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aiworks/openhermes-mistral-dpo-gptq

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README.md ADDED
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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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+
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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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+
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+ # openhermes-mistral-dpo-gptq
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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