End of training
Browse files- README.md +5 -5
- all_results.json +5 -5
- chat_template.jinja +54 -0
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- tokenizer_config.json +0 -1
- train_results.json +5 -5
- trainer_state.json +203 -53
- training_args.bin +2 -2
README.md
CHANGED
@@ -37,10 +37,10 @@ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing
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### Framework versions
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-
- TRL: 0.
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-
- Transformers: 4.
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- Pytorch: 2.
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- Datasets: 3.
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- Tokenizers: 0.21.1
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## Citations
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@@ -62,7 +62,7 @@ Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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-
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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### Framework versions
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+
- TRL: 0.18.2
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+
- Transformers: 4.52.4
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+
- Pytorch: 2.7.1
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+
- Datasets: 3.6.0
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- Tokenizers: 0.21.1
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## Citations
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```bibtex
|
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
|
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+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
|
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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all_results.json
CHANGED
@@ -1,8 +1,8 @@
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{
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"total_flos": 0.0,
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-
"train_loss":
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-
"train_runtime":
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-
"train_samples":
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-
"train_samples_per_second": 0.
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-
"train_steps_per_second": 0.
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}
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{
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"total_flos": 0.0,
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+
"train_loss": 0.0012827153317630292,
|
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+
"train_runtime": 3022.2304,
|
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+
"train_samples": 2,
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+
"train_samples_per_second": 0.013,
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+
"train_steps_per_second": 0.003
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}
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chat_template.jinja
ADDED
@@ -0,0 +1,54 @@
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
CHANGED
@@ -21,7 +21,7 @@
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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-
"transformers_version": "4.
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"unsloth_fixed": true,
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"use_cache": true,
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"use_sliding_window": false,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.52.4",
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"unsloth_fixed": true,
|
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"use_cache": true,
|
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"use_sliding_window": false,
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generation_config.json
CHANGED
@@ -11,5 +11,5 @@
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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-
"transformers_version": "4.
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}
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"temperature": 0.7,
|
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"top_k": 20,
|
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"top_p": 0.8,
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"transformers_version": "4.52.4"
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}
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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1976163472
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version https://git-lfs.github.com/spec/v1
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oid sha256:6347e2dfdbe7717ba9e9c6aadd257224c8d6cf8d9c313596d00d8ffa25d00dd6
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size 1976163472
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tokenizer_config.json
CHANGED
@@ -195,7 +195,6 @@
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"<|video_pad|>"
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],
|
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"bos_token": null,
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-
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"<|video_pad|>"
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],
|
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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train_results.json
CHANGED
@@ -1,8 +1,8 @@
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{
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"total_flos": 0.0,
|
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-
"train_loss":
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"train_runtime":
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}
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{
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"total_flos": 0.0,
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"train_loss": 0.0012827153317630292,
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"train_runtime": 3022.2304,
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"train_samples": 2,
|
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"train_samples_per_second": 0.013,
|
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+
"train_steps_per_second": 0.003
|
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}
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trainer_state.json
CHANGED
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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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|
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|
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|
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"log_history": [
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"kl": 0.0,
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"loss":
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"epoch": 2.0,
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"grad_norm": 8.42098331451416,
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"loss": 0.0055,
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"reward": 0.014096824452280998,
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"rewards/soft_format_reward_func/mean": 0.0,
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"rewards/soft_format_reward_func/std": 0.0,
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