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arabart-finetune-sum-v5-fine-tuned
This model is a fine-tuned version of abdalrahmanshahrour/AraBART-summ on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.6392
- Validation Loss: 2.9100
- Train Lr: 2e-05
- Epoch: 6
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Lr | Epoch |
|---|---|---|---|
| 3.1837 | 2.8523 | 2e-05 | 0 |
| 3.0537 | 2.8248 | 2e-05 | 1 |
| 2.9419 | 2.8509 | 2e-05 | 2 |
| 2.8629 | 2.8580 | 2e-05 | 3 |
| 2.8086 | 2.8829 | 2e-05 | 4 |
| 2.7110 | 2.8474 | 2e-05 | 5 |
| 2.6392 | 2.9100 | 2e-05 | 6 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.13.0
- Datasets 2.13.1
- Tokenizers 0.13.3
