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Model: varshak1/open_reward_agent_sft_lf Source: Original Platform
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vendored
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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: open_reward_agent_sft_lf
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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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# open_reward_agent_sft_lf
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the open_reward_agent_sft_lf 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: 8e-06
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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: 8
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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_steps: 0.05
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 5.2.0
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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8
all_results.json
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 2.640143661303595e+18,
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"train_loss": 0.9932206619076612,
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"train_runtime": 1797.9362,
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"train_samples_per_second": 7.286,
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"train_steps_per_second": 0.114
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}
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89
chat_template.jinja
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89
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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71
config.json
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71
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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"bos_token_id": null,
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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",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"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,
|
||||
"rms_norm_eps": 1e-06,
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||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
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||||
},
|
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"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.2.0",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
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"vocab_size": 151936
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}
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12
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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151645,
|
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151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
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"top_p": 0.95,
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"transformers_version": "5.2.0"
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}
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3
model.safetensors
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model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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||||
oid sha256:6627998b45798f599014942c9bf5bf8977efdc0468ef27b94fe3597f50625f1f
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size 16381517208
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3
tokenizer.json
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3
tokenizer.json
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@@ -0,0 +1,3 @@
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||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
||||
size 11422650
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||||
30
tokenizer_config.json
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30
tokenizer_config.json
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{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
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||||
8
train_results.json
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8
train_results.json
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||||
{
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||||
"epoch": 1.0,
|
||||
"total_flos": 2.640143661303595e+18,
|
||||
"train_loss": 0.9932206619076612,
|
||||
"train_runtime": 1797.9362,
|
||||
"train_samples_per_second": 7.286,
|
||||
"train_steps_per_second": 0.114
|
||||
}
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||||
21
trainer_log.jsonl
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21
trainer_log.jsonl
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@@ -0,0 +1,21 @@
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{"current_steps": 10, "total_steps": 205, "loss": 1.6103919982910155, "lr": 6.545454545454546e-06, "epoch": 0.04884004884004884, "percentage": 4.88, "elapsed_time": "0:01:30", "remaining_time": "0:29:33"}
|
||||
{"current_steps": 20, "total_steps": 205, "loss": 1.1710912704467773, "lr": 7.9664804049057e-06, "epoch": 0.09768009768009768, "percentage": 9.76, "elapsed_time": "0:02:55", "remaining_time": "0:27:04"}
|
||||
{"current_steps": 30, "total_steps": 205, "loss": 1.0446645736694335, "lr": 7.831269296751948e-06, "epoch": 0.14652014652014653, "percentage": 14.63, "elapsed_time": "0:04:19", "remaining_time": "0:25:14"}
|
||||
{"current_steps": 40, "total_steps": 205, "loss": 0.9899624824523926, "lr": 7.595806964341581e-06, "epoch": 0.19536019536019536, "percentage": 19.51, "elapsed_time": "0:05:44", "remaining_time": "0:23:39"}
|
||||
{"current_steps": 50, "total_steps": 205, "loss": 0.9951982498168945, "lr": 7.266254652228843e-06, "epoch": 0.2442002442002442, "percentage": 24.39, "elapsed_time": "0:07:11", "remaining_time": "0:22:17"}
|
||||
{"current_steps": 60, "total_steps": 205, "loss": 0.9782312393188477, "lr": 6.851235618187317e-06, "epoch": 0.29304029304029305, "percentage": 29.27, "elapsed_time": "0:08:34", "remaining_time": "0:20:42"}
|
||||
{"current_steps": 70, "total_steps": 205, "loss": 0.9667717933654785, "lr": 6.36160949202369e-06, "epoch": 0.3418803418803419, "percentage": 34.15, "elapsed_time": "0:09:58", "remaining_time": "0:19:13"}
|
||||
{"current_steps": 80, "total_steps": 205, "loss": 0.9572884559631347, "lr": 5.810188116178156e-06, "epoch": 0.3907203907203907, "percentage": 39.02, "elapsed_time": "0:11:20", "remaining_time": "0:17:43"}
|
||||
{"current_steps": 90, "total_steps": 205, "loss": 0.9558270454406739, "lr": 5.211400303591802e-06, "epoch": 0.43956043956043955, "percentage": 43.9, "elapsed_time": "0:12:45", "remaining_time": "0:16:17"}
|
||||
{"current_steps": 100, "total_steps": 205, "loss": 0.9527605056762696, "lr": 4.580914284981961e-06, "epoch": 0.4884004884004884, "percentage": 48.78, "elapsed_time": "0:14:08", "remaining_time": "0:14:51"}
|
||||
{"current_steps": 110, "total_steps": 205, "loss": 0.9419396400451661, "lr": 3.935227724789994e-06, "epoch": 0.5372405372405372, "percentage": 53.66, "elapsed_time": "0:15:33", "remaining_time": "0:13:26"}
|
||||
{"current_steps": 120, "total_steps": 205, "loss": 0.9319709777832031, "lr": 3.2912360336831093e-06, "epoch": 0.5860805860805861, "percentage": 58.54, "elapsed_time": "0:16:57", "remaining_time": "0:12:00"}
|
||||
{"current_steps": 130, "total_steps": 205, "loss": 0.9522204399108887, "lr": 2.665790273396718e-06, "epoch": 0.6349206349206349, "percentage": 63.41, "elapsed_time": "0:18:20", "remaining_time": "0:10:34"}
|
||||
{"current_steps": 140, "total_steps": 205, "loss": 0.9412946701049805, "lr": 2.0752562220367795e-06, "epoch": 0.6837606837606838, "percentage": 68.29, "elapsed_time": "0:19:47", "remaining_time": "0:09:11"}
|
||||
{"current_steps": 150, "total_steps": 205, "loss": 0.9191699981689453, "lr": 1.5350861375962904e-06, "epoch": 0.7326007326007326, "percentage": 73.17, "elapsed_time": "0:21:11", "remaining_time": "0:07:46"}
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Reference in New Issue
Block a user