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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: 0.6066 |
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- Rewards/chosen: 0.0894 |
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- Rewards/rejected: -0.0023 |
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- Rewards/accuracies: 0.5 |
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- Rewards/margins: 0.0917 |
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- Logps/rejected: -158.0340 |
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- Logps/chosen: -152.2324 |
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- Logits/rejected: -2.3521 |
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- Logits/chosen: -2.4734 |
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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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| 0.6778 | 0.01 | 10 | 0.6796 | -0.0179 | -0.0353 | 0.625 | 0.0174 | -158.3634 | -153.3049 | -2.3602 | -2.4849 | |
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| 0.7178 | 0.01 | 20 | 0.6321 | 0.0123 | -0.0701 | 0.5625 | 0.0824 | -158.7113 | -153.0028 | -2.3602 | -2.4815 | |
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| 0.7263 | 0.01 | 30 | 0.6050 | 0.0538 | -0.0401 | 0.5 | 0.0939 | -158.4116 | -152.5882 | -2.3567 | -2.4779 | |
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| 0.6941 | 0.02 | 40 | 0.6047 | 0.0834 | -0.0114 | 0.5 | 0.0948 | -158.1251 | -152.2924 | -2.3545 | -2.4749 | |
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| 0.6889 | 0.03 | 50 | 0.6066 | 0.0894 | -0.0023 | 0.5 | 0.0917 | -158.0340 | -152.2324 | -2.3521 | -2.4734 | |
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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 |
