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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: 10.4812 |
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- Rewards/chosen: -34.3483 |
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- Rewards/rejected: -10.5927 |
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- Rewards/accuracies: 0.4375 |
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- Rewards/margins: -23.7556 |
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- Logps/rejected: -369.0945 |
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- Logps/chosen: -652.6519 |
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- Logits/rejected: -1.9434 |
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- Logits/chosen: -2.1850 |
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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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### 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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| 0.785 | 0.01 | 10 | 0.6767 | 0.0342 | 0.0037 | 0.5625 | 0.0305 | -263.1300 | -308.8264 | -2.4042 | -2.7773 | |
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| 0.988 | 0.01 | 20 | 0.6634 | 0.1443 | -0.0047 | 0.75 | 0.1490 | -263.2147 | -307.7260 | -2.4189 | -2.7870 | |
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| 0.9481 | 0.01 | 30 | 10.5125 | -35.0203 | -10.9252 | 0.4375 | -24.0951 | -372.4191 | -659.3712 | -1.9468 | -2.1781 | |
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| 10.47 | 0.02 | 40 | 17.8422 | -55.0969 | -26.2159 | 0.375 | -28.8810 | -525.3258 | -860.1373 | -1.6618 | -1.8474 | |
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| 2.5456 | 0.03 | 50 | 10.4812 | -34.3483 | -10.5927 | 0.4375 | -23.7556 | -369.0945 | -652.6519 | -1.9434 | -2.1850 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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