| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: facebook/bart-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: classification_bart |
| | 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. --> |
| |
|
| | # classification_bart |
| | |
| | This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6395 |
| | - Rouge1: 61.878 |
| | - Rouge2: 49.9283 |
| | - Rougel: 59.6423 |
| | - Rougelsum: 59.7142 |
| | - Gen Len: 21.0 |
| | |
| | ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 341 | 0.7811 | 60.1042 | 48.0406 | 58.0511 | 58.1495 | 21.0 | |
| | | 0.834 | 2.0 | 682 | 0.7603 | 61.3673 | 48.0906 | 58.5343 | 58.6285 | 21.0 | |
| | | 0.549 | 3.0 | 1023 | 0.6395 | 61.878 | 49.9283 | 59.6423 | 59.7142 | 21.0 | |
| | | 0.549 | 4.0 | 1364 | 0.6827 | 62.0219 | 50.1238 | 59.7593 | 59.8346 | 21.0 | |
| | | 0.4279 | 5.0 | 1705 | 0.6626 | 62.2247 | 50.4714 | 59.962 | 60.0911 | 21.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.50.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.21.0 |
| | |
