--- library_name: transformers tags: - generated_from_trainer model-index: - name: checkpoints results: [] --- # checkpoints This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2159 ## 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: 3e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.1877 | 1.0 | 1251 | 0.1840 | | 0.1032 | 2.0 | 2502 | 0.1696 | | 0.0553 | 3.0 | 3753 | 0.1936 | | 0.0292 | 4.0 | 5004 | 0.2040 | | 0.0256 | 5.0 | 6255 | 0.2159 | ### Framework versions - Transformers 4.57.6 - Pytorch 2.9.0 - Datasets 3.2.0 - Tokenizers 0.22.2