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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: 0.7067 |
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- Rewards/chosen: 0.0088 |
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- Rewards/rejected: -0.0947 |
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- Rewards/accuracies: 0.625 |
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- Rewards/margins: 0.1035 |
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- Logps/rejected: -172.7847 |
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- Logps/chosen: -98.3108 |
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- Logits/rejected: -2.0623 |
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- Logits/chosen: -1.9279 |
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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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| 0.6744 | 0.005 | 10 | 0.6970 | -0.0186 | -0.0266 | 0.6875 | 0.0080 | -172.1035 | -98.5849 | -2.0765 | -1.9425 | |
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| 0.7073 | 0.01 | 20 | 0.7152 | -0.0388 | -0.0448 | 0.4375 | 0.0060 | -172.2850 | -98.7869 | -2.0706 | -1.9392 | |
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| 0.7287 | 0.015 | 30 | 0.7197 | 0.0026 | -0.0203 | 0.625 | 0.0230 | -172.0406 | -98.3726 | -2.0688 | -1.9317 | |
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| 0.701 | 0.02 | 40 | 0.7120 | 0.0131 | -0.0600 | 0.625 | 0.0731 | -172.4374 | -98.2679 | -2.0641 | -1.9302 | |
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| 0.6726 | 0.025 | 50 | 0.7067 | 0.0088 | -0.0947 | 0.625 | 0.1035 | -172.7847 | -98.3108 | -2.0623 | -1.9279 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
