--- license: mit tags: - generated_from_trainer base_model: facebook/mbart-large-50 model-index: - name: mBART_try results: [] --- # mBART_try 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: 2.6571 ## 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: 2 - eval_batch_size: 2 - 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 | |:-------------:|:-----:|:----:|:---------------:| | No log | 0.2 | 5 | 5.7742 | | No log | 0.4 | 10 | 3.1782 | | No log | 0.6 | 15 | 2.9777 | | No log | 0.8 | 20 | 2.7592 | | No log | 1.0 | 25 | 2.6571 | ### Framework versions - Transformers 4.37.0 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.1