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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: 1.1843 |
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- Rewards/chosen: -5.6098 |
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- Rewards/rejected: -5.9639 |
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- Rewards/accuracies: 0.5117 |
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- Rewards/margins: 0.3541 |
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- Logps/rejected: -1114.7808 |
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- Logps/chosen: -951.4574 |
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- Logits/rejected: -7.9900 |
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- Logits/chosen: -7.4446 |
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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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| 0.4015 | 0.26 | 100 | 0.9856 | -4.3603 | -4.6945 | 0.5273 | 0.3341 | -987.8358 | -826.5081 | -6.7933 | -6.4109 | |
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| 0.3649 | 0.53 | 200 | 1.1239 | -4.8760 | -5.1429 | 0.4883 | 0.2669 | -1032.6809 | -878.0756 | -7.6378 | -7.1525 | |
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| 0.3506 | 0.79 | 300 | 1.1843 | -5.6098 | -5.9639 | 0.5117 | 0.3541 | -1114.7808 | -951.4574 | -7.9900 | -7.4446 | |
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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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