metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-en-to-svo-converter
results: []
t5-base-en-to-svo-converter
This model is a fine-tuned version of t5-base on an custom dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4502
- Validation Loss: 0.9447
- Epoch: 29
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 |
|---|---|---|
| 6.1759 | 5.0248 | 0 |
| 4.8012 | 4.0190 | 1 |
| 4.1438 | 3.3283 | 2 |
| 3.6919 | 3.0962 | 3 |
| 3.4139 | 2.7165 | 4 |
| 3.2353 | 2.6857 | 5 |
| 3.0536 | 2.5674 | 6 |
| 2.9421 | 2.3690 | 7 |
| 2.7912 | 2.2234 | 8 |
| 2.7126 | 2.0857 | 9 |
| 2.5692 | 1.9333 | 10 |
| 2.4803 | 1.8273 | 11 |
| 2.3759 | 1.7388 | 12 |
| 2.3160 | 1.6881 | 13 |
| 2.2398 | 1.6645 | 14 |
| 2.1722 | 1.6141 | 15 |
| 2.1018 | 1.6087 | 16 |
| 2.0382 | 1.4362 | 17 |
| 1.9601 | 1.3715 | 18 |
| 1.8813 | 1.3523 | 19 |
| 1.8604 | 1.2811 | 20 |
| 1.8046 | 1.3163 | 21 |
| 1.7001 | 1.2058 | 22 |
| 1.7068 | 1.2065 | 23 |
| 1.6475 | 1.1352 | 24 |
| 1.5943 | 1.1278 | 25 |
| 1.5792 | 0.9393 | 26 |
| 1.5407 | 1.0137 | 27 |
| 1.4625 | 1.0382 | 28 |
| 1.4502 | 0.9447 | 29 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1