--- license: llama3.1 library_name: peft tags: - trl - dpo - generated_from_trainer base_model: meta-llama/Meta-Llama-3.1-8B-Instruct model-index: - name: llama3.1_8b_dpo_bwgenerator results: [] --- # llama3.1_8b_dpo_bwgenerator This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0325 - Rewards/chosen: -8.0882 - Rewards/rejected: -39.4615 - Rewards/accuracies: 0.9958 - Rewards/margins: 31.3733 - Logps/rejected: -504.7621 - Logps/chosen: -165.4306 - Logits/rejected: -1.1893 - Logits/chosen: -1.7730 ## 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-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - 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 | |:-------------:|:------:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.0854 | 0.0719 | 1000 | 0.1058 | -28.5182 | -64.6284 | 0.9929 | 36.1101 | -756.4312 | -369.7310 | -1.1763 | -1.7541 | | 0.078 | 0.1438 | 2000 | 0.0582 | -16.5113 | -45.2514 | 0.9938 | 28.7401 | -562.6614 | -249.6615 | -1.1262 | -1.7216 | | 0.0458 | 0.2157 | 3000 | 0.0506 | -12.8337 | -41.3538 | 0.9942 | 28.5201 | -523.6852 | -212.8855 | -1.3210 | -1.8884 | | 0.0295 | 0.2876 | 4000 | 0.0534 | -12.7034 | -45.1669 | 0.9942 | 32.4635 | -561.8164 | -211.5826 | -1.2303 | -1.8040 | | 0.0442 | 0.3595 | 5000 | 0.0428 | -10.9032 | -42.1320 | 0.9955 | 31.2288 | -531.4679 | -193.5811 | -1.2327 | -1.8028 | | 0.0329 | 0.4313 | 6000 | 0.0365 | -8.5207 | -36.8790 | 0.9951 | 28.3583 | -478.9377 | -169.7559 | -1.2024 | -1.7841 | | 0.0384 | 0.5032 | 7000 | 0.0418 | -12.1405 | -46.4364 | 0.9955 | 34.2959 | -574.5117 | -205.9535 | -1.1646 | -1.7549 | | 0.0596 | 0.5751 | 8000 | 0.0344 | -8.7801 | -39.5544 | 0.9951 | 30.7743 | -505.6917 | -172.3499 | -1.2145 | -1.7970 | | 0.0437 | 0.6470 | 9000 | 0.0347 | -9.4417 | -41.5833 | 0.9955 | 32.1416 | -525.9807 | -178.9660 | -1.1796 | -1.7709 | | 0.0203 | 0.7189 | 10000 | 0.0357 | -9.3723 | -41.8496 | 0.9951 | 32.4773 | -528.6439 | -178.2718 | -1.1694 | -1.7593 | | 0.0257 | 0.7908 | 11000 | 0.0347 | -8.6569 | -40.6073 | 0.9961 | 31.9505 | -516.2208 | -171.1173 | -1.1821 | -1.7676 | | 0.0355 | 0.8627 | 12000 | 0.0332 | -8.4060 | -40.1402 | 0.9964 | 31.7342 | -511.5494 | -168.6083 | -1.1878 | -1.7722 | | 0.0553 | 0.9346 | 13000 | 0.0325 | -8.0882 | -39.4615 | 0.9958 | 31.3733 | -504.7621 | -165.4306 | -1.1893 | -1.7730 | ### Framework versions - PEFT 0.10.0 - Transformers 4.44.0 - Pytorch 2.3.0+cu121 - Datasets 2.14.7 - Tokenizers 0.19.1