50096c13b8
Model: jackf857/qwen3-8b-base-new-dpo-hh-harmless-4xh200-batch-64-q_t-0.45-s_star-0.85 Source: Original Platform
83 lines
3.7 KiB
Markdown
83 lines
3.7 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452
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tags:
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- alignment-handbook
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- new-dpo
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- generated_from_trainer
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datasets:
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- Anthropic/hh-rlhf
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model-index:
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- name: qwen3-8b-base-new-dpo-hh-harmless-4xh200-batch-64-q_t-0.45-s_star-0.85
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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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# qwen3-8b-base-new-dpo-hh-harmless-4xh200-batch-64-q_t-0.45-s_star-0.85
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This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452](https://huggingface.co/jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5468
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- Fcm Dpo/beta: 0.5703
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- Margin Dpo/margin Mean: 1.5468
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- Margin Dpo/margin Std: 2.5975
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- Logps/chosen: -82.0159
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- Logps/rejected: -93.3573
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- Logps/ref Chosen: -86.9018
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- Logps/ref Rejected: -96.6964
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- Logits/chosen: 1.7134
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- Logits/rejected: 1.6065
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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: 5e-07
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- train_batch_size: 8
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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: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 1.325 | 0.1512 | 100 | 0.6541 | 0.1000 | 0.9036 | 1.9803 | -86.1995 | -96.8977 | -86.9018 | -96.6964 | 1.6835 | 1.5698 |
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| 1.1881 | 0.3023 | 200 | 0.5625 | 0.6970 | 1.2537 | 2.2271 | -78.6161 | -89.6644 | -86.9018 | -96.6964 | 1.8627 | 1.7409 |
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| 1.1394 | 0.4535 | 300 | 0.5554 | 0.6672 | 1.1965 | 2.1012 | -79.8050 | -90.7961 | -86.9018 | -96.6964 | 1.8760 | 1.7587 |
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| 1.1945 | 0.6047 | 400 | 0.5504 | 0.6382 | 1.3377 | 2.2885 | -81.0971 | -92.2295 | -86.9018 | -96.6964 | 1.9273 | 1.8112 |
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| 1.0818 | 0.7559 | 500 | 0.5445 | 0.5119 | 1.5736 | 2.6447 | -81.9627 | -93.3309 | -86.9018 | -96.6964 | 1.8607 | 1.7468 |
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| 1.1017 | 0.9070 | 600 | 0.5468 | 0.5703 | 1.5468 | 2.5975 | -82.0159 | -93.3573 | -86.9018 | -96.6964 | 1.7134 | 1.6065 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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