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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: tarsssss/eng-jagoy-t5-001
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. -->
# tarsssss/eng-jagoy-t5-001
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: 6.2078
- Validation Loss: 6.0508
- 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 |
|:----------:|:---------------:|:-----:|
| 7.8603 | 7.4105 | 0 |
| 7.3775 | 7.1273 | 1 |
| 7.1632 | 6.9598 | 2 |
| 7.0228 | 6.8372 | 3 |
| 6.9085 | 6.7335 | 4 |
| 6.8226 | 6.6458 | 5 |
| 6.7451 | 6.5671 | 6 |
| 6.6785 | 6.5022 | 7 |
| 6.6254 | 6.4409 | 8 |
| 6.5606 | 6.3842 | 9 |
| 6.5163 | 6.3361 | 10 |
| 6.4682 | 6.2908 | 11 |
| 6.4250 | 6.2436 | 12 |
| 6.3749 | 6.1907 | 13 |
| 6.3293 | 6.1494 | 14 |
| 6.2822 | 6.1098 | 15 |
| 6.2560 | 6.0750 | 16 |
| 6.2078 | 6.0508 | 17 |
### Framework versions
- Transformers 4.33.2
- TensorFlow 2.10.0
- Datasets 2.15.0
- Tokenizers 0.13.3
|