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README.md ADDED
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+ ---
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+ license: mit
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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: HuggingFaceH4/zephyr-7b-beta
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+ model-index:
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+ - name: WeniGPT-2.6.1-Zephyr-7B-0.3-reduction-QA-1.0.1_DPO
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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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+ # WeniGPT-2.6.1-Zephyr-7B-0.3-reduction-QA-1.0.1_DPO
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+
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6539
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+ - Rewards/chosen: 0.9200
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+ - Rewards/rejected: -1.4403
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+ - Rewards/accuracies: 0.0562
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+ - Rewards/margins: 2.3603
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+ - Logps/rejected: -10.8805
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+ - Logps/chosen: -5.1910
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+ - Logits/rejected: -2.3586
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+ - Logits/chosen: -2.3589
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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: 0.0005
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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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_ratio: 0.1
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+ - training_steps: 89
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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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+ | 4.3155 | 0.56 | 50 | 0.7680 | -0.3150 | -1.9142 | 0.0500 | 1.5992 | -11.3544 | -6.4260 | -2.2698 | -2.2706 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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