--- license: apache-2.0 base_model: facebook/bart-base tags: - generated_from_trainer model-index: - name: BARTModel_ExerciseLog results: [] --- # BARTModel_ExerciseLog 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: 3.7026 ## 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: 2000 - eval_batch_size: 400 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 1 | 7.3041 | | No log | 2.0 | 2 | 5.6712 | | No log | 3.0 | 3 | 4.9672 | | No log | 4.0 | 4 | 4.5629 | | No log | 5.0 | 5 | 4.3160 | | No log | 6.0 | 6 | 4.1601 | | No log | 7.0 | 7 | 4.0556 | | No log | 8.0 | 8 | 3.9802 | | No log | 9.0 | 9 | 3.9111 | | No log | 10.0 | 10 | 3.8495 | | No log | 11.0 | 11 | 3.7991 | | No log | 12.0 | 12 | 3.7606 | | No log | 13.0 | 13 | 3.7318 | | No log | 14.0 | 14 | 3.7124 | | No log | 15.0 | 15 | 3.7026 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1