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mt5-small-v9-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: 2.3330
- Epoch: 24
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 | Epoch |
|---|---|
| 3.9662 | 0 |
| 3.6350 | 1 |
| 3.4190 | 2 |
| 3.2912 | 3 |
| 3.2457 | 4 |
| 3.1096 | 5 |
| 3.1070 | 6 |
| 3.0977 | 7 |
| 2.9406 | 8 |
| 2.9457 | 9 |
| 2.8699 | 10 |
| 2.7632 | 11 |
| 2.7631 | 12 |
| 2.7272 | 13 |
| 2.7118 | 14 |
| 2.7004 | 15 |
| 2.6448 | 16 |
| 2.5781 | 17 |
| 2.5131 | 18 |
| 2.5630 | 19 |
| 2.4825 | 20 |
| 2.4222 | 21 |
| 2.3742 | 22 |
| 2.3636 | 23 |
| 2.3330 | 24 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.13.0
- Datasets 2.13.1
- Tokenizers 0.13.3
