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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: 1.9828 |
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- Rewards/chosen: -3.4223 |
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- Rewards/rejected: -2.1126 |
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- Rewards/accuracies: 0.3555 |
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- Rewards/margins: -1.3097 |
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- Logps/rejected: -521.2875 |
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- Logps/chosen: -405.8879 |
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- Logits/rejected: -4.9364 |
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- Logits/chosen: -4.7068 |
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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-08 |
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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 | 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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| 0.3652 | 0.29 | 100 | 1.7488 | -2.2159 | -1.0097 | 0.3516 | -1.2062 | -519.0817 | -403.4752 | -4.9249 | -4.6962 | |
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| 0.312 | 0.57 | 200 | 1.9596 | -3.1949 | -1.8164 | 0.3398 | -1.3786 | -520.6950 | -405.4332 | -4.9391 | -4.7096 | |
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| 0.2993 | 0.86 | 300 | 1.9828 | -3.4223 | -2.1126 | 0.3555 | -1.3097 | -521.2875 | -405.8879 | -4.9364 | -4.7068 | |
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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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