|
--- |
|
license: apache-2.0 |
|
base_model: t5-small |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: pijarcandra22/t5Indo2Jawa |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# pijarcandra22/t5Indo2Jawa |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co./t5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 2.1673 |
|
- Validation Loss: 1.9762 |
|
- Epoch: 45 |
|
|
|
## 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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 3.5149 | 3.1567 | 0 | |
|
| 3.3816 | 3.0397 | 1 | |
|
| 3.2812 | 2.9518 | 2 | |
|
| 3.1977 | 2.8751 | 3 | |
|
| 3.1223 | 2.8078 | 4 | |
|
| 3.0599 | 2.7507 | 5 | |
|
| 3.0019 | 2.6979 | 6 | |
|
| 2.9517 | 2.6513 | 7 | |
|
| 2.9034 | 2.6121 | 8 | |
|
| 2.8638 | 2.5756 | 9 | |
|
| 2.8232 | 2.5391 | 10 | |
|
| 2.7856 | 2.5089 | 11 | |
|
| 2.7541 | 2.4786 | 12 | |
|
| 2.7219 | 2.4499 | 13 | |
|
| 2.6935 | 2.4256 | 14 | |
|
| 2.6658 | 2.4010 | 15 | |
|
| 2.6389 | 2.3762 | 16 | |
|
| 2.6143 | 2.3550 | 17 | |
|
| 2.5899 | 2.3313 | 18 | |
|
| 2.5665 | 2.3156 | 19 | |
|
| 2.5445 | 2.2939 | 20 | |
|
| 2.5224 | 2.2750 | 21 | |
|
| 2.5022 | 2.2569 | 22 | |
|
| 2.4834 | 2.2410 | 23 | |
|
| 2.4641 | 2.2220 | 24 | |
|
| 2.4443 | 2.2091 | 25 | |
|
| 2.4267 | 2.1948 | 26 | |
|
| 2.4129 | 2.1796 | 27 | |
|
| 2.3937 | 2.1657 | 28 | |
|
| 2.3782 | 2.1523 | 29 | |
|
| 2.3616 | 2.1385 | 30 | |
|
| 2.3471 | 2.1267 | 31 | |
|
| 2.3351 | 2.1110 | 32 | |
|
| 2.3184 | 2.0988 | 33 | |
|
| 2.3047 | 2.0871 | 34 | |
|
| 2.2920 | 2.0768 | 35 | |
|
| 2.2767 | 2.0649 | 36 | |
|
| 2.2651 | 2.0546 | 37 | |
|
| 2.2526 | 2.0445 | 38 | |
|
| 2.2388 | 2.0333 | 39 | |
|
| 2.2264 | 2.0234 | 40 | |
|
| 2.2157 | 2.0165 | 41 | |
|
| 2.2050 | 2.0049 | 42 | |
|
| 2.1906 | 1.9946 | 43 | |
|
| 2.1824 | 1.9845 | 44 | |
|
| 2.1673 | 1.9762 | 45 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- TensorFlow 2.14.0 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
