davidberenstein1957
HF staff
davidberenstein1957/phi2-lora-quantized-distilabel-intel-orca-dpo-pairs
2fb398c
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: 0.0972 | |
| - Rewards/chosen: 0.2699 | |
| - Rewards/rejected: -5.8246 | |
| - Rewards/accuracies: 0.9623 | |
| - Rewards/margins: 6.0944 | |
| - Logps/rejected: -311.1872 | |
| - Logps/chosen: -115.6127 | |
| - Logits/rejected: 0.0766 | |
| - Logits/chosen: 0.0242 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | |
| | 0.6805 | 0.06 | 20 | 0.6540 | 0.0096 | -0.0728 | 0.8367 | 0.0824 | -253.6698 | -118.2153 | 0.3760 | 0.3395 | | |
| | 0.5821 | 0.12 | 40 | 0.4977 | 0.0383 | -0.4385 | 0.9199 | 0.4768 | -257.3268 | -117.9285 | 0.3836 | 0.3356 | | |
| | 0.4163 | 0.19 | 60 | 0.3225 | 0.0641 | -1.1656 | 0.9257 | 1.2298 | -264.5979 | -117.6701 | 0.3836 | 0.3192 | | |
| | 0.275 | 0.25 | 80 | 0.2245 | 0.0476 | -2.1180 | 0.9316 | 2.1656 | -274.1212 | -117.8351 | 0.3399 | 0.2698 | | |
| | 0.1808 | 0.31 | 100 | 0.1771 | -0.0012 | -3.2019 | 0.9366 | 3.2007 | -284.9609 | -118.3238 | 0.2615 | 0.1964 | | |
| | 0.1405 | 0.37 | 120 | 0.1528 | 0.0185 | -4.0396 | 0.9425 | 4.0581 | -293.3371 | -118.1262 | 0.1983 | 0.1407 | | |
| | 0.1121 | 0.44 | 140 | 0.1389 | 0.0285 | -4.6518 | 0.9471 | 4.6802 | -299.4591 | -118.0267 | 0.1493 | 0.0980 | | |
| | 0.1544 | 0.5 | 160 | 0.1289 | 0.0745 | -4.9025 | 0.9506 | 4.9771 | -301.9670 | -117.5659 | 0.1257 | 0.0785 | | |
| | 0.1594 | 0.56 | 180 | 0.1204 | 0.1435 | -4.8770 | 0.9561 | 5.0205 | -301.7119 | -116.8765 | 0.1168 | 0.0696 | | |
| | 0.0988 | 0.62 | 200 | 0.1136 | 0.1830 | -5.1569 | 0.9576 | 5.3400 | -304.5108 | -116.4809 | 0.1078 | 0.0579 | | |
| | 0.1141 | 0.68 | 220 | 0.1080 | 0.2052 | -5.4532 | 0.9580 | 5.6584 | -307.4731 | -116.2591 | 0.0962 | 0.0460 | | |
| | 0.0943 | 0.75 | 240 | 0.1037 | 0.2326 | -5.6061 | 0.9592 | 5.8387 | -309.0026 | -115.9850 | 0.0913 | 0.0393 | | |
| | 0.1108 | 0.81 | 260 | 0.1008 | 0.2500 | -5.7399 | 0.9607 | 5.9900 | -310.3409 | -115.8109 | 0.0827 | 0.0316 | | |
| | 0.1088 | 0.87 | 280 | 0.0987 | 0.2677 | -5.7068 | 0.9619 | 5.9745 | -310.0096 | -115.6346 | 0.0825 | 0.0301 | | |
| | 0.0741 | 0.93 | 300 | 0.0975 | 0.2701 | -5.7873 | 0.9623 | 6.0574 | -310.8145 | -115.6102 | 0.0788 | 0.0261 | | |
| | 0.1059 | 1.0 | 320 | 0.0972 | 0.2699 | -5.8246 | 0.9623 | 6.0944 | -311.1872 | -115.6127 | 0.0766 | 0.0242 | | |
| ### Framework versions | |
| - PEFT 0.7.1 | |
| - Transformers 4.37.1 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.1 |