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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: 1.9448 |
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- Rewards/chosen: 0.2004 |
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- Rewards/rejected: 1.1728 |
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- Rewards/accuracies: 0.3984 |
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- Rewards/margins: -0.9724 |
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- Logps/rejected: -516.0420 |
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- Logps/chosen: -390.0737 |
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- Logits/rejected: -4.6999 |
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- Logits/chosen: -4.4838 |
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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: 1e-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 | 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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| 0.1833 | 0.26 | 100 | 1.8369 | 0.4269 | 1.4521 | 0.375 | -1.0251 | -515.4835 | -389.6206 | -4.7248 | -4.5091 | |
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| 0.1786 | 0.51 | 200 | 2.0163 | 0.6049 | 1.7456 | 0.375 | -1.1407 | -514.8965 | -389.2646 | -4.6879 | -4.4698 | |
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| 0.1648 | 0.77 | 300 | 1.9448 | 0.2004 | 1.1728 | 0.3984 | -0.9724 | -516.0420 | -390.0737 | -4.6999 | -4.4838 | |
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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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