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
- Downloads last month
- 21
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.