--- license: mit library_name: peft tags: - trl - dpo - generated_from_trainer base_model: microsoft/phi-2 model-index: - name: phi2-lora-quantized-distilabel-intel-orca-dpo-pairs results: [] --- # phi2-lora-quantized-distilabel-intel-orca-dpo-pairs This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5173 - Rewards/chosen: -0.0019 - Rewards/rejected: -0.7725 - Rewards/accuracies: 0.7816 - Rewards/margins: 0.7706 - Logps/rejected: -233.5226 - Logps/chosen: -214.1249 - Logits/rejected: 0.3181 - Logits/chosen: 0.2015 ## 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: 1e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 20 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.6887 | 0.14 | 20 | 0.6767 | 0.0030 | -0.0331 | 0.6341 | 0.0361 | -226.1282 | -214.0752 | 0.2238 | 0.1343 | | 0.6472 | 0.27 | 40 | 0.6171 | 0.0141 | -0.1710 | 0.7639 | 0.1852 | -227.5079 | -213.9642 | 0.2464 | 0.1508 | | 0.5759 | 0.41 | 60 | 0.5584 | 0.0123 | -0.4023 | 0.7808 | 0.4146 | -229.8206 | -213.9829 | 0.2774 | 0.1736 | | 0.526 | 0.54 | 80 | 0.5326 | 0.0036 | -0.5790 | 0.7816 | 0.5826 | -231.5877 | -214.0700 | 0.2983 | 0.1884 | | 0.4963 | 0.68 | 100 | 0.5225 | 0.0020 | -0.6964 | 0.7825 | 0.6984 | -232.7611 | -214.0853 | 0.3131 | 0.1986 | | 0.4977 | 0.81 | 120 | 0.5188 | -0.0025 | -0.7533 | 0.7816 | 0.7508 | -233.3300 | -214.1302 | 0.3162 | 0.2002 | | 0.4818 | 0.95 | 140 | 0.5173 | -0.0019 | -0.7725 | 0.7816 | 0.7706 | -233.5226 | -214.1249 | 0.3181 | 0.2015 | ### Framework versions - PEFT 0.7.1 - Transformers 4.37.1 - Pytorch 2.1.0+cu118 - Datasets 2.16.1 - Tokenizers 0.15.1