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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: 0.0082 |
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- Rewards/chosen: -0.7999 |
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- Rewards/rejected: -11.8804 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 11.0804 |
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- Logps/rejected: -383.9451 |
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- Logps/chosen: -160.8140 |
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- Logits/rejected: -2.4692 |
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- Logits/chosen: -2.6059 |
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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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| 0.5652 | 0.0 | 10 | 0.4581 | 0.1358 | -0.6615 | 1.0 | 0.7973 | -271.7569 | -151.4569 | -2.4902 | -2.7008 | |
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| 0.3737 | 0.0 | 20 | 0.1877 | 0.0778 | -2.8831 | 1.0 | 2.9609 | -293.9724 | -152.0366 | -2.4897 | -2.6893 | |
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| 0.2022 | 0.0 | 30 | 0.0621 | -0.1154 | -6.0503 | 1.0 | 5.9349 | -325.6448 | -153.9687 | -2.4890 | -2.6603 | |
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| 0.0284 | 0.0 | 40 | 0.0155 | -0.5833 | -10.1231 | 1.0 | 9.5397 | -366.3722 | -158.6483 | -2.4792 | -2.6266 | |
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| 0.0593 | 0.0 | 50 | 0.0082 | -0.7999 | -11.8804 | 1.0 | 11.0804 | -383.9451 | -160.8140 | -2.4692 | -2.6059 | |
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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 |
