| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| base_model: facebook/bart-large-cnn | |
| model-index: | |
| - name: bart-large-cnn-summarizer_03 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # bart-large-cnn-summarizer_03 | |
| 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: 1.0999 | |
| - Rouge1: 51.6222 | |
| - Rouge2: 33.428 | |
| - Rougel: 40.2093 | |
| - Rougelsum: 47.7154 | |
| - Gen Len: 102.7962 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| | |
| | 0.9348 | 1.0 | 17166 | 0.9969 | 51.0763 | 32.9497 | 39.6851 | 47.0744 | 99.664 | | |
| | 0.7335 | 2.0 | 34332 | 1.0019 | 51.8002 | 33.8081 | 40.5887 | 47.9445 | 99.7884 | | |
| | 0.471 | 3.0 | 51498 | 1.0999 | 51.6222 | 33.428 | 40.2093 | 47.7154 | 102.7962 | | |
| ### Framework versions | |
| - Transformers 4.12.3 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 1.15.1 | |
| - Tokenizers 0.10.3 | |