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--- |
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license: apache-2.0 |
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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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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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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: 0.6796 |
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- Rewards/chosen: 0.0825 |
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- Rewards/rejected: 0.0991 |
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- Rewards/accuracies: 0.375 |
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- Rewards/margins: -0.0166 |
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- Logps/rejected: -111.4488 |
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- Logps/chosen: -104.0037 |
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- Logits/rejected: -1.8100 |
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- Logits/chosen: -1.8966 |
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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: 40 |
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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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| 0.6782 | 0.01 | 10 | 0.6854 | 0.0505 | 0.0332 | 0.5625 | 0.0173 | -112.1082 | -104.3235 | -1.7988 | -1.8929 | |
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| 0.7064 | 0.01 | 20 | 0.6812 | 0.0509 | 0.0279 | 0.8125 | 0.0230 | -112.1610 | -104.3192 | -1.8032 | -1.8968 | |
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| 0.7024 | 0.01 | 30 | 0.6820 | 0.0697 | 0.0728 | 0.375 | -0.0031 | -111.7118 | -104.1311 | -1.8068 | -1.8953 | |
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| 0.6946 | 0.02 | 40 | 0.6796 | 0.0825 | 0.0991 | 0.375 | -0.0166 | -111.4488 | -104.0037 | -1.8100 | -1.8966 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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