metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: dyu-fr-t5-small
results: []
dyu-fr-t5-small
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: 2.7460
- Validation Loss: 2.7296
- Epoch: 24
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 |
|---|---|---|
| 3.6901 | 3.2495 | 0 |
| 3.4675 | 3.1435 | 1 |
| 3.3768 | 3.0836 | 2 |
| 3.3150 | 3.0325 | 3 |
| 3.2568 | 2.9926 | 4 |
| 3.2142 | 2.9639 | 5 |
| 3.1743 | 2.9341 | 6 |
| 3.1376 | 2.9166 | 7 |
| 3.1019 | 2.8968 | 8 |
| 3.0716 | 2.8781 | 9 |
| 3.0480 | 2.8647 | 10 |
| 3.0187 | 2.8465 | 11 |
| 2.9931 | 2.8347 | 12 |
| 2.9661 | 2.8247 | 13 |
| 2.9482 | 2.8123 | 14 |
| 2.9176 | 2.7992 | 15 |
| 2.9023 | 2.7922 | 16 |
| 2.8792 | 2.7826 | 17 |
| 2.8600 | 2.7731 | 18 |
| 2.8422 | 2.7683 | 19 |
| 2.8236 | 2.7567 | 20 |
| 2.7979 | 2.7493 | 21 |
| 2.7856 | 2.7438 | 22 |
| 2.7681 | 2.7346 | 23 |
| 2.7460 | 2.7296 | 24 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2