--- license: other library_name: peft tags: - alignment-handbook - trl - dpo - generated_from_trainer base_model: meta-llama/Meta-Llama-3-8B datasets: - EllieS/Temp-L2-DPO model-index: - name: llama3-L1-SFT-L2-DPO results: [] --- # llama3-L1-SFT-L2-DPO This model is a fine-tuned version of [EllieS/TempReason-L1-llama3](https://huggingface.co/EllieS/TempReason-L1-llama3) on the EllieS/Temp-L2-DPO dataset. It achieves the following results on the evaluation set: - Loss: 0.0028 - Rewards/chosen: -0.4016 - Rewards/rejected: -9.3312 - Rewards/accuracies: 1.0 - Rewards/margins: 8.9296 - Logps/rejected: -994.2072 - Logps/chosen: -84.5141 - Logits/rejected: 1.5698 - Logits/chosen: 0.6541 ## 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-06 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - 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 | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.0033 | 0.2497 | 1000 | 0.0065 | -0.3610 | -7.6953 | 1.0 | 7.3344 | -830.6234 | -80.4518 | 1.5489 | 0.7452 | | 0.0013 | 0.4995 | 2000 | 0.0031 | -0.3798 | -9.1892 | 1.0 | 8.8094 | -980.0131 | -82.3365 | 1.5546 | 0.6455 | | 0.0019 | 0.7492 | 3000 | 0.0028 | -0.3966 | -9.3440 | 1.0 | 8.9474 | -995.4902 | -84.0208 | 1.5703 | 0.6568 | | 0.0011 | 0.9989 | 4000 | 0.0028 | -0.4016 | -9.3312 | 1.0 | 8.9296 | -994.2072 | -84.5141 | 1.5698 | 0.6541 | ### Framework versions - PEFT 0.7.1 - Transformers 4.40.2 - Pytorch 2.1.2+cu121 - Datasets 2.18.0 - Tokenizers 0.19.1