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Training in progress, step 500

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README.md ADDED
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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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+ - alignment-handbook
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+ - generated_from_trainer
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ datasets:
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+ - EllieS/pubmedqa_dpo_data
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+ base_model: alignment-handbook/zephyr-7b-sft-full
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+ model-index:
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+ - name: zephyr-7b-dpo-lora-pubmedqa
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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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+ # zephyr-7b-dpo-lora-pubmedqa
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+
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+ This model is a fine-tuned version of [EllieS/zephyr-7b-sft-qlora](https://huggingface.co/EllieS/zephyr-7b-sft-qlora) on the EllieS/pubmedqa_dpo_data dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6931
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+ - Rewards/chosen: 0.0
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+ - Rewards/rejected: 0.0
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+ - Rewards/accuracies: 0.0
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+ - Rewards/margins: 0.0
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+ - Logps/rejected: -36.0156
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+ - Logps/chosen: -31.6600
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+ - Logits/rejected: -2.8963
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+ - Logits/chosen: -2.8905
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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: 5e-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
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+ "peft_type": "LORA",
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