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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: HuggingFaceH4/zephyr-7b-beta
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: zephyr-7b-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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+ # zephyr-7b-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 the None 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: -328.2512
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+ - Logps/chosen: -343.0409
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+ - Logits/rejected: -2.3948
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+ - Logits/chosen: -2.4361
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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-07
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 32
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+ - total_eval_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: 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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+ - Transformers 4.35.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "eval_logits/rejected": -2.394818067550659,
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+ "eval_logps/chosen": -343.0408935546875,
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+ "eval_logps/rejected": -328.2511901855469,
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+ "eval_loss": 0.6931473612785339,
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+ "eval_rewards/accuracies": 0.0,
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+ "eval_rewards/chosen": 0.0,
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+ "eval_rewards/margins": 0.0,
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+ "eval_rewards/rejected": 0.0,
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+ "eval_runtime": 156.7305,
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+ "eval_samples": 32,
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+ "eval_samples_per_second": 12.761,
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+ "eval_steps_per_second": 0.402,
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+ "train_loss": 0.6931471824645996,
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+ "train_runtime": 5.5573,
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+ "train_samples": 61966,
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+ "train_samples_per_second": 5.758,
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+ "train_steps_per_second": 0.18
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+ }
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