--- library_name: transformers license: apache-2.0 base_model: alignment-handbook/zephyr-7b-sft-full tags: - trl - dpo - generated_from_trainer model-index: - name: zephyr-7b-dpo-full results: [] --- # zephyr-7b-dpo-full This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.2016 - Rewards/chosen: -5.9224 - Rewards/rejected: -7.8036 - Rewards/accuracies: 0.7380 - Rewards/margins: 1.8812 - Logps/rejected: -3.9018 - Logps/chosen: -2.9612 - Logits/rejected: -1.8800 - Logits/chosen: -1.8679 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-07 - train_batch_size: 2 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 16 - total_train_batch_size: 128 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 1.2816 | 0.8375 | 400 | 1.2016 | -5.9224 | -7.8036 | 0.7380 | 1.8812 | -3.9018 | -2.9612 | -1.8800 | -1.8679 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.0+cu121 - Datasets 2.14.6 - Tokenizers 0.20.1