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--- |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full |
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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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# zephyr-7b-dpo-full |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0427 |
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- Rewards/chosen: -1.1712 |
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- Rewards/rejected: -2.0556 |
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- Rewards/accuracies: 0.7266 |
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- Rewards/margins: 0.8844 |
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- Logps/rejected: -517.1834 |
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- Logps/chosen: -420.7032 |
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- Logits/rejected: -0.0713 |
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- Logits/chosen: -0.0801 |
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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: 3e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 2 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.0642 | 0.21 | 100 | 0.0487 | -1.3984 | -2.4508 | 0.7188 | 1.0524 | -556.7064 | -443.4212 | 0.4579 | 0.4301 | |
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| 0.047 | 0.42 | 200 | 0.0461 | -1.1146 | -1.8461 | 0.7422 | 0.7314 | -496.2327 | -415.0494 | 0.1274 | 0.1123 | |
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| 0.0401 | 0.63 | 300 | 0.0408 | -1.2816 | -2.1650 | 0.7148 | 0.8834 | -528.1252 | -431.7439 | -0.1765 | -0.1928 | |
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| 0.0435 | 0.84 | 400 | 0.0427 | -1.1712 | -2.0556 | 0.7266 | 0.8844 | -517.1834 | -420.7032 | -0.0713 | -0.0801 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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