| --- |
| license: apache-2.0 |
| base_model: facebook/bart-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bartL_3 |
| 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. --> |
|
|
| # bartL_3 |
| |
| 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: 2.8209 |
| - Rouge1: 0.1782 |
| - Rouge2: 0.0368 |
| - Rougel: 0.1349 |
| - Rougelsum: 0.1349 |
| - Gen Len: 20.0 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 1515 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 3.283 | 1.0 | 317 | 2.7342 | 0.1742 | 0.0364 | 0.128 | 0.1283 | 20.0 | |
| | 2.6366 | 2.0 | 634 | 2.7466 | 0.1838 | 0.0448 | 0.139 | 0.1394 | 20.0 | |
| | 2.2437 | 3.0 | 951 | 2.7819 | 0.1691 | 0.0374 | 0.1277 | 0.1278 | 20.0 | |
| | 1.9957 | 4.0 | 1268 | 2.8209 | 0.1782 | 0.0368 | 0.1349 | 0.1349 | 20.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
| |
