--- library_name: transformers license: mit base_model: facebook/mbart-large-50 tags: - generated_from_trainer model-index: - name: mbart_dparsing results: [] --- # mbart_dparsing This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0111 ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.6089 | 0.6667 | 200 | 0.0635 | | 0.0572 | 1.3333 | 400 | 0.0297 | | 0.0352 | 2.0 | 600 | 0.0168 | | 0.0195 | 2.6667 | 800 | 0.0111 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0