<!-- 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. -->
EinsZwo/en-to-de_coref_words_moreEpochs
This model is a fine-tuned version of EinsZwo/en-to-de_coref_words on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7690
- Validation Loss: 1.4251
- Epoch: 6
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': 5e-05, 'decay_steps': 40649, '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 |
|---|---|---|
| 1.2116 | 1.3502 | 0 |
| 1.0925 | 1.3576 | 1 |
| 0.9982 | 1.3748 | 2 |
| 0.9210 | 1.3966 | 3 |
| 0.8575 | 1.4064 | 4 |
| 0.8064 | 1.4174 | 5 |
| 0.7690 | 1.4251 | 6 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
