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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: 0.2511 |
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- Rewards/chosen: 14.1512 |
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- Rewards/rejected: -27.0299 |
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- Rewards/accuracies: 0.9297 |
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- Rewards/margins: 41.1811 |
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- Logps/rejected: -120.2706 |
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- Logps/chosen: -123.6211 |
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- Logits/rejected: -1.8742 |
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- Logits/chosen: -1.8698 |
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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 | 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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| 0.1812 | 0.21 | 100 | 0.1474 | 12.7707 | -20.3277 | 0.9180 | 33.0984 | -113.5685 | -125.0015 | -1.7088 | -1.7301 | |
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| 0.2958 | 0.42 | 200 | 0.2224 | 15.4746 | -23.1680 | 0.9258 | 38.6426 | -116.4087 | -122.2977 | -1.8350 | -1.8384 | |
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| 0.3034 | 0.63 | 300 | 0.2672 | 14.1732 | -27.0300 | 0.9258 | 41.2032 | -120.2707 | -123.5991 | -1.8525 | -1.8496 | |
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| 0.3576 | 0.84 | 400 | 0.2511 | 14.1512 | -27.0299 | 0.9297 | 41.1811 | -120.2706 | -123.6211 | -1.8742 | -1.8698 | |
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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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