--- license: apache-2.0 base_model: facebook/bart-base tags: - generated_from_trainer model-index: - name: test_1 results: [] --- # test_1 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4313 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.2092 | 0.46 | 500 | 0.6713 | | 0.7295 | 0.91 | 1000 | 0.5501 | | 0.5551 | 1.37 | 1500 | 0.4963 | | 0.496 | 1.82 | 2000 | 0.4647 | | 0.4156 | 2.28 | 2500 | 0.4533 | | 0.3514 | 2.73 | 3000 | 0.4313 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.2+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2