": 1.955859854874416e-05, + "loss": 0.03496485948562622, + "mean_token_accuracy": 0.9869707945734263, + "num_tokens": 6052169.0, + "step": 1140 + }, + { + "entropy": 0.032620664288697296, + "epoch": 0.12435510887772194, + "grad_norm": 2.1875, + "learning_rate": 1.9537966654804568e-05, + "loss": 0.032474163174629214, + "mean_token_accuracy": 0.985412934049964, + "num_tokens": 6160024.0, + "step": 1160 + }, + { + "entropy": 0.029878590396401707, + "epoch": 0.12649916247906198, + "grad_norm": 1.3203125, + "learning_rate": 1.9516874914650972e-05, + "loss": 0.028646692633628845, + "mean_token_accuracy": 0.9869820442050695, + "num_tokens": 6264476.0, + "step": 1180 + }, + { + "entropy": 0.03366943938890472, + "epoch": 0.12864321608040202, + "grad_norm": 2.390625, + "learning_rate": 1.9495324345162255e-05, + "loss": 0.03512271046638489, + "mean_token_accuracy": 0.9845213159918785, + "num_tokens": 6377469.0, + "step": 1200 + }, + { + "entropy": 0.03266510410194314, + "epoch": 0.13078726968174204, + "grad_norm": 1.625, + "learning_rate": 1.947331598533846e-05, + "loss": 0.03071320950984955, + "mean_token_accuracy": 0.9855085987597704, + "num_tokens": 6489484.0, + "step": 1220 + }, + { + "entropy": 0.02746599452148075, + "epoch": 0.13293132328308208, + "grad_norm": 2.03125, + "learning_rate": 1.9450850896250705e-05, + "loss": 0.029182371497154237, + "mean_token_accuracy": 0.9887533523142338, + "num_tokens": 6594306.0, + "step": 1240 + }, + { + "entropy": 0.029792005700437586, + "epoch": 0.13507537688442212, + "grad_norm": 1.8359375, + "learning_rate": 1.9427930160990026e-05, + "loss": 0.03335131406784057, + "mean_token_accuracy": 0.9871865373104811, + "num_tokens": 6701348.0, + "step": 1260 + }, + { + "entropy": 0.03408827395323897, + "epoch": 0.13721943048576216, + "grad_norm": 1.40625, + "learning_rate": 1.9404554884615153e-05, + "loss": 0.033723458647727966, + "mean_token_accuracy": 0.9851170387119055, + "num_tokens": 6812895.0, + "step": 1280 + }, + { + "entropy": 0.03265384387705126, + "epoch": 0.13936348408710217, + "grad_norm": 2.125, + "learning_rate": 1.9380726194099236e-05, + "loss": 0.032703128457069394, + "mean_token_accuracy": 0.9860071249306201, + "num_tokens": 6914997.0, + "step": 1300 + }, + { + "entropy": 0.030018781982835207, + "epoch": 0.1415075376884422, + "grad_norm": 1.9765625, + "learning_rate": 1.9356445238275518e-05, + "loss": 0.029086670279502867, + "mean_token_accuracy": 0.9875706855207682, + "num_tokens": 7017334.0, + "step": 1320 + }, + { + "entropy": 0.030701546505588338, + "epoch": 0.14365159128978225, + "grad_norm": 2.4375, + "learning_rate": 1.933171318778193e-05, + "loss": 0.03185203075408936, + "mean_token_accuracy": 0.9859924230724573, + "num_tokens": 7124252.0, + "step": 1340 + }, + { + "entropy": 0.032219707980402745, + "epoch": 0.1457956448911223, + "grad_norm": 1.359375, + "learning_rate": 1.9306531235004674e-05, + "loss": 0.03223040103912354, + "mean_token_accuracy": 0.9870269387960434, + "num_tokens": 7234001.0, + "step": 1360 + }, + { + "entropy": 0.029969332017935814, + "epoch": 0.1479396984924623, + "grad_norm": 1.578125, + "learning_rate": 1.928090059402072e-05, + "loss": 0.030724048614501953, + "mean_token_accuracy": 0.9877043284475804, + "num_tokens": 7340453.0, + "step": 1380 + }, + { + "entropy": 0.031696403899695726, + "epoch": 0.15008375209380234, + "grad_norm": 1.25, + "learning_rate": 1.9254822500539268e-05, + "loss": 0.032300516963005066, + "mean_token_accuracy": 0.9876017738133669, + "num_tokens": 7453174.0, + "step": 1400 + }, + { + "entropy": 0.0315240634514339, + "epoch": 0.15222780569514238, + "grad_norm": 1.328125, + "learning_rate": 1.9228298211842193e-05, + "loss": 0.033043709397315976, + "mean_token_accuracy": 0.9866235084831715, + "num_tokens": 7555849.0, + "step": 1420 + }, + { + "entropy": 0.031768915360407844, + "epoch": 0.15437185929648242, + "grad_norm": 2.046875, + "learning_rate": 1.9201329006723413e-05, + "loss": 0.027889394760131837, + "mean_token_accuracy": 0.9881493493914604, + "num_tokens": 7665192.0, + "step": 1440 + }, + { + "entropy": 0.02793313514721376, + "epoch": 0.15651591289782243, + "grad_norm": 1.6015625, + "learning_rate": 1.917391618542724e-05, + "loss": 0.034602677822113036, + "mean_token_accuracy": 0.9850024841725826, + "num_tokens": 7766528.0, + "step": 1460 + }, + { + "entropy": 0.033910460214247, + "epoch": 0.15865996649916247, + "grad_norm": 2.375, + "learning_rate": 1.914606106958568e-05, + "loss": 0.03377147018909454, + "mean_token_accuracy": 0.9864576529711485, + "num_tokens": 7873249.0, + "step": 1480 + }, + { + "entropy": 0.03134421622089576, + "epoch": 0.16080402010050251, + "grad_norm": 1.6328125, + "learning_rate": 1.911776500215474e-05, + "loss": 0.031429946422576904, + "mean_token_accuracy": 0.9866740386933088, + "num_tokens": 7966983.0, + "step": 1500 + }, + { + "epoch": 0.16080402010050251, + "eval_entropy": 0.031583791558475544, + "eval_loss": 0.029090270400047302, + "eval_mean_token_accuracy": 0.9873407395680746, + "eval_num_tokens": 7966983.0, + "eval_runtime": 20.2978, + "eval_samples_per_second": 36.95, + "eval_steps_per_second": 18.475, + "step": 1500 + }, + { + "entropy": 0.03011373901317711, + "epoch": 0.16294807370184256, + "grad_norm": 1.96875, + "learning_rate": 1.9089029347349664e-05, + "loss": 0.029482910037040712, + "mean_token_accuracy": 0.9875899031758308, + "num_tokens": 8076659.0, + "step": 1520 + }, + { + "entropy": 0.024959181708436518, + "epoch": 0.16509212730318257, + "grad_norm": 2.875, + "learning_rate": 1.9059855490579156e-05, + "loss": 0.02683677673339844, + "mean_token_accuracy": 0.989487374201417, + "num_tokens": 8175314.0, + "step": 1540 + }, + { + "entropy": 0.027774957335896033, + "epoch": 0.1672361809045226, + "grad_norm": 2.09375, + "learning_rate": 1.90302448383786e-05, + "loss": 0.03151543140411377, + "mean_token_accuracy": 0.9872768469154835, + "num_tokens": 8290905.0, + "step": 1560 + }, + { + "entropy": 0.03308429398821318, + "epoch": 0.16938023450586265, + "grad_norm": 1.203125, + "learning_rate": 1.9000198818342243e-05, + "loss": 0.03073907792568207, + "mean_token_accuracy": 0.9868967544287444, + "num_tokens": 8397808.0, + "step": 1580 + }, + { + "entropy": 0.030384358397623146, + "epoch": 0.1715242881072027, + "grad_norm": 1.9296875, + "learning_rate": 1.8969718879054365e-05, + "loss": 0.034263554215431216, + "mean_token_accuracy": 0.98636131323874, + "num_tokens": 8504583.0, + "step": 1600 + }, + { + "entropy": 0.02909080486315361, + "epoch": 0.1736683417085427, + "grad_norm": 2.078125, + "learning_rate": 1.893880649001944e-05, + "loss": 0.029698848724365234, + "mean_token_accuracy": 0.9875615444034338, + "num_tokens": 8608889.0, + "step": 1620 + }, + { + "entropy": 0.03127812161601469, + "epoch": 0.17581239530988274, + "grad_norm": 2.3125, + "learning_rate": 1.890746314159129e-05, + "loss": 0.031479662656784056, + "mean_token_accuracy": 0.9861587047576904, + "num_tokens": 8720168.0, + "step": 1640 + }, + { + "entropy": 0.028632436878615407, + "epoch": 0.17795644891122278, + "grad_norm": 2.96875, + "learning_rate": 1.8875690344901237e-05, + "loss": 0.02911217212677002, + "mean_token_accuracy": 0.9880903176963329, + "num_tokens": 8822057.0, + "step": 1660 + }, + { + "entropy": 0.02712122074663057, + "epoch": 0.18010050251256282, + "grad_norm": 5.09375, + "learning_rate": 1.884348963178523e-05, + "loss": 0.02785937786102295, + "mean_token_accuracy": 0.9886827927082777, + "num_tokens": 8926336.0, + "step": 1680 + }, + { + "entropy": 0.025899743908667006, + "epoch": 0.18224455611390286, + "grad_norm": 1.265625, + "learning_rate": 1.881086255471001e-05, + "loss": 0.026762637495994567, + "mean_token_accuracy": 0.9886533226817846, + "num_tokens": 9023646.0, + "step": 1700 + }, + { + "entropy": 0.028882844069084968, + "epoch": 0.18438860971524287, + "grad_norm": 1.5390625, + "learning_rate": 1.8777810686698266e-05, + "loss": 0.029647400975227355, + "mean_token_accuracy": 0.9875607810914516, + "num_tokens": 9127152.0, + "step": 1720 + }, + { + "entropy": 0.03044446731946664, + "epoch": 0.18653266331658291, + "grad_norm": 1.2265625, + "learning_rate": 1.8744335621252766e-05, + "loss": 0.031170135736465453, + "mean_token_accuracy": 0.9866547036916018, + "num_tokens": 9234279.0, + "step": 1740 + }, + { + "entropy": 0.029704924078851037, + "epoch": 0.18867671691792295, + "grad_norm": 1.546875, + "learning_rate": 1.8710438972279572e-05, + "loss": 0.030961766839027405, + "mean_token_accuracy": 0.9872025232762098, + "num_tokens": 9348546.0, + "step": 1760 + }, + { + "entropy": 0.026529241763273603, + "epoch": 0.190820770519263, + "grad_norm": 2.828125, + "learning_rate": 1.867612237401019e-05, + "loss": 0.026679041981697082, + "mean_token_accuracy": 0.9885351285338402, + "num_tokens": 9455489.0, + "step": 1780 + }, + { + "entropy": 0.028892852607532403, + "epoch": 0.192964824120603, + "grad_norm": 4.03125, + "learning_rate": 1.8641387480922816e-05, + "loss": 0.03060615360736847, + "mean_token_accuracy": 0.9880913089960813, + "num_tokens": 9561715.0, + "step": 1800 + }, + { + "entropy": 0.03127149782612833, + "epoch": 0.19510887772194305, + "grad_norm": 1.4375, + "learning_rate": 1.860623596766254e-05, + "loss": 0.03185727298259735, + "mean_token_accuracy": 0.9862949691712857, + "num_tokens": 9671395.0, + "step": 1820 + }, + { + "entropy": 0.030052698707368108, + "epoch": 0.1972529313232831, + "grad_norm": 1.7265625, + "learning_rate": 1.8570669528960627e-05, + "loss": 0.030486562848091127, + "mean_token_accuracy": 0.9874879900366068, + "num_tokens": 9772135.0, + "step": 1840 + }, + { + "entropy": 0.028759777540108188, + "epoch": 0.19939698492462313, + "grad_norm": 1.5546875, + "learning_rate": 1.8534689879552806e-05, + "loss": 0.02927035093307495, + "mean_token_accuracy": 0.9883296392858029, + "num_tokens": 9875332.0, + "step": 1860 + }, + { + "entropy": 0.026194313674932346, + "epoch": 0.20154103852596314, + "grad_norm": 1.2421875, + "learning_rate": 1.8498298754096597e-05, + "loss": 0.027384281158447266, + "mean_token_accuracy": 0.9899293314665556, + "num_tokens": 9975866.0, + "step": 1880 + }, + { + "entropy": 0.030918022169134928, + "epoch": 0.20368509212730318, + "grad_norm": 1.7421875, + "learning_rate": 1.8461497907087672e-05, + "loss": 0.03030203580856323, + "mean_token_accuracy": 0.9866726931184531, + "num_tokens": 10091897.0, + "step": 1900 + }, + { + "entropy": 0.02552133451026748, + "epoch": 0.20582914572864322, + "grad_norm": 1.1875, + "learning_rate": 1.8424289112775284e-05, + "loss": 0.027020731568336488, + "mean_token_accuracy": 0.9879696272313595, + "num_tokens": 10189590.0, + "step": 1920 + }, + { + "entropy": 0.026746707828442594, + "epoch": 0.20797319932998326, + "grad_norm": 3.59375, + "learning_rate": 1.8386674165076706e-05, + "loss": 0.026832282543182373, + "mean_token_accuracy": 0.9871037002652884, + "num_tokens": 10290612.0, + "step": 1940 + }, + { + "entropy": 0.023915313509087356, + "epoch": 0.21011725293132327, + "grad_norm": 3.75, + "learning_rate": 1.8348654877490765e-05, + "loss": 0.03067324459552765, + "mean_token_accuracy": 0.9885836262255907, + "num_tokens": 10400962.0, + "step": 1960 + }, + { + "entropy": 0.027086517597672354, + "epoch": 0.2122613065326633, + "grad_norm": 2.078125, + "learning_rate": 1.831023308301039e-05, + "loss": 0.028256928920745848, + "mean_token_accuracy": 0.9885173581540585, + "num_tokens": 10506362.0, + "step": 1980 + }, + { + "entropy": 0.02741672217816813, + "epoch": 0.21440536013400335, + "grad_norm": 0.9140625, + "learning_rate": 1.827141063403425e-05, + "loss": 0.02612453103065491, + "mean_token_accuracy": 0.9899405423551798, + "num_tokens": 10614125.0, + "step": 2000 + }, + { + "epoch": 0.21440536013400335, + "eval_entropy": 0.024848208941170014, + "eval_loss": 0.026614099740982056, + "eval_mean_token_accuracy": 0.9895401794115702, + "eval_num_tokens": 10614125.0, + "eval_runtime": 20.3696, + "eval_samples_per_second": 36.82, + "eval_steps_per_second": 18.41, + "step": 2000 + }, + { + "entropy": 0.024184393659743363, + "epoch": 0.2165494137353434, + "grad_norm": 1.1015625, + "learning_rate": 1.8232189402277446e-05, + "loss": 0.029155582189559937, + "mean_token_accuracy": 0.9877722147852183, + "num_tokens": 10718545.0, + "step": 2020 + }, + { + "entropy": 0.026252732726061368, + "epoch": 0.2186934673366834, + "grad_norm": 1.8046875, + "learning_rate": 1.8192571278681253e-05, + "loss": 0.026098987460136412, + "mean_token_accuracy": 0.9895182501524686, + "num_tokens": 10826477.0, + "step": 2040 + }, + { + "entropy": 0.025545999853238754, + "epoch": 0.22083752093802345, + "grad_norm": 2.234375, + "learning_rate": 1.8152558173321987e-05, + "loss": 0.026094555854797363, + "mean_token_accuracy": 0.9890841003507376, + "num_tokens": 10925874.0, + "step": 2060 + }, + { + "entropy": 0.026384522972375635, + "epoch": 0.2229815745393635, + "grad_norm": 2.40625, + "learning_rate": 1.8112152015318894e-05, + "loss": 0.029251503944396972, + "mean_token_accuracy": 0.9880545783787966, + "num_tokens": 11033510.0, + "step": 2080 + }, + { + "entropy": 0.025210863275060547, + "epoch": 0.22512562814070353, + "grad_norm": 2.703125, + "learning_rate": 1.8071354752741137e-05, + "loss": 0.027124592661857606, + "mean_token_accuracy": 0.9892004739493132, + "num_tokens": 11137817.0, + "step": 2100 + }, + { + "entropy": 0.027089714014164202, + "epoch": 0.22726968174204354, + "grad_norm": 1.7578125, + "learning_rate": 1.8030168352513894e-05, + "loss": 0.026511949300765992, + "mean_token_accuracy": 0.9889535740017891, + "num_tokens": 11245185.0, + "step": 2120 + }, + { + "entropy": 0.024535768478563112, + "epoch": 0.22941373534338358, + "grad_norm": 4.625, + "learning_rate": 1.7988594800323515e-05, + "loss": 0.02658265233039856, + "mean_token_accuracy": 0.9905748564749957, + "num_tokens": 11349330.0, + "step": 2140 + }, + { + "entropy": 0.02754759546187415, + "epoch": 0.23155778894472362, + "grad_norm": 1.9609375, + "learning_rate": 1.7946636100521798e-05, + "loss": 0.027984172105789185, + "mean_token_accuracy": 0.9884784188121557, + "num_tokens": 11461079.0, + "step": 2160 + }, + { + "entropy": 0.025805097624288464, + "epoch": 0.23370184254606366, + "grad_norm": 2.078125, + "learning_rate": 1.7904294276029346e-05, + "loss": 0.026595547795295715, + "mean_token_accuracy": 0.9894516475498676, + "num_tokens": 11563866.0, + "step": 2180 + }, + { + "entropy": 0.026482580404353938, + "epoch": 0.23584589614740367, + "grad_norm": 2.765625, + "learning_rate": 1.7861571368238035e-05, + "loss": 0.02969781160354614, + "mean_token_accuracy": 0.9875592797994613, + "num_tokens": 11669471.0, + "step": 2200 + }, + { + "entropy": 0.028677671598052255, + "epoch": 0.2379899497487437, + "grad_norm": 2.21875, + "learning_rate": 1.7818469436912605e-05, + "loss": 0.02763218283653259, + "mean_token_accuracy": 0.9888417005538941, + "num_tokens": 11768609.0, + "step": 2220 + }, + { + "entropy": 0.026651295177725843, + "epoch": 0.24013400335008375, + "grad_norm": 1.859375, + "learning_rate": 1.7774990560091356e-05, + "loss": 0.02962457537651062, + "mean_token_accuracy": 0.9879184097051621, + "num_tokens": 11880854.0, + "step": 2240 + }, + { + "entropy": 0.02831397352310887, + "epoch": 0.2422780569514238, + "grad_norm": 1.8984375, + "learning_rate": 1.773113683398593e-05, + "loss": 0.0296058714389801, + "mean_token_accuracy": 0.9883440136909485, + "num_tokens": 11986546.0, + "step": 2260 + }, + { + "entropy": 0.0280173282616488, + "epoch": 0.24442211055276383, + "grad_norm": 1.9609375, + "learning_rate": 1.76869103728803e-05, + "loss": 0.026104235649108888, + "mean_token_accuracy": 0.9899998947978019, + "num_tokens": 12089099.0, + "step": 2280 + }, + { + "entropy": 0.027054303306613292, + "epoch": 0.24656616415410385, + "grad_norm": 1.7734375, + "learning_rate": 1.7642313309028798e-05, + "loss": 0.029236692190170287, + "mean_token_accuracy": 0.988573432713747, + "num_tokens": 12198358.0, + "step": 2300 + }, + { + "entropy": 0.025954095610904913, + "epoch": 0.24871021775544389, + "grad_norm": 2.53125, + "learning_rate": 1.7597347792553313e-05, + "loss": 0.02622365057468414, + "mean_token_accuracy": 0.9882505975663662, + "num_tokens": 12310140.0, + "step": 2320 + }, + { + "entropy": 0.02558089109697903, + "epoch": 0.2508542713567839, + "grad_norm": 2.5625, + "learning_rate": 1.7552015991339655e-05, + "loss": 0.025320738554000854, + "mean_token_accuracy": 0.9904545627534389, + "num_tokens": 12413395.0, + "step": 2340 + }, + { + "entropy": 0.02581585149782768, + "epoch": 0.25299832495812397, + "grad_norm": 1.59375, + "learning_rate": 1.7506320090933012e-05, + "loss": 0.02813691198825836, + "mean_token_accuracy": 0.9890731148421764, + "num_tokens": 12517491.0, + "step": 2360 + }, + { + "entropy": 0.029305921567720362, + "epoch": 0.255142378559464, + "grad_norm": 1.46875, + "learning_rate": 1.74602622944326e-05, + "loss": 0.030352601408958436, + "mean_token_accuracy": 0.9881349734961986, + "num_tokens": 12627025.0, + "step": 2380 + }, + { + "entropy": 0.026154012439656073, + "epoch": 0.25728643216080405, + "grad_norm": 2.03125, + "learning_rate": 1.7413844822385423e-05, + "loss": 0.0258339524269104, + "mean_token_accuracy": 0.9894504573196172, + "num_tokens": 12726236.0, + "step": 2400 + }, + { + "entropy": 0.024479785768926378, + "epoch": 0.25943048576214406, + "grad_norm": 2.046875, + "learning_rate": 1.736706991267924e-05, + "loss": 0.027092832326889037, + "mean_token_accuracy": 0.9882367230951786, + "num_tokens": 12834614.0, + "step": 2420 + }, + { + "entropy": 0.02744944194200798, + "epoch": 0.26157453936348407, + "grad_norm": 2.734375, + "learning_rate": 1.7319939820434656e-05, + "loss": 0.026963105797767638, + "mean_token_accuracy": 0.9900378599762917, + "num_tokens": 12940452.0, + "step": 2440 + }, + { + "entropy": 0.02669895636208821, + "epoch": 0.26371859296482414, + "grad_norm": 6.9375, + "learning_rate": 1.72724568178964e-05, + "loss": 0.02737392783164978, + "mean_token_accuracy": 0.9884641785174608, + "num_tokens": 13038623.0, + "step": 2460 + }, + { + "entropy": 0.02623358482396725, + "epoch": 0.26586264656616415, + "grad_norm": 1.65625, + "learning_rate": 1.7224623194323785e-05, + "loss": 0.026823097467422487, + "mean_token_accuracy": 0.9890745796263218, + "num_tokens": 13145771.0, + "step": 2480 + }, + { + "entropy": 0.02654599146626424, + "epoch": 0.26800670016750416, + "grad_norm": 2.125, + "learning_rate": 1.717644125588032e-05, + "loss": 0.02797144651412964, + "mean_token_accuracy": 0.9888463616371155, + "num_tokens": 13258191.0, + "step": 2500 + }, + { + "epoch": 0.26800670016750416, + "eval_entropy": 0.02707736179015289, + "eval_loss": 0.024532999843358994, + "eval_mean_token_accuracy": 0.9901215243339538, + "eval_num_tokens": 13258191.0, + "eval_runtime": 20.2919, + "eval_samples_per_second": 36.961, + "eval_steps_per_second": 18.48, + "step": 2500 + }, + { + "entropy": 0.027981107782488836, + "epoch": 0.27015075376884423, + "grad_norm": 2.140625, + "learning_rate": 1.7127913325522546e-05, + "loss": 0.027564391493797302, + "mean_token_accuracy": 0.9884749103337527, + "num_tokens": 13360032.0, + "step": 2520 + }, + { + "entropy": 0.024831563800216828, + "epoch": 0.27229480737018424, + "grad_norm": 2.625, + "learning_rate": 1.7079041742888023e-05, + "loss": 0.027046608924865722, + "mean_token_accuracy": 0.9889734648168087, + "num_tokens": 13459997.0, + "step": 2540 + }, + { + "entropy": 0.025509285347288822, + "epoch": 0.2744388609715243, + "grad_norm": 2.875, + "learning_rate": 1.702982886418254e-05, + "loss": 0.026221618056297302, + "mean_token_accuracy": 0.9900430839508771, + "num_tokens": 13562047.0, + "step": 2560 + }, + { + "entropy": 0.02474073741786924, + "epoch": 0.2765829145728643, + "grad_norm": 2.875, + "learning_rate": 1.6980277062066513e-05, + "loss": 0.02481588125228882, + "mean_token_accuracy": 0.990446874499321, + "num_tokens": 13659557.0, + "step": 2580 + }, + { + "entropy": 0.026416731743847777, + "epoch": 0.27872696817420434, + "grad_norm": 1.7734375, + "learning_rate": 1.69303887255406e-05, + "loss": 0.026889228820800783, + "mean_token_accuracy": 0.9888020649552345, + "num_tokens": 13773310.0, + "step": 2600 + }, + { + "entropy": 0.0239254101291408, + "epoch": 0.2808710217755444, + "grad_norm": 1.4375, + "learning_rate": 1.6880166259830516e-05, + "loss": 0.02351238876581192, + "mean_token_accuracy": 0.9907949134707451, + "num_tokens": 13893984.0, + "step": 2620 + }, + { + "entropy": 0.02596387622606926, + "epoch": 0.2830150753768844, + "grad_norm": 1.859375, + "learning_rate": 1.682961208627108e-05, + "loss": 0.025493481755256654, + "mean_token_accuracy": 0.9891014736145735, + "num_tokens": 13994782.0, + "step": 2640 + }, + { + "entropy": 0.023969465121626853, + "epoch": 0.28515912897822443, + "grad_norm": 4.21875, + "learning_rate": 1.6778728642189456e-05, + "loss": 0.025132390856742858, + "mean_token_accuracy": 0.9904550548642874, + "num_tokens": 14106793.0, + "step": 2660 + }, + { + "entropy": 0.023048270364415657, + "epoch": 0.2873031825795645, + "grad_norm": 3.390625, + "learning_rate": 1.6727518380787678e-05, + "loss": 0.026464682817459107, + "mean_token_accuracy": 0.98928731828928, + "num_tokens": 14215090.0, + "step": 2680 + }, + { + "entropy": 0.024989640445710393, + "epoch": 0.2894472361809045, + "grad_norm": 1.0546875, + "learning_rate": 1.6675983771024345e-05, + "loss": 0.02458348125219345, + "mean_token_accuracy": 0.9901158206164837, + "num_tokens": 14321065.0, + "step": 2700 + }, + { + "entropy": 0.023273660653694607, + "epoch": 0.2915912897822446, + "grad_norm": 2.203125, + "learning_rate": 1.6624127297495606e-05, + "loss": 0.02475869804620743, + "mean_token_accuracy": 0.9907850239425897, + "num_tokens": 14421911.0, + "step": 2720 + }, + { + "entropy": 0.02422142572395387, + "epoch": 0.2937353433835846, + "grad_norm": 2.015625, + "learning_rate": 1.6571951460315362e-05, + "loss": 0.027780982851982116, + "mean_token_accuracy": 0.9886230506002903, + "num_tokens": 14529639.0, + "step": 2740 + }, + { + "entropy": 0.0267424136016416, + "epoch": 0.2958793969849246, + "grad_norm": 1.9765625, + "learning_rate": 1.6519458774994728e-05, + "loss": 0.026475533843040466, + "mean_token_accuracy": 0.9882622588425874, + "num_tokens": 14634262.0, + "step": 2760 + }, + { + "entropy": 0.023857305470937718, + "epoch": 0.29802345058626467, + "grad_norm": 2.390625, + "learning_rate": 1.646665177232077e-05, + "loss": 0.026801908016204835, + "mean_token_accuracy": 0.9902123864740133, + "num_tokens": 14739645.0, + "step": 2780 + }, + { + "entropy": 0.027312484692993168, + "epoch": 0.3001675041876047, + "grad_norm": 1.9765625, + "learning_rate": 1.6413532998234477e-05, + "loss": 0.027185559272766113, + "mean_token_accuracy": 0.9890467882156372, + "num_tokens": 14844155.0, + "step": 2800 + }, + { + "entropy": 0.02615051964248778, + "epoch": 0.3023115577889447, + "grad_norm": 1.859375, + "learning_rate": 1.6360105013708022e-05, + "loss": 0.02619759738445282, + "mean_token_accuracy": 0.9885728180408477, + "num_tokens": 14947978.0, + "step": 2820 + }, + { + "entropy": 0.023987949729507817, + "epoch": 0.30445561139028476, + "grad_norm": 1.2734375, + "learning_rate": 1.6306370394621274e-05, + "loss": 0.02713790535926819, + "mean_token_accuracy": 0.989062811806798, + "num_tokens": 15043851.0, + "step": 2840 + }, + { + "entropy": 0.024998777841574338, + "epoch": 0.3065996649916248, + "grad_norm": 2.59375, + "learning_rate": 1.625233173163765e-05, + "loss": 0.02687191665172577, + "mean_token_accuracy": 0.989005958288908, + "num_tokens": 15168916.0, + "step": 2860 + }, + { + "entropy": 0.025794855099957204, + "epoch": 0.30874371859296484, + "grad_norm": 1.296875, + "learning_rate": 1.619799163007916e-05, + "loss": 0.02666613459587097, + "mean_token_accuracy": 0.989616809785366, + "num_tokens": 15283048.0, + "step": 2880 + }, + { + "entropy": 0.023574712648041896, + "epoch": 0.31088777219430486, + "grad_norm": 1.2578125, + "learning_rate": 1.6143352709800847e-05, + "loss": 0.022058571875095367, + "mean_token_accuracy": 0.9904920358210803, + "num_tokens": 15401868.0, + "step": 2900 + }, + { + "entropy": 0.02349452629246116, + "epoch": 0.31303182579564487, + "grad_norm": 2.375, + "learning_rate": 1.6088417605064453e-05, + "loss": 0.025521630048751832, + "mean_token_accuracy": 0.9904454626142979, + "num_tokens": 15512377.0, + "step": 2920 + }, + { + "entropy": 0.024990445605726563, + "epoch": 0.31517587939698494, + "grad_norm": 1.7734375, + "learning_rate": 1.6033188964411407e-05, + "loss": 0.027597138285636903, + "mean_token_accuracy": 0.9910409476608038, + "num_tokens": 15626267.0, + "step": 2940 + }, + { + "entropy": 0.022828791862048094, + "epoch": 0.31731993299832495, + "grad_norm": 3.65625, + "learning_rate": 1.5977669450535164e-05, + "loss": 0.023614174127578734, + "mean_token_accuracy": 0.9908586539328098, + "num_tokens": 15732131.0, + "step": 2960 + }, + { + "entropy": 0.025171676824174937, + "epoch": 0.319463986599665, + "grad_norm": 1.0546875, + "learning_rate": 1.5921861740152803e-05, + "loss": 0.029384702444076538, + "mean_token_accuracy": 0.9898778181523085, + "num_tokens": 15827873.0, + "step": 2980 + }, + { + "entropy": 0.025553616087654517, + "epoch": 0.32160804020100503, + "grad_norm": 1.8828125, + "learning_rate": 1.586576852387599e-05, + "loss": 0.022602304816246033, + "mean_token_accuracy": 0.9912034373730421, + "num_tokens": 15920514.0, + "step": 3000 + }, + { + "epoch": 0.32160804020100503, + "eval_entropy": 0.024538942879318106, + "eval_loss": 0.02338256873190403, + "eval_mean_token_accuracy": 0.9907407927513122, + "eval_num_tokens": 15920514.0, + "eval_runtime": 20.2778, + "eval_samples_per_second": 36.986, + "eval_steps_per_second": 18.493, + "step": 3000 + }, + { + "entropy": 0.021682905555485375, + "epoch": 0.32375209380234504, + "grad_norm": 2.46875, + "learning_rate": 1.5809392506081244e-05, + "loss": 0.022935517132282257, + "mean_token_accuracy": 0.9904364123940468, + "num_tokens": 16035334.0, + "step": 3020 + }, + { + "entropy": 0.01898658178452024, + "epoch": 0.3258961474036851, + "grad_norm": 1.6796875, + "learning_rate": 1.5752736404779577e-05, + "loss": 0.02092217206954956, + "mean_token_accuracy": 0.984833637624979, + "num_tokens": 16140327.0, + "step": 3040 + }, + { + "entropy": 0.021216248062864908, + "epoch": 0.3280402010050251, + "grad_norm": 2.3125, + "learning_rate": 1.5695802951485434e-05, + "loss": 0.024958278238773345, + "mean_token_accuracy": 0.9900662276893855, + "num_tokens": 16255099.0, + "step": 3060 + }, + { + "entropy": 0.023438269265625422, + "epoch": 0.33018425460636514, + "grad_norm": 1.7421875, + "learning_rate": 1.5638594891085e-05, + "loss": 0.024300065636634827, + "mean_token_accuracy": 0.9898340333253145, + "num_tokens": 16366533.0, + "step": 3080 + }, + { + "entropy": 0.02112419887921533, + "epoch": 0.3323283082077052, + "grad_norm": 1.5078125, + "learning_rate": 1.5581114981703878e-05, + "loss": 0.02245298624038696, + "mean_token_accuracy": 0.9914943426847458, + "num_tokens": 16469428.0, + "step": 3100 + }, + { + "entropy": 0.023446582856286112, + "epoch": 0.3344723618090452, + "grad_norm": 2.78125, + "learning_rate": 1.5523365994574098e-05, + "loss": 0.024820271134376525, + "mean_token_accuracy": 0.990750040858984, + "num_tokens": 16582498.0, + "step": 3120 + }, + { + "entropy": 0.022754177751903627, + "epoch": 0.3366164154103853, + "grad_norm": 1.8203125, + "learning_rate": 1.546535071390052e-05, + "loss": 0.025619438290596007, + "mean_token_accuracy": 0.9895062685012818, + "num_tokens": 16693045.0, + "step": 3140 + }, + { + "entropy": 0.023310942134048673, + "epoch": 0.3387604690117253, + "grad_norm": 2.546875, + "learning_rate": 1.540707193672659e-05, + "loss": 0.02326971888542175, + "mean_token_accuracy": 0.9908227741718292, + "num_tokens": 16796636.0, + "step": 3160 + }, + { + "entropy": 0.02383078648617811, + "epoch": 0.3409045226130653, + "grad_norm": 3.390625, + "learning_rate": 1.53485324727995e-05, + "loss": 0.025269970297813416, + "mean_token_accuracy": 0.9894092302769423, + "num_tokens": 16908823.0, + "step": 3180 + }, + { + "entropy": 0.025040690238802198, + "epoch": 0.3430485762144054, + "grad_norm": 2.515625, + "learning_rate": 1.5289735144434733e-05, + "loss": 0.025703960657119752, + "mean_token_accuracy": 0.9828102149069309, + "num_tokens": 17011175.0, + "step": 3200 + }, + { + "entropy": 0.0229463691044657, + "epoch": 0.3451926298157454, + "grad_norm": 3.9375, + "learning_rate": 1.5230682786379958e-05, + "loss": 0.0237918958067894, + "mean_token_accuracy": 0.9901813805103302, + "num_tokens": 17118025.0, + "step": 3220 + }, + { + "entropy": 0.02446629966070759, + "epoch": 0.3473366834170854, + "grad_norm": 1.3359375, + "learning_rate": 1.5171378245678398e-05, + "loss": 0.025769346952438356, + "mean_token_accuracy": 0.988752768561244, + "num_tokens": 17225787.0, + "step": 3240 + }, + { + "entropy": 0.023929561218301386, + "epoch": 0.34948073701842547, + "grad_norm": 2.890625, + "learning_rate": 1.5111824381531543e-05, + "loss": 0.02350829541683197, + "mean_token_accuracy": 0.9899691499769687, + "num_tokens": 17326334.0, + "step": 3260 + }, + { + "entropy": 0.023094384433488813, + "epoch": 0.3516247906197655, + "grad_norm": 1.3125, + "learning_rate": 1.5052024065161321e-05, + "loss": 0.025211021304130554, + "mean_token_accuracy": 0.989602592214942, + "num_tokens": 17427911.0, + "step": 3280 + }, + { + "entropy": 0.02580152012506005, + "epoch": 0.35376884422110555, + "grad_norm": 0.88671875, + "learning_rate": 1.4991980179671656e-05, + "loss": 0.028021180629730226, + "mean_token_accuracy": 0.9875154685229063, + "num_tokens": 17535492.0, + "step": 3300 + }, + { + "entropy": 0.025954745234002985, + "epoch": 0.35591289782244556, + "grad_norm": 1.46875, + "learning_rate": 1.4931695619909466e-05, + "loss": 0.023851674795150758, + "mean_token_accuracy": 0.9898436293005943, + "num_tokens": 17641670.0, + "step": 3320 + }, + { + "entropy": 0.024273743057074172, + "epoch": 0.3580569514237856, + "grad_norm": 1.7109375, + "learning_rate": 1.4871173292325106e-05, + "loss": 0.02511066496372223, + "mean_token_accuracy": 0.989355530589819, + "num_tokens": 17742555.0, + "step": 3340 + }, + { + "entropy": 0.02353285207400404, + "epoch": 0.36020100502512564, + "grad_norm": 1.4921875, + "learning_rate": 1.4810416114832236e-05, + "loss": 0.02515583038330078, + "mean_token_accuracy": 0.9906750213354826, + "num_tokens": 17848901.0, + "step": 3360 + }, + { + "entropy": 0.022243685176727014, + "epoch": 0.36234505862646565, + "grad_norm": 2.453125, + "learning_rate": 1.474942701666715e-05, + "loss": 0.02309694290161133, + "mean_token_accuracy": 0.9912830431014299, + "num_tokens": 17955457.0, + "step": 3380 + }, + { + "entropy": 0.022329559885474737, + "epoch": 0.3644891122278057, + "grad_norm": 1.6171875, + "learning_rate": 1.4688208938247535e-05, + "loss": 0.024044957756996155, + "mean_token_accuracy": 0.9913502413779497, + "num_tokens": 18054439.0, + "step": 3400 + }, + { + "entropy": 0.023860087489720173, + "epoch": 0.36663316582914574, + "grad_norm": 1.84375, + "learning_rate": 1.462676483103072e-05, + "loss": 0.023865839838981627, + "mean_token_accuracy": 0.9902952261269092, + "num_tokens": 18159108.0, + "step": 3420 + }, + { + "entropy": 0.021247414961362666, + "epoch": 0.36877721943048575, + "grad_norm": 1.8359375, + "learning_rate": 1.4565097657371378e-05, + "loss": 0.021402713656425477, + "mean_token_accuracy": 0.9921348176896572, + "num_tokens": 18268330.0, + "step": 3440 + }, + { + "entropy": 0.021685771951888456, + "epoch": 0.3709212730318258, + "grad_norm": 1.2109375, + "learning_rate": 1.4503210390378701e-05, + "loss": 0.026408180594444275, + "mean_token_accuracy": 0.9894901543855668, + "num_tokens": 18376382.0, + "step": 3460 + }, + { + "entropy": 0.025453939728959086, + "epoch": 0.37306532663316583, + "grad_norm": 2.09375, + "learning_rate": 1.444110601377306e-05, + "loss": 0.026739346981048583, + "mean_token_accuracy": 0.9884634926915169, + "num_tokens": 18489633.0, + "step": 3480 + }, + { + "entropy": 0.02501170370624095, + "epoch": 0.37520938023450584, + "grad_norm": 2.03125, + "learning_rate": 1.437878752174216e-05, + "loss": 0.02536824345588684, + "mean_token_accuracy": 0.9898253668099641, + "num_tokens": 18597861.0, + "step": 3500 + }, + { + "epoch": 0.37520938023450584, + "eval_entropy": 0.0244218321183871, + "eval_loss": 0.02227754145860672, + "eval_mean_token_accuracy": 0.9911262426376343, + "eval_num_tokens": 18597861.0, + "eval_runtime": 20.324, + "eval_samples_per_second": 36.902, + "eval_steps_per_second": 18.451, + "step": 3500 + }, + { + "entropy": 0.0246668197542931, + "epoch": 0.3773534338358459, + "grad_norm": 1.7421875, + "learning_rate": 1.4316257918796671e-05, + "loss": 0.025204175710678102, + "mean_token_accuracy": 0.99043660312891, + "num_tokens": 18697672.0, + "step": 3520 + }, + { + "entropy": 0.022950895108533587, + "epoch": 0.3794974874371859, + "grad_norm": 1.828125, + "learning_rate": 1.4253520219625387e-05, + "loss": 0.02428869903087616, + "mean_token_accuracy": 0.9907822337001562, + "num_tokens": 18811789.0, + "step": 3540 + }, + { + "entropy": 0.023854929314802577, + "epoch": 0.381641541038526, + "grad_norm": 1.9609375, + "learning_rate": 1.4190577448949876e-05, + "loss": 0.023869043588638304, + "mean_token_accuracy": 0.9913762111216784, + "num_tokens": 18911590.0, + "step": 3560 + }, + { + "entropy": 0.024182767125876126, + "epoch": 0.383785594639866, + "grad_norm": 2.546875, + "learning_rate": 1.4127432641378649e-05, + "loss": 0.023478889465332033, + "mean_token_accuracy": 0.9907276172190904, + "num_tokens": 19026734.0, + "step": 3580 + }, + { + "entropy": 0.020359245626377743, + "epoch": 0.385929648241206, + "grad_norm": 1.6640625, + "learning_rate": 1.4064088841260857e-05, + "loss": 0.023241102695465088, + "mean_token_accuracy": 0.9907599698752165, + "num_tokens": 19129417.0, + "step": 3600 + }, + { + "entropy": 0.021383443258810076, + "epoch": 0.3880737018425461, + "grad_norm": 1.3203125, + "learning_rate": 1.4000549102539516e-05, + "loss": 0.023419806361198427, + "mean_token_accuracy": 0.990417006239295, + "num_tokens": 19235205.0, + "step": 3620 + }, + { + "entropy": 0.020958786468827383, + "epoch": 0.3902177554438861, + "grad_norm": 1.046875, + "learning_rate": 1.3936816488604273e-05, + "loss": 0.02310475558042526, + "mean_token_accuracy": 0.991861392185092, + "num_tokens": 19333977.0, + "step": 3640 + }, + { + "entropy": 0.022316582887765436, + "epoch": 0.3923618090452261, + "grad_norm": 2.84375, + "learning_rate": 1.3872894072143708e-05, + "loss": 0.02316024452447891, + "mean_token_accuracy": 0.9916662760078907, + "num_tokens": 19433681.0, + "step": 3660 + }, + { + "entropy": 0.023413096193553428, + "epoch": 0.3945058626465662, + "grad_norm": 1.765625, + "learning_rate": 1.3808784934997199e-05, + "loss": 0.026311498880386353, + "mean_token_accuracy": 0.9898762315511703, + "num_tokens": 19543600.0, + "step": 3680 + }, + { + "entropy": 0.02430928884550667, + "epoch": 0.3966499162479062, + "grad_norm": 1.640625, + "learning_rate": 1.3744492168006332e-05, + "loss": 0.023604103922843934, + "mean_token_accuracy": 0.9905571412295103, + "num_tokens": 19656000.0, + "step": 3700 + }, + { + "entropy": 0.02260660900547009, + "epoch": 0.39879396984924625, + "grad_norm": 2.078125, + "learning_rate": 1.368001887086589e-05, + "loss": 0.024041768908500672, + "mean_token_accuracy": 0.9895115055143833, + "num_tokens": 19756250.0, + "step": 3720 + }, + { + "entropy": 0.02264130887056126, + "epoch": 0.40093802345058627, + "grad_norm": 1.625, + "learning_rate": 1.361536815197441e-05, + "loss": 0.025104725360870363, + "mean_token_accuracy": 0.9906443733721971, + "num_tokens": 19878359.0, + "step": 3740 + }, + { + "entropy": 0.023430266666673562, + "epoch": 0.4030820770519263, + "grad_norm": 1.65625, + "learning_rate": 1.3550543128284323e-05, + "loss": 0.024283410608768465, + "mean_token_accuracy": 0.9907973647117615, + "num_tokens": 19972202.0, + "step": 3760 + }, + { + "entropy": 0.02248989698346122, + "epoch": 0.40522613065326635, + "grad_norm": 1.4609375, + "learning_rate": 1.348554692515167e-05, + "loss": 0.02604263722896576, + "mean_token_accuracy": 0.9889465566724539, + "num_tokens": 20076482.0, + "step": 3780 + }, + { + "entropy": 0.02452128016102506, + "epoch": 0.40737018425460636, + "grad_norm": 1.703125, + "learning_rate": 1.3420382676185421e-05, + "loss": 0.025164645910263062, + "mean_token_accuracy": 0.9902698881924152, + "num_tokens": 20186450.0, + "step": 3800 + }, + { + "entropy": 0.024925458200004868, + "epoch": 0.4095142378559464, + "grad_norm": 1.921875, + "learning_rate": 1.335505352309642e-05, + "loss": 0.025616466999053955, + "mean_token_accuracy": 0.989701810106635, + "num_tokens": 20290995.0, + "step": 3820 + }, + { + "entropy": 0.022864083916329037, + "epoch": 0.41165829145728644, + "grad_norm": 1.8125, + "learning_rate": 1.3289562615545883e-05, + "loss": 0.02312360405921936, + "mean_token_accuracy": 0.9906341150403023, + "num_tokens": 20392839.0, + "step": 3840 + }, + { + "entropy": 0.022927879701637722, + "epoch": 0.41380234505862645, + "grad_norm": 1.2421875, + "learning_rate": 1.3223913110993576e-05, + "loss": 0.02285770922899246, + "mean_token_accuracy": 0.9910362754017115, + "num_tokens": 20499794.0, + "step": 3860 + }, + { + "entropy": 0.02117061285384807, + "epoch": 0.4159463986599665, + "grad_norm": 11.0, + "learning_rate": 1.3158108174545556e-05, + "loss": 0.021062937378883363, + "mean_token_accuracy": 0.9917857561260461, + "num_tokens": 20612104.0, + "step": 3880 + }, + { + "entropy": 0.02190584047739321, + "epoch": 0.41809045226130653, + "grad_norm": 2.625, + "learning_rate": 1.3092150978801605e-05, + "loss": 0.023377425968647003, + "mean_token_accuracy": 0.9904357828199863, + "num_tokens": 20723068.0, + "step": 3900 + }, + { + "entropy": 0.02153953154429473, + "epoch": 0.42023450586264655, + "grad_norm": 2.703125, + "learning_rate": 1.3026044703702249e-05, + "loss": 0.023467777669429778, + "mean_token_accuracy": 0.9905689381062984, + "num_tokens": 20826557.0, + "step": 3920 + }, + { + "entropy": 0.02152182651061594, + "epoch": 0.4223785594639866, + "grad_norm": 1.671875, + "learning_rate": 1.2959792536375471e-05, + "loss": 0.020291084051132204, + "mean_token_accuracy": 0.992015489563346, + "num_tokens": 20929814.0, + "step": 3940 + }, + { + "entropy": 0.02025915689789599, + "epoch": 0.4245226130653266, + "grad_norm": 1.7421875, + "learning_rate": 1.2893397670983022e-05, + "loss": 0.020092053711414336, + "mean_token_accuracy": 0.9926223222166299, + "num_tokens": 21032536.0, + "step": 3960 + }, + { + "entropy": 0.019897875330707394, + "epoch": 0.4266666666666667, + "grad_norm": 2.46875, + "learning_rate": 1.2826863308566437e-05, + "loss": 0.022923128306865694, + "mean_token_accuracy": 0.9915768329054118, + "num_tokens": 21125010.0, + "step": 3980 + }, + { + "entropy": 0.020706827863295984, + "epoch": 0.4288107202680067, + "grad_norm": 1.9140625, + "learning_rate": 1.2760192656892723e-05, + "loss": 0.022419747710227967, + "mean_token_accuracy": 0.9913075774908066, + "num_tokens": 21242867.0, + "step": 4000 + }, + { + "epoch": 0.4288107202680067, + "eval_entropy": 0.01964530904859809, + "eval_loss": 0.02178012579679489, + "eval_mean_token_accuracy": 0.9911314179102579, + "eval_num_tokens": 21242867.0, + "eval_runtime": 20.3146, + "eval_samples_per_second": 36.919, + "eval_steps_per_second": 18.46, + "step": 4000 + }, + { + "entropy": 0.02013387772437909, + "epoch": 0.4309547738693467, + "grad_norm": 1.5078125, + "learning_rate": 1.2693388930299672e-05, + "loss": 0.021522065997123717, + "mean_token_accuracy": 0.9929842289537192, + "num_tokens": 21346530.0, + "step": 4020 + }, + { + "entropy": 0.0202242263831522, + "epoch": 0.4330988274706868, + "grad_norm": 2.828125, + "learning_rate": 1.2626455349540918e-05, + "loss": 0.022661156952381134, + "mean_token_accuracy": 0.9919143192470073, + "num_tokens": 21458250.0, + "step": 4040 + }, + { + "entropy": 0.022103192698341444, + "epoch": 0.4352428810720268, + "grad_norm": 1.3671875, + "learning_rate": 1.2559395141630656e-05, + "loss": 0.02430972158908844, + "mean_token_accuracy": 0.9904460556805134, + "num_tokens": 21563008.0, + "step": 4060 + }, + { + "entropy": 0.02260455262266987, + "epoch": 0.4373869346733668, + "grad_norm": 1.4609375, + "learning_rate": 1.2492211539688036e-05, + "loss": 0.025785067677497865, + "mean_token_accuracy": 0.9895172834396362, + "num_tokens": 21668155.0, + "step": 4080 + }, + { + "entropy": 0.02297381363787281, + "epoch": 0.4395309882747069, + "grad_norm": 2.203125, + "learning_rate": 1.2424907782781313e-05, + "loss": 0.024609476327896118, + "mean_token_accuracy": 0.990400804951787, + "num_tokens": 21784031.0, + "step": 4100 + }, + { + "entropy": 0.022381592743295188, + "epoch": 0.4416750418760469, + "grad_norm": 1.609375, + "learning_rate": 1.2357487115771673e-05, + "loss": 0.023763097822666168, + "mean_token_accuracy": 0.99109130166471, + "num_tokens": 21893847.0, + "step": 4120 + }, + { + "entropy": 0.022086531718105106, + "epoch": 0.44381909547738696, + "grad_norm": 2.0, + "learning_rate": 1.2289952789156798e-05, + "loss": 0.020330893993377685, + "mean_token_accuracy": 0.9921020328998565, + "num_tokens": 22005454.0, + "step": 4140 + }, + { + "entropy": 0.02248057241056358, + "epoch": 0.445963149078727, + "grad_norm": 1.609375, + "learning_rate": 1.222230805891414e-05, + "loss": 0.02294687330722809, + "mean_token_accuracy": 0.9910975113511086, + "num_tokens": 22107232.0, + "step": 4160 + }, + { + "entropy": 0.02265706049165601, + "epoch": 0.448107202680067, + "grad_norm": 3.90625, + "learning_rate": 1.215455618634396e-05, + "loss": 0.025840884447097777, + "mean_token_accuracy": 0.9897211868315935, + "num_tokens": 22217548.0, + "step": 4180 + }, + { + "entropy": 0.02281195720179312, + "epoch": 0.45025125628140705, + "grad_norm": 3.1875, + "learning_rate": 1.2086700437912077e-05, + "loss": 0.024470710754394533, + "mean_token_accuracy": 0.9903297979384661, + "num_tokens": 22328036.0, + "step": 4200 + }, + { + "entropy": 0.02147264582108619, + "epoch": 0.45239530988274707, + "grad_norm": 1.6328125, + "learning_rate": 1.2018744085092399e-05, + "loss": 0.021890904009342193, + "mean_token_accuracy": 0.9921745974570513, + "num_tokens": 22439360.0, + "step": 4220 + }, + { + "entropy": 0.021090176403095028, + "epoch": 0.4545393634840871, + "grad_norm": 1.6171875, + "learning_rate": 1.1950690404209186e-05, + "loss": 0.022462236881256103, + "mean_token_accuracy": 0.992034525051713, + "num_tokens": 22543357.0, + "step": 4240 + }, + { + "entropy": 0.022680416493108167, + "epoch": 0.45668341708542715, + "grad_norm": 1.328125, + "learning_rate": 1.1882542676279098e-05, + "loss": 0.02402680218219757, + "mean_token_accuracy": 0.9908802334219218, + "num_tokens": 22650751.0, + "step": 4260 + }, + { + "entropy": 0.0232969627111288, + "epoch": 0.45882747068676716, + "grad_norm": 2.96875, + "learning_rate": 1.1814304186853009e-05, + "loss": 0.022290503978729247, + "mean_token_accuracy": 0.991101274266839, + "num_tokens": 22753548.0, + "step": 4280 + }, + { + "entropy": 0.021912004817795604, + "epoch": 0.4609715242881072, + "grad_norm": 3.359375, + "learning_rate": 1.1745978225857609e-05, + "loss": 0.022448597848415373, + "mean_token_accuracy": 0.9917845461517573, + "num_tokens": 22861310.0, + "step": 4300 + }, + { + "entropy": 0.021719314875508645, + "epoch": 0.46311557788944724, + "grad_norm": 2.046875, + "learning_rate": 1.1677568087436767e-05, + "loss": 0.023140157759189605, + "mean_token_accuracy": 0.9908079355955124, + "num_tokens": 22978927.0, + "step": 4320 + }, + { + "entropy": 0.021950446777191247, + "epoch": 0.46525963149078725, + "grad_norm": 2.203125, + "learning_rate": 1.1609077069792754e-05, + "loss": 0.0213756799697876, + "mean_token_accuracy": 0.9913494195789099, + "num_tokens": 23082226.0, + "step": 4340 + }, + { + "entropy": 0.02140526709590631, + "epoch": 0.4674036850921273, + "grad_norm": 2.15625, + "learning_rate": 1.1540508475027179e-05, + "loss": 0.020155489444732666, + "mean_token_accuracy": 0.9919397257268429, + "num_tokens": 23180655.0, + "step": 4360 + }, + { + "entropy": 0.017593615273926843, + "epoch": 0.46954773869346733, + "grad_norm": 1.75, + "learning_rate": 1.147186560898183e-05, + "loss": 0.02236589938402176, + "mean_token_accuracy": 0.9917930167168378, + "num_tokens": 23283721.0, + "step": 4380 + }, + { + "entropy": 0.020877945362190075, + "epoch": 0.47169179229480734, + "grad_norm": 1.625, + "learning_rate": 1.1403151781079278e-05, + "loss": 0.022862054407596588, + "mean_token_accuracy": 0.9906388968229294, + "num_tokens": 23390288.0, + "step": 4400 + }, + { + "entropy": 0.01995794570948419, + "epoch": 0.4738358458961474, + "grad_norm": 2.109375, + "learning_rate": 1.1334370304163306e-05, + "loss": 0.02168610394001007, + "mean_token_accuracy": 0.9925977524369956, + "num_tokens": 23485464.0, + "step": 4420 + }, + { + "entropy": 0.01932002087028195, + "epoch": 0.4759798994974874, + "grad_norm": 1.6796875, + "learning_rate": 1.1265524494339219e-05, + "loss": 0.02263712286949158, + "mean_token_accuracy": 0.9910555865615607, + "num_tokens": 23585708.0, + "step": 4440 + }, + { + "entropy": 0.021627131735112926, + "epoch": 0.4781239530988275, + "grad_norm": 2.140625, + "learning_rate": 1.1196617670813936e-05, + "loss": 0.022156818211078642, + "mean_token_accuracy": 0.9912719707936049, + "num_tokens": 23693455.0, + "step": 4460 + }, + { + "entropy": 0.02139281702184235, + "epoch": 0.4802680067001675, + "grad_norm": 2.1875, + "learning_rate": 1.1127653155735993e-05, + "loss": 0.022481553256511688, + "mean_token_accuracy": 0.9902749702334404, + "num_tokens": 23800058.0, + "step": 4480 + }, + { + "entropy": 0.02091277845497643, + "epoch": 0.4824120603015075, + "grad_norm": 2.328125, + "learning_rate": 1.1058634274035361e-05, + "loss": 0.02205648124217987, + "mean_token_accuracy": 0.9916612818837166, + "num_tokens": 23910439.0, + "step": 4500 + }, + { + "epoch": 0.4824120603015075, + "eval_entropy": 0.021846828331123107, + "eval_loss": 0.02092284895479679, + "eval_mean_token_accuracy": 0.9913039420445761, + "eval_num_tokens": 23910439.0, + "eval_runtime": 20.2669, + "eval_samples_per_second": 37.006, + "eval_steps_per_second": 18.503, + "step": 4500 + }, + { + "entropy": 0.021989129094345118, + "epoch": 0.4845561139028476, + "grad_norm": 1.765625, + "learning_rate": 1.0989564353263133e-05, + "loss": 0.02231614738702774, + "mean_token_accuracy": 0.9905249148607254, + "num_tokens": 24019503.0, + "step": 4520 + }, + { + "entropy": 0.02183805209115235, + "epoch": 0.4867001675041876, + "grad_norm": 2.3125, + "learning_rate": 1.0920446723431127e-05, + "loss": 0.02185622453689575, + "mean_token_accuracy": 0.9918582946062088, + "num_tokens": 24124480.0, + "step": 4540 + }, + { + "entropy": 0.02131056402449758, + "epoch": 0.48884422110552767, + "grad_norm": 1.3203125, + "learning_rate": 1.0851284716851295e-05, + "loss": 0.022905312478542328, + "mean_token_accuracy": 0.9910277899354696, + "num_tokens": 24230705.0, + "step": 4560 + }, + { + "entropy": 0.023312085462430333, + "epoch": 0.4909882747068677, + "grad_norm": 1.8828125, + "learning_rate": 1.0782081667975106e-05, + "loss": 0.022799497842788695, + "mean_token_accuracy": 0.9904710713773965, + "num_tokens": 24335812.0, + "step": 4580 + }, + { + "entropy": 0.02137677239184086, + "epoch": 0.4931323283082077, + "grad_norm": 1.34375, + "learning_rate": 1.0712840913232768e-05, + "loss": 0.02341741919517517, + "mean_token_accuracy": 0.9909932963550091, + "num_tokens": 24444839.0, + "step": 4600 + }, + { + "entropy": 0.022716682115378715, + "epoch": 0.49527638190954776, + "grad_norm": 1.484375, + "learning_rate": 1.0643565790872359e-05, + "loss": 0.02410309910774231, + "mean_token_accuracy": 0.9909039065241814, + "num_tokens": 24545937.0, + "step": 4620 + }, + { + "entropy": 0.022203819393803316, + "epoch": 0.49742043551088777, + "grad_norm": 1.8515625, + "learning_rate": 1.0574259640798908e-05, + "loss": 0.022010770440101624, + "mean_token_accuracy": 0.9920209400355816, + "num_tokens": 24647974.0, + "step": 4640 + }, + { + "entropy": 0.02109122319297967, + "epoch": 0.4995644891122278, + "grad_norm": 1.3359375, + "learning_rate": 1.0504925804413348e-05, + "loss": 0.02280532568693161, + "mean_token_accuracy": 0.9912972040474415, + "num_tokens": 24752530.0, + "step": 4660 + }, + { + "entropy": 0.022384429502744753, + "epoch": 0.5017085427135678, + "grad_norm": 2.390625, + "learning_rate": 1.0435567624451435e-05, + "loss": 0.027354520559310914, + "mean_token_accuracy": 0.98953907340765, + "num_tokens": 24854708.0, + "step": 4680 + }, + { + "entropy": 0.02178340100826972, + "epoch": 0.5038525963149079, + "grad_norm": 2.046875, + "learning_rate": 1.0366188444822577e-05, + "loss": 0.02108224630355835, + "mean_token_accuracy": 0.991971093788743, + "num_tokens": 24951913.0, + "step": 4700 + }, + { + "entropy": 0.0228582585350523, + "epoch": 0.5059966499162479, + "grad_norm": 1.578125, + "learning_rate": 1.0296791610448634e-05, + "loss": 0.02327609956264496, + "mean_token_accuracy": 0.9911777719855308, + "num_tokens": 25057377.0, + "step": 4720 + }, + { + "entropy": 0.022045019802681053, + "epoch": 0.5081407035175879, + "grad_norm": 1.1953125, + "learning_rate": 1.0227380467102627e-05, + "loss": 0.023243658244609833, + "mean_token_accuracy": 0.9909518156200647, + "num_tokens": 25170778.0, + "step": 4740 + }, + { + "entropy": 0.01989219032784604, + "epoch": 0.510284757118928, + "grad_norm": 5.03125, + "learning_rate": 1.0157958361247448e-05, + "loss": 0.020330929756164552, + "mean_token_accuracy": 0.9921452704817056, + "num_tokens": 25284310.0, + "step": 4760 + }, + { + "entropy": 0.021722077413278383, + "epoch": 0.512428810720268, + "grad_norm": 1.6015625, + "learning_rate": 1.0088528639874516e-05, + "loss": 0.02167322486639023, + "mean_token_accuracy": 0.9913335714489222, + "num_tokens": 25392904.0, + "step": 4780 + }, + { + "entropy": 0.022090970205681515, + "epoch": 0.5145728643216081, + "grad_norm": 1.390625, + "learning_rate": 1.0019094650342409e-05, + "loss": 0.023602089285850524, + "mean_token_accuracy": 0.9912930846214294, + "num_tokens": 25505548.0, + "step": 4800 + }, + { + "entropy": 0.021318517662666635, + "epoch": 0.516716917922948, + "grad_norm": 1.8046875, + "learning_rate": 9.94965974021548e-06, + "loss": 0.021860493719577788, + "mean_token_accuracy": 0.9906282421201468, + "num_tokens": 25616943.0, + "step": 4820 + }, + { + "entropy": 0.020716092844122614, + "epoch": 0.5188609715242881, + "grad_norm": 1.7109375, + "learning_rate": 9.880227257102483e-06, + "loss": 0.021078214049339294, + "mean_token_accuracy": 0.9921130206435919, + "num_tokens": 25727510.0, + "step": 4840 + }, + { + "entropy": 0.02081386552129061, + "epoch": 0.5210050251256282, + "grad_norm": 2.203125, + "learning_rate": 9.810800548495132e-06, + "loss": 0.019788502156734465, + "mean_token_accuracy": 0.9920309089124203, + "num_tokens": 25831138.0, + "step": 4860 + }, + { + "entropy": 0.020538337337939083, + "epoch": 0.5231490787269681, + "grad_norm": 3.671875, + "learning_rate": 9.741382961606768e-06, + "loss": 0.021504290401935577, + "mean_token_accuracy": 0.9916285052895546, + "num_tokens": 25938256.0, + "step": 4880 + }, + { + "entropy": 0.02026532054192103, + "epoch": 0.5252931323283082, + "grad_norm": 2.015625, + "learning_rate": 9.671977843210928e-06, + "loss": 0.022037246823310853, + "mean_token_accuracy": 0.9909355752170086, + "num_tokens": 26045653.0, + "step": 4900 + }, + { + "entropy": 0.021552794340914262, + "epoch": 0.5274371859296483, + "grad_norm": 1.9453125, + "learning_rate": 9.602588539480037e-06, + "loss": 0.024588188529014586, + "mean_token_accuracy": 0.9902191430330276, + "num_tokens": 26147507.0, + "step": 4920 + }, + { + "entropy": 0.02167862878472988, + "epoch": 0.5295812395309882, + "grad_norm": 1.9921875, + "learning_rate": 9.533218395824046e-06, + "loss": 0.023571619391441347, + "mean_token_accuracy": 0.9900527201592922, + "num_tokens": 26257125.0, + "step": 4940 + }, + { + "entropy": 0.02021576279623787, + "epoch": 0.5317252931323283, + "grad_norm": 2.1875, + "learning_rate": 9.463870756729163e-06, + "loss": 0.019122126698493957, + "mean_token_accuracy": 0.992604573443532, + "num_tokens": 26364694.0, + "step": 4960 + }, + { + "entropy": 0.019900748710369953, + "epoch": 0.5338693467336684, + "grad_norm": 2.0625, + "learning_rate": 9.394548965596609e-06, + "loss": 0.01807314157485962, + "mean_token_accuracy": 0.9929017867892981, + "num_tokens": 26473983.0, + "step": 4980 + }, + { + "entropy": 0.0207442283473938, + "epoch": 0.5360134003350083, + "grad_norm": 1.4375, + "learning_rate": 9.325256364581403e-06, + "loss": 0.022004596889019012, + "mean_token_accuracy": 0.9910150520503521, + "num_tokens": 26586291.0, + "step": 5000 + }, + { + "epoch": 0.5360134003350083, + "eval_entropy": 0.020443486923235468, + "eval_loss": 0.01984340138733387, + "eval_mean_token_accuracy": 0.9918238368034363, + "eval_num_tokens": 26586291.0, + "eval_runtime": 20.253, + "eval_samples_per_second": 37.032, + "eval_steps_per_second": 18.516, + "step": 5000 + }, + { + "entropy": 0.02020404681409218, + "epoch": 0.5381574539363484, + "grad_norm": 2.546875, + "learning_rate": 9.255996294431251e-06, + "loss": 0.018390218913555145, + "mean_token_accuracy": 0.992999167367816, + "num_tokens": 26704783.0, + "step": 5020 + }, + { + "entropy": 0.01915527433520765, + "epoch": 0.5403015075376885, + "grad_norm": 2.078125, + "learning_rate": 9.186772094325482e-06, + "loss": 0.02050086110830307, + "mean_token_accuracy": 0.991879815980792, + "num_tokens": 26801816.0, + "step": 5040 + }, + { + "entropy": 0.01799158312455802, + "epoch": 0.5424455611390284, + "grad_norm": 1.828125, + "learning_rate": 9.117587101714046e-06, + "loss": 0.02155505567789078, + "mean_token_accuracy": 0.9908429838716983, + "num_tokens": 26908853.0, + "step": 5060 + }, + { + "entropy": 0.020375365777476874, + "epoch": 0.5445896147403685, + "grad_norm": 1.75, + "learning_rate": 9.048444652156607e-06, + "loss": 0.022749082744121553, + "mean_token_accuracy": 0.991591277718544, + "num_tokens": 27027467.0, + "step": 5080 + }, + { + "entropy": 0.01897250141009863, + "epoch": 0.5467336683417086, + "grad_norm": 1.9375, + "learning_rate": 8.979348079161753e-06, + "loss": 0.021764059364795686, + "mean_token_accuracy": 0.9915874369442463, + "num_tokens": 27140253.0, + "step": 5100 + }, + { + "entropy": 0.020416706607784364, + "epoch": 0.5488777219430486, + "grad_norm": 1.515625, + "learning_rate": 8.910300714026242e-06, + "loss": 0.019444821774959563, + "mean_token_accuracy": 0.9921912178397179, + "num_tokens": 27250990.0, + "step": 5120 + }, + { + "entropy": 0.019052070355746763, + "epoch": 0.5510217755443886, + "grad_norm": 0.79296875, + "learning_rate": 8.841305885674431e-06, + "loss": 0.0189539834856987, + "mean_token_accuracy": 0.994080551713705, + "num_tokens": 27355412.0, + "step": 5140 + }, + { + "entropy": 0.019072407830481097, + "epoch": 0.5531658291457286, + "grad_norm": 2.125, + "learning_rate": 8.772366920497754e-06, + "loss": 0.022655683755874633, + "mean_token_accuracy": 0.9920244321227074, + "num_tokens": 27451798.0, + "step": 5160 + }, + { + "entropy": 0.0204707554947845, + "epoch": 0.5553098827470687, + "grad_norm": 1.765625, + "learning_rate": 8.70348714219436e-06, + "loss": 0.02314187288284302, + "mean_token_accuracy": 0.9906669486314058, + "num_tokens": 27566715.0, + "step": 5180 + }, + { + "entropy": 0.01811999880219446, + "epoch": 0.5574539363484087, + "grad_norm": 1.375, + "learning_rate": 8.634669871608879e-06, + "loss": 0.021425962448120117, + "mean_token_accuracy": 0.9925322774797678, + "num_tokens": 27659771.0, + "step": 5200 + }, + { + "entropy": 0.02080239012641414, + "epoch": 0.5595979899497487, + "grad_norm": 1.921875, + "learning_rate": 8.565918426572287e-06, + "loss": 0.021234531700611115, + "mean_token_accuracy": 0.9914034195244312, + "num_tokens": 27774261.0, + "step": 5220 + }, + { + "entropy": 0.018487965166877986, + "epoch": 0.5617420435510888, + "grad_norm": 1.7421875, + "learning_rate": 8.497236121741988e-06, + "loss": 0.020122981071472167, + "mean_token_accuracy": 0.9918253514915705, + "num_tokens": 27873405.0, + "step": 5240 + }, + { + "entropy": 0.020079654125311208, + "epoch": 0.5638860971524288, + "grad_norm": 1.875, + "learning_rate": 8.42862626844198e-06, + "loss": 0.0222967728972435, + "mean_token_accuracy": 0.9918321210891008, + "num_tokens": 27980906.0, + "step": 5260 + }, + { + "entropy": 0.02020533189497655, + "epoch": 0.5660301507537688, + "grad_norm": 2.046875, + "learning_rate": 8.3600921745032e-06, + "loss": 0.02204359769821167, + "mean_token_accuracy": 0.9903446055948735, + "num_tokens": 28085101.0, + "step": 5280 + }, + { + "entropy": 0.019518600214541947, + "epoch": 0.5681742043551089, + "grad_norm": 1.140625, + "learning_rate": 8.291637144104084e-06, + "loss": 0.02309599071741104, + "mean_token_accuracy": 0.9912882562726736, + "num_tokens": 28193879.0, + "step": 5300 + }, + { + "entropy": 0.02015163512619438, + "epoch": 0.5703182579564489, + "grad_norm": 1.828125, + "learning_rate": 8.223264477611218e-06, + "loss": 0.020999400317668913, + "mean_token_accuracy": 0.9915294233709574, + "num_tokens": 28296254.0, + "step": 5320 + }, + { + "entropy": 0.02264108727913481, + "epoch": 0.5724623115577889, + "grad_norm": 1.609375, + "learning_rate": 8.154977471420266e-06, + "loss": 0.02454686313867569, + "mean_token_accuracy": 0.9913088951259852, + "num_tokens": 28409744.0, + "step": 5340 + }, + { + "entropy": 0.02133122851785174, + "epoch": 0.574606365159129, + "grad_norm": 1.078125, + "learning_rate": 8.086779417797005e-06, + "loss": 0.018969587981700897, + "mean_token_accuracy": 0.9918996881693601, + "num_tokens": 28523944.0, + "step": 5360 + }, + { + "entropy": 0.020475312656594725, + "epoch": 0.5767504187604691, + "grad_norm": 2.578125, + "learning_rate": 8.018673604718621e-06, + "loss": 0.020480218529701232, + "mean_token_accuracy": 0.9909398626536131, + "num_tokens": 28620491.0, + "step": 5380 + }, + { + "entropy": 0.02034863719095483, + "epoch": 0.578894472361809, + "grad_norm": 2.3125, + "learning_rate": 7.950663315715189e-06, + "loss": 0.020605732500553132, + "mean_token_accuracy": 0.991118798777461, + "num_tokens": 28724436.0, + "step": 5400 + }, + { + "entropy": 0.019775752684540748, + "epoch": 0.5810385259631491, + "grad_norm": 3.78125, + "learning_rate": 7.882751829711343e-06, + "loss": 0.017187023162841798, + "mean_token_accuracy": 0.9925138726830482, + "num_tokens": 28834817.0, + "step": 5420 + }, + { + "entropy": 0.020291093751802693, + "epoch": 0.5831825795644892, + "grad_norm": 2.59375, + "learning_rate": 7.814942420868225e-06, + "loss": 0.02155611515045166, + "mean_token_accuracy": 0.9925528045743703, + "num_tokens": 28949852.0, + "step": 5440 + }, + { + "entropy": 0.020088849540070442, + "epoch": 0.5853266331658291, + "grad_norm": 1.4765625, + "learning_rate": 7.747238358425603e-06, + "loss": 0.021509405970573426, + "mean_token_accuracy": 0.9916152823716402, + "num_tokens": 29053126.0, + "step": 5460 + }, + { + "entropy": 0.02078960820804241, + "epoch": 0.5874706867671692, + "grad_norm": 1.6953125, + "learning_rate": 7.679642906544268e-06, + "loss": 0.022637182474136354, + "mean_token_accuracy": 0.9910664647817612, + "num_tokens": 29173776.0, + "step": 5480 + }, + { + "entropy": 0.019441102636301368, + "epoch": 0.5896147403685092, + "grad_norm": 3.515625, + "learning_rate": 7.6121593241486644e-06, + "loss": 0.021338345110416414, + "mean_token_accuracy": 0.9917159400880337, + "num_tokens": 29278255.0, + "step": 5500 + }, + { + "epoch": 0.5896147403685092, + "eval_entropy": 0.019579512438397312, + "eval_loss": 0.019862476736307144, + "eval_mean_token_accuracy": 0.9916693598429362, + "eval_num_tokens": 29278255.0, + "eval_runtime": 20.2793, + "eval_samples_per_second": 36.984, + "eval_steps_per_second": 18.492, + "step": 5500 + }, + { + "entropy": 0.01876566273849676, + "epoch": 0.5917587939698492, + "grad_norm": 1.53125, + "learning_rate": 7.5447908647697506e-06, + "loss": 0.02028908282518387, + "mean_token_accuracy": 0.9926750350743532, + "num_tokens": 29377393.0, + "step": 5520 + }, + { + "entropy": 0.019120201245004863, + "epoch": 0.5939028475711893, + "grad_norm": 2.09375, + "learning_rate": 7.47754077638817e-06, + "loss": 0.02107948064804077, + "mean_token_accuracy": 0.9924666147679091, + "num_tokens": 29481829.0, + "step": 5540 + }, + { + "entropy": 0.019154090119650392, + "epoch": 0.5960469011725293, + "grad_norm": 1.65625, + "learning_rate": 7.410412301277628e-06, + "loss": 0.021442399919033052, + "mean_token_accuracy": 0.9915456175804138, + "num_tokens": 29577548.0, + "step": 5560 + }, + { + "entropy": 0.020240560936554176, + "epoch": 0.5981909547738693, + "grad_norm": 1.71875, + "learning_rate": 7.343408675848593e-06, + "loss": 0.022295641899108886, + "mean_token_accuracy": 0.9908768083900213, + "num_tokens": 29693831.0, + "step": 5580 + }, + { + "entropy": 0.018894769826965786, + "epoch": 0.6003350083752094, + "grad_norm": 2.203125, + "learning_rate": 7.27653313049226e-06, + "loss": 0.017608430981636048, + "mean_token_accuracy": 0.9934392455965281, + "num_tokens": 29807626.0, + "step": 5600 + }, + { + "entropy": 0.018964907280769695, + "epoch": 0.6024790619765494, + "grad_norm": 1.7890625, + "learning_rate": 7.209788889424797e-06, + "loss": 0.021428127586841584, + "mean_token_accuracy": 0.992251905053854, + "num_tokens": 29918699.0, + "step": 5620 + }, + { + "entropy": 0.019173358734906287, + "epoch": 0.6046231155778894, + "grad_norm": 2.03125, + "learning_rate": 7.143179170531917e-06, + "loss": 0.02228628993034363, + "mean_token_accuracy": 0.9917910866439342, + "num_tokens": 30012605.0, + "step": 5640 + }, + { + "entropy": 0.020879295714121327, + "epoch": 0.6067671691792295, + "grad_norm": 1.71875, + "learning_rate": 7.076707185213716e-06, + "loss": 0.023567219078540803, + "mean_token_accuracy": 0.9915827866643667, + "num_tokens": 30121162.0, + "step": 5660 + }, + { + "entropy": 0.021870423488599043, + "epoch": 0.6089112227805695, + "grad_norm": 2.09375, + "learning_rate": 7.010376138229848e-06, + "loss": 0.023693473637104036, + "mean_token_accuracy": 0.9895996507257223, + "num_tokens": 30224756.0, + "step": 5680 + }, + { + "entropy": 0.02007417911304401, + "epoch": 0.6110552763819096, + "grad_norm": 1.6484375, + "learning_rate": 6.944189227545035e-06, + "loss": 0.018479639291763307, + "mean_token_accuracy": 0.992578137665987, + "num_tokens": 30328568.0, + "step": 5700 + }, + { + "entropy": 0.02106366403361335, + "epoch": 0.6131993299832496, + "grad_norm": 3.3125, + "learning_rate": 6.878149644174868e-06, + "loss": 0.021388374269008636, + "mean_token_accuracy": 0.9912810981273651, + "num_tokens": 30433800.0, + "step": 5720 + }, + { + "entropy": 0.019824264124895307, + "epoch": 0.6153433835845896, + "grad_norm": 3.828125, + "learning_rate": 6.812260572031966e-06, + "loss": 0.019826412200927734, + "mean_token_accuracy": 0.9915285713970661, + "num_tokens": 30533876.0, + "step": 5740 + }, + { + "entropy": 0.019220966260763816, + "epoch": 0.6174874371859297, + "grad_norm": 2.3125, + "learning_rate": 6.74652518777247e-06, + "loss": 0.023332512378692626, + "mean_token_accuracy": 0.9904117193073034, + "num_tokens": 30640243.0, + "step": 5760 + }, + { + "entropy": 0.019488869791348406, + "epoch": 0.6196314907872696, + "grad_norm": 1.7734375, + "learning_rate": 6.680946660642893e-06, + "loss": 0.023433607816696168, + "mean_token_accuracy": 0.991485184058547, + "num_tokens": 30740058.0, + "step": 5780 + }, + { + "entropy": 0.02283499206282613, + "epoch": 0.6217755443886097, + "grad_norm": 1.9296875, + "learning_rate": 6.615528152327328e-06, + "loss": 0.024059185385704042, + "mean_token_accuracy": 0.9913460418581963, + "num_tokens": 30852207.0, + "step": 5800 + }, + { + "entropy": 0.020180349141332952, + "epoch": 0.6239195979899498, + "grad_norm": 3.109375, + "learning_rate": 6.550272816795006e-06, + "loss": 0.01820368319749832, + "mean_token_accuracy": 0.9933834221214056, + "num_tokens": 30953138.0, + "step": 5820 + }, + { + "entropy": 0.019724707261821094, + "epoch": 0.6260636515912897, + "grad_norm": 1.65625, + "learning_rate": 6.485183800148248e-06, + "loss": 0.020257289707660674, + "mean_token_accuracy": 0.9930203214287758, + "num_tokens": 31064272.0, + "step": 5840 + }, + { + "entropy": 0.01873356030444029, + "epoch": 0.6282077051926298, + "grad_norm": 3.484375, + "learning_rate": 6.420264240470771e-06, + "loss": 0.02272033840417862, + "mean_token_accuracy": 0.9918572433292866, + "num_tokens": 31172652.0, + "step": 5860 + }, + { + "entropy": 0.019832546763041137, + "epoch": 0.6303517587939699, + "grad_norm": 2.25, + "learning_rate": 6.355517267676398e-06, + "loss": 0.022037458419799805, + "mean_token_accuracy": 0.9914021987468005, + "num_tokens": 31285622.0, + "step": 5880 + }, + { + "entropy": 0.021016045037094956, + "epoch": 0.6324958123953098, + "grad_norm": 1.9375, + "learning_rate": 6.290946003358175e-06, + "loss": 0.02272486835718155, + "mean_token_accuracy": 0.9905358534306288, + "num_tokens": 31391456.0, + "step": 5900 + }, + { + "entropy": 0.018993245228944033, + "epoch": 0.6346398659966499, + "grad_norm": 2.515625, + "learning_rate": 6.226553560637847e-06, + "loss": 0.02007617652416229, + "mean_token_accuracy": 0.9922155175358057, + "num_tokens": 31496166.0, + "step": 5920 + }, + { + "entropy": 0.0195752263855411, + "epoch": 0.63678391959799, + "grad_norm": 2.125, + "learning_rate": 6.162343044015784e-06, + "loss": 0.02081257700920105, + "mean_token_accuracy": 0.9921386137604713, + "num_tokens": 31605934.0, + "step": 5940 + }, + { + "entropy": 0.019383694695488885, + "epoch": 0.63892797319933, + "grad_norm": 2.046875, + "learning_rate": 6.098317549221302e-06, + "loss": 0.02021864652633667, + "mean_token_accuracy": 0.9916181784123183, + "num_tokens": 31712938.0, + "step": 5960 + }, + { + "entropy": 0.01924167173308433, + "epoch": 0.64107202680067, + "grad_norm": 2.046875, + "learning_rate": 6.034480163063401e-06, + "loss": 0.018102942407131194, + "mean_token_accuracy": 0.9921923886984587, + "num_tokens": 31813225.0, + "step": 5980 + }, + { + "entropy": 0.018873273960889492, + "epoch": 0.6432160804020101, + "grad_norm": 1.5234375, + "learning_rate": 5.970833963281968e-06, + "loss": 0.018628720939159394, + "mean_token_accuracy": 0.9928794108331204, + "num_tokens": 31928881.0, + "step": 6000 + }, + { + "epoch": 0.6432160804020101, + "eval_entropy": 0.01981416783077293, + "eval_loss": 0.019560638815164566, + "eval_mean_token_accuracy": 0.9923082728385926, + "eval_num_tokens": 31928881.0, + "eval_runtime": 20.2811, + "eval_samples_per_second": 36.98, + "eval_steps_per_second": 18.49, + "step": 6000 + }, + { + "entropy": 0.020261389288043573, + "epoch": 0.6453601340033501, + "grad_norm": 1.3125, + "learning_rate": 5.9073820183993635e-06, + "loss": 0.022888460755348207, + "mean_token_accuracy": 0.9925485417246819, + "num_tokens": 32038408.0, + "step": 6020 + }, + { + "entropy": 0.02017652262293268, + "epoch": 0.6475041876046901, + "grad_norm": 1.6328125, + "learning_rate": 5.8441273875725e-06, + "loss": 0.020387469232082366, + "mean_token_accuracy": 0.9918923225253821, + "num_tokens": 32145003.0, + "step": 6040 + }, + { + "entropy": 0.01868033191105951, + "epoch": 0.6496482412060302, + "grad_norm": 3.375, + "learning_rate": 5.781073120445353e-06, + "loss": 0.02243368774652481, + "mean_token_accuracy": 0.9915057402104139, + "num_tokens": 32251639.0, + "step": 6060 + }, + { + "entropy": 0.017508955025914475, + "epoch": 0.6517922948073702, + "grad_norm": 2.140625, + "learning_rate": 5.71822225700192e-06, + "loss": 0.017190653085708617, + "mean_token_accuracy": 0.9927597284317017, + "num_tokens": 32352371.0, + "step": 6080 + }, + { + "entropy": 0.019111776090062448, + "epoch": 0.6539363484087102, + "grad_norm": 1.1328125, + "learning_rate": 5.655577827419661e-06, + "loss": 0.02137412428855896, + "mean_token_accuracy": 0.9919875215739011, + "num_tokens": 32454655.0, + "step": 6100 + }, + { + "entropy": 0.023027155749787198, + "epoch": 0.6560804020100502, + "grad_norm": 2.015625, + "learning_rate": 5.5931428519234145e-06, + "loss": 0.02286381125450134, + "mean_token_accuracy": 0.9909462627023459, + "num_tokens": 32559559.0, + "step": 6120 + }, + { + "entropy": 0.02029506681608382, + "epoch": 0.6582244556113903, + "grad_norm": 3.21875, + "learning_rate": 5.530920340639776e-06, + "loss": 0.02172601819038391, + "mean_token_accuracy": 0.99092488437891, + "num_tokens": 32658365.0, + "step": 6140 + }, + { + "entropy": 0.021070733480109995, + "epoch": 0.6603685092127303, + "grad_norm": 3.625, + "learning_rate": 5.468913293451979e-06, + "loss": 0.021482250094413756, + "mean_token_accuracy": 0.9916323244571685, + "num_tokens": 32764039.0, + "step": 6160 + }, + { + "entropy": 0.018422811868731515, + "epoch": 0.6625125628140703, + "grad_norm": 2.6875, + "learning_rate": 5.407124699855259e-06, + "loss": 0.01822958290576935, + "mean_token_accuracy": 0.9923275396227836, + "num_tokens": 32877996.0, + "step": 6180 + }, + { + "entropy": 0.01931439164168296, + "epoch": 0.6646566164154104, + "grad_norm": 2.296875, + "learning_rate": 5.34555753881273e-06, + "loss": 0.021021611988544464, + "mean_token_accuracy": 0.9911792669445276, + "num_tokens": 32986191.0, + "step": 6200 + }, + { + "entropy": 0.019900657032940215, + "epoch": 0.6668006700167505, + "grad_norm": 1.734375, + "learning_rate": 5.284214778611758e-06, + "loss": 0.021909794211387633, + "mean_token_accuracy": 0.9917173352092504, + "num_tokens": 33098196.0, + "step": 6220 + }, + { + "entropy": 0.022017163155032902, + "epoch": 0.6689447236180904, + "grad_norm": 2.5625, + "learning_rate": 5.2230993767208524e-06, + "loss": 0.02269018590450287, + "mean_token_accuracy": 0.9912259686738253, + "num_tokens": 33211358.0, + "step": 6240 + }, + { + "entropy": 0.019263985499833325, + "epoch": 0.6710887772194305, + "grad_norm": 1.5625, + "learning_rate": 5.162214279647082e-06, + "loss": 0.023519453406333924, + "mean_token_accuracy": 0.9909868344664574, + "num_tokens": 33314953.0, + "step": 6260 + }, + { + "entropy": 0.021732687100166004, + "epoch": 0.6732328308207706, + "grad_norm": 2.265625, + "learning_rate": 5.1015624227940195e-06, + "loss": 0.021917779743671418, + "mean_token_accuracy": 0.9901779539883137, + "num_tokens": 33428051.0, + "step": 6280 + }, + { + "entropy": 0.019478338875705957, + "epoch": 0.6753768844221105, + "grad_norm": 2.296875, + "learning_rate": 5.041146730320215e-06, + "loss": 0.01874311566352844, + "mean_token_accuracy": 0.9923384670168162, + "num_tokens": 33537514.0, + "step": 6300 + }, + { + "entropy": 0.018508305449995533, + "epoch": 0.6775209380234506, + "grad_norm": 3.125, + "learning_rate": 4.980970114998216e-06, + "loss": 0.021730564534664154, + "mean_token_accuracy": 0.9915897861123085, + "num_tokens": 33639522.0, + "step": 6320 + }, + { + "entropy": 0.019665157535450818, + "epoch": 0.6796649916247907, + "grad_norm": 2.625, + "learning_rate": 4.921035478074142e-06, + "loss": 0.020458599925041197, + "mean_token_accuracy": 0.9918417375534773, + "num_tokens": 33743819.0, + "step": 6340 + }, + { + "entropy": 0.020174525574702784, + "epoch": 0.6818090452261306, + "grad_norm": 8.5, + "learning_rate": 4.861345709127803e-06, + "loss": 0.019577798247337342, + "mean_token_accuracy": 0.9921597026288509, + "num_tokens": 33847282.0, + "step": 6360 + }, + { + "entropy": 0.020318039059475268, + "epoch": 0.6839530988274707, + "grad_norm": 1.953125, + "learning_rate": 4.801903685933389e-06, + "loss": 0.020683969557285308, + "mean_token_accuracy": 0.9917214840650559, + "num_tokens": 33953961.0, + "step": 6380 + }, + { + "entropy": 0.01895209533279285, + "epoch": 0.6860971524288108, + "grad_norm": 2.046875, + "learning_rate": 4.742712274320725e-06, + "loss": 0.020713077485561372, + "mean_token_accuracy": 0.9920912489295006, + "num_tokens": 34054466.0, + "step": 6400 + }, + { + "entropy": 0.021405872826358065, + "epoch": 0.6882412060301507, + "grad_norm": 2.015625, + "learning_rate": 4.683774328037108e-06, + "loss": 0.024052520096302033, + "mean_token_accuracy": 0.9902271404862404, + "num_tokens": 34162751.0, + "step": 6420 + }, + { + "entropy": 0.02056694905677432, + "epoch": 0.6903852596314908, + "grad_norm": 2.109375, + "learning_rate": 4.625092688609711e-06, + "loss": 0.021541555225849152, + "mean_token_accuracy": 0.9906902097165584, + "num_tokens": 34271073.0, + "step": 6440 + }, + { + "entropy": 0.01796177522041944, + "epoch": 0.6925293132328308, + "grad_norm": 1.421875, + "learning_rate": 4.566670185208599e-06, + "loss": 0.017521923780441283, + "mean_token_accuracy": 0.9920081544667483, + "num_tokens": 34379697.0, + "step": 6460 + }, + { + "entropy": 0.01806882056660015, + "epoch": 0.6946733668341708, + "grad_norm": 1.6953125, + "learning_rate": 4.5085096345103205e-06, + "loss": 0.018725714087486266, + "mean_token_accuracy": 0.9868147686123848, + "num_tokens": 34483763.0, + "step": 6480 + }, + { + "entropy": 0.019470379299946217, + "epoch": 0.6968174204355109, + "grad_norm": 1.9140625, + "learning_rate": 4.450613840562113e-06, + "loss": 0.017752458155155183, + "mean_token_accuracy": 0.9928225323557853, + "num_tokens": 34588293.0, + "step": 6500 + }, + { + "epoch": 0.6968174204355109, + "eval_entropy": 0.019607524218813826, + "eval_loss": 0.019470153376460075, + "eval_mean_token_accuracy": 0.9920525077184041, + "eval_num_tokens": 34588293.0, + "eval_runtime": 20.2964, + "eval_samples_per_second": 36.952, + "eval_steps_per_second": 18.476, + "step": 6500 + }, + { + "entropy": 0.01848742664128622, + "epoch": 0.6989614740368509, + "grad_norm": 2.671875, + "learning_rate": 4.392985594646711e-06, + "loss": 0.02162926346063614, + "mean_token_accuracy": 0.9913080882281065, + "num_tokens": 34689227.0, + "step": 6520 + }, + { + "entropy": 0.019617287777646198, + "epoch": 0.701105527638191, + "grad_norm": 1.4765625, + "learning_rate": 4.335627675147774e-06, + "loss": 0.02028166800737381, + "mean_token_accuracy": 0.9930087491869927, + "num_tokens": 34791268.0, + "step": 6540 + }, + { + "entropy": 0.01906899958651138, + "epoch": 0.703249581239531, + "grad_norm": 2.234375, + "learning_rate": 4.278542847415936e-06, + "loss": 0.019539786875247954, + "mean_token_accuracy": 0.9920954536646605, + "num_tokens": 34894826.0, + "step": 6560 + }, + { + "entropy": 0.0211970092474985, + "epoch": 0.705393634840871, + "grad_norm": 1.5, + "learning_rate": 4.221733863635479e-06, + "loss": 0.023706386983394622, + "mean_token_accuracy": 0.990295572206378, + "num_tokens": 35009299.0, + "step": 6580 + }, + { + "entropy": 0.021638639217917442, + "epoch": 0.7075376884422111, + "grad_norm": 1.59375, + "learning_rate": 4.165203462691645e-06, + "loss": 0.021413305401802064, + "mean_token_accuracy": 0.9913092136383057, + "num_tokens": 35116618.0, + "step": 6600 + }, + { + "entropy": 0.02009705953132652, + "epoch": 0.7096817420435511, + "grad_norm": 1.9296875, + "learning_rate": 4.1089543700385885e-06, + "loss": 0.023159290850162505, + "mean_token_accuracy": 0.9899264223873615, + "num_tokens": 35214619.0, + "step": 6620 + }, + { + "entropy": 0.020903292103525928, + "epoch": 0.7118257956448911, + "grad_norm": 2.8125, + "learning_rate": 4.0529892975679775e-06, + "loss": 0.02029138207435608, + "mean_token_accuracy": 0.9917101729661226, + "num_tokens": 35331847.0, + "step": 6640 + }, + { + "entropy": 0.019355950780254715, + "epoch": 0.7139698492462312, + "grad_norm": 2.25, + "learning_rate": 3.997310943478246e-06, + "loss": 0.022747300565242767, + "mean_token_accuracy": 0.9911560833454132, + "num_tokens": 35435144.0, + "step": 6660 + }, + { + "entropy": 0.019431080123217724, + "epoch": 0.7161139028475711, + "grad_norm": 2.46875, + "learning_rate": 3.941921992144509e-06, + "loss": 0.022220295667648316, + "mean_token_accuracy": 0.9914675705134869, + "num_tokens": 35540146.0, + "step": 6680 + }, + { + "entropy": 0.021516031174610362, + "epoch": 0.7182579564489112, + "grad_norm": 1.0078125, + "learning_rate": 3.886825113989142e-06, + "loss": 0.020635062456130983, + "mean_token_accuracy": 0.9917585879564286, + "num_tokens": 35652696.0, + "step": 6700 + }, + { + "entropy": 0.019729190898897287, + "epoch": 0.7204020100502513, + "grad_norm": 2.09375, + "learning_rate": 3.832022965353032e-06, + "loss": 0.019225403666496277, + "mean_token_accuracy": 0.9942506503313779, + "num_tokens": 35757381.0, + "step": 6720 + }, + { + "entropy": 0.020393153377153795, + "epoch": 0.7225460636515912, + "grad_norm": 5.96875, + "learning_rate": 3.777518188367517e-06, + "loss": 0.02378985732793808, + "mean_token_accuracy": 0.9912960890680551, + "num_tokens": 35865336.0, + "step": 6740 + }, + { + "entropy": 0.019717699302668736, + "epoch": 0.7246901172529313, + "grad_norm": 1.8515625, + "learning_rate": 3.723313410826992e-06, + "loss": 0.020520621538162233, + "mean_token_accuracy": 0.9927110608667136, + "num_tokens": 35969262.0, + "step": 6760 + }, + { + "entropy": 0.020156670222718276, + "epoch": 0.7268341708542714, + "grad_norm": 2.953125, + "learning_rate": 3.6694112460622267e-06, + "loss": 0.022173659503459932, + "mean_token_accuracy": 0.9913631960749626, + "num_tokens": 36078203.0, + "step": 6780 + }, + { + "entropy": 0.02017759628906788, + "epoch": 0.7289782244556114, + "grad_norm": 1.6328125, + "learning_rate": 3.615814292814367e-06, + "loss": 0.02243554890155792, + "mean_token_accuracy": 0.9910614918917418, + "num_tokens": 36179468.0, + "step": 6800 + }, + { + "entropy": 0.019291495129346005, + "epoch": 0.7311222780569514, + "grad_norm": 2.03125, + "learning_rate": 3.562525135109649e-06, + "loss": 0.021489365398883818, + "mean_token_accuracy": 0.992356463521719, + "num_tokens": 36287569.0, + "step": 6820 + }, + { + "entropy": 0.017877134253399162, + "epoch": 0.7332663316582915, + "grad_norm": 2.8125, + "learning_rate": 3.509546342134796e-06, + "loss": 0.01892261952161789, + "mean_token_accuracy": 0.9919790286570788, + "num_tokens": 36403262.0, + "step": 6840 + }, + { + "entropy": 0.01958747923711144, + "epoch": 0.7354103852596315, + "grad_norm": 3.3125, + "learning_rate": 3.4568804681131964e-06, + "loss": 0.019973862171173095, + "mean_token_accuracy": 0.9915773533284664, + "num_tokens": 36508584.0, + "step": 6860 + }, + { + "entropy": 0.019319427383879883, + "epoch": 0.7375544388609715, + "grad_norm": 2.296875, + "learning_rate": 3.4045300521817105e-06, + "loss": 0.02136710286140442, + "mean_token_accuracy": 0.9920724961906672, + "num_tokens": 36610038.0, + "step": 6880 + }, + { + "entropy": 0.020166188537677952, + "epoch": 0.7396984924623116, + "grad_norm": 1.9453125, + "learning_rate": 3.3524976182682843e-06, + "loss": 0.018660889565944673, + "mean_token_accuracy": 0.9929303977638483, + "num_tokens": 36708085.0, + "step": 6900 + }, + { + "entropy": 0.018660859293049725, + "epoch": 0.7418425460636516, + "grad_norm": 2.40625, + "learning_rate": 3.3007856749702573e-06, + "loss": 0.01911092400550842, + "mean_token_accuracy": 0.9929109118878842, + "num_tokens": 36809564.0, + "step": 6920 + }, + { + "entropy": 0.020304086872602056, + "epoch": 0.7439865996649916, + "grad_norm": 1.734375, + "learning_rate": 3.2493967154334016e-06, + "loss": 0.019811296463012697, + "mean_token_accuracy": 0.9924409098923206, + "num_tokens": 36912901.0, + "step": 6940 + }, + { + "entropy": 0.017767412251100723, + "epoch": 0.7461306532663317, + "grad_norm": 1.515625, + "learning_rate": 3.198333217231757e-06, + "loss": 0.016918018460273743, + "mean_token_accuracy": 0.9936570934951305, + "num_tokens": 37028495.0, + "step": 6960 + }, + { + "entropy": 0.01919960001034724, + "epoch": 0.7482747068676717, + "grad_norm": 1.78125, + "learning_rate": 3.1475976422481526e-06, + "loss": 0.018871791660785675, + "mean_token_accuracy": 0.9923384845256805, + "num_tokens": 37128754.0, + "step": 6980 + }, + { + "entropy": 0.01957385808059371, + "epoch": 0.7504187604690117, + "grad_norm": 2.515625, + "learning_rate": 3.0971924365555116e-06, + "loss": 0.018768243491649628, + "mean_token_accuracy": 0.9924201011657715, + "num_tokens": 37230511.0, + "step": 7000 + }, + { + "epoch": 0.7504187604690117, + "eval_entropy": 0.019512116880068788, + "eval_loss": 0.019492411985993385, + "eval_mean_token_accuracy": 0.9919790083567301, + "eval_num_tokens": 37230511.0, + "eval_runtime": 20.2777, + "eval_samples_per_second": 36.986, + "eval_steps_per_second": 18.493, + "step": 7000 + }, + { + "entropy": 0.018825849278618988, + "epoch": 0.7525628140703517, + "grad_norm": 2.265625, + "learning_rate": 3.0471200302989535e-06, + "loss": 0.020853203535079957, + "mean_token_accuracy": 0.9906294353306293, + "num_tokens": 37332200.0, + "step": 7020 + }, + { + "entropy": 0.019942389463130893, + "epoch": 0.7547068676716918, + "grad_norm": 2.203125, + "learning_rate": 2.9973828375785864e-06, + "loss": 0.018565280735492705, + "mean_token_accuracy": 0.9909187290817499, + "num_tokens": 37433333.0, + "step": 7040 + }, + { + "entropy": 0.020680780549423617, + "epoch": 0.7568509212730318, + "grad_norm": 1.3984375, + "learning_rate": 2.947983256333166e-06, + "loss": 0.022726891934871672, + "mean_token_accuracy": 0.9920847479254007, + "num_tokens": 37535155.0, + "step": 7060 + }, + { + "entropy": 0.01799933227546262, + "epoch": 0.7589949748743718, + "grad_norm": 2.375, + "learning_rate": 2.8989236682244372e-06, + "loss": 0.019517210125923157, + "mean_token_accuracy": 0.9922154374420643, + "num_tokens": 37642429.0, + "step": 7080 + }, + { + "entropy": 0.018576059823135437, + "epoch": 0.7611390284757119, + "grad_norm": 1.8671875, + "learning_rate": 2.8502064385223437e-06, + "loss": 0.02000274509191513, + "mean_token_accuracy": 0.9927195519208908, + "num_tokens": 37743382.0, + "step": 7100 + }, + { + "entropy": 0.01817750639111182, + "epoch": 0.763283082077052, + "grad_norm": 0.76953125, + "learning_rate": 2.8018339159909937e-06, + "loss": 0.018051585555076598, + "mean_token_accuracy": 0.9927114237099885, + "num_tokens": 37849802.0, + "step": 7120 + }, + { + "entropy": 0.01861468399677051, + "epoch": 0.7654271356783919, + "grad_norm": 2.453125, + "learning_rate": 2.7538084327753823e-06, + "loss": 0.020044369995594023, + "mean_token_accuracy": 0.9925104282796383, + "num_tokens": 37949510.0, + "step": 7140 + }, + { + "entropy": 0.01957492132596599, + "epoch": 0.767571189279732, + "grad_norm": 1.6640625, + "learning_rate": 2.706132304289012e-06, + "loss": 0.02030598223209381, + "mean_token_accuracy": 0.9924644228070975, + "num_tokens": 38056600.0, + "step": 7160 + }, + { + "entropy": 0.019891365615512767, + "epoch": 0.7697152428810721, + "grad_norm": 1.3046875, + "learning_rate": 2.6588078291022045e-06, + "loss": 0.020326973497867586, + "mean_token_accuracy": 0.9918508928269147, + "num_tokens": 38168190.0, + "step": 7180 + }, + { + "entropy": 0.01919556673688021, + "epoch": 0.771859296482412, + "grad_norm": 2.796875, + "learning_rate": 2.611837288831319e-06, + "loss": 0.02155778855085373, + "mean_token_accuracy": 0.9919852402061224, + "num_tokens": 38276246.0, + "step": 7200 + }, + { + "entropy": 0.019413144076725074, + "epoch": 0.7740033500837521, + "grad_norm": 5.8125, + "learning_rate": 2.565222948028746e-06, + "loss": 0.0233286514878273, + "mean_token_accuracy": 0.9901302725076675, + "num_tokens": 38380173.0, + "step": 7220 + }, + { + "entropy": 0.019048391740625448, + "epoch": 0.7761474036850922, + "grad_norm": 2.484375, + "learning_rate": 2.518967054073702e-06, + "loss": 0.01727575808763504, + "mean_token_accuracy": 0.9933784183114767, + "num_tokens": 38485326.0, + "step": 7240 + }, + { + "entropy": 0.018992443338993324, + "epoch": 0.7782914572864321, + "grad_norm": 1.765625, + "learning_rate": 2.473071837063921e-06, + "loss": 0.020196519792079926, + "mean_token_accuracy": 0.9929014749825, + "num_tokens": 38593033.0, + "step": 7260 + }, + { + "entropy": 0.01934261324011004, + "epoch": 0.7804355108877722, + "grad_norm": 2.078125, + "learning_rate": 2.427539509708092e-06, + "loss": 0.021069280803203583, + "mean_token_accuracy": 0.9920600451529026, + "num_tokens": 38695209.0, + "step": 7280 + }, + { + "entropy": 0.01937621497809232, + "epoch": 0.7825795644891123, + "grad_norm": 1.96875, + "learning_rate": 2.382372267219212e-06, + "loss": 0.02313290983438492, + "mean_token_accuracy": 0.9915325742214918, + "num_tokens": 38804750.0, + "step": 7300 + }, + { + "entropy": 0.02088976109387204, + "epoch": 0.7847236180904522, + "grad_norm": 3.390625, + "learning_rate": 2.3375722872087435e-06, + "loss": 0.02172703593969345, + "mean_token_accuracy": 0.9911188166588545, + "num_tokens": 38909561.0, + "step": 7320 + }, + { + "entropy": 0.019513376194367993, + "epoch": 0.7868676716917923, + "grad_norm": 1.6171875, + "learning_rate": 2.293141729581606e-06, + "loss": 0.020942328870296477, + "mean_token_accuracy": 0.9914060894399881, + "num_tokens": 39024348.0, + "step": 7340 + }, + { + "entropy": 0.019013147754321835, + "epoch": 0.7890117252931323, + "grad_norm": 3.03125, + "learning_rate": 2.24908273643208e-06, + "loss": 0.01895921677350998, + "mean_token_accuracy": 0.9920435093343258, + "num_tokens": 39123358.0, + "step": 7360 + }, + { + "entropy": 0.01850612224473025, + "epoch": 0.7911557788944724, + "grad_norm": 2.0625, + "learning_rate": 2.20539743194049e-06, + "loss": 0.020412975549697877, + "mean_token_accuracy": 0.992505956813693, + "num_tokens": 39222173.0, + "step": 7380 + }, + { + "entropy": 0.018990432533109926, + "epoch": 0.7932998324958124, + "grad_norm": 2.515625, + "learning_rate": 2.162087922270827e-06, + "loss": 0.019987034797668456, + "mean_token_accuracy": 0.9921554632484912, + "num_tokens": 39324555.0, + "step": 7400 + }, + { + "entropy": 0.020331120665650813, + "epoch": 0.7954438860971524, + "grad_norm": 2.59375, + "learning_rate": 2.119156295469188e-06, + "loss": 0.020988868176937105, + "mean_token_accuracy": 0.992167953774333, + "num_tokens": 39436930.0, + "step": 7420 + }, + { + "entropy": 0.01908351750444126, + "epoch": 0.7975879396984925, + "grad_norm": 2.140625, + "learning_rate": 2.0766046213631085e-06, + "loss": 0.02441962659358978, + "mean_token_accuracy": 0.9905336666852236, + "num_tokens": 39539754.0, + "step": 7440 + }, + { + "entropy": 0.01844053882264234, + "epoch": 0.7997319932998325, + "grad_norm": 1.4609375, + "learning_rate": 2.034434951461787e-06, + "loss": 0.021246211230754854, + "mean_token_accuracy": 0.9916405260562897, + "num_tokens": 39642853.0, + "step": 7460 + }, + { + "entropy": 0.019568845091521327, + "epoch": 0.8018760469011725, + "grad_norm": 2.234375, + "learning_rate": 1.992649318857145e-06, + "loss": 0.02266250252723694, + "mean_token_accuracy": 0.9901510171592236, + "num_tokens": 39753649.0, + "step": 7480 + }, + { + "entropy": 0.019649790661560473, + "epoch": 0.8040201005025126, + "grad_norm": 1.4296875, + "learning_rate": 1.951249738125841e-06, + "loss": 0.02106764316558838, + "mean_token_accuracy": 0.992297976091504, + "num_tokens": 39867091.0, + "step": 7500 + }, + { + "epoch": 0.8040201005025126, + "eval_entropy": 0.01951531241268579, + "eval_loss": 0.019423136487603188, + "eval_mean_token_accuracy": 0.9921902815500895, + "eval_num_tokens": 39867091.0, + "eval_runtime": 20.2653, + "eval_samples_per_second": 37.009, + "eval_steps_per_second": 18.504, + "step": 7500 + }, + { + "entropy": 0.01873672366637038, + "epoch": 0.8061641541038526, + "grad_norm": 2.515625, + "learning_rate": 1.9102382052321247e-06, + "loss": 0.02217361479997635, + "mean_token_accuracy": 0.991604308411479, + "num_tokens": 39975152.0, + "step": 7520 + }, + { + "entropy": 0.018056424487326694, + "epoch": 0.8083082077051926, + "grad_norm": 2.1875, + "learning_rate": 1.8696166974316098e-06, + "loss": 0.018713992834091187, + "mean_token_accuracy": 0.9923322558403015, + "num_tokens": 40073850.0, + "step": 7540 + }, + { + "entropy": 0.019656274415865482, + "epoch": 0.8104522613065327, + "grad_norm": 1.75, + "learning_rate": 1.829387173175957e-06, + "loss": 0.02295905351638794, + "mean_token_accuracy": 0.9911978255957365, + "num_tokens": 40174029.0, + "step": 7560 + }, + { + "entropy": 0.018212407533337683, + "epoch": 0.8125963149078727, + "grad_norm": 2.203125, + "learning_rate": 1.7895515720184298e-06, + "loss": 0.01762194335460663, + "mean_token_accuracy": 0.993547822907567, + "num_tokens": 40277338.0, + "step": 7580 + }, + { + "entropy": 0.019111268576693874, + "epoch": 0.8147403685092127, + "grad_norm": 3.078125, + "learning_rate": 1.7501118145204078e-06, + "loss": 0.02163155972957611, + "mean_token_accuracy": 0.9915014613419771, + "num_tokens": 40384919.0, + "step": 7600 + }, + { + "entropy": 0.020142577382034687, + "epoch": 0.8168844221105528, + "grad_norm": 2.1875, + "learning_rate": 1.71106980215878e-06, + "loss": 0.01972368061542511, + "mean_token_accuracy": 0.9922790337353945, + "num_tokens": 40491708.0, + "step": 7620 + }, + { + "entropy": 0.019609718415108546, + "epoch": 0.8190284757118927, + "grad_norm": 6.25, + "learning_rate": 1.6724274172342725e-06, + "loss": 0.023548129200935363, + "mean_token_accuracy": 0.991268851980567, + "num_tokens": 40604052.0, + "step": 7640 + }, + { + "entropy": 0.019134915648101013, + "epoch": 0.8211725293132328, + "grad_norm": 1.75, + "learning_rate": 1.6341865227807075e-06, + "loss": 0.019575177133083342, + "mean_token_accuracy": 0.992620923742652, + "num_tokens": 40712926.0, + "step": 7660 + }, + { + "entropy": 0.018662033730379335, + "epoch": 0.8233165829145729, + "grad_norm": 2.265625, + "learning_rate": 1.5963489624751595e-06, + "loss": 0.019268378615379333, + "mean_token_accuracy": 0.992533054947853, + "num_tokens": 40818181.0, + "step": 7680 + }, + { + "entropy": 0.019738298160768865, + "epoch": 0.825460636515913, + "grad_norm": 1.9921875, + "learning_rate": 1.5589165605490918e-06, + "loss": 0.018965110182762146, + "mean_token_accuracy": 0.9918511062860489, + "num_tokens": 40925382.0, + "step": 7700 + }, + { + "entropy": 0.01947517461164807, + "epoch": 0.8276046901172529, + "grad_norm": 2.046875, + "learning_rate": 1.5218911217003985e-06, + "loss": 0.02183605879545212, + "mean_token_accuracy": 0.9911946535110474, + "num_tokens": 41044722.0, + "step": 7720 + }, + { + "entropy": 0.019855259767928145, + "epoch": 0.829748743718593, + "grad_norm": 1.90625, + "learning_rate": 1.4852744310063893e-06, + "loss": 0.020095731317996978, + "mean_token_accuracy": 0.9914216987788678, + "num_tokens": 41163232.0, + "step": 7740 + }, + { + "entropy": 0.01931553952094873, + "epoch": 0.831892797319933, + "grad_norm": 2.703125, + "learning_rate": 1.4490682538377344e-06, + "loss": 0.02068305015563965, + "mean_token_accuracy": 0.9912440560758113, + "num_tokens": 41275818.0, + "step": 7760 + }, + { + "entropy": 0.01949581656031114, + "epoch": 0.834036850921273, + "grad_norm": 2.640625, + "learning_rate": 1.4132743357733502e-06, + "loss": 0.019521139562129974, + "mean_token_accuracy": 0.9927113294601441, + "num_tokens": 41378446.0, + "step": 7780 + }, + { + "entropy": 0.019279925492878647, + "epoch": 0.8361809045226131, + "grad_norm": 1.71875, + "learning_rate": 1.3778944025162399e-06, + "loss": 0.020213739573955537, + "mean_token_accuracy": 0.9918138355016708, + "num_tokens": 41480586.0, + "step": 7800 + }, + { + "entropy": 0.01848278012148512, + "epoch": 0.8383249581239531, + "grad_norm": 1.8046875, + "learning_rate": 1.3429301598102973e-06, + "loss": 0.021417385339736937, + "mean_token_accuracy": 0.992524030432105, + "num_tokens": 41583797.0, + "step": 7820 + }, + { + "entropy": 0.019653417706990695, + "epoch": 0.8404690117252931, + "grad_norm": 1.4375, + "learning_rate": 1.3083832933580608e-06, + "loss": 0.019776181876659395, + "mean_token_accuracy": 0.9927833370864392, + "num_tokens": 41693464.0, + "step": 7840 + }, + { + "entropy": 0.019763251290942207, + "epoch": 0.8426130653266332, + "grad_norm": 3.109375, + "learning_rate": 1.2742554687394537e-06, + "loss": 0.02297937124967575, + "mean_token_accuracy": 0.992657694220543, + "num_tokens": 41790157.0, + "step": 7860 + }, + { + "entropy": 0.019936064798548613, + "epoch": 0.8447571189279732, + "grad_norm": 3.609375, + "learning_rate": 1.2405483313314738e-06, + "loss": 0.02262817770242691, + "mean_token_accuracy": 0.9905056063085794, + "num_tokens": 41893582.0, + "step": 7880 + }, + { + "entropy": 0.01934517203821997, + "epoch": 0.8469011725293132, + "grad_norm": 2.109375, + "learning_rate": 1.2072635062288673e-06, + "loss": 0.020036940276622773, + "mean_token_accuracy": 0.9923514679074288, + "num_tokens": 42004717.0, + "step": 7900 + }, + { + "entropy": 0.01836295023481398, + "epoch": 0.8490452261306533, + "grad_norm": 3.1875, + "learning_rate": 1.174402598165787e-06, + "loss": 0.017996013164520264, + "mean_token_accuracy": 0.9931914895772934, + "num_tokens": 42114536.0, + "step": 7920 + }, + { + "entropy": 0.020249022626080658, + "epoch": 0.8511892797319933, + "grad_norm": 2.5, + "learning_rate": 1.1419671914384134e-06, + "loss": 0.02248285710811615, + "mean_token_accuracy": 0.991206606850028, + "num_tokens": 42222812.0, + "step": 7940 + }, + { + "entropy": 0.02073315970085332, + "epoch": 0.8533333333333334, + "grad_norm": 3.0, + "learning_rate": 1.1099588498285806e-06, + "loss": 0.02276255041360855, + "mean_token_accuracy": 0.9906704191118478, + "num_tokens": 42337872.0, + "step": 7960 + }, + { + "entropy": 0.019947545273566902, + "epoch": 0.8554773869346733, + "grad_norm": 1.5390625, + "learning_rate": 1.0783791165283798e-06, + "loss": 0.0205001100897789, + "mean_token_accuracy": 0.9920544352382421, + "num_tokens": 42443680.0, + "step": 7980 + }, + { + "entropy": 0.017547584273529537, + "epoch": 0.8576214405360134, + "grad_norm": 3.328125, + "learning_rate": 1.0472295140657584e-06, + "loss": 0.01985829621553421, + "mean_token_accuracy": 0.9921385683119297, + "num_tokens": 42548237.0, + "step": 8000 + }, + { + "epoch": 0.8576214405360134, + "eval_entropy": 0.019516329319584958, + "eval_loss": 0.01938561163842678, + "eval_mean_token_accuracy": 0.9923241523106893, + "eval_num_tokens": 42548237.0, + "eval_runtime": 20.235, + "eval_samples_per_second": 37.064, + "eval_steps_per_second": 18.532, + "step": 8000 + }, + { + "entropy": 0.018809675735496967, + "epoch": 0.8597654941373535, + "grad_norm": 1.5859375, + "learning_rate": 1.0165115442311168e-06, + "loss": 0.02014607787132263, + "mean_token_accuracy": 0.9919284801930189, + "num_tokens": 42659432.0, + "step": 8020 + }, + { + "entropy": 0.01733278074198097, + "epoch": 0.8619095477386934, + "grad_norm": 1.921875, + "learning_rate": 9.862266880049033e-07, + "loss": 0.018754176795482635, + "mean_token_accuracy": 0.9923460192978382, + "num_tokens": 42759466.0, + "step": 8040 + }, + { + "entropy": 0.01832941572265554, + "epoch": 0.8640536013400335, + "grad_norm": 2.078125, + "learning_rate": 9.563764054862112e-07, + "loss": 0.020297129452228547, + "mean_token_accuracy": 0.9928287036716938, + "num_tokens": 42868393.0, + "step": 8060 + }, + { + "entropy": 0.020013672889513147, + "epoch": 0.8661976549413736, + "grad_norm": 2.296875, + "learning_rate": 9.26962135822389e-07, + "loss": 0.021075569093227386, + "mean_token_accuracy": 0.9927308529615402, + "num_tokens": 42978572.0, + "step": 8080 + }, + { + "entropy": 0.017360182798279312, + "epoch": 0.8683417085427135, + "grad_norm": 1.5625, + "learning_rate": 8.979852971396508e-07, + "loss": 0.018198615312576293, + "mean_token_accuracy": 0.993445823341608, + "num_tokens": 43086831.0, + "step": 8100 + }, + { + "entropy": 0.02018861417880089, + "epoch": 0.8704857621440536, + "grad_norm": 2.25, + "learning_rate": 8.69447286474705e-07, + "loss": 0.02233450710773468, + "mean_token_accuracy": 0.9902903474867344, + "num_tokens": 43195060.0, + "step": 8120 + }, + { + "entropy": 0.019654828006423486, + "epoch": 0.8726298157453937, + "grad_norm": 2.515625, + "learning_rate": 8.413494797074095e-07, + "loss": 0.01920991241931915, + "mean_token_accuracy": 0.9916286468505859, + "num_tokens": 43306019.0, + "step": 8140 + }, + { + "entropy": 0.02208902873887837, + "epoch": 0.8747738693467336, + "grad_norm": 2.140625, + "learning_rate": 8.136932314944179e-07, + "loss": 0.022708958387374877, + "mean_token_accuracy": 0.9901477582752705, + "num_tokens": 43416895.0, + "step": 8160 + }, + { + "entropy": 0.01981349259772287, + "epoch": 0.8769179229480737, + "grad_norm": 2.71875, + "learning_rate": 7.864798752038949e-07, + "loss": 0.01928192377090454, + "mean_token_accuracy": 0.9919186655431986, + "num_tokens": 43516044.0, + "step": 8180 + }, + { + "entropy": 0.01925912519070607, + "epoch": 0.8790619765494138, + "grad_norm": 1.734375, + "learning_rate": 7.597107228512101e-07, + "loss": 0.02041231542825699, + "mean_token_accuracy": 0.9925541203469038, + "num_tokens": 43622616.0, + "step": 8200 + }, + { + "entropy": 0.01794401331856079, + "epoch": 0.8812060301507537, + "grad_norm": 1.40625, + "learning_rate": 7.333870650356911e-07, + "loss": 0.01903040409088135, + "mean_token_accuracy": 0.9926789086312056, + "num_tokens": 43738048.0, + "step": 8220 + }, + { + "entropy": 0.020185897200371984, + "epoch": 0.8833500837520938, + "grad_norm": 3.078125, + "learning_rate": 7.075101708784038e-07, + "loss": 0.02289024293422699, + "mean_token_accuracy": 0.9907027028501034, + "num_tokens": 43849936.0, + "step": 8240 + }, + { + "entropy": 0.020925003469278634, + "epoch": 0.8854941373534339, + "grad_norm": 2.96875, + "learning_rate": 6.820812879609551e-07, + "loss": 0.02114592641592026, + "mean_token_accuracy": 0.9914819072932005, + "num_tokens": 43953914.0, + "step": 8260 + }, + { + "entropy": 0.019342410219724115, + "epoch": 0.8876381909547739, + "grad_norm": 3.609375, + "learning_rate": 6.571016422653609e-07, + "loss": 0.020218712091445924, + "mean_token_accuracy": 0.9917961444705725, + "num_tokens": 44060574.0, + "step": 8280 + }, + { + "entropy": 0.018030824407537692, + "epoch": 0.8897822445561139, + "grad_norm": 1.171875, + "learning_rate": 6.325724381149201e-07, + "loss": 0.01951337456703186, + "mean_token_accuracy": 0.9863187871873379, + "num_tokens": 44169435.0, + "step": 8300 + }, + { + "entropy": 0.01994664284213741, + "epoch": 0.891926298157454, + "grad_norm": 2.921875, + "learning_rate": 6.084948581161643e-07, + "loss": 0.019201353192329407, + "mean_token_accuracy": 0.9925763100385666, + "num_tokens": 44276020.0, + "step": 8320 + }, + { + "entropy": 0.02081800427977214, + "epoch": 0.894070351758794, + "grad_norm": 1.6953125, + "learning_rate": 5.848700631018411e-07, + "loss": 0.020571966469287873, + "mean_token_accuracy": 0.9917529292404652, + "num_tokens": 44386885.0, + "step": 8340 + }, + { + "entropy": 0.01815503019108746, + "epoch": 0.896214405360134, + "grad_norm": 2.203125, + "learning_rate": 5.616991920749349e-07, + "loss": 0.020456781983375548, + "mean_token_accuracy": 0.9919084422290325, + "num_tokens": 44493234.0, + "step": 8360 + }, + { + "entropy": 0.018217097373872095, + "epoch": 0.898358458961474, + "grad_norm": 1.375, + "learning_rate": 5.389833621537755e-07, + "loss": 0.01739330738782883, + "mean_token_accuracy": 0.9934280533343554, + "num_tokens": 44596525.0, + "step": 8380 + }, + { + "entropy": 0.01944470095006636, + "epoch": 0.9005025125628141, + "grad_norm": 1.875, + "learning_rate": 5.167236685181532e-07, + "loss": 0.01959017515182495, + "mean_token_accuracy": 0.9926484901458025, + "num_tokens": 44704672.0, + "step": 8400 + }, + { + "entropy": 0.01922774040344848, + "epoch": 0.9026465661641541, + "grad_norm": 1.8671875, + "learning_rate": 4.949211843565449e-07, + "loss": 0.018985719978809358, + "mean_token_accuracy": 0.9930604692548514, + "num_tokens": 44802160.0, + "step": 8420 + }, + { + "entropy": 0.019086347535608183, + "epoch": 0.9047906197654941, + "grad_norm": 2.625, + "learning_rate": 4.7357696081435036e-07, + "loss": 0.021893636882305147, + "mean_token_accuracy": 0.9909486912190915, + "num_tokens": 44907874.0, + "step": 8440 + }, + { + "entropy": 0.01974412333381679, + "epoch": 0.9069346733668342, + "grad_norm": 3.1875, + "learning_rate": 4.5269202694322334e-07, + "loss": 0.0225388765335083, + "mean_token_accuracy": 0.9913734450936318, + "num_tokens": 45011015.0, + "step": 8460 + }, + { + "entropy": 0.0196786193088883, + "epoch": 0.9090787269681742, + "grad_norm": 3.484375, + "learning_rate": 4.3226738965146733e-07, + "loss": 0.019231879711151124, + "mean_token_accuracy": 0.9921259760856629, + "num_tokens": 45122211.0, + "step": 8480 + }, + { + "entropy": 0.017996370965624918, + "epoch": 0.9112227805695142, + "grad_norm": 1.3125, + "learning_rate": 4.1230403365547065e-07, + "loss": 0.018080990016460418, + "mean_token_accuracy": 0.9934276740998029, + "num_tokens": 45229362.0, + "step": 8500 + }, + { + "epoch": 0.9112227805695142, + "eval_entropy": 0.019543887719133637, + "eval_loss": 0.019348351284861565, + "eval_mean_token_accuracy": 0.9922665920257568, + "eval_num_tokens": 45229362.0, + "eval_runtime": 20.2762, + "eval_samples_per_second": 36.989, + "eval_steps_per_second": 18.495, + "step": 8500 + }, + { + "entropy": 0.021203386071078967, + "epoch": 0.9133668341708543, + "grad_norm": 1.609375, + "learning_rate": 3.9280292143225264e-07, + "loss": 0.022594137489795683, + "mean_token_accuracy": 0.991113456711173, + "num_tokens": 45338204.0, + "step": 8520 + }, + { + "entropy": 0.018270298717538935, + "epoch": 0.9155108877721944, + "grad_norm": 2.03125, + "learning_rate": 3.737649931730458e-07, + "loss": 0.019554194808006287, + "mean_token_accuracy": 0.9928128100931645, + "num_tokens": 45451611.0, + "step": 8540 + }, + { + "entropy": 0.01802048790036679, + "epoch": 0.9176549413735343, + "grad_norm": 1.8984375, + "learning_rate": 3.5519116673796707e-07, + "loss": 0.01832857131958008, + "mean_token_accuracy": 0.9920665070414543, + "num_tokens": 45552742.0, + "step": 8560 + }, + { + "entropy": 0.019545484634431887, + "epoch": 0.9197989949748744, + "grad_norm": 2.078125, + "learning_rate": 3.3708233761177935e-07, + "loss": 0.019848516583442687, + "mean_token_accuracy": 0.9930632192641496, + "num_tokens": 45654718.0, + "step": 8580 + }, + { + "entropy": 0.019058815206676627, + "epoch": 0.9219430485762145, + "grad_norm": 2.21875, + "learning_rate": 3.1943937886070197e-07, + "loss": 0.019996930658817292, + "mean_token_accuracy": 0.9920886129140853, + "num_tokens": 45764177.0, + "step": 8600 + }, + { + "entropy": 0.019873253857394958, + "epoch": 0.9240871021775544, + "grad_norm": 1.7265625, + "learning_rate": 3.0226314109032984e-07, + "loss": 0.020348772406578064, + "mean_token_accuracy": 0.9924048013985157, + "num_tokens": 45869501.0, + "step": 8620 + }, + { + "entropy": 0.01988984109498233, + "epoch": 0.9262311557788945, + "grad_norm": 2.09375, + "learning_rate": 2.8555445240461834e-07, + "loss": 0.01935010850429535, + "mean_token_accuracy": 0.9919997557997704, + "num_tokens": 45970153.0, + "step": 8640 + }, + { + "entropy": 0.01982094865072668, + "epoch": 0.9283752093802345, + "grad_norm": 2.09375, + "learning_rate": 2.6931411836595643e-07, + "loss": 0.02122329771518707, + "mean_token_accuracy": 0.9918153654783964, + "num_tokens": 46071225.0, + "step": 8660 + }, + { + "entropy": 0.019260422117486086, + "epoch": 0.9305192629815745, + "grad_norm": 2.359375, + "learning_rate": 2.535429219563401e-07, + "loss": 0.0204538568854332, + "mean_token_accuracy": 0.9913510870188474, + "num_tokens": 46180945.0, + "step": 8680 + }, + { + "entropy": 0.019332679143190035, + "epoch": 0.9326633165829146, + "grad_norm": 1.6796875, + "learning_rate": 2.3824162353960457e-07, + "loss": 0.02263512313365936, + "mean_token_accuracy": 0.9922845117747784, + "num_tokens": 46287275.0, + "step": 8700 + }, + { + "entropy": 0.018464213076777015, + "epoch": 0.9348073701842546, + "grad_norm": 2.046875, + "learning_rate": 2.2341096082478698e-07, + "loss": 0.019891925156116486, + "mean_token_accuracy": 0.9930620789527893, + "num_tokens": 46396075.0, + "step": 8720 + }, + { + "entropy": 0.020736305239142893, + "epoch": 0.9369514237855946, + "grad_norm": 1.796875, + "learning_rate": 2.0905164883054053e-07, + "loss": 0.0205291748046875, + "mean_token_accuracy": 0.9927501816302537, + "num_tokens": 46503373.0, + "step": 8740 + }, + { + "entropy": 0.01994141639102054, + "epoch": 0.9390954773869347, + "grad_norm": 1.8671875, + "learning_rate": 1.9516437985067306e-07, + "loss": 0.02209635227918625, + "mean_token_accuracy": 0.991724469140172, + "num_tokens": 46605784.0, + "step": 8760 + }, + { + "entropy": 0.018055033115933837, + "epoch": 0.9412395309882747, + "grad_norm": 1.4375, + "learning_rate": 1.8174982342076819e-07, + "loss": 0.02114318758249283, + "mean_token_accuracy": 0.9917370740324258, + "num_tokens": 46710311.0, + "step": 8780 + }, + { + "entropy": 0.017862834344521163, + "epoch": 0.9433835845896147, + "grad_norm": 1.40625, + "learning_rate": 1.6880862628590343e-07, + "loss": 0.017796410620212554, + "mean_token_accuracy": 0.9937189962714911, + "num_tokens": 46818472.0, + "step": 8800 + }, + { + "entropy": 0.01954027940284959, + "epoch": 0.9455276381909548, + "grad_norm": 1.6015625, + "learning_rate": 1.5634141236947174e-07, + "loss": 0.01990315467119217, + "mean_token_accuracy": 0.9926852386444807, + "num_tokens": 46912066.0, + "step": 8820 + }, + { + "entropy": 0.01788209332662518, + "epoch": 0.9476716917922948, + "grad_norm": 3.28125, + "learning_rate": 1.4434878274309782e-07, + "loss": 0.020390361547470093, + "mean_token_accuracy": 0.9922173459082841, + "num_tokens": 47012839.0, + "step": 8840 + }, + { + "entropy": 0.019225874226185623, + "epoch": 0.9498157453936349, + "grad_norm": 1.546875, + "learning_rate": 1.3283131559766016e-07, + "loss": 0.019317436218261718, + "mean_token_accuracy": 0.9922500483691692, + "num_tokens": 47118537.0, + "step": 8860 + }, + { + "entropy": 0.019644861581696205, + "epoch": 0.9519597989949748, + "grad_norm": 1.921875, + "learning_rate": 1.217895662154178e-07, + "loss": 0.02014264166355133, + "mean_token_accuracy": 0.9908678252249956, + "num_tokens": 47218518.0, + "step": 8880 + }, + { + "entropy": 0.019726947057893084, + "epoch": 0.9541038525963149, + "grad_norm": 1.859375, + "learning_rate": 1.1122406694323628e-07, + "loss": 0.021320286393165588, + "mean_token_accuracy": 0.9916484046727418, + "num_tokens": 47318647.0, + "step": 8900 + }, + { + "entropy": 0.019115359010970678, + "epoch": 0.956247906197655, + "grad_norm": 1.6875, + "learning_rate": 1.0113532716692131e-07, + "loss": 0.019532181322574615, + "mean_token_accuracy": 0.9924892302602529, + "num_tokens": 47423152.0, + "step": 8920 + }, + { + "entropy": 0.019615740292147167, + "epoch": 0.9583919597989949, + "grad_norm": 1.4921875, + "learning_rate": 9.152383328666415e-08, + "loss": 0.024791160225868226, + "mean_token_accuracy": 0.9896657336503267, + "num_tokens": 47525402.0, + "step": 8940 + }, + { + "entropy": 0.018387637558203097, + "epoch": 0.960536013400335, + "grad_norm": 1.5390625, + "learning_rate": 8.239004869358468e-08, + "loss": 0.018946020305156706, + "mean_token_accuracy": 0.9929318383336068, + "num_tokens": 47641223.0, + "step": 8960 + }, + { + "entropy": 0.018579465060270195, + "epoch": 0.9626800670016751, + "grad_norm": 2.625, + "learning_rate": 7.373441374739942e-08, + "loss": 0.021176393330097198, + "mean_token_accuracy": 0.9917469136416912, + "num_tokens": 47742034.0, + "step": 8980 + }, + { + "entropy": 0.019280895775682438, + "epoch": 0.964824120603015, + "grad_norm": 2.375, + "learning_rate": 6.555734575518058e-08, + "loss": 0.020877310633659364, + "mean_token_accuracy": 0.9919904433190823, + "num_tokens": 47836864.0, + "step": 9000 + }, + { + "epoch": 0.964824120603015, + "eval_entropy": 0.01948107976220975, + "eval_loss": 0.019369935616850853, + "eval_mean_token_accuracy": 0.9921530286471049, + "eval_num_tokens": 47836864.0, + "eval_runtime": 20.3121, + "eval_samples_per_second": 36.924, + "eval_steps_per_second": 18.462, + "step": 9000 + }, + { + "entropy": 0.01928818029462036, + "epoch": 0.9669681742043551, + "grad_norm": 2.140625, + "learning_rate": 5.7859238951245567e-08, + "loss": 0.021238549053668974, + "mean_token_accuracy": 0.992226080968976, + "num_tokens": 47934338.0, + "step": 9020 + }, + { + "entropy": 0.018642540688506414, + "epoch": 0.9691122278056952, + "grad_norm": 2.171875, + "learning_rate": 5.0640464478142195e-08, + "loss": 0.01939709484577179, + "mean_token_accuracy": 0.9922053903341294, + "num_tokens": 48034410.0, + "step": 9040 + }, + { + "entropy": 0.0197954305883286, + "epoch": 0.9712562814070351, + "grad_norm": 1.3125, + "learning_rate": 4.3901370368764075e-08, + "loss": 0.022776152193546294, + "mean_token_accuracy": 0.9920450933277607, + "num_tokens": 48137325.0, + "step": 9060 + }, + { + "entropy": 0.019472893824354288, + "epoch": 0.9734003350083752, + "grad_norm": 2.375, + "learning_rate": 3.764228152956184e-08, + "loss": 0.020811089873313905, + "mean_token_accuracy": 0.992926124855876, + "num_tokens": 48237086.0, + "step": 9080 + }, + { + "entropy": 0.020447438965675246, + "epoch": 0.9755443886097153, + "grad_norm": 1.640625, + "learning_rate": 3.1863499724887894e-08, + "loss": 0.01958942860364914, + "mean_token_accuracy": 0.9922197166830301, + "num_tokens": 48350555.0, + "step": 9100 + }, + { + "entropy": 0.019909366283036432, + "epoch": 0.9776884422110553, + "grad_norm": 1.625, + "learning_rate": 2.6565303562438027e-08, + "loss": 0.020442698895931245, + "mean_token_accuracy": 0.9921784479171037, + "num_tokens": 48454450.0, + "step": 9120 + }, + { + "entropy": 0.01829673828160594, + "epoch": 0.9798324958123953, + "grad_norm": 1.59375, + "learning_rate": 2.174794847982775e-08, + "loss": 0.018291810154914857, + "mean_token_accuracy": 0.993328544870019, + "num_tokens": 48546425.0, + "step": 9140 + }, + { + "entropy": 0.018716577784925904, + "epoch": 0.9819765494137354, + "grad_norm": 3.953125, + "learning_rate": 1.7411666732271014e-08, + "loss": 0.021925486624240875, + "mean_token_accuracy": 0.990877429023385, + "num_tokens": 48657622.0, + "step": 9160 + }, + { + "entropy": 0.01957869595878492, + "epoch": 0.9841206030150754, + "grad_norm": 2.03125, + "learning_rate": 1.3556667381386946e-08, + "loss": 0.020254431664943694, + "mean_token_accuracy": 0.992678664624691, + "num_tokens": 48758394.0, + "step": 9180 + }, + { + "entropy": 0.020351028728259734, + "epoch": 0.9862646566164154, + "grad_norm": 2.09375, + "learning_rate": 1.0183136285117912e-08, + "loss": 0.022582833468914033, + "mean_token_accuracy": 0.9906843654811383, + "num_tokens": 48864000.0, + "step": 9200 + }, + { + "entropy": 0.019539019266903778, + "epoch": 0.9884087102177554, + "grad_norm": 2.25, + "learning_rate": 7.291236088768916e-09, + "loss": 0.01814696490764618, + "mean_token_accuracy": 0.9936022497713566, + "num_tokens": 48971817.0, + "step": 9220 + }, + { + "entropy": 0.019871230680359987, + "epoch": 0.9905527638190955, + "grad_norm": 0.9921875, + "learning_rate": 4.881106217168308e-09, + "loss": 0.021477963030338287, + "mean_token_accuracy": 0.991921391710639, + "num_tokens": 49081443.0, + "step": 9240 + }, + { + "entropy": 0.02000341287480296, + "epoch": 0.9926968174204355, + "grad_norm": 2.15625, + "learning_rate": 2.9528628679431627e-09, + "loss": 0.02385435551404953, + "mean_token_accuracy": 0.9907275885343552, + "num_tokens": 49184455.0, + "step": 9260 + }, + { + "entropy": 0.019374547952179456, + "epoch": 0.9948408710217755, + "grad_norm": 2.265625, + "learning_rate": 1.5065990059193182e-09, + "loss": 0.02085937112569809, + "mean_token_accuracy": 0.9919035747647286, + "num_tokens": 49283643.0, + "step": 9280 + }, + { + "entropy": 0.01922852643031092, + "epoch": 0.9969849246231156, + "grad_norm": 1.203125, + "learning_rate": 5.423843586371824e-10, + "loss": 0.020880751311779022, + "mean_token_accuracy": 0.9920044090598822, + "num_tokens": 49384046.0, + "step": 9300 + }, + { + "entropy": 0.021174859253278555, + "epoch": 0.9991289782244556, + "grad_norm": 1.359375, + "learning_rate": 6.026541299219979e-11, + "loss": 0.020621398091316225, + "mean_token_accuracy": 0.9919351786375046, + "num_tokens": 49491112.0, + "step": 9320 + }, + { + "epoch": 1.0, + "eval_entropy": 0.019503846389590764, + "eval_loss": 0.019395070150494576, + "eval_mean_token_accuracy": 0.9922470191319783, + "eval_num_tokens": 49533337.0, + "eval_runtime": 20.3818, + "eval_samples_per_second": 36.798, + "eval_steps_per_second": 18.399, + "step": 9329 + } + ], + "logging_steps": 20, + "max_steps": 9329, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 6.070595342482268e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9329/training_args.bin b/checkpoint-9329/training_args.bin new file mode 100644 index 0000000..96cea35 --- /dev/null +++ b/checkpoint-9329/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:896375d502906677c7c6ac4e94fcf73d56f682781d3d2addb3cca71640f162b7 +size 5777 diff --git a/config.json b/config.json new file mode 100644 index 0000000..c1ff45d --- /dev/null +++ b/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 6144, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "5.7.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..d221636 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,13 @@ +{ + "bos_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95, + "transformers_version": "5.7.0" +} diff --git a/model-00001-of-00002.safetensors b/model-00001-of-00002.safetensors new file mode 100644 index 0000000..9633cab --- /dev/null +++ b/model-00001-of-00002.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:047823c2605576a4620468c2647befc4f2d375aec5619b0b2944fa9b6fffc974 +size 1981418432 diff --git a/model-00002-of-00002.safetensors b/model-00002-of-00002.safetensors new file mode 100644 index 0000000..72683e9 --- /dev/null +++ b/model-00002-of-00002.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e37f5d5ec1fa8eb046faeadd024fb7b509bc791420ee4fada4770fa21b740c9 +size 1459766976 diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..feb74a3 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6e1a2e85a7d6175587f0e8ad7cf78487c1e1689e44b850edd452e28f1b82b6a +size 3441185608 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..f0166d1 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,318 @@ +{ + "metadata": { + "total_parameters": 1720574976, + "total_size": 3441149952 + }, + "weight_map": { + "model.embed_tokens.weight": "model-00001-of-00002.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.k_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.q_norm.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", + "model.norm.weight": "model-00002-of-00002.safetensors" + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..c7afbed --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506 +size 11422650 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..770e41d --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,30 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "is_local": false, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..96cea35 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:896375d502906677c7c6ac4e94fcf73d56f682781d3d2addb3cca71640f162b7 +size 5777