--- license: apache-2.0 base_model: aparajitha/bart-base-sci-tr tags: - generated_from_trainer model-index: - name: bart-base-sci-ms-tr results: [] --- # bart-base-sci-ms-tr This model is a fine-tuned version of [aparajitha/bart-base-sci-tr](https://huggingface.co/aparajitha/bart-base-sci-tr) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.1887 ## 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.4897 | 1.0 | 2184 | 2.2884 | | 2.2378 | 2.0 | 4368 | 2.2122 | | 2.0913 | 3.0 | 6552 | 2.1909 | | 2.0012 | 4.0 | 8736 | 2.1907 | | 1.8773 | 5.0 | 10920 | 2.1834 | | 1.8211 | 6.0 | 13104 | 2.1887 | ### Framework versions - Transformers 4.43.4 - Pytorch 1.13.1 - Datasets 2.12.0 - Tokenizers 0.19.1