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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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model-index: |
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- name: Mistral-7B-Instruct-v0.3-ORPO |
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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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# Mistral-7B-Instruct-v0.3-ORPO |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the dpo_mix_en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8734 |
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- Rewards/chosen: -0.0810 |
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- Rewards/rejected: -0.1017 |
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- Rewards/accuracies: 0.5720 |
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- Rewards/margins: 0.0208 |
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- Logps/rejected: -1.0175 |
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- Logps/chosen: -0.8098 |
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- Logits/rejected: -3.1455 |
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- Logits/chosen: -3.1171 |
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- Sft Loss: 0.8098 |
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- Odds Ratio Loss: 0.6360 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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_steps: 0.1 |
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- num_epochs: 3.0 |
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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 | Sft Loss | Odds Ratio Loss | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:| |
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| 0.9464 | 0.8891 | 500 | 0.8919 | -0.0828 | -0.1031 | 0.5690 | 0.0202 | -1.0306 | -0.8281 | -3.1432 | -3.1149 | 0.8281 | 0.6374 | |
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| 0.8737 | 1.7782 | 1000 | 0.8774 | -0.0814 | -0.1019 | 0.5760 | 0.0205 | -1.0186 | -0.8136 | -3.1431 | -3.1139 | 0.8136 | 0.6371 | |
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| 0.8923 | 2.6673 | 1500 | 0.8734 | -0.0810 | -0.1017 | 0.5720 | 0.0208 | -1.0175 | -0.8098 | -3.1455 | -3.1171 | 0.8098 | 0.6360 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
