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--- |
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tags: |
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- trl |
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- dpo |
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- alignment-handbook |
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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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- Logits/chosen: -0.9126 |
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- Logits/rejected: -0.7601 |
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- Logps/chosen: -361.4586 |
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- Logps/rejected: -470.9522 |
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- Loss: 0.4905 |
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- Rewards/accuracies: 0.7539 |
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- Rewards/chosen: -0.7983 |
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- Rewards/margins: 1.0337 |
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- Rewards/rejected: -1.8319 |
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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: 8 |
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- gradient_accumulation_steps: 2 |
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.5759 | 0.21 | 100 | -1.9151 | -1.8988 | -335.8161 | -395.6910 | 0.5723 | 0.7148 | -0.5418 | 0.5375 | -1.0793 | |
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| 0.5391 | 0.42 | 200 | -1.6570 | -1.5774 | -321.1682 | -405.0056 | 0.5138 | 0.7461 | -0.3953 | 0.7771 | -1.1724 | |
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| 0.4788 | 0.63 | 300 | -0.9864 | -0.8826 | -367.7277 | -475.5532 | 0.4939 | 0.7578 | -0.8609 | 1.0170 | -1.8779 | |
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| 0.4937 | 0.84 | 400 | -0.9126 | -0.7601 | -361.4586 | -470.9522 | 0.4905 | 0.7539 | -0.7983 | 1.0337 | -1.8319 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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