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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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- 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: 3.2500 |
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- Rewards/chosen: -1.0975 |
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- Rewards/rejected: -1.6306 |
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- Rewards/accuracies: 0.625 |
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- Rewards/margins: 0.5331 |
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- Logps/rejected: -307.3866 |
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- Logps/chosen: -331.8629 |
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- Logits/rejected: -2.4077 |
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- Logits/chosen: -2.3038 |
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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: 300 |
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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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| 4.2921 | 0.03 | 50 | 9.8028 | -5.3862 | 0.1060 | 0.1875 | -5.4922 | -290.0201 | -374.7499 | -2.2861 | -2.1795 | |
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| 9.75 | 0.05 | 100 | 8.8191 | -12.7493 | -8.6505 | 0.3125 | -4.0989 | -377.5849 | -448.3811 | -2.2836 | -2.2309 | |
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| 3.2104 | 0.07 | 150 | 0.8915 | -3.5710 | -6.0350 | 0.375 | 2.4640 | -351.4305 | -356.5982 | -2.6543 | -2.5955 | |
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| 2.655 | 0.1 | 200 | 0.3207 | -1.0209 | -4.6027 | 0.6875 | 3.5818 | -337.1074 | -331.0971 | -2.4341 | -2.3534 | |
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| 4.8481 | 0.12 | 250 | 1.1311 | -0.8147 | -2.3072 | 0.625 | 1.4926 | -314.1525 | -329.0346 | -2.3257 | -2.2374 | |
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| 3.1598 | 0.15 | 300 | 3.2500 | -1.0975 | -1.6306 | 0.625 | 0.5331 | -307.3866 | -331.8629 | -2.4077 | -2.3038 | |
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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 2.15.0 |
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- Tokenizers 0.15.0 |
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