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--- |
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license: apache-2.0 |
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base_model: teknium/OpenHermes-2.5-Mistral-7B |
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tags: |
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- generated_from_trainer |
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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 [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5200 |
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- Rewards/chosen: 0.4462 |
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- Rewards/rejected: -0.0495 |
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- Rewards/accuracies: 0.6875 |
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- Rewards/margins: 0.4958 |
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- Logps/rejected: -235.5496 |
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- Logps/chosen: -196.8896 |
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- Logits/rejected: -3.1546 |
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- Logits/chosen: -3.2002 |
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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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### 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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| 0.701 | 0.01 | 10 | 0.6011 | 0.2373 | 0.0723 | 0.375 | 0.1650 | -234.3308 | -198.9786 | -3.1345 | -3.1669 | |
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| 0.6827 | 0.01 | 20 | 0.5701 | 0.3490 | -0.0051 | 0.6875 | 0.3541 | -235.1054 | -197.8619 | -3.1513 | -3.1894 | |
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| 0.7041 | 0.01 | 30 | 0.5571 | 0.3683 | -0.0432 | 0.6875 | 0.4115 | -235.4866 | -197.6691 | -3.1811 | -3.2466 | |
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| 0.7273 | 0.02 | 40 | 0.5295 | 0.4324 | -0.0346 | 0.6875 | 0.4671 | -235.4007 | -197.0275 | -3.1709 | -3.2343 | |
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| 0.6139 | 0.03 | 50 | 0.5200 | 0.4462 | -0.0495 | 0.6875 | 0.4958 | -235.5496 | -196.8896 | -3.1546 | -3.2002 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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