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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: 0.5481 |
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- Rewards/chosen: -6.3042 |
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- Rewards/rejected: -6.6831 |
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- Rewards/accuracies: 0.3125 |
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- Rewards/margins: 0.3789 |
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- Logps/rejected: -270.7899 |
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- Logps/chosen: -222.5794 |
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- Logits/rejected: -2.0400 |
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- Logits/chosen: -2.0341 |
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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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| 0.6859 | 0.01 | 10 | 0.6666 | 0.0119 | -0.0301 | 0.5 | 0.0419 | -204.2597 | -159.4191 | -2.1849 | -2.1781 | |
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| 0.683 | 0.01 | 20 | 0.6372 | 0.0384 | -0.0380 | 0.3125 | 0.0763 | -204.3386 | -159.1542 | -2.1870 | -2.1765 | |
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| 0.7067 | 0.01 | 30 | 0.6194 | 0.0592 | -0.0362 | 0.3125 | 0.0954 | -204.3213 | -158.9460 | -2.1880 | -2.1773 | |
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| 0.6664 | 0.02 | 40 | 0.6159 | 0.0599 | -0.0264 | 0.3125 | 0.0862 | -204.2225 | -158.9388 | -2.1856 | -2.1759 | |
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| 0.786 | 0.03 | 50 | 0.5481 | -6.3042 | -6.6831 | 0.3125 | 0.3789 | -270.7899 | -222.5794 | -2.0400 | -2.0341 | |
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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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