metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliT5
results: []
pijarcandra22/NMTIndoBaliT5
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: 1.0482
- Validation Loss: 1.3795
- Epoch: 37
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': 1e-04, '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 |
|---|---|---|
| 3.2881 | 2.6852 | 0 |
| 2.7514 | 2.4004 | 1 |
| 2.5012 | 2.2171 | 2 |
| 2.3252 | 2.0959 | 3 |
| 2.1930 | 1.9901 | 4 |
| 2.0837 | 1.9130 | 5 |
| 1.9912 | 1.8452 | 6 |
| 1.9107 | 1.7974 | 7 |
| 1.8459 | 1.7521 | 8 |
| 1.7902 | 1.7165 | 9 |
| 1.7321 | 1.6842 | 10 |
| 1.6811 | 1.6400 | 11 |
| 1.6374 | 1.6230 | 12 |
| 1.5973 | 1.5960 | 13 |
| 1.5588 | 1.5765 | 14 |
| 1.5244 | 1.5589 | 15 |
| 1.4933 | 1.5370 | 16 |
| 1.4588 | 1.5300 | 17 |
| 1.4325 | 1.5107 | 18 |
| 1.4054 | 1.4970 | 19 |
| 1.3730 | 1.4839 | 20 |
| 1.3475 | 1.4789 | 21 |
| 1.3231 | 1.4616 | 22 |
| 1.3035 | 1.4568 | 23 |
| 1.2768 | 1.4489 | 24 |
| 1.2587 | 1.4396 | 25 |
| 1.2380 | 1.4364 | 26 |
| 1.2208 | 1.4273 | 27 |
| 1.2026 | 1.4228 | 28 |
| 1.1755 | 1.4141 | 29 |
| 1.1614 | 1.4062 | 30 |
| 1.1460 | 1.4060 | 31 |
| 1.1289 | 1.3934 | 32 |
| 1.1134 | 1.4007 | 33 |
| 1.0965 | 1.3927 | 34 |
| 1.0818 | 1.3874 | 35 |
| 1.0661 | 1.3921 | 36 |
| 1.0482 | 1.3795 | 37 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2