<!-- 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. -->
projjal/de-en-model
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3144
- Train Accuracy: 0.3364
- 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': 0.002, '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 | Epoch |
|---|---|---|
| 1.7760 | 0.2387 | 0 |
| 1.1744 | 0.2738 | 1 |
| 0.9260 | 0.2887 | 2 |
| 0.7539 | 0.2996 | 3 |
| 0.6160 | 0.3094 | 4 |
| 0.5233 | 0.3157 | 5 |
| 0.4458 | 0.3233 | 6 |
| 0.3891 | 0.3300 | 7 |
| 0.3480 | 0.3327 | 8 |
| 0.3144 | 0.3364 | 9 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.2
