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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: 1.5203 |
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- Rewards/chosen: 4.8953 |
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- Rewards/rejected: -6.8710 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 11.7663 |
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- Logps/rejected: -512.2221 |
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- Logps/chosen: -446.3599 |
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- Logits/rejected: -2.4853 |
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- Logits/chosen: -2.3998 |
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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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| 0.6384 | 0.025 | 10 | 0.9029 | 0.3196 | -0.5976 | 0.8125 | 0.9171 | -449.4874 | -492.1170 | -2.5249 | -2.3642 | |
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| 0.0586 | 0.05 | 20 | 1.6495 | 2.8410 | -4.2864 | 0.8125 | 7.1274 | -486.3763 | -466.9029 | -2.5061 | -2.3959 | |
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| 0.0116 | 0.075 | 30 | 1.5584 | 4.2892 | -6.0162 | 0.8125 | 10.3053 | -503.6734 | -452.4211 | -2.4984 | -2.4059 | |
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| 1.7733 | 0.1 | 40 | 1.5091 | 4.7449 | -6.6237 | 0.8125 | 11.3687 | -509.7491 | -447.8633 | -2.4894 | -2.4020 | |
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| 0.0 | 0.125 | 50 | 1.5203 | 4.8953 | -6.8710 | 0.875 | 11.7663 | -512.2221 | -446.3599 | -2.4853 | -2.3998 | |
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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 2.19.1 |
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- Tokenizers 0.19.1 |
