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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/t5Indo2Sunda
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/t5Indo2Sunda
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: 2.7225
- Validation Loss: 2.5299
- Epoch: 27
## 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 |
|:----------:|:---------------:|:-----:|
| 4.3724 | 3.9124 | 0 |
| 3.9887 | 3.6348 | 1 |
| 3.7534 | 3.4215 | 2 |
| 3.5819 | 3.2847 | 3 |
| 3.4632 | 3.1902 | 4 |
| 3.3751 | 3.1139 | 5 |
| 3.3039 | 3.0493 | 6 |
| 3.2447 | 2.9955 | 7 |
| 3.1911 | 2.9481 | 8 |
| 3.1455 | 2.9082 | 9 |
| 3.1068 | 2.8718 | 10 |
| 3.0697 | 2.8387 | 11 |
| 3.0381 | 2.8105 | 12 |
| 3.0050 | 2.7825 | 13 |
| 2.9796 | 2.7568 | 14 |
| 2.9510 | 2.7350 | 15 |
| 2.9259 | 2.7096 | 16 |
| 2.9053 | 2.6881 | 17 |
| 2.8833 | 2.6696 | 18 |
| 2.8599 | 2.6510 | 19 |
| 2.8403 | 2.6328 | 20 |
| 2.8207 | 2.6171 | 21 |
| 2.8046 | 2.5999 | 22 |
| 2.7861 | 2.5857 | 23 |
| 2.7715 | 2.5699 | 24 |
| 2.7557 | 2.5542 | 25 |
| 2.7387 | 2.5420 | 26 |
| 2.7225 | 2.5299 | 27 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0
|