--- license: mit tags: - generated_from_trainer metrics: - rouge model-index: - name: bart-large-cnn-finetuned-roundup-3-4 results: [] --- # bart-large-cnn-finetuned-roundup-3-4 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: 1.1949 - Rouge1: 49.6216 - Rouge2: 29.1874 - Rougel: 32.042 - Rougelsum: 46.3679 - Gen Len: 140.9688 ## 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: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| | No log | 1.0 | 258 | 1.2708 | 48.8914 | 29.2868 | 30.6203 | 46.2886 | 142.0 | | 1.1751 | 2.0 | 516 | 1.1869 | 49.3567 | 28.4751 | 31.3075 | 46.3408 | 141.75 | | 1.1751 | 3.0 | 774 | 1.1869 | 48.8335 | 28.4976 | 30.5434 | 46.2584 | 141.625 | | 0.7391 | 4.0 | 1032 | 1.1949 | 49.6216 | 29.1874 | 32.042 | 46.3679 | 140.9688 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0+cu113 - Datasets 2.1.0 - Tokenizers 0.12.1