--- tags: - generated_from_trainer model-index: - name: bb2bxglm_paraphrase_retrain results: [] --- # bb2bxglm_paraphrase_retrain This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0001 ## 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: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 32 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - training_steps: 200 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 8.59 | 0.0203 | 5 | 9.1062 | | 8.1018 | 0.0406 | 10 | 8.0029 | | 6.5083 | 0.0610 | 15 | 5.7627 | | 4.3652 | 0.0813 | 20 | 3.0824 | | 1.7875 | 0.1016 | 25 | 0.4579 | | 0.2029 | 0.1219 | 30 | 0.0179 | | 0.0116 | 0.1422 | 35 | 0.0019 | | 0.0015 | 0.1625 | 40 | 0.0002 | | 0.0005 | 0.1829 | 45 | 0.0001 | | 0.0005 | 0.2032 | 50 | 0.0001 | | 0.0003 | 0.2235 | 55 | 0.0001 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1