| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: AraBART-finetuned-wiki-ar | |
| 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. --> | |
| # AraBART-finetuned-wiki-ar | |
| This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.5303 | |
| - Rouge1: 0.8349 | |
| - Rouge2: 0.1707 | |
| - Rougel: 0.8186 | |
| - Rougelsum: 0.8309 | |
| - Gen Len: 19.3457 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 2.8893 | 1.0 | 2556 | 2.5764 | 0.7631 | 0.1592 | 0.7567 | 0.7608 | 19.2665 | | |
| | 2.7276 | 2.0 | 5112 | 2.5303 | 0.8349 | 0.1707 | 0.8186 | 0.8309 | 19.3457 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |