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arabart-v2-sum-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: 2.0702
- Validation Loss: 2.6760
- Epoch: 19
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 | Epoch |
|---|---|---|
| 2.9033 | 2.5054 | 0 |
| 2.8269 | 2.5495 | 1 |
| 2.7380 | 2.5277 | 2 |
| 2.6357 | 2.5637 | 3 |
| 2.6693 | 2.5888 | 4 |
| 2.6560 | 2.5696 | 5 |
| 2.5431 | 2.5702 | 6 |
| 2.6064 | 2.5789 | 7 |
| 2.5252 | 2.5570 | 8 |
| 2.4553 | 2.6162 | 9 |
| 2.4159 | 2.5925 | 10 |
| 2.4123 | 2.6065 | 11 |
| 2.3180 | 2.6371 | 12 |
| 2.2778 | 2.6259 | 13 |
| 2.2570 | 2.6121 | 14 |
| 2.1909 | 2.6489 | 15 |
| 2.1705 | 2.6390 | 16 |
| 2.1008 | 2.6628 | 17 |
| 2.0684 | 2.6929 | 18 |
| 2.0702 | 2.6760 | 19 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.11.0
- Datasets 2.13.1
- Tokenizers 0.12.1
