--- license: apache-2.0 base_model: facebook/bart-base tags: - generated_from_trainer model-index: - name: 04-21-01-51-38 results: [] --- # 04-21-01-51-38 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: 0.5981 ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.6624 | 0.21 | 10 | 0.6567 | | 0.6743 | 0.42 | 20 | 0.6509 | | 0.7049 | 0.62 | 30 | 0.6460 | | 0.7394 | 0.83 | 40 | 0.6382 | | 0.6596 | 1.04 | 50 | 0.6338 | | 0.65 | 1.25 | 60 | 0.6299 | | 0.6736 | 1.46 | 70 | 0.6255 | | 0.6531 | 1.67 | 80 | 0.6201 | | 0.6215 | 1.88 | 90 | 0.6147 | | 0.6448 | 2.08 | 100 | 0.6118 | | 0.6276 | 2.29 | 110 | 0.6055 | | 0.6397 | 2.5 | 120 | 0.6016 | | 0.6261 | 2.71 | 130 | 0.5991 | | 0.6584 | 2.92 | 140 | 0.5981 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.13.3