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n3wtou/mt5-small-finedtuned-4-swahili
This model is a fine-tuned version of google/mt5-small on csebuetnlp/xlsum dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.4419
- Validation Loss: 2.4809
- Epoch: 9
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0003, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 19900, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 100, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 5.6636 | 2.9818 | 0 |
| 3.7789 | 2.7822 | 1 |
| 3.3841 | 2.6840 | 2 |
| 3.1496 | 2.6238 | 3 |
| 2.9656 | 2.5816 | 4 |
| 2.8134 | 2.5522 | 5 |
| 2.6914 | 2.5315 | 6 |
| 2.5935 | 2.4980 | 7 |
| 2.5056 | 2.4764 | 8 |
| 2.4419 | 2.4809 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
