| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bart_base | |
| 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_base | |
| 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: 2.5401 | |
| - Rouge1: 0.2403 | |
| - Rouge2: 0.0714 | |
| - Rougel: 0.1924 | |
| - Rougelsum: 0.1922 | |
| - Gen Len: 18.1163 | |
| ## 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: 4 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | No log | 1.0 | 99 | 2.5104 | 0.189 | 0.053 | 0.154 | 0.1535 | 13.3023 | | |
| | No log | 2.0 | 198 | 2.4941 | 0.2498 | 0.0781 | 0.1972 | 0.197 | 18.2326 | | |
| | No log | 3.0 | 297 | 2.5144 | 0.2394 | 0.0652 | 0.1914 | 0.192 | 18.4419 | | |
| | No log | 4.0 | 396 | 2.5401 | 0.2403 | 0.0714 | 0.1924 | 0.1922 | 18.1163 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |