Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +60 -0
- added_tokens.json +28 -0
- all_results.json +8 -0
- chat_template.jinja +85 -0
- config.json +38 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00013.safetensors +3 -0
- model-00002-of-00013.safetensors +3 -0
- model-00003-of-00013.safetensors +3 -0
- model-00004-of-00013.safetensors +3 -0
- model-00005-of-00013.safetensors +3 -0
- model-00006-of-00013.safetensors +3 -0
- model-00007-of-00013.safetensors +3 -0
- model-00008-of-00013.safetensors +3 -0
- model-00009-of-00013.safetensors +3 -0
- model-00010-of-00013.safetensors +3 -0
- model-00011-of-00013.safetensors +3 -0
- model-00012-of-00013.safetensors +3 -0
- model-00013-of-00013.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- train_results.json +8 -0
- trainer_log.jsonl +316 -0
- trainer_state.json +2248 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen3-30B-A3B-Base
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: base_s1k_bs16_lr1e-5_zero3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# base_s1k_bs16_lr1e-5_zero3
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This model is a fine-tuned version of [Qwen/Qwen3-30B-A3B-Base](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base) on the s1k_1.1 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 16
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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### Training results
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### Framework versions
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- Transformers 4.52.0.dev0
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- Pytorch 2.7.0+cu126
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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all_results.json
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{
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"epoch": 5.0,
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"total_flos": 78480301031424.0,
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"train_loss": 0.7375902401076423,
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"train_runtime": 10558.2121,
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"train_samples_per_second": 0.474,
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"train_steps_per_second": 0.03
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}
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chat_template.jinja
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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 + '\n\n' }}
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{%- endif %}
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{{- "# 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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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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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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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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+
{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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+
{%- endif %}
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{{- '}\n</tool_call>' }}
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+
{%- endfor %}
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+
{%- endif %}
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+
{{- '<|im_end|>\n' }}
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+
{%- elif message.role == "tool" %}
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+
{%- if loop.first 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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{%- if enable_thinking is defined and enable_thinking is false %}
|
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{{- '<think>\n\n</think>\n\n' }}
|
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{%- endif %}
|
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{%- endif %}
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config.json
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{
|
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"architectures": [
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"Qwen3MoeForCausalLM"
|
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],
|
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"attention_bias": false,
|
6 |
+
"attention_dropout": 0.0,
|
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+
"bos_token_id": 151643,
|
8 |
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"decoder_sparse_step": 1,
|
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+
"eos_token_id": 151643,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
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"hidden_size": 2048,
|
13 |
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"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 6144,
|
15 |
+
"max_position_embeddings": 32768,
|
16 |
+
"max_window_layers": 48,
|
17 |
+
"mlp_only_layers": [],
|
18 |
+
"model_type": "qwen3_moe",
|
19 |
+
"moe_intermediate_size": 768,
|
20 |
+
"norm_topk_prob": true,
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_experts": 128,
|
23 |
+
"num_experts_per_tok": 8,
|
24 |
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"num_hidden_layers": 48,
|
25 |
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"num_key_value_heads": 4,
|
26 |
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"output_router_logits": false,
|
27 |
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"rms_norm_eps": 1e-06,
|
28 |
+
"rope_scaling": null,
|
29 |
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"rope_theta": 1000000.0,
|
30 |
+
"router_aux_loss_coef": 0.001,
|
31 |
+
"sliding_window": null,
|
32 |
+
"tie_word_embeddings": false,
|
33 |
+
"torch_dtype": "bfloat16",
|
34 |
+
"transformers_version": "4.52.0.dev0",
|
35 |
+
"use_cache": false,
|
36 |
+
"use_sliding_window": false,
|
37 |
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"vocab_size": 151936
|
38 |
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}
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generation_config.json
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{
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"bos_token_id": 151643,
|
3 |
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"eos_token_id": 151643,
|
4 |
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"max_new_tokens": 2048,
|
5 |
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"transformers_version": "4.52.0.dev0"
|
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00013.safetensors
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model-00002-of-00013.safetensors
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model-00003-of-00013.safetensors
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model-00004-of-00013.safetensors
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model-00005-of-00013.safetensors
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model-00006-of-00013.safetensors
ADDED
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"train_steps_per_second": 0.03
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,316 @@
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1 |
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trainer_state.json
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