metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: JuliusFx/dyu-fr-t5-small_v8
results: []
JuliusFx/dyu-fr-t5-small_v8
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: 2.6059
- Validation Loss: 2.9505
- Epoch: 17
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 |
|---|---|---|
| 3.1481 | 3.2663 | 0 |
| 3.0205 | 3.2024 | 1 |
| 2.9712 | 3.1559 | 2 |
| 2.9209 | 3.1465 | 3 |
| 2.8848 | 3.1125 | 4 |
| 2.8512 | 3.1014 | 5 |
| 2.8239 | 3.0771 | 6 |
| 2.7965 | 3.0641 | 7 |
| 2.7743 | 3.0431 | 8 |
| 2.7505 | 3.0327 | 9 |
| 2.7325 | 3.0072 | 10 |
| 2.7153 | 3.0060 | 11 |
| 2.6904 | 2.9950 | 12 |
| 2.6750 | 2.9895 | 13 |
| 2.6554 | 2.9700 | 14 |
| 2.6400 | 2.9632 | 15 |
| 2.6220 | 2.9534 | 16 |
| 2.6059 | 2.9505 | 17 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2