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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: 0.4618 |
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- Rewards/chosen: -0.7871 |
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- Rewards/rejected: -6.6095 |
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- Rewards/accuracies: 0.9375 |
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- Rewards/margins: 5.8223 |
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- Logps/rejected: -220.7533 |
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- Logps/chosen: -104.2417 |
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- Logits/rejected: -1.9929 |
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- Logits/chosen: -2.4654 |
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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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| 0.5633 | 0.0 | 10 | 0.5184 | 0.0815 | -0.3179 | 1.0 | 0.3995 | -157.8381 | -95.5550 | -2.1002 | -2.5591 | |
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| 0.3936 | 0.0 | 20 | 0.2875 | 0.2689 | -1.1716 | 1.0 | 1.4404 | -166.3746 | -93.6817 | -2.0675 | -2.5604 | |
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| 0.2132 | 0.0 | 30 | 0.2000 | 0.0966 | -2.8012 | 0.9375 | 2.8977 | -182.6702 | -95.4047 | -2.0286 | -2.5520 | |
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| 0.034 | 0.0 | 40 | 0.4078 | -0.5324 | -5.2327 | 0.9375 | 4.7003 | -206.9856 | -101.6947 | -2.0143 | -2.4945 | |
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| 0.0665 | 0.0 | 50 | 0.4618 | -0.7871 | -6.6095 | 0.9375 | 5.8223 | -220.7533 | -104.2417 | -1.9929 | -2.4654 | |
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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 |
