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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: 0.5935 |
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- Rewards/chosen: 0.0821 |
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- Rewards/rejected: -0.1240 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 0.2061 |
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- Logps/rejected: -193.3659 |
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- Logps/chosen: -263.6407 |
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- Logits/rejected: -2.0827 |
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- Logits/chosen: -2.0590 |
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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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| 0.6737 | 0.01 | 10 | 0.6325 | 0.1116 | -0.0125 | 0.8125 | 0.1241 | -192.2511 | -263.3457 | -2.0830 | -2.0711 | |
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| 0.7088 | 0.01 | 20 | 0.5983 | 0.1753 | -0.0556 | 1.0 | 0.2309 | -192.6819 | -262.7091 | -2.0822 | -2.0681 | |
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| 0.7333 | 0.01 | 30 | 0.5994 | 0.1257 | -0.0786 | 0.875 | 0.2043 | -192.9118 | -263.2048 | -2.0841 | -2.0637 | |
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| 0.7023 | 0.02 | 40 | 0.5838 | 0.1417 | -0.1014 | 0.8125 | 0.2431 | -193.1394 | -263.0449 | -2.0813 | -2.0600 | |
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| 0.6754 | 0.03 | 50 | 0.5935 | 0.0821 | -0.1240 | 0.875 | 0.2061 | -193.3659 | -263.6407 | -2.0827 | -2.0590 | |
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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 |
