metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Mluleki/dyu-fr-translation
results: []
Mluleki/dyu-fr-translation
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.0678
- Validation Loss: 2.8734
- 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': 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 | Validation Loss | Epoch |
|---|---|---|
| 3.6875 | 3.2490 | 0 |
| 3.4758 | 3.1470 | 1 |
| 3.3749 | 3.0798 | 2 |
| 3.3153 | 3.0285 | 3 |
| 3.2551 | 2.9931 | 4 |
| 3.2077 | 2.9603 | 5 |
| 3.1696 | 2.9331 | 6 |
| 3.1311 | 2.9081 | 7 |
| 3.0996 | 2.8899 | 8 |
| 3.0678 | 2.8734 | 9 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.15.0
- Datasets 2.14.2
- Tokenizers 0.13.3