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Model: jackf857/qwen3-8b-base-epsilon-dpo-hh-harmless-4xh200-batch-64
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---
library_name: transformers
tags:
- alignment-handbook
- epsilon-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: qwen3-8b-base-epsilon-dpo-hh-harmless-4xh200-batch-64-20260418-172841
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qwen3-8b-base-epsilon-dpo-hh-harmless-4xh200-batch-64-20260418-172841
This model is a fine-tuned version of `/scratch/qu.yang1/dynamic-dpo-v4/outputs/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452` on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5753
- Epsilon Dpo/beta: 0.0120
- Epsilon Dpo/loss Margin Mean: 30.1703
- Epsilon Dpo/beta Margin Mean: 0.3587
- Epsilon Dpo/beta Margin Std: 0.6142
- Epsilon Dpo/beta Margin Grad Mean: -0.4187
- Epsilon Dpo/beta Margin Grad Std: 0.1376
- Rewards/chosen: -0.5348
- Rewards/rejected: -0.8935
- Rewards/accuracies: 0.7236
- Rewards/margins: 0.3587
- Logps/chosen: -131.7627
- Logps/rejected: -178.7413
- Logps/ref Chosen: -87.4272
- Logps/ref Rejected: -104.2355
- Logits/chosen: -0.2089
- Logits/rejected: -0.3424
- Kl/p Epsilon Steps: 0.7170
- Kl/n Epsilon Steps: 0.2817
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Epsilon Dpo/beta | Epsilon Dpo/loss Margin Mean | Epsilon Dpo/beta Margin Mean | Epsilon Dpo/beta Margin Std | Epsilon Dpo/beta Margin Grad Mean | Epsilon Dpo/beta Margin Grad Std | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected | Kl/p Epsilon Steps | Kl/n Epsilon Steps |
|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
| 1.3499 | 0.1512 | 100 | 0.6692 | 0.0877 | 0.6693 | 0.0574 | 0.1823 | -0.4858 | 0.0449 | -0.0275 | -0.0849 | 0.6312 | 0.0574 | -87.7332 | -105.2108 | -87.4272 | -104.2355 | 0.1122 | 0.1240 | 0.6241 | 0.3759 |
| 1.1283 | 0.3023 | 200 | 0.6028 | 0.0636 | 4.8746 | 0.3057 | 0.6498 | -0.4313 | 0.1445 | -0.1604 | -0.4661 | 0.6831 | 0.3057 | -89.9090 | -111.5920 | -87.4272 | -104.2355 | -0.3390 | -0.3863 | 0.6734 | 0.3261 |
| 1.2376 | 0.4535 | 300 | 0.5699 | 0.0434 | 10.8082 | 0.4637 | 0.8475 | -0.4021 | 0.1759 | -0.4198 | -0.8835 | 0.7086 | 0.4637 | -97.0338 | -124.6503 | -87.4272 | -104.2355 | -0.3510 | -0.4271 | 0.6941 | 0.3050 |
| 1.2438 | 0.6047 | 400 | 0.5624 | 0.0290 | 16.4413 | 0.4712 | 0.8253 | -0.4003 | 0.1706 | -0.4065 | -0.8777 | 0.7179 | 0.4712 | -101.3740 | -134.6236 | -87.4272 | -104.2355 | -0.3535 | -0.4572 | 0.7064 | 0.2923 |
| 1.1147 | 0.7559 | 500 | 0.5588 | 0.0187 | 26.6232 | 0.4919 | 0.8457 | -0.3960 | 0.1755 | -0.8059 | -1.2978 | 0.7205 | 0.4919 | -130.4120 | -173.8436 | -87.4272 | -104.2355 | -0.1937 | -0.3318 | 0.7157 | 0.2843 |
| 1.1925 | 0.9070 | 600 | 0.5753 | 0.0120 | 30.1703 | 0.3587 | 0.6142 | -0.4187 | 0.1376 | -0.5348 | -0.8935 | 0.7236 | 0.3587 | -131.7627 | -178.7413 | -87.4272 | -104.2355 | -0.2089 | -0.3424 | 0.7170 | 0.2817 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4

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}

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special_tokens_map.json Normal file
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{
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
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"<|image_pad|>",
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],
"eos_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

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tokenizer.json (Stored with Git LFS) Normal file
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tokenizer_config.json Normal file
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{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
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"single_word": false,
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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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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first 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 {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"extra_special_tokens": {},
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"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

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{
"epoch": 0.999244142101285,
"total_flos": 0.0,
"train_loss": 1.1906072249390895,
"train_runtime": 2288.3837,
"train_samples": 42336,
"train_samples_per_second": 18.5,
"train_steps_per_second": 0.289
}

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vocab.json Normal file
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