lakshaywadhwa1993/mt5-small-finetuned-hindi-mt5
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: 1.4909
- Validation Loss: 1.3507
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 41000, '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 |
|---|---|---|
| 3.5310 | 1.8341 | 0 |
| 2.0735 | 1.6193 | 1 |
| 1.7617 | 1.4672 | 2 |
| 1.6375 | 1.4271 | 3 |
| 1.5712 | 1.3720 | 4 |
| 1.5294 | 1.3656 | 5 |
| 1.5051 | 1.3531 | 6 |
| 1.4909 | 1.3507 | 7 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1