metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: AraBART-finetuned-wiki-ar
results: []
AraBART-finetuned-wiki-ar
This model is a fine-tuned version of 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