dvilasuero
HF staff
dvilasuero/phi2-lora-quantized-distilabel-intel-orca-dpo-pairs-adapter
7d98903
verified
| 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: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 |