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Boglinger/mt5-small-german-finetune-mlsum-klexv2
This model is a fine-tuned version of ml6team/mt5-small-german-finetune-mlsum on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.5577
- Validation Loss: 3.2091
- 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': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 2280, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|---|---|---|
| 4.0493 | 3.4725 | 0 |
| 3.8299 | 3.3641 | 1 |
| 3.7296 | 3.3059 | 2 |
| 3.6650 | 3.2651 | 3 |
| 3.6235 | 3.2407 | 4 |
| 3.5919 | 3.2227 | 5 |
| 3.5733 | 3.2122 | 6 |
| 3.5597 | 3.2091 | 7 |
| 3.5599 | 3.2091 | 8 |
| 3.5577 | 3.2091 | 9 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.2
- Tokenizers 0.12.1
