| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - wiki_auto |
| | model-index: |
| | - name: bart-base-finetuned-text-simplification |
| | 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-finetuned-text-simplification |
| |
|
| | This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the wiki_auto dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 7.4564 |
| | - Sari: 58.8687 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3.0 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Sari | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | | 0.1758 | 1.0 | 23363 | 6.7617 | 58.9526 | |
| | | 0.1474 | 2.0 | 46726 | 7.1742 | 58.8800 | |
| | | 0.1349 | 3.0 | 70089 | 7.4564 | 58.8687 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.4 |
| | - Pytorch 1.13.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.2 |
| | |
