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End of training

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+ ---
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+ license: apache-2.0
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+ base_model: davidkim205/nox-solar-10.7b-v4
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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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+ model-index:
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+ - name: dpo_v4_reseve_v1
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+ results: []
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+ library_name: peft
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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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+ # dpo_v4_reseve_v1
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+
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+ This model is a fine-tuned version of [davidkim205/nox-solar-10.7b-v4](https://huggingface.co/davidkim205/nox-solar-10.7b-v4) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2529
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+ - Rewards/chosen: 1.8018
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+ - Rewards/rejected: -2.8948
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+ - Rewards/accuracies: 0.5640
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+ - Rewards/margins: 4.6966
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+ - Logps/rejected: -431.3928
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+ - Logps/chosen: -361.0608
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+ - Logits/rejected: -2.2914
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+ - Logits/chosen: -2.3061
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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: 0.0001
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - num_epochs: 1
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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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+ | 1.5803 | 1.0 | 4750 | 1.2529 | 1.8018 | -2.8948 | 0.5640 | 4.6966 | -431.3928 | -361.0608 | -2.2914 | -2.3061 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.5.0
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2