| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - dpo |
| - generated_from_trainer |
| base_model: cognitivecomputations/dolphin-2.1-mistral-7b |
| model-index: |
| - name: doplhin-dpo-1-epoch |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # doplhin-dpo-1-epoch |
|
|
| This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6046 |
| - Rewards/chosen: -6.6173 |
| - Rewards/rejected: -10.5237 |
| - Rewards/accuracies: 0.7880 |
| - Rewards/margins: 3.9064 |
| - Logps/rejected: -431.3049 |
| - Logps/chosen: -422.0936 |
| - Logits/rejected: -2.5993 |
| - Logits/chosen: -2.6739 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 0.9 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.5544 | 0.62 | 700 | 0.6046 | -6.6173 | -10.5237 | 0.7880 | 3.9064 | -431.3049 | -422.0936 | -2.5993 | -2.6739 | |
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| ### Framework versions |
|
|
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.2 |
