Downloads · 30 days
17
1% of all-time downloads
AraBART-summ
abdalrahmanshahrour/AraBART-summ
AraBART-summ is a summarization model from abdalrahmanshahrour. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
3.4K
Public
Repo size
3.9 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.bin557 MB · 99%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Dec 11, 2022
- Updated
- Jan 2, 2023
- SHA
- b5469079
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- 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-summ
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Validation Metrics
- Loss: 2.3417
- Rouge1: 2.353
- Rouge2: 1.103
- RougeL: 1.176
- RougeLsum: 1.521
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7555 | 1.0 | 9380 | 2.3417 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Languages
- ar
- Created
- Dec 11, 2022
- Updated
- Jan 2, 2023