<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
tensorflowt5banel
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6064
- Train Accuracy: 0.9061
- Validation Loss: 0.4564
- Validation Accuracy: 0.9326
- Epoch: 3
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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 8.0095 | 0.6595 | 0.8290 | 0.8899 | 0 |
| 1.0025 | 0.8851 | 0.6393 | 0.8900 | 1 |
| 0.7252 | 0.8958 | 0.5124 | 0.9151 | 2 |
| 0.6064 | 0.9061 | 0.4564 | 0.9326 | 3 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
