--- library_name: transformers license: mit base_model: facebook/bart-large-cnn tags: - generated_from_trainer metrics: - rouge model-index: - name: Large_2000samples_new_without_format results: [] --- # Large_2000samples_new_without_format This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.6015 - Model Preparation Time: 0.0208 - Rouge1: 75.395 - Rouge2: 67.875 - Rougel: 60.2432 - Rougelsum: 74.8264 - Gen Len: 104.49 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 300 - num_epochs: 2 - label_smoothing_factor: 0.1 ### Training results ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.0+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1