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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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- generated_from_trainer |
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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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model-index: |
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- name: openhermes-mistral-dpo-gptq |
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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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# openhermes-mistral-dpo-gptq |
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This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6173 |
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- Rewards/chosen: 12.3662 |
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- Rewards/rejected: 8.3268 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 4.0394 |
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- Logps/rejected: -284.7693 |
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- Logps/chosen: -270.0549 |
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- Logits/rejected: -2.4409 |
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- Logits/chosen: -2.6955 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 50 |
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- mixed_precision_training: Native AMP |
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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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| 0.6874 | 0.01 | 10 | 0.6396 | 0.0822 | -0.0086 | 0.5625 | 0.0908 | -368.1237 | -392.8953 | -2.2951 | -2.4730 | |
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| 0.7988 | 0.01 | 20 | 0.5694 | 1.1019 | 0.5787 | 0.875 | 0.5232 | -362.2504 | -382.6982 | -2.2767 | -2.5084 | |
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| 0.6368 | 0.01 | 30 | 0.5572 | 11.3452 | 7.2855 | 0.875 | 4.0597 | -295.1821 | -280.2652 | -2.4358 | -2.6872 | |
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| 1.6793 | 0.02 | 40 | 0.5216 | 11.9759 | 7.8540 | 0.9375 | 4.1220 | -289.4976 | -273.9581 | -2.4389 | -2.6947 | |
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| 4.9001 | 0.03 | 50 | 0.6173 | 12.3662 | 8.3268 | 0.875 | 4.0394 | -284.7693 | -270.0549 | -2.4409 | -2.6955 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
