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Model: laion/r2egym-unified-3160__Qwen3-8B Source: Original Platform
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.gitattributes
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61
README.md
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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/Qwen3-8B
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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: r2egym-3160__Qwen3-8B
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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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# r2egym-3160__Qwen3-8B
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/data1/datasets/playground/ot/hf_hub/datasets--laion--r2egym-unified-3160/snapshots/71ad17eb828b8f58fcd7ba2258c57cdc63ae6be5_thinking_preprocessed 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: 4e-05
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- train_batch_size: 1
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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: 32
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- gradient_accumulation_steps: 3
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- total_train_batch_size: 96
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- total_eval_batch_size: 256
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) 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: 7.0
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### Training results
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### Framework versions
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- Transformers 4.57.6
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- Pytorch 2.9.1+cu130
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- Datasets 4.7.0
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- Tokenizers 0.22.2
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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}
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all_results.json
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all_results.json
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{
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"achieved_tflops_per_gpu": 7766.913877246097,
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"achieved_tflops_per_gpu_theoretical": 653631.8152100366,
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"epoch": 7.0,
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"loss_nan_ranks": 0,
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"loss_rank_avg": 0.028483854606747627,
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"mfu_percent": 548.8985072258725,
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"mfu_percent_theoretical": 46193.06114558562,
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"total_flos": 2.9757843152725606e+17,
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"train_loss": 0.0,
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"train_runtime": 1.1973,
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"train_samples_per_second": 18474.619,
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"train_steps_per_second": 192.931,
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"valid_targets_mean": 4153.2,
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"valid_targets_min": 1786
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}
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89
chat_template.jinja
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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 message.content is string 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.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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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' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.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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{{- 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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68
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
|
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"layer_types": [
|
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
|
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"pad_token_id": 151643,
|
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
|
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"tie_word_embeddings": false,
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"transformers_version": "4.57.6",
|
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": [
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
|
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "4.57.6"
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}
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151388
merges.txt
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151388
merges.txt
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12
run_summary.json
Normal file
12
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Normal file
@@ -0,0 +1,12 @@
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
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{
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"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
12
train_results.json
Normal file
12
train_results.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"achieved_tflops_per_gpu": 7766.913877246097,
|
||||
"achieved_tflops_per_gpu_theoretical": 653631.8152100366,
|
||||
"epoch": 7.0,
|
||||
"mfu_percent": 548.8985072258725,
|
||||
"mfu_percent_theoretical": 46193.06114558562,
|
||||
"total_flos": 2.9757843152725606e+17,
|
||||
"train_loss": 0.0,
|
||||
"train_runtime": 1.1973,
|
||||
"train_samples_per_second": 18474.619,
|
||||
"train_steps_per_second": 192.931
|
||||
}
|
||||
52
trainer_log.jsonl
Normal file
52
trainer_log.jsonl
Normal file
@@ -0,0 +1,52 @@
|
||||
{"current_steps": 5, "total_steps": 231, "loss": 0.3733, "lr": 6.666666666666667e-06, "epoch": 0.15151515151515152, "percentage": 2.16, "elapsed_time": "0:01:07", "remaining_time": "0:51:08"}
|
||||
{"current_steps": 10, "total_steps": 231, "loss": 0.312, "lr": 1.5000000000000002e-05, "epoch": 0.30303030303030304, "percentage": 4.33, "elapsed_time": "0:02:11", "remaining_time": "0:48:35"}
|
||||
{"current_steps": 15, "total_steps": 231, "loss": 0.2681, "lr": 2.3333333333333336e-05, "epoch": 0.45454545454545453, "percentage": 6.49, "elapsed_time": "0:03:13", "remaining_time": "0:46:28"}
|
||||
{"current_steps": 20, "total_steps": 231, "loss": 0.2136, "lr": 3.1666666666666666e-05, "epoch": 0.6060606060606061, "percentage": 8.66, "elapsed_time": "0:04:12", "remaining_time": "0:44:27"}
|
||||
{"current_steps": 25, "total_steps": 231, "loss": 0.1873, "lr": 4e-05, "epoch": 0.7575757575757576, "percentage": 10.82, "elapsed_time": "0:05:12", "remaining_time": "0:42:51"}
|
||||
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|
||||
{"current_steps": 35, "total_steps": 231, "loss": 0.154, "lr": 3.977010724441261e-05, "epoch": 1.0606060606060606, "percentage": 15.15, "elapsed_time": "0:07:12", "remaining_time": "0:40:23"}
|
||||
{"current_steps": 40, "total_steps": 231, "loss": 0.1478, "lr": 3.9483981653469586e-05, "epoch": 1.2121212121212122, "percentage": 17.32, "elapsed_time": "0:08:10", "remaining_time": "0:39:03"}
|
||||
{"current_steps": 45, "total_steps": 231, "loss": 0.1413, "lr": 3.908571404555758e-05, "epoch": 1.3636363636363638, "percentage": 19.48, "elapsed_time": "0:09:15", "remaining_time": "0:38:16"}
|
||||
{"current_steps": 50, "total_steps": 231, "loss": 0.1279, "lr": 3.8577596689969346e-05, "epoch": 1.5151515151515151, "percentage": 21.65, "elapsed_time": "0:10:18", "remaining_time": "0:37:19"}
|
||||
{"current_steps": 55, "total_steps": 231, "loss": 0.1353, "lr": 3.7962554107273926e-05, "epoch": 1.6666666666666665, "percentage": 23.81, "elapsed_time": "0:11:18", "remaining_time": "0:36:11"}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{"current_steps": 105, "total_steps": 231, "loss": 0.0913, "lr": 2.6982819596247373e-05, "epoch": 3.1818181818181817, "percentage": 45.45, "elapsed_time": "0:21:31", "remaining_time": "0:25:49"}
|
||||
{"current_steps": 110, "total_steps": 231, "loss": 0.0977, "lr": 2.554191846333378e-05, "epoch": 3.3333333333333335, "percentage": 47.62, "elapsed_time": "0:22:31", "remaining_time": "0:24:47"}
|
||||
{"current_steps": 115, "total_steps": 231, "loss": 0.0944, "lr": 2.4069120261052682e-05, "epoch": 3.484848484848485, "percentage": 49.78, "elapsed_time": "0:23:29", "remaining_time": "0:23:41"}
|
||||
{"current_steps": 120, "total_steps": 231, "loss": 0.0941, "lr": 2.2572901827656626e-05, "epoch": 3.6363636363636362, "percentage": 51.95, "elapsed_time": "0:24:28", "remaining_time": "0:22:38"}
|
||||
{"current_steps": 125, "total_steps": 231, "loss": 0.0887, "lr": 2.1061874798894992e-05, "epoch": 3.787878787878788, "percentage": 54.11, "elapsed_time": "0:25:31", "remaining_time": "0:21:38"}
|
||||
{"current_steps": 130, "total_steps": 231, "loss": 0.0949, "lr": 1.9544736042877886e-05, "epoch": 3.9393939393939394, "percentage": 56.28, "elapsed_time": "0:26:21", "remaining_time": "0:20:28"}
|
||||
{"current_steps": 135, "total_steps": 231, "loss": 0.0865, "lr": 1.8030217604376628e-05, "epoch": 4.090909090909091, "percentage": 58.44, "elapsed_time": "0:27:22", "remaining_time": "0:19:28"}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{"current_steps": 165, "total_steps": 231, "loss": 0.0866, "lr": 9.478948117658577e-06, "epoch": 5.0, "percentage": 71.43, "elapsed_time": "0:33:18", "remaining_time": "0:13:19"}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{"current_steps": 200, "total_steps": 231, "loss": 0.0761, "lr": 2.312629276668554e-06, "epoch": 6.0606060606060606, "percentage": 86.58, "elapsed_time": "0:40:09", "remaining_time": "0:06:13"}
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1
vocab.json
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1
vocab.json
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Reference in New Issue
Block a user