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folflo/mt5-small-finetuned-HunSum-1_v0914
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.4746
- Validation Loss: 2.9465
- Epoch: 7
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 16616, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 6.0688 | 3.3040 | 0 |
| 4.4049 | 3.1959 | 1 |
| 4.0458 | 3.1237 | 2 |
| 3.8333 | 3.0693 | 3 |
| 3.6825 | 3.0056 | 4 |
| 3.5749 | 2.9741 | 5 |
| 3.5094 | 2.9565 | 6 |
| 3.4746 | 2.9465 | 7 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
