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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: 0.5940 |
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- Rewards/chosen: 0.0155 |
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- Rewards/rejected: -0.3247 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 0.3402 |
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- Logps/rejected: -329.5930 |
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- Logps/chosen: -281.9707 |
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- Logits/rejected: -2.2879 |
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- Logits/chosen: -2.2211 |
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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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| 0.6766 | 0.01 | 10 | 0.7047 | -0.0328 | -0.0733 | 0.5 | 0.0405 | -327.0790 | -282.4540 | -2.2913 | -2.2181 | |
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| 0.7059 | 0.01 | 20 | 0.6603 | -0.0641 | -0.2367 | 0.8125 | 0.1726 | -328.7130 | -282.7669 | -2.2896 | -2.2224 | |
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| 0.6913 | 0.01 | 30 | 0.6036 | 0.0238 | -0.2729 | 0.875 | 0.2968 | -329.0755 | -281.8873 | -2.2889 | -2.2248 | |
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| 0.7003 | 0.02 | 40 | 0.5921 | 0.0259 | -0.3104 | 0.875 | 0.3364 | -329.4504 | -281.8663 | -2.2881 | -2.2227 | |
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| 0.6585 | 0.03 | 50 | 0.5940 | 0.0155 | -0.3247 | 0.875 | 0.3402 | -329.5930 | -281.9707 | -2.2879 | -2.2211 | |
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### Framework versions |
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- PEFT 0.10.0 |
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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 |
