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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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- trl |
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- dpo |
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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: 0.0323 |
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- Rewards/chosen: -1.0831 |
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- Rewards/rejected: -9.5400 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 8.4569 |
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- Logps/rejected: -319.0484 |
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- Logps/chosen: -82.1537 |
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- Logits/rejected: -2.6023 |
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- Logits/chosen: -2.2419 |
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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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| 0.556 | 0.0 | 10 | 0.4270 | 0.0181 | -0.6933 | 1.0 | 0.7114 | -230.5818 | -71.1419 | -2.6557 | -2.3264 | |
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| 0.3645 | 0.0 | 20 | 0.1583 | 0.1759 | -2.5866 | 1.0 | 2.7625 | -249.5149 | -69.5636 | -2.6400 | -2.3441 | |
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| 0.2037 | 0.0 | 30 | 0.0681 | 0.0985 | -5.0474 | 1.0 | 5.1459 | -274.1230 | -70.3379 | -2.6245 | -2.3228 | |
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| 0.0315 | 0.0 | 40 | 0.0431 | -0.9146 | -8.5841 | 1.0 | 7.6695 | -309.4896 | -80.4684 | -2.6094 | -2.3791 | |
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| 0.0655 | 0.0 | 50 | 0.0323 | -1.0831 | -9.5400 | 1.0 | 8.4569 | -319.0484 | -82.1537 | -2.6023 | -2.2419 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
