From 4fb63ddfe13c137bc0a7b52c9e5a92fac1686ee9 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 24 Jul 2026 15:06:09 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: codingmonster1234/Llama-3.1-8B-Instruct-Chess-Reasoning-SFT-v2 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + chat_template.jinja | 109 ++ config.json | 36 + generation_config.json | 14 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 299 +++++ optimizer.pt | 3 + rng_state.pth | 3 + scheduler.pt | 3 + special_tokens_map.json | 17 + tokenizer.json | 3 + tokenizer_config.json | 2063 ++++++++++++++++++++++++++++++ trainer_state.json | 1726 +++++++++++++++++++++++++ training_args.bin | 3 + 18 files changed, 4385 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 optimizer.pt create mode 100644 rng_state.pth create mode 100644 scheduler.pt create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 trainer_state.json create mode 100644 training_args.bin diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..50245ec --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: meta-llama/Llama-3.1-8B-Instruct +library_name: transformers +model_name: output-Llama-3.1-8B-Instruct +tags: +- generated_from_trainer +- sft +- trl +licence: license +--- + +# Model Card for output-Llama-3.1-8B-Instruct + +This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct). +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 + +[Visualize in Weights & Biases](https://wandb.ai/easwar-chess-none/chess-reasoning-v1/runs/87z6fmb8) + + + +This model was trained with SFT. + +### Framework versions + +- TRL: 1.5.1 +- Transformers: 4.57.6 +- Pytorch: 2.10.0 +- Datasets: 5.0.0 +- 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..33089ac --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,109 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- set date_string = "26 Jul 2024" %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message + builtin tools #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if builtin_tools is defined or tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{%- if builtin_tools is defined %} + {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {%- if builtin_tools is defined and tool_call.name in builtin_tools %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- "<|python_tag|>" + tool_call.name + ".call(" }} + {%- for arg_name, arg_val in tool_call.arguments | items %} + {{- arg_name + '="' + arg_val + '"' }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- else %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {%- endif %} + {%- if builtin_tools is defined %} + {#- This means we're in ipython mode #} + {{- "<|eom_id|>" }} + {%- else %} + {{- "<|eot_id|>" }} + {%- endif %} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..06df27b --- /dev/null +++ b/config.json @@ -0,0 +1,36 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "dtype": "bfloat16", + "eos_token_id": 128009, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pad_token_id": 128009, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 8.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "transformers_version": "4.57.6", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..b9c76a3 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,14 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128009, + 128001, + 128008, + 128009 + ], + "pad_token_id": 128009, + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.57.6" +} diff --git a/model-00001-of-00004.safetensors b/model-00001-of-00004.safetensors new file mode 100644 index 0000000..4a3bd70 --- /dev/null +++ b/model-00001-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81da623919c9aa0c93c06a2a07cfc16bfe8291984c1f08f94696a2a0f94d7770 +size 4976698672 diff --git a/model-00002-of-00004.safetensors b/model-00002-of-00004.safetensors new file mode 100644 index 0000000..bc28918 --- /dev/null +++ b/model-00002-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a29d25c11da1748c51b4852f929a40991cb0ac077d228fcea668c0a63084f902 +size 4999802720 diff --git a/model-00003-of-00004.safetensors b/model-00003-of-00004.safetensors new file mode 100644 index 0000000..fca8f6b --- /dev/null +++ b/model-00003-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9cc2d85824f7ce33f7437d5ff8e1427686de2f2c7908a3cee3378cc9dc22fdfb +size 4915916176 diff --git a/model-00004-of-00004.safetensors b/model-00004-of-00004.safetensors new file mode 100644 index 0000000..ae845fc --- /dev/null +++ b/model-00004-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0264c2bb34e566abbee27caf20aa909fb231de307afd86cb6a13c831fc58e4e9 +size 1168138808 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..5c64f1e --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,299 @@ +{ + "metadata": { + "total_parameters": 8030261248, + "total_size": 16060522496 + }, + "weight_map": { + "lm_head.weight": "model-00004-of-00004.safetensors", + "model.embed_tokens.weight": "model-00001-of-00004.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors", + "model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors", + "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors", + "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.norm.weight": "model-00004-of-00004.safetensors" + } +} diff --git a/optimizer.pt b/optimizer.pt new file mode 100644 index 0000000..7c2cfde --- /dev/null +++ b/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b344b2fd7b9674b1cfc4a456d28733d5ddcb0a8d8c383558d87c8b863d0e6d7f +size 32121304431 diff --git a/rng_state.pth b/rng_state.pth new file mode 100644 index 0000000..bd3c190 --- /dev/null +++ b/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4a9f217e852f439efa6bd32fde98d6867f11aa6ea13ddc021ba10af6a0b0934 +size 14645 diff --git a/scheduler.pt b/scheduler.pt new file mode 100644 index 0000000..0b12c6d --- /dev/null +++ b/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7442d26a575a7bc8235130936d6422e376e9975ee74fd452c078b3500999c266 +size 1465 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..b43be96 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..1c1d8d5 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b +size 17209920 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..3beeacc --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,2063 @@ +{ + "added_tokens_decoder": { + "128000": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128001": { + "content": "<|end_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128002": { + "content": "<|reserved_special_token_0|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128003": { + "content": "<|reserved_special_token_1|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128004": { + "content": "<|finetune_right_pad_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128005": { + "content": "<|reserved_special_token_2|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128006": { + "content": "<|start_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128007": { + "content": "<|end_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128008": { + "content": "<|eom_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128009": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128010": { + "content": "<|python_tag|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128011": { + "content": "<|reserved_special_token_3|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128012": { + "content": "<|reserved_special_token_4|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128013": { + "content": "<|reserved_special_token_5|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128014": { + "content": "<|reserved_special_token_6|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128015": { + "content": "<|reserved_special_token_7|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128016": { + "content": "<|reserved_special_token_8|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128017": { + "content": "<|reserved_special_token_9|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128018": { + "content": "<|reserved_special_token_10|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128019": { + "content": "<|reserved_special_token_11|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128020": { + "content": "<|reserved_special_token_12|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128021": { + "content": "<|reserved_special_token_13|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128022": { + "content": "<|reserved_special_token_14|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128023": { + "content": "<|reserved_special_token_15|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128024": { + "content": "<|reserved_special_token_16|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128025": { + "content": "<|reserved_special_token_17|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128026": { + "content": "<|reserved_special_token_18|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128027": { + "content": "<|reserved_special_token_19|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128028": { + "content": "<|reserved_special_token_20|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128029": { + "content": "<|reserved_special_token_21|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128030": { + "content": "<|reserved_special_token_22|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128031": { + "content": "<|reserved_special_token_23|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128032": { + "content": "<|reserved_special_token_24|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128033": { + "content": "<|reserved_special_token_25|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128034": { + "content": "<|reserved_special_token_26|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128035": { + "content": "<|reserved_special_token_27|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128036": { + "content": "<|reserved_special_token_28|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128037": { + "content": "<|reserved_special_token_29|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128038": { + "content": "<|reserved_special_token_30|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128039": { + "content": "<|reserved_special_token_31|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128040": { + "content": "<|reserved_special_token_32|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128041": { + "content": "<|reserved_special_token_33|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128042": { + "content": "<|reserved_special_token_34|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128043": { + "content": "<|reserved_special_token_35|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128044": { + "content": "<|reserved_special_token_36|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128045": { + "content": "<|reserved_special_token_37|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128046": { + "content": "<|reserved_special_token_38|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128047": { + "content": "<|reserved_special_token_39|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128048": { + "content": "<|reserved_special_token_40|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128049": { + "content": "<|reserved_special_token_41|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128050": { + "content": "<|reserved_special_token_42|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128051": { + "content": "<|reserved_special_token_43|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128052": { + "content": "<|reserved_special_token_44|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128053": { + "content": "<|reserved_special_token_45|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128054": { + "content": "<|reserved_special_token_46|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128055": { + "content": "<|reserved_special_token_47|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128056": { + "content": "<|reserved_special_token_48|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128057": { + "content": "<|reserved_special_token_49|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128058": { + "content": "<|reserved_special_token_50|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128059": { + "content": "<|reserved_special_token_51|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128060": { + "content": "<|reserved_special_token_52|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128061": { + "content": "<|reserved_special_token_53|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128062": { + "content": "<|reserved_special_token_54|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128063": { + "content": "<|reserved_special_token_55|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128064": { + "content": "<|reserved_special_token_56|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128065": { + "content": "<|reserved_special_token_57|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128066": { + "content": "<|reserved_special_token_58|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128067": { + "content": "<|reserved_special_token_59|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128068": { + "content": "<|reserved_special_token_60|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128069": { + "content": "<|reserved_special_token_61|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128070": { + "content": "<|reserved_special_token_62|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128071": { + "content": "<|reserved_special_token_63|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128072": { + "content": "<|reserved_special_token_64|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128073": { + "content": "<|reserved_special_token_65|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128074": { + "content": "<|reserved_special_token_66|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128075": { + "content": "<|reserved_special_token_67|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128076": { + "content": "<|reserved_special_token_68|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128077": { + "content": "<|reserved_special_token_69|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128078": { + "content": "<|reserved_special_token_70|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128079": { + "content": "<|reserved_special_token_71|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128080": { + "content": "<|reserved_special_token_72|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128081": { + "content": "<|reserved_special_token_73|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128082": { + "content": "<|reserved_special_token_74|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128083": { + "content": "<|reserved_special_token_75|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128084": { + "content": "<|reserved_special_token_76|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128085": { + "content": "<|reserved_special_token_77|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128086": { + "content": "<|reserved_special_token_78|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128087": { + "content": "<|reserved_special_token_79|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128088": { + "content": "<|reserved_special_token_80|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128089": { + "content": "<|reserved_special_token_81|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128090": { + "content": "<|reserved_special_token_82|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128091": { + "content": "<|reserved_special_token_83|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128092": { + "content": "<|reserved_special_token_84|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128093": { + "content": "<|reserved_special_token_85|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128094": { + "content": "<|reserved_special_token_86|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128095": { + "content": "<|reserved_special_token_87|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128096": { + "content": "<|reserved_special_token_88|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128097": { + "content": "<|reserved_special_token_89|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128098": { + "content": "<|reserved_special_token_90|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128099": { + "content": "<|reserved_special_token_91|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128100": { + "content": "<|reserved_special_token_92|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128101": { + "content": "<|reserved_special_token_93|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128102": { + "content": "<|reserved_special_token_94|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128103": { + "content": "<|reserved_special_token_95|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128104": { + "content": "<|reserved_special_token_96|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128105": { + "content": "<|reserved_special_token_97|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128106": { + "content": "<|reserved_special_token_98|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128107": { + "content": "<|reserved_special_token_99|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128108": { + "content": "<|reserved_special_token_100|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128109": { + "content": "<|reserved_special_token_101|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128110": { + "content": "<|reserved_special_token_102|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128111": { + "content": "<|reserved_special_token_103|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128112": { + "content": "<|reserved_special_token_104|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128113": { + "content": "<|reserved_special_token_105|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128114": { + "content": "<|reserved_special_token_106|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128115": { + "content": "<|reserved_special_token_107|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128116": { + "content": "<|reserved_special_token_108|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128117": { + "content": "<|reserved_special_token_109|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128118": { + "content": "<|reserved_special_token_110|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128119": { + "content": "<|reserved_special_token_111|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128120": { + "content": "<|reserved_special_token_112|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128121": { + "content": "<|reserved_special_token_113|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128122": { + "content": "<|reserved_special_token_114|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128123": { + "content": "<|reserved_special_token_115|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128124": { + "content": "<|reserved_special_token_116|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128125": { + "content": "<|reserved_special_token_117|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128126": { + "content": "<|reserved_special_token_118|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128127": { + "content": "<|reserved_special_token_119|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128128": { + "content": "<|reserved_special_token_120|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128129": { + "content": "<|reserved_special_token_121|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128130": { + "content": "<|reserved_special_token_122|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128131": { + "content": "<|reserved_special_token_123|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128132": { + "content": "<|reserved_special_token_124|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128133": { + "content": "<|reserved_special_token_125|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128134": { + "content": "<|reserved_special_token_126|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128135": { + "content": "<|reserved_special_token_127|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128136": { + "content": "<|reserved_special_token_128|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128137": { + "content": "<|reserved_special_token_129|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128138": { + "content": "<|reserved_special_token_130|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128139": { + "content": "<|reserved_special_token_131|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128140": { + "content": "<|reserved_special_token_132|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128141": { + "content": "<|reserved_special_token_133|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128142": { + "content": "<|reserved_special_token_134|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128143": { + "content": "<|reserved_special_token_135|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128144": { + "content": "<|reserved_special_token_136|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128145": { + "content": "<|reserved_special_token_137|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128146": { + "content": "<|reserved_special_token_138|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128147": { + "content": "<|reserved_special_token_139|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128148": { + "content": "<|reserved_special_token_140|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128149": { + "content": "<|reserved_special_token_141|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128150": { + "content": "<|reserved_special_token_142|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128151": { + "content": "<|reserved_special_token_143|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128152": { + "content": "<|reserved_special_token_144|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128153": { + "content": "<|reserved_special_token_145|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128154": { + "content": "<|reserved_special_token_146|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128155": { + "content": "<|reserved_special_token_147|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128156": { + "content": "<|reserved_special_token_148|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128157": { + "content": "<|reserved_special_token_149|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128158": { + "content": "<|reserved_special_token_150|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128159": { + "content": "<|reserved_special_token_151|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128160": { + "content": "<|reserved_special_token_152|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128161": { + "content": "<|reserved_special_token_153|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128162": { + "content": "<|reserved_special_token_154|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128163": { + "content": "<|reserved_special_token_155|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128164": { + "content": "<|reserved_special_token_156|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128165": { + "content": "<|reserved_special_token_157|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128166": { + "content": "<|reserved_special_token_158|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128167": { + "content": "<|reserved_special_token_159|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128168": { + "content": "<|reserved_special_token_160|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128169": { + "content": "<|reserved_special_token_161|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128170": { + "content": "<|reserved_special_token_162|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128171": { + "content": "<|reserved_special_token_163|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128172": { + "content": "<|reserved_special_token_164|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128173": { + "content": "<|reserved_special_token_165|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128174": { + "content": "<|reserved_special_token_166|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128175": { + "content": "<|reserved_special_token_167|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128176": { + "content": "<|reserved_special_token_168|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128177": { + "content": "<|reserved_special_token_169|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128178": { + "content": "<|reserved_special_token_170|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128179": { + "content": "<|reserved_special_token_171|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128180": { + "content": "<|reserved_special_token_172|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128181": { + "content": "<|reserved_special_token_173|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128182": { + "content": "<|reserved_special_token_174|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128183": { + "content": "<|reserved_special_token_175|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128184": { + "content": "<|reserved_special_token_176|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128185": { + "content": "<|reserved_special_token_177|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128186": { + "content": "<|reserved_special_token_178|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128187": { + "content": "<|reserved_special_token_179|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128188": { + "content": "<|reserved_special_token_180|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128189": { + "content": "<|reserved_special_token_181|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128190": { + "content": "<|reserved_special_token_182|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128191": { + "content": "<|reserved_special_token_183|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128192": { + "content": "<|reserved_special_token_184|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128193": { + "content": "<|reserved_special_token_185|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128194": { + "content": "<|reserved_special_token_186|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128195": { + "content": "<|reserved_special_token_187|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128196": { + "content": "<|reserved_special_token_188|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128197": { + "content": "<|reserved_special_token_189|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128198": { + "content": "<|reserved_special_token_190|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128199": { + "content": "<|reserved_special_token_191|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128200": { + "content": "<|reserved_special_token_192|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128201": { + "content": "<|reserved_special_token_193|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128202": { + "content": "<|reserved_special_token_194|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128203": { + "content": "<|reserved_special_token_195|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128204": { + "content": "<|reserved_special_token_196|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128205": { + "content": "<|reserved_special_token_197|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128206": { + "content": "<|reserved_special_token_198|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128207": { + "content": "<|reserved_special_token_199|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128208": { + "content": "<|reserved_special_token_200|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128209": { + "content": "<|reserved_special_token_201|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128210": { + "content": "<|reserved_special_token_202|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128211": { + "content": "<|reserved_special_token_203|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128212": { + "content": "<|reserved_special_token_204|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128213": { + "content": "<|reserved_special_token_205|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128214": { + "content": "<|reserved_special_token_206|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128215": { + "content": "<|reserved_special_token_207|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128216": { + "content": "<|reserved_special_token_208|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128217": { + "content": "<|reserved_special_token_209|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128218": { + "content": "<|reserved_special_token_210|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128219": { + "content": "<|reserved_special_token_211|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128220": { + "content": "<|reserved_special_token_212|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128221": { + "content": "<|reserved_special_token_213|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128222": { + "content": "<|reserved_special_token_214|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128223": { + "content": "<|reserved_special_token_215|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128224": { + "content": "<|reserved_special_token_216|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128225": { + "content": "<|reserved_special_token_217|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128226": { + "content": "<|reserved_special_token_218|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128227": { + "content": "<|reserved_special_token_219|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128228": { + "content": "<|reserved_special_token_220|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128229": { + "content": "<|reserved_special_token_221|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128230": { + "content": "<|reserved_special_token_222|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128231": { + "content": "<|reserved_special_token_223|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128232": { + "content": "<|reserved_special_token_224|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128233": { + "content": "<|reserved_special_token_225|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128234": { + "content": "<|reserved_special_token_226|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128235": { + "content": "<|reserved_special_token_227|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128236": { + "content": "<|reserved_special_token_228|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128237": { + "content": "<|reserved_special_token_229|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128238": { + "content": "<|reserved_special_token_230|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128239": { + "content": "<|reserved_special_token_231|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128240": { + "content": "<|reserved_special_token_232|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128241": { + "content": "<|reserved_special_token_233|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128242": { + "content": "<|reserved_special_token_234|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128243": { + "content": "<|reserved_special_token_235|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128244": { + "content": "<|reserved_special_token_236|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128245": { + "content": "<|reserved_special_token_237|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128246": { + "content": "<|reserved_special_token_238|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128247": { + "content": "<|reserved_special_token_239|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128248": { + "content": "<|reserved_special_token_240|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128249": { + "content": "<|reserved_special_token_241|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128250": { + "content": "<|reserved_special_token_242|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128251": { + "content": "<|reserved_special_token_243|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128252": { + "content": "<|reserved_special_token_244|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128253": { + "content": "<|reserved_special_token_245|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128254": { + "content": "<|reserved_special_token_246|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128255": { + "content": "<|reserved_special_token_247|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|begin_of_text|>", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "<|eot_id|>", + "tokenizer_class": "PreTrainedTokenizerFast" +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..7fce4ca --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,1726 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 168, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 1.8498776704072952, + "epoch": 0.005956813104988831, + "grad_norm": 10.25, + "learning_rate": 2e-05, + "loss": 1.7708, + "mean_token_accuracy": 0.599120743572712, + "num_tokens": 14922.0, + "step": 1 + }, + { + "entropy": 0.9681647345423698, + "epoch": 0.011913626209977662, + "grad_norm": 31.5, + "learning_rate": 1.9999805729315383e-05, + "loss": 2.1657, + "mean_token_accuracy": 0.5869186520576477, + "num_tokens": 30082.0, + "step": 2 + }, + { + "entropy": 1.3554665446281433, + "epoch": 0.017870439314966492, + "grad_norm": 10.5, + "learning_rate": 1.999922292480975e-05, + "loss": 1.5454, + "mean_token_accuracy": 0.655014343559742, + "num_tokens": 44458.0, + "step": 3 + }, + { + "entropy": 1.4668754190206528, + "epoch": 0.023827252419955324, + "grad_norm": 5.21875, + "learning_rate": 1.9998251609127465e-05, + "loss": 1.4003, + "mean_token_accuracy": 0.6703809276223183, + "num_tokens": 59381.0, + "step": 4 + }, + { + "entropy": 1.472496047616005, + "epoch": 0.029784065524944156, + "grad_norm": 4.625, + "learning_rate": 1.9996891820008165e-05, + "loss": 1.366, + "mean_token_accuracy": 0.6713378205895424, + "num_tokens": 74182.0, + "step": 5 + }, + { + "entropy": 1.2937641143798828, + "epoch": 0.035740878629932984, + "grad_norm": 4.4375, + "learning_rate": 1.9995143610285275e-05, + "loss": 1.2684, + "mean_token_accuracy": 0.6905824095010757, + "num_tokens": 88869.0, + "step": 6 + }, + { + "entropy": 1.1484729945659637, + "epoch": 0.04169769173492182, + "grad_norm": 4.15625, + "learning_rate": 1.9993007047883988e-05, + "loss": 1.1351, + "mean_token_accuracy": 0.7156129479408264, + "num_tokens": 103614.0, + "step": 7 + }, + { + "entropy": 1.10194443911314, + "epoch": 0.04765450483991065, + "grad_norm": 4.03125, + "learning_rate": 1.999048221581858e-05, + "loss": 1.1358, + "mean_token_accuracy": 0.7098847851157188, + "num_tokens": 118065.0, + "step": 8 + }, + { + "entropy": 1.08524502068758, + "epoch": 0.05361131794489948, + "grad_norm": 4.0625, + "learning_rate": 1.9987569212189224e-05, + "loss": 1.1283, + "mean_token_accuracy": 0.7138840556144714, + "num_tokens": 133029.0, + "step": 9 + }, + { + "entropy": 1.0641729906201363, + "epoch": 0.05956813104988831, + "grad_norm": 3.75, + "learning_rate": 1.998426815017817e-05, + "loss": 1.0785, + "mean_token_accuracy": 0.7212501168251038, + "num_tokens": 147810.0, + "step": 10 + }, + { + "entropy": 1.105129525065422, + "epoch": 0.06552494415487714, + "grad_norm": 3.859375, + "learning_rate": 1.9980579158045322e-05, + "loss": 1.1286, + "mean_token_accuracy": 0.706063449382782, + "num_tokens": 162781.0, + "step": 11 + }, + { + "entropy": 1.0460990443825722, + "epoch": 0.07148175725986597, + "grad_norm": 3.546875, + "learning_rate": 1.997650237912329e-05, + "loss": 1.0538, + "mean_token_accuracy": 0.7267542257905006, + "num_tokens": 176562.0, + "step": 12 + }, + { + "entropy": 1.096757523715496, + "epoch": 0.0774385703648548, + "grad_norm": 3.921875, + "learning_rate": 1.9972037971811802e-05, + "loss": 1.1255, + "mean_token_accuracy": 0.7059001103043556, + "num_tokens": 190938.0, + "step": 13 + }, + { + "entropy": 1.0409524962306023, + "epoch": 0.08339538346984364, + "grad_norm": 3.28125, + "learning_rate": 1.996718610957155e-05, + "loss": 1.0051, + "mean_token_accuracy": 0.7358693853020668, + "num_tokens": 205420.0, + "step": 14 + }, + { + "entropy": 0.998079240322113, + "epoch": 0.08935219657483247, + "grad_norm": 3.203125, + "learning_rate": 1.9961946980917457e-05, + "loss": 0.9823, + "mean_token_accuracy": 0.7424589470028877, + "num_tokens": 219949.0, + "step": 15 + }, + { + "entropy": 1.0189584344625473, + "epoch": 0.0953090096798213, + "grad_norm": 3.234375, + "learning_rate": 1.9956320789411338e-05, + "loss": 1.0227, + "mean_token_accuracy": 0.727337934076786, + "num_tokens": 235321.0, + "step": 16 + }, + { + "entropy": 1.0216224193572998, + "epoch": 0.10126582278481013, + "grad_norm": 3.421875, + "learning_rate": 1.9950307753654016e-05, + "loss": 1.058, + "mean_token_accuracy": 0.7266535609960556, + "num_tokens": 249201.0, + "step": 17 + }, + { + "entropy": 1.0217409878969193, + "epoch": 0.10722263588979895, + "grad_norm": 3.265625, + "learning_rate": 1.99439081072768e-05, + "loss": 1.0486, + "mean_token_accuracy": 0.7262789905071259, + "num_tokens": 263940.0, + "step": 18 + }, + { + "entropy": 0.971530094742775, + "epoch": 0.11317944899478778, + "grad_norm": 3.25, + "learning_rate": 1.9937122098932428e-05, + "loss": 0.9757, + "mean_token_accuracy": 0.7425716742873192, + "num_tokens": 279156.0, + "step": 19 + }, + { + "entropy": 0.9931668639183044, + "epoch": 0.11913626209977662, + "grad_norm": 3.21875, + "learning_rate": 1.9929949992285397e-05, + "loss": 1.0121, + "mean_token_accuracy": 0.7311301454901695, + "num_tokens": 293490.0, + "step": 20 + }, + { + "entropy": 0.9790017381310463, + "epoch": 0.12509307520476545, + "grad_norm": 3.125, + "learning_rate": 1.9922392066001724e-05, + "loss": 0.9584, + "mean_token_accuracy": 0.742002509534359, + "num_tokens": 308809.0, + "step": 21 + }, + { + "entropy": 0.937186636030674, + "epoch": 0.13104988830975428, + "grad_norm": 3.171875, + "learning_rate": 1.9914448613738107e-05, + "loss": 0.9301, + "mean_token_accuracy": 0.7529638782143593, + "num_tokens": 323801.0, + "step": 22 + }, + { + "entropy": 0.9425854161381721, + "epoch": 0.1370067014147431, + "grad_norm": 2.859375, + "learning_rate": 1.9906119944130527e-05, + "loss": 0.8937, + "mean_token_accuracy": 0.7547886222600937, + "num_tokens": 338809.0, + "step": 23 + }, + { + "entropy": 0.9758685901761055, + "epoch": 0.14296351451973194, + "grad_norm": 2.9375, + "learning_rate": 1.9897406380782262e-05, + "loss": 0.972, + "mean_token_accuracy": 0.7386127412319183, + "num_tokens": 353678.0, + "step": 24 + }, + { + "entropy": 0.9490021914243698, + "epoch": 0.14892032762472077, + "grad_norm": 2.90625, + "learning_rate": 1.9888308262251286e-05, + "loss": 0.9421, + "mean_token_accuracy": 0.7473454773426056, + "num_tokens": 368974.0, + "step": 25 + }, + { + "entropy": 0.9499934315681458, + "epoch": 0.1548771407297096, + "grad_norm": 3.078125, + "learning_rate": 1.9878825942037147e-05, + "loss": 0.9335, + "mean_token_accuracy": 0.7485107779502869, + "num_tokens": 383442.0, + "step": 26 + }, + { + "entropy": 0.9617905765771866, + "epoch": 0.16083395383469842, + "grad_norm": 3.28125, + "learning_rate": 1.9868959788567213e-05, + "loss": 0.9586, + "mean_token_accuracy": 0.7396569699048996, + "num_tokens": 397144.0, + "step": 27 + }, + { + "entropy": 0.9021903425455093, + "epoch": 0.16679076693968728, + "grad_norm": 3.09375, + "learning_rate": 1.985871018518236e-05, + "loss": 0.9265, + "mean_token_accuracy": 0.7496669217944145, + "num_tokens": 411072.0, + "step": 28 + }, + { + "entropy": 0.9532824382185936, + "epoch": 0.1727475800446761, + "grad_norm": 3.234375, + "learning_rate": 1.9848077530122083e-05, + "loss": 0.9562, + "mean_token_accuracy": 0.7413105815649033, + "num_tokens": 424984.0, + "step": 29 + }, + { + "entropy": 0.8909583687782288, + "epoch": 0.17870439314966494, + "grad_norm": 2.984375, + "learning_rate": 1.9837062236509013e-05, + "loss": 0.8659, + "mean_token_accuracy": 0.7643471732735634, + "num_tokens": 439653.0, + "step": 30 + }, + { + "entropy": 0.9447234719991684, + "epoch": 0.18466120625465376, + "grad_norm": 3.25, + "learning_rate": 1.9825664732332886e-05, + "loss": 0.9754, + "mean_token_accuracy": 0.7384027242660522, + "num_tokens": 453859.0, + "step": 31 + }, + { + "entropy": 1.0093699097633362, + "epoch": 0.1906180193596426, + "grad_norm": 2.90625, + "learning_rate": 1.981388546043388e-05, + "loss": 1.0087, + "mean_token_accuracy": 0.728794701397419, + "num_tokens": 469134.0, + "step": 32 + }, + { + "entropy": 0.9534936100244522, + "epoch": 0.19657483246463142, + "grad_norm": 3.140625, + "learning_rate": 1.9801724878485438e-05, + "loss": 0.9662, + "mean_token_accuracy": 0.7423886656761169, + "num_tokens": 483181.0, + "step": 33 + }, + { + "entropy": 0.9070451781153679, + "epoch": 0.20253164556962025, + "grad_norm": 2.90625, + "learning_rate": 1.9789183458976485e-05, + "loss": 0.8896, + "mean_token_accuracy": 0.7565986886620522, + "num_tokens": 497611.0, + "step": 34 + }, + { + "entropy": 0.8499675318598747, + "epoch": 0.20848845867460908, + "grad_norm": 2.9375, + "learning_rate": 1.977626168919305e-05, + "loss": 0.8478, + "mean_token_accuracy": 0.7672473266720772, + "num_tokens": 511742.0, + "step": 35 + }, + { + "entropy": 0.864535354077816, + "epoch": 0.2144452717795979, + "grad_norm": 2.6875, + "learning_rate": 1.9762960071199334e-05, + "loss": 0.8922, + "mean_token_accuracy": 0.7637492269277573, + "num_tokens": 527336.0, + "step": 36 + }, + { + "entropy": 0.8508971408009529, + "epoch": 0.22040208488458674, + "grad_norm": 2.953125, + "learning_rate": 1.9749279121818235e-05, + "loss": 0.8842, + "mean_token_accuracy": 0.7573391646146774, + "num_tokens": 541854.0, + "step": 37 + }, + { + "entropy": 0.9110140576958656, + "epoch": 0.22635889798957556, + "grad_norm": 2.9375, + "learning_rate": 1.9735219372611232e-05, + "loss": 0.9444, + "mean_token_accuracy": 0.7438178360462189, + "num_tokens": 556835.0, + "step": 38 + }, + { + "entropy": 0.8960491791367531, + "epoch": 0.23231571109456442, + "grad_norm": 2.796875, + "learning_rate": 1.9720781369857747e-05, + "loss": 0.8835, + "mean_token_accuracy": 0.7513013556599617, + "num_tokens": 571583.0, + "step": 39 + }, + { + "entropy": 0.9107659161090851, + "epoch": 0.23827252419955325, + "grad_norm": 2.828125, + "learning_rate": 1.970596567453391e-05, + "loss": 0.907, + "mean_token_accuracy": 0.7521690353751183, + "num_tokens": 585756.0, + "step": 40 + }, + { + "entropy": 0.9291563332080841, + "epoch": 0.24422933730454208, + "grad_norm": 3.0, + "learning_rate": 1.969077286229078e-05, + "loss": 0.9122, + "mean_token_accuracy": 0.7513668984174728, + "num_tokens": 600414.0, + "step": 41 + }, + { + "entropy": 0.9352462142705917, + "epoch": 0.2501861504095309, + "grad_norm": 2.953125, + "learning_rate": 1.9675203523431964e-05, + "loss": 0.946, + "mean_token_accuracy": 0.7436617910861969, + "num_tokens": 615312.0, + "step": 42 + }, + { + "entropy": 0.8683317676186562, + "epoch": 0.2561429635145197, + "grad_norm": 2.875, + "learning_rate": 1.9659258262890683e-05, + "loss": 0.8753, + "mean_token_accuracy": 0.7570225298404694, + "num_tokens": 630044.0, + "step": 43 + }, + { + "entropy": 0.8450798913836479, + "epoch": 0.26209977661950856, + "grad_norm": 2.71875, + "learning_rate": 1.964293770020628e-05, + "loss": 0.8343, + "mean_token_accuracy": 0.7695427238941193, + "num_tokens": 644892.0, + "step": 44 + }, + { + "entropy": 0.8672548830509186, + "epoch": 0.2680565897244974, + "grad_norm": 3.046875, + "learning_rate": 1.962624246950012e-05, + "loss": 0.8707, + "mean_token_accuracy": 0.761024072766304, + "num_tokens": 659231.0, + "step": 45 + }, + { + "entropy": 0.8786624893546104, + "epoch": 0.2740134028294862, + "grad_norm": 3.015625, + "learning_rate": 1.9609173219450998e-05, + "loss": 0.9213, + "mean_token_accuracy": 0.7514273300766945, + "num_tokens": 673897.0, + "step": 46 + }, + { + "entropy": 0.8764197081327438, + "epoch": 0.2799702159344751, + "grad_norm": 2.828125, + "learning_rate": 1.9591730613269878e-05, + "loss": 0.893, + "mean_token_accuracy": 0.7548534125089645, + "num_tokens": 689100.0, + "step": 47 + }, + { + "entropy": 0.8522048592567444, + "epoch": 0.2859270290394639, + "grad_norm": 3.265625, + "learning_rate": 1.957391532867418e-05, + "loss": 0.889, + "mean_token_accuracy": 0.7559506595134735, + "num_tokens": 703112.0, + "step": 48 + }, + { + "entropy": 0.8236794173717499, + "epoch": 0.29188384214445273, + "grad_norm": 3.0, + "learning_rate": 1.955572805786141e-05, + "loss": 0.8568, + "mean_token_accuracy": 0.76165372133255, + "num_tokens": 718088.0, + "step": 49 + }, + { + "entropy": 0.8609960898756981, + "epoch": 0.29784065524944153, + "grad_norm": 2.890625, + "learning_rate": 1.953716950748227e-05, + "loss": 0.8717, + "mean_token_accuracy": 0.7558733373880386, + "num_tokens": 732625.0, + "step": 50 + }, + { + "entropy": 0.8724842816591263, + "epoch": 0.3037974683544304, + "grad_norm": 2.90625, + "learning_rate": 1.9518240398613226e-05, + "loss": 0.8882, + "mean_token_accuracy": 0.7598619237542152, + "num_tokens": 747023.0, + "step": 51 + }, + { + "entropy": 0.8647735044360161, + "epoch": 0.3097542814594192, + "grad_norm": 2.765625, + "learning_rate": 1.9498941466728462e-05, + "loss": 0.8551, + "mean_token_accuracy": 0.765186607837677, + "num_tokens": 762573.0, + "step": 52 + }, + { + "entropy": 0.8827357888221741, + "epoch": 0.31571109456440805, + "grad_norm": 2.890625, + "learning_rate": 1.947927346167132e-05, + "loss": 0.8665, + "mean_token_accuracy": 0.7552934139966965, + "num_tokens": 777221.0, + "step": 53 + }, + { + "entropy": 0.9407295510172844, + "epoch": 0.32166790766939685, + "grad_norm": 2.875, + "learning_rate": 1.945923714762516e-05, + "loss": 0.9366, + "mean_token_accuracy": 0.7403006702661514, + "num_tokens": 792127.0, + "step": 54 + }, + { + "entropy": 0.8792069405317307, + "epoch": 0.3276247207743857, + "grad_norm": 2.78125, + "learning_rate": 1.9438833303083677e-05, + "loss": 0.8368, + "mean_token_accuracy": 0.7654407322406769, + "num_tokens": 806760.0, + "step": 55 + }, + { + "entropy": 0.8472597599029541, + "epoch": 0.33358153387937456, + "grad_norm": 2.84375, + "learning_rate": 1.9418062720820636e-05, + "loss": 0.8111, + "mean_token_accuracy": 0.7706683054566383, + "num_tokens": 821430.0, + "step": 56 + }, + { + "entropy": 0.9144669771194458, + "epoch": 0.33953834698436336, + "grad_norm": 2.96875, + "learning_rate": 1.9396926207859085e-05, + "loss": 0.9204, + "mean_token_accuracy": 0.7486886456608772, + "num_tokens": 835919.0, + "step": 57 + }, + { + "entropy": 0.8967088237404823, + "epoch": 0.3454951600893522, + "grad_norm": 2.9375, + "learning_rate": 1.9375424585439994e-05, + "loss": 0.9173, + "mean_token_accuracy": 0.7497560828924179, + "num_tokens": 851231.0, + "step": 58 + }, + { + "entropy": 0.7931167930364609, + "epoch": 0.351451973194341, + "grad_norm": 2.875, + "learning_rate": 1.935355868899034e-05, + "loss": 0.7795, + "mean_token_accuracy": 0.7818325236439705, + "num_tokens": 865741.0, + "step": 59 + }, + { + "entropy": 0.8725070431828499, + "epoch": 0.3574087862993299, + "grad_norm": 3.109375, + "learning_rate": 1.9331329368090664e-05, + "loss": 0.8915, + "mean_token_accuracy": 0.7528255730867386, + "num_tokens": 879839.0, + "step": 60 + }, + { + "entropy": 0.8313445076346397, + "epoch": 0.3633655994043187, + "grad_norm": 2.765625, + "learning_rate": 1.9308737486442045e-05, + "loss": 0.8357, + "mean_token_accuracy": 0.7655151635408401, + "num_tokens": 894957.0, + "step": 61 + }, + { + "entropy": 0.9018023759126663, + "epoch": 0.36932241250930753, + "grad_norm": 3.0, + "learning_rate": 1.9285783921832537e-05, + "loss": 0.9242, + "mean_token_accuracy": 0.7491057440638542, + "num_tokens": 909035.0, + "step": 62 + }, + { + "entropy": 0.7900512292981148, + "epoch": 0.37527922561429633, + "grad_norm": 2.796875, + "learning_rate": 1.926246956610309e-05, + "loss": 0.8221, + "mean_token_accuracy": 0.7712607458233833, + "num_tokens": 923699.0, + "step": 63 + }, + { + "entropy": 0.7777893543243408, + "epoch": 0.3812360387192852, + "grad_norm": 2.671875, + "learning_rate": 1.9238795325112867e-05, + "loss": 0.7841, + "mean_token_accuracy": 0.7807165011763573, + "num_tokens": 937978.0, + "step": 64 + }, + { + "entropy": 0.8521334230899811, + "epoch": 0.387192851824274, + "grad_norm": 2.765625, + "learning_rate": 1.921476211870408e-05, + "loss": 0.8709, + "mean_token_accuracy": 0.756039597094059, + "num_tokens": 953189.0, + "step": 65 + }, + { + "entropy": 0.8546372950077057, + "epoch": 0.39314966492926284, + "grad_norm": 2.828125, + "learning_rate": 1.9190370880666206e-05, + "loss": 0.8477, + "mean_token_accuracy": 0.7626818343997002, + "num_tokens": 967694.0, + "step": 66 + }, + { + "entropy": 0.875230647623539, + "epoch": 0.3991064780342517, + "grad_norm": 2.9375, + "learning_rate": 1.9165622558699763e-05, + "loss": 0.9035, + "mean_token_accuracy": 0.7550581321120262, + "num_tokens": 981909.0, + "step": 67 + }, + { + "entropy": 0.8000878095626831, + "epoch": 0.4050632911392405, + "grad_norm": 2.796875, + "learning_rate": 1.9140518114379433e-05, + "loss": 0.8157, + "mean_token_accuracy": 0.7727322801947594, + "num_tokens": 996738.0, + "step": 68 + }, + { + "entropy": 0.8553767129778862, + "epoch": 0.41102010424422936, + "grad_norm": 2.703125, + "learning_rate": 1.9115058523116734e-05, + "loss": 0.821, + "mean_token_accuracy": 0.7679566293954849, + "num_tokens": 1011216.0, + "step": 69 + }, + { + "entropy": 0.849766805768013, + "epoch": 0.41697691734921816, + "grad_norm": 2.703125, + "learning_rate": 1.908924477412211e-05, + "loss": 0.8123, + "mean_token_accuracy": 0.7721216231584549, + "num_tokens": 1026284.0, + "step": 70 + }, + { + "entropy": 0.8852875977754593, + "epoch": 0.422933730454207, + "grad_norm": 2.703125, + "learning_rate": 1.9063077870366504e-05, + "loss": 0.8797, + "mean_token_accuracy": 0.7579413875937462, + "num_tokens": 1041027.0, + "step": 71 + }, + { + "entropy": 0.8613467961549759, + "epoch": 0.4288905435591958, + "grad_norm": 2.59375, + "learning_rate": 1.903655882854237e-05, + "loss": 0.8642, + "mean_token_accuracy": 0.759636901319027, + "num_tokens": 1056203.0, + "step": 72 + }, + { + "entropy": 0.8282302543520927, + "epoch": 0.43484735666418467, + "grad_norm": 2.9375, + "learning_rate": 1.900968867902419e-05, + "loss": 0.8192, + "mean_token_accuracy": 0.7647311314940453, + "num_tokens": 1069994.0, + "step": 73 + }, + { + "entropy": 0.8411881923675537, + "epoch": 0.44080416976917347, + "grad_norm": 3.109375, + "learning_rate": 1.898246846582844e-05, + "loss": 0.8602, + "mean_token_accuracy": 0.7605989798903465, + "num_tokens": 1084280.0, + "step": 74 + }, + { + "entropy": 0.7777607515454292, + "epoch": 0.4467609828741623, + "grad_norm": 2.6875, + "learning_rate": 1.895489924657301e-05, + "loss": 0.7905, + "mean_token_accuracy": 0.7830282896757126, + "num_tokens": 1099332.0, + "step": 75 + }, + { + "entropy": 0.7751665562391281, + "epoch": 0.4527177959791511, + "grad_norm": 2.921875, + "learning_rate": 1.8926982092436117e-05, + "loss": 0.7942, + "mean_token_accuracy": 0.775122381746769, + "num_tokens": 1113758.0, + "step": 76 + }, + { + "entropy": 0.8039308115839958, + "epoch": 0.45867460908414, + "grad_norm": 2.84375, + "learning_rate": 1.8898718088114688e-05, + "loss": 0.842, + "mean_token_accuracy": 0.7672324255108833, + "num_tokens": 1128814.0, + "step": 77 + }, + { + "entropy": 0.7784704491496086, + "epoch": 0.46463142218912884, + "grad_norm": 2.84375, + "learning_rate": 1.887010833178222e-05, + "loss": 0.7914, + "mean_token_accuracy": 0.7708240523934364, + "num_tokens": 1143044.0, + "step": 78 + }, + { + "entropy": 0.7843014299869537, + "epoch": 0.47058823529411764, + "grad_norm": 2.796875, + "learning_rate": 1.8841153935046098e-05, + "loss": 0.7906, + "mean_token_accuracy": 0.7736422047019005, + "num_tokens": 1158074.0, + "step": 79 + }, + { + "entropy": 0.8171004354953766, + "epoch": 0.4765450483991065, + "grad_norm": 2.859375, + "learning_rate": 1.8811856022904423e-05, + "loss": 0.8187, + "mean_token_accuracy": 0.7730057835578918, + "num_tokens": 1172247.0, + "step": 80 + }, + { + "entropy": 0.7312511578202248, + "epoch": 0.4825018615040953, + "grad_norm": 2.609375, + "learning_rate": 1.8782215733702286e-05, + "loss": 0.7357, + "mean_token_accuracy": 0.7900804728269577, + "num_tokens": 1187054.0, + "step": 81 + }, + { + "entropy": 0.8289615735411644, + "epoch": 0.48845867460908415, + "grad_norm": 2.828125, + "learning_rate": 1.8752234219087538e-05, + "loss": 0.8527, + "mean_token_accuracy": 0.7677234709262848, + "num_tokens": 1201655.0, + "step": 82 + }, + { + "entropy": 0.8504510894417763, + "epoch": 0.49441548771407295, + "grad_norm": 2.953125, + "learning_rate": 1.8721912643966055e-05, + "loss": 0.8618, + "mean_token_accuracy": 0.7615446001291275, + "num_tokens": 1215941.0, + "step": 83 + }, + { + "entropy": 0.8274638205766678, + "epoch": 0.5003723008190618, + "grad_norm": 2.734375, + "learning_rate": 1.8691252186456465e-05, + "loss": 0.8268, + "mean_token_accuracy": 0.7684095054864883, + "num_tokens": 1230066.0, + "step": 84 + }, + { + "entropy": 0.8172023519873619, + "epoch": 0.5063291139240507, + "grad_norm": 2.703125, + "learning_rate": 1.866025403784439e-05, + "loss": 0.8084, + "mean_token_accuracy": 0.7703977599740028, + "num_tokens": 1245411.0, + "step": 85 + }, + { + "entropy": 0.8355653882026672, + "epoch": 0.5122859270290394, + "grad_norm": 2.671875, + "learning_rate": 1.862891940253613e-05, + "loss": 0.8434, + "mean_token_accuracy": 0.7626368254423141, + "num_tokens": 1260081.0, + "step": 86 + }, + { + "entropy": 0.780564196407795, + "epoch": 0.5182427401340283, + "grad_norm": 2.625, + "learning_rate": 1.8597249498011906e-05, + "loss": 0.7753, + "mean_token_accuracy": 0.7802636325359344, + "num_tokens": 1274169.0, + "step": 87 + }, + { + "entropy": 0.7850174382328987, + "epoch": 0.5241995532390171, + "grad_norm": 4.03125, + "learning_rate": 1.8565245554778516e-05, + "loss": 0.7824, + "mean_token_accuracy": 0.7741290479898453, + "num_tokens": 1288810.0, + "step": 88 + }, + { + "entropy": 0.8584944009780884, + "epoch": 0.530156366344006, + "grad_norm": 2.796875, + "learning_rate": 1.8532908816321557e-05, + "loss": 0.8295, + "mean_token_accuracy": 0.7657060846686363, + "num_tokens": 1303352.0, + "step": 89 + }, + { + "entropy": 0.8400231376290321, + "epoch": 0.5361131794489948, + "grad_norm": 2.734375, + "learning_rate": 1.8500240539057093e-05, + "loss": 0.8352, + "mean_token_accuracy": 0.7626395598053932, + "num_tokens": 1317948.0, + "step": 90 + }, + { + "entropy": 0.8977006673812866, + "epoch": 0.5420699925539836, + "grad_norm": 2.796875, + "learning_rate": 1.8467241992282842e-05, + "loss": 0.8941, + "mean_token_accuracy": 0.7465017959475517, + "num_tokens": 1332383.0, + "step": 91 + }, + { + "entropy": 0.7989586219191551, + "epoch": 0.5480268056589724, + "grad_norm": 2.6875, + "learning_rate": 1.843391445812886e-05, + "loss": 0.793, + "mean_token_accuracy": 0.7722924873232841, + "num_tokens": 1346797.0, + "step": 92 + }, + { + "entropy": 0.7695709094405174, + "epoch": 0.5539836187639613, + "grad_norm": 2.71875, + "learning_rate": 1.8400259231507716e-05, + "loss": 0.7725, + "mean_token_accuracy": 0.779527023434639, + "num_tokens": 1360935.0, + "step": 93 + }, + { + "entropy": 0.789020448923111, + "epoch": 0.5599404318689502, + "grad_norm": 2.546875, + "learning_rate": 1.83662776200642e-05, + "loss": 0.7813, + "mean_token_accuracy": 0.7760330885648727, + "num_tokens": 1375392.0, + "step": 94 + }, + { + "entropy": 0.771543525159359, + "epoch": 0.5658972449739389, + "grad_norm": 2.6875, + "learning_rate": 1.833197094412449e-05, + "loss": 0.7697, + "mean_token_accuracy": 0.7768829986453056, + "num_tokens": 1389642.0, + "step": 95 + }, + { + "entropy": 0.7857540473341942, + "epoch": 0.5718540580789278, + "grad_norm": 2.6875, + "learning_rate": 1.8297340536644877e-05, + "loss": 0.8023, + "mean_token_accuracy": 0.7720776870846748, + "num_tokens": 1404072.0, + "step": 96 + }, + { + "entropy": 0.7771449312567711, + "epoch": 0.5778108711839166, + "grad_norm": 2.59375, + "learning_rate": 1.826238774315995e-05, + "loss": 0.7691, + "mean_token_accuracy": 0.7801476120948792, + "num_tokens": 1418644.0, + "step": 97 + }, + { + "entropy": 0.7695603221654892, + "epoch": 0.5837676842889055, + "grad_norm": 2.78125, + "learning_rate": 1.8227113921730336e-05, + "loss": 0.7678, + "mean_token_accuracy": 0.7779613733291626, + "num_tokens": 1432848.0, + "step": 98 + }, + { + "entropy": 0.7877998277544975, + "epoch": 0.5897244973938943, + "grad_norm": 3.171875, + "learning_rate": 1.819152044288992e-05, + "loss": 0.8406, + "mean_token_accuracy": 0.7601675689220428, + "num_tokens": 1446026.0, + "step": 99 + }, + { + "entropy": 0.7991646230220795, + "epoch": 0.5956813104988831, + "grad_norm": 2.890625, + "learning_rate": 1.8155608689592604e-05, + "loss": 0.8248, + "mean_token_accuracy": 0.7615427002310753, + "num_tokens": 1461039.0, + "step": 100 + }, + { + "entropy": 0.7964242175221443, + "epoch": 0.6016381236038719, + "grad_norm": 2.671875, + "learning_rate": 1.811938005715857e-05, + "loss": 0.771, + "mean_token_accuracy": 0.7777570560574532, + "num_tokens": 1475526.0, + "step": 101 + }, + { + "entropy": 0.8020969182252884, + "epoch": 0.6075949367088608, + "grad_norm": 2.65625, + "learning_rate": 1.8082835953220055e-05, + "loss": 0.8012, + "mean_token_accuracy": 0.7739049047231674, + "num_tokens": 1489823.0, + "step": 102 + }, + { + "entropy": 0.8560249656438828, + "epoch": 0.6135517498138496, + "grad_norm": 2.953125, + "learning_rate": 1.8045977797666685e-05, + "loss": 0.853, + "mean_token_accuracy": 0.760221041738987, + "num_tokens": 1504383.0, + "step": 103 + }, + { + "entropy": 0.8747018277645111, + "epoch": 0.6195085629188384, + "grad_norm": 2.96875, + "learning_rate": 1.8008807022590283e-05, + "loss": 0.8782, + "mean_token_accuracy": 0.7500127330422401, + "num_tokens": 1517806.0, + "step": 104 + }, + { + "entropy": 0.8000111356377602, + "epoch": 0.6254653760238272, + "grad_norm": 2.734375, + "learning_rate": 1.7971325072229227e-05, + "loss": 0.8354, + "mean_token_accuracy": 0.768502801656723, + "num_tokens": 1532497.0, + "step": 105 + }, + { + "entropy": 0.8312654495239258, + "epoch": 0.6314221891288161, + "grad_norm": 2.625, + "learning_rate": 1.7933533402912354e-05, + "loss": 0.8225, + "mean_token_accuracy": 0.7695776075124741, + "num_tokens": 1547634.0, + "step": 106 + }, + { + "entropy": 0.8169409111142159, + "epoch": 0.637379002233805, + "grad_norm": 2.5625, + "learning_rate": 1.7895433483002356e-05, + "loss": 0.8334, + "mean_token_accuracy": 0.7691005021333694, + "num_tokens": 1562026.0, + "step": 107 + }, + { + "entropy": 0.8326558768749237, + "epoch": 0.6433358153387937, + "grad_norm": 3.078125, + "learning_rate": 1.785702679283874e-05, + "loss": 0.8656, + "mean_token_accuracy": 0.7613467499613762, + "num_tokens": 1575785.0, + "step": 108 + }, + { + "entropy": 0.8096423745155334, + "epoch": 0.6492926284437825, + "grad_norm": 2.59375, + "learning_rate": 1.78183148246803e-05, + "loss": 0.7975, + "mean_token_accuracy": 0.7697085440158844, + "num_tokens": 1591294.0, + "step": 109 + }, + { + "entropy": 0.8186523467302322, + "epoch": 0.6552494415487714, + "grad_norm": 2.796875, + "learning_rate": 1.777929908264715e-05, + "loss": 0.8136, + "mean_token_accuracy": 0.7723612412810326, + "num_tokens": 1604958.0, + "step": 110 + }, + { + "entropy": 0.836366131901741, + "epoch": 0.6612062546537603, + "grad_norm": 2.8125, + "learning_rate": 1.7739981082662275e-05, + "loss": 0.8341, + "mean_token_accuracy": 0.7610246166586876, + "num_tokens": 1620204.0, + "step": 111 + }, + { + "entropy": 0.7696946710348129, + "epoch": 0.6671630677587491, + "grad_norm": 2.578125, + "learning_rate": 1.7700362352392632e-05, + "loss": 0.7748, + "mean_token_accuracy": 0.7808224633336067, + "num_tokens": 1635257.0, + "step": 112 + }, + { + "entropy": 0.8294946998357773, + "epoch": 0.6731198808637379, + "grad_norm": 2.96875, + "learning_rate": 1.766044443118978e-05, + "loss": 0.8364, + "mean_token_accuracy": 0.764847993850708, + "num_tokens": 1649668.0, + "step": 113 + }, + { + "entropy": 0.8253164365887642, + "epoch": 0.6790766939687267, + "grad_norm": 2.765625, + "learning_rate": 1.762022887003011e-05, + "loss": 0.815, + "mean_token_accuracy": 0.7684815153479576, + "num_tokens": 1663868.0, + "step": 114 + }, + { + "entropy": 0.7470197826623917, + "epoch": 0.6850335070737156, + "grad_norm": 2.765625, + "learning_rate": 1.757971723145453e-05, + "loss": 0.741, + "mean_token_accuracy": 0.7875789180397987, + "num_tokens": 1678332.0, + "step": 115 + }, + { + "entropy": 0.8128603473305702, + "epoch": 0.6909903201787044, + "grad_norm": 2.640625, + "learning_rate": 1.75389110895078e-05, + "loss": 0.8328, + "mean_token_accuracy": 0.7683836743235588, + "num_tokens": 1692798.0, + "step": 116 + }, + { + "entropy": 0.778105765581131, + "epoch": 0.6969471332836932, + "grad_norm": 2.796875, + "learning_rate": 1.7497812029677344e-05, + "loss": 0.7876, + "mean_token_accuracy": 0.7749749645590782, + "num_tokens": 1706403.0, + "step": 117 + }, + { + "entropy": 0.7804563790559769, + "epoch": 0.702903946388682, + "grad_norm": 3.265625, + "learning_rate": 1.7456421648831658e-05, + "loss": 0.7908, + "mean_token_accuracy": 0.7710901945829391, + "num_tokens": 1720637.0, + "step": 118 + }, + { + "entropy": 0.8247266188263893, + "epoch": 0.7088607594936709, + "grad_norm": 2.59375, + "learning_rate": 1.741474155515827e-05, + "loss": 0.8222, + "mean_token_accuracy": 0.7634738311171532, + "num_tokens": 1735839.0, + "step": 119 + }, + { + "entropy": 0.793066531419754, + "epoch": 0.7148175725986597, + "grad_norm": 2.796875, + "learning_rate": 1.737277336810124e-05, + "loss": 0.7645, + "mean_token_accuracy": 0.782652385532856, + "num_tokens": 1750093.0, + "step": 120 + }, + { + "entropy": 0.7985671162605286, + "epoch": 0.7207743857036486, + "grad_norm": 2.703125, + "learning_rate": 1.7330518718298263e-05, + "loss": 0.8126, + "mean_token_accuracy": 0.7698739618062973, + "num_tokens": 1765040.0, + "step": 121 + }, + { + "entropy": 0.815500408411026, + "epoch": 0.7267311988086373, + "grad_norm": 2.6875, + "learning_rate": 1.7287979247517285e-05, + "loss": 0.8181, + "mean_token_accuracy": 0.7727770283818245, + "num_tokens": 1779610.0, + "step": 122 + }, + { + "entropy": 0.7722458392381668, + "epoch": 0.7326880119136262, + "grad_norm": 2.671875, + "learning_rate": 1.7245156608592727e-05, + "loss": 0.7501, + "mean_token_accuracy": 0.7853315845131874, + "num_tokens": 1794351.0, + "step": 123 + }, + { + "entropy": 0.8114070221781731, + "epoch": 0.7386448250186151, + "grad_norm": 2.71875, + "learning_rate": 1.7202052465361268e-05, + "loss": 0.8195, + "mean_token_accuracy": 0.7718819826841354, + "num_tokens": 1809510.0, + "step": 124 + }, + { + "entropy": 0.8247914463281631, + "epoch": 0.7446016381236039, + "grad_norm": 2.875, + "learning_rate": 1.7158668492597186e-05, + "loss": 0.8497, + "mean_token_accuracy": 0.7609348967671394, + "num_tokens": 1823089.0, + "step": 125 + }, + { + "entropy": 0.8314331695437431, + "epoch": 0.7505584512285927, + "grad_norm": 2.828125, + "learning_rate": 1.7115006375947304e-05, + "loss": 0.8345, + "mean_token_accuracy": 0.7624246254563332, + "num_tokens": 1837660.0, + "step": 126 + }, + { + "entropy": 0.8372238278388977, + "epoch": 0.7565152643335815, + "grad_norm": 2.765625, + "learning_rate": 1.7071067811865477e-05, + "loss": 0.8322, + "mean_token_accuracy": 0.7600690796971321, + "num_tokens": 1851869.0, + "step": 127 + }, + { + "entropy": 0.7920485585927963, + "epoch": 0.7624720774385704, + "grad_norm": 2.71875, + "learning_rate": 1.7026854507546694e-05, + "loss": 0.7779, + "mean_token_accuracy": 0.7758874222636223, + "num_tokens": 1866454.0, + "step": 128 + }, + { + "entropy": 0.8146230578422546, + "epoch": 0.7684288905435592, + "grad_norm": 2.703125, + "learning_rate": 1.698236818086073e-05, + "loss": 0.8168, + "mean_token_accuracy": 0.763184204697609, + "num_tokens": 1880761.0, + "step": 129 + }, + { + "entropy": 0.8262524753808975, + "epoch": 0.774385703648548, + "grad_norm": 2.625, + "learning_rate": 1.693761056028542e-05, + "loss": 0.8409, + "mean_token_accuracy": 0.7651299685239792, + "num_tokens": 1895812.0, + "step": 130 + }, + { + "entropy": 0.7881096228957176, + "epoch": 0.7803425167535368, + "grad_norm": 2.546875, + "learning_rate": 1.689258338483947e-05, + "loss": 0.764, + "mean_token_accuracy": 0.7817611619830132, + "num_tokens": 1910875.0, + "step": 131 + }, + { + "entropy": 0.7774896547198296, + "epoch": 0.7862993298585257, + "grad_norm": 2.53125, + "learning_rate": 1.6847288404014937e-05, + "loss": 0.7729, + "mean_token_accuracy": 0.7737534716725349, + "num_tokens": 1925210.0, + "step": 132 + }, + { + "entropy": 0.8020075485110283, + "epoch": 0.7922561429635145, + "grad_norm": 2.609375, + "learning_rate": 1.6801727377709195e-05, + "loss": 0.7858, + "mean_token_accuracy": 0.7749705463647842, + "num_tokens": 1939706.0, + "step": 133 + }, + { + "entropy": 0.7764975354075432, + "epoch": 0.7982129560685034, + "grad_norm": 2.765625, + "learning_rate": 1.6755902076156606e-05, + "loss": 0.7727, + "mean_token_accuracy": 0.7722419053316116, + "num_tokens": 1953951.0, + "step": 134 + }, + { + "entropy": 0.7186224311590195, + "epoch": 0.8041697691734921, + "grad_norm": 2.65625, + "learning_rate": 1.67098142798597e-05, + "loss": 0.7469, + "mean_token_accuracy": 0.7871624454855919, + "num_tokens": 1968478.0, + "step": 135 + }, + { + "entropy": 0.7475928589701653, + "epoch": 0.810126582278481, + "grad_norm": 2.703125, + "learning_rate": 1.6663465779520042e-05, + "loss": 0.7718, + "mean_token_accuracy": 0.784703366458416, + "num_tokens": 1982972.0, + "step": 136 + }, + { + "entropy": 0.772842176258564, + "epoch": 0.8160833953834699, + "grad_norm": 2.65625, + "learning_rate": 1.6616858375968596e-05, + "loss": 0.7802, + "mean_token_accuracy": 0.7753547430038452, + "num_tokens": 1997617.0, + "step": 137 + }, + { + "entropy": 0.775102287530899, + "epoch": 0.8220402084884587, + "grad_norm": 2.8125, + "learning_rate": 1.6569993880095807e-05, + "loss": 0.8019, + "mean_token_accuracy": 0.7741298601031303, + "num_tokens": 2011907.0, + "step": 138 + }, + { + "entropy": 0.7909455075860023, + "epoch": 0.8279970215934475, + "grad_norm": 2.75, + "learning_rate": 1.6522874112781213e-05, + "loss": 0.8084, + "mean_token_accuracy": 0.7722871527075768, + "num_tokens": 2026748.0, + "step": 139 + }, + { + "entropy": 0.7726485431194305, + "epoch": 0.8339538346984363, + "grad_norm": 2.609375, + "learning_rate": 1.6475500904822707e-05, + "loss": 0.7771, + "mean_token_accuracy": 0.7788979560136795, + "num_tokens": 2041028.0, + "step": 140 + }, + { + "entropy": 0.7483975887298584, + "epoch": 0.8399106478034252, + "grad_norm": 2.53125, + "learning_rate": 1.6427876096865394e-05, + "loss": 0.7464, + "mean_token_accuracy": 0.7817212343215942, + "num_tokens": 2056459.0, + "step": 141 + }, + { + "entropy": 0.8063411265611649, + "epoch": 0.845867460908414, + "grad_norm": 2.640625, + "learning_rate": 1.6380001539330088e-05, + "loss": 0.8058, + "mean_token_accuracy": 0.768462710082531, + "num_tokens": 2071572.0, + "step": 142 + }, + { + "entropy": 0.81895712018013, + "epoch": 0.8518242740134029, + "grad_norm": 2.640625, + "learning_rate": 1.6331879092341402e-05, + "loss": 0.823, + "mean_token_accuracy": 0.7620123773813248, + "num_tokens": 2086270.0, + "step": 143 + }, + { + "entropy": 0.7827034220099449, + "epoch": 0.8577810871183916, + "grad_norm": 2.59375, + "learning_rate": 1.6283510625655474e-05, + "loss": 0.7777, + "mean_token_accuracy": 0.7804948911070824, + "num_tokens": 2100982.0, + "step": 144 + }, + { + "entropy": 0.7757274061441422, + "epoch": 0.8637379002233805, + "grad_norm": 2.40625, + "learning_rate": 1.6234898018587336e-05, + "loss": 0.7534, + "mean_token_accuracy": 0.7780917063355446, + "num_tokens": 2115803.0, + "step": 145 + }, + { + "entropy": 0.7186077982187271, + "epoch": 0.8696947133283693, + "grad_norm": 2.421875, + "learning_rate": 1.6186043159937884e-05, + "loss": 0.7088, + "mean_token_accuracy": 0.7938716411590576, + "num_tokens": 2130971.0, + "step": 146 + }, + { + "entropy": 0.7525220066308975, + "epoch": 0.8756515264333582, + "grad_norm": 2.5, + "learning_rate": 1.6136947947920477e-05, + "loss": 0.7376, + "mean_token_accuracy": 0.7867058664560318, + "num_tokens": 2145552.0, + "step": 147 + }, + { + "entropy": 0.8051852136850357, + "epoch": 0.8816083395383469, + "grad_norm": 2.734375, + "learning_rate": 1.608761429008721e-05, + "loss": 0.8408, + "mean_token_accuracy": 0.7625209614634514, + "num_tokens": 2160069.0, + "step": 148 + }, + { + "entropy": 0.7129626348614693, + "epoch": 0.8875651526433358, + "grad_norm": 2.65625, + "learning_rate": 1.6038044103254775e-05, + "loss": 0.7091, + "mean_token_accuracy": 0.7939872592687607, + "num_tokens": 2175381.0, + "step": 149 + }, + { + "entropy": 0.7308422699570656, + "epoch": 0.8935219657483247, + "grad_norm": 2.6875, + "learning_rate": 1.5988239313430004e-05, + "loss": 0.7568, + "mean_token_accuracy": 0.7810374870896339, + "num_tokens": 2190275.0, + "step": 150 + }, + { + "entropy": 0.7620030343532562, + "epoch": 0.8994787788533135, + "grad_norm": 2.671875, + "learning_rate": 1.5938201855735017e-05, + "loss": 0.7797, + "mean_token_accuracy": 0.7755021527409554, + "num_tokens": 2204775.0, + "step": 151 + }, + { + "entropy": 0.8035119771957397, + "epoch": 0.9054355919583023, + "grad_norm": 2.734375, + "learning_rate": 1.5887933674332048e-05, + "loss": 0.8385, + "mean_token_accuracy": 0.7616443932056427, + "num_tokens": 2219016.0, + "step": 152 + }, + { + "entropy": 0.7269817739725113, + "epoch": 0.9113924050632911, + "grad_norm": 2.46875, + "learning_rate": 1.5837436722347902e-05, + "loss": 0.7148, + "mean_token_accuracy": 0.7955159544944763, + "num_tokens": 2233377.0, + "step": 153 + }, + { + "entropy": 0.7402635291218758, + "epoch": 0.91734921816828, + "grad_norm": 2.5625, + "learning_rate": 1.578671296179806e-05, + "loss": 0.7271, + "mean_token_accuracy": 0.7927682846784592, + "num_tokens": 2248523.0, + "step": 154 + }, + { + "entropy": 0.7693969383835793, + "epoch": 0.9233060312732688, + "grad_norm": 2.578125, + "learning_rate": 1.573576436351046e-05, + "loss": 0.7685, + "mean_token_accuracy": 0.7787287458777428, + "num_tokens": 2263288.0, + "step": 155 + }, + { + "entropy": 0.8041390031576157, + "epoch": 0.9292628443782577, + "grad_norm": 2.59375, + "learning_rate": 1.5684592907048925e-05, + "loss": 0.7886, + "mean_token_accuracy": 0.7773109897971153, + "num_tokens": 2278085.0, + "step": 156 + }, + { + "entropy": 0.7588407248258591, + "epoch": 0.9352196574832464, + "grad_norm": 2.5625, + "learning_rate": 1.563320058063622e-05, + "loss": 0.721, + "mean_token_accuracy": 0.7877694144845009, + "num_tokens": 2292673.0, + "step": 157 + }, + { + "entropy": 0.7770284041762352, + "epoch": 0.9411764705882353, + "grad_norm": 2.359375, + "learning_rate": 1.5581589381076843e-05, + "loss": 0.746, + "mean_token_accuracy": 0.7794747352600098, + "num_tokens": 2307646.0, + "step": 158 + }, + { + "entropy": 0.7631111741065979, + "epoch": 0.9471332836932241, + "grad_norm": 2.578125, + "learning_rate": 1.5529761313679396e-05, + "loss": 0.7196, + "mean_token_accuracy": 0.7826567068696022, + "num_tokens": 2321559.0, + "step": 159 + }, + { + "entropy": 0.7937072217464447, + "epoch": 0.953090096798213, + "grad_norm": 2.625, + "learning_rate": 1.5477718392178716e-05, + "loss": 0.8045, + "mean_token_accuracy": 0.771477721631527, + "num_tokens": 2336203.0, + "step": 160 + }, + { + "entropy": 0.8479283452033997, + "epoch": 0.9590469099032017, + "grad_norm": 2.890625, + "learning_rate": 1.5425462638657597e-05, + "loss": 0.9102, + "mean_token_accuracy": 0.750169575214386, + "num_tokens": 2351344.0, + "step": 161 + }, + { + "entropy": 0.7240238338708878, + "epoch": 0.9650037230081906, + "grad_norm": 2.46875, + "learning_rate": 1.5372996083468242e-05, + "loss": 0.717, + "mean_token_accuracy": 0.7932362481951714, + "num_tokens": 2366108.0, + "step": 162 + }, + { + "entropy": 0.7222452163696289, + "epoch": 0.9709605361131795, + "grad_norm": 2.609375, + "learning_rate": 1.5320320765153367e-05, + "loss": 0.7294, + "mean_token_accuracy": 0.791483536362648, + "num_tokens": 2381068.0, + "step": 163 + }, + { + "entropy": 0.7367577031254768, + "epoch": 0.9769173492181683, + "grad_norm": 2.625, + "learning_rate": 1.526743873036701e-05, + "loss": 0.7407, + "mean_token_accuracy": 0.784386046230793, + "num_tokens": 2395295.0, + "step": 164 + }, + { + "entropy": 0.7757211104035378, + "epoch": 0.9828741623231572, + "grad_norm": 2.625, + "learning_rate": 1.5214352033794981e-05, + "loss": 0.8013, + "mean_token_accuracy": 0.7718920782208443, + "num_tokens": 2410456.0, + "step": 165 + }, + { + "entropy": 0.7407322824001312, + "epoch": 0.9888309754281459, + "grad_norm": 2.828125, + "learning_rate": 1.5161062738075068e-05, + "loss": 0.7465, + "mean_token_accuracy": 0.7847936823964119, + "num_tokens": 2424439.0, + "step": 166 + }, + { + "entropy": 0.7530843243002892, + "epoch": 0.9947877885331348, + "grad_norm": 2.8125, + "learning_rate": 1.5107572913716859e-05, + "loss": 0.782, + "mean_token_accuracy": 0.7779848203063011, + "num_tokens": 2438585.0, + "step": 167 + }, + { + "entropy": 0.8105373467717852, + "epoch": 1.0, + "grad_norm": 2.84375, + "learning_rate": 1.505388463902131e-05, + "loss": 0.8184, + "mean_token_accuracy": 0.7624573196683612, + "num_tokens": 2452101.0, + "step": 168 + }, + { + "epoch": 1.0, + "eval_entropy": 0.7692393018802007, + "eval_loss": 0.7709271311759949, + "eval_mean_token_accuracy": 0.7770779418945313, + "eval_model_preparation_time": 0.0048, + "eval_num_tokens": 2452101.0, + "eval_runtime": 26.6985, + "eval_samples_per_second": 5.618, + "eval_steps_per_second": 5.618, + "step": 168 + } + ], + "logging_steps": 1, + "max_steps": 504, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1.1041699975881523e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..28f7dd7 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f22a264095ec6612953a39dc62fecd33b4d1e9cedf9b6fe622b8c7ff36882590 +size 6353