AraT5v2-base-1024-finetuned-ALjazeera
This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on the None dataset.
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 65 | 3.9129 | 0.0 | 0.0 | 0.0 | 0.0 | 10.9062 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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Model tree for ibtissam369/AraT5v2-base-1024-finetuned-ALjazeera
Base model
UBC-NLP/AraT5v2-base-1024