---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/t5-small-dataset-ii-eng-lim
  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. -->

# bedus-creation/t5-small-dataset-ii-eng-lim

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: 6.6551
- Validation Loss: 6.6150
- Epoch: 39

## 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 |
|:----------:|:---------------:|:-----:|
| 8.3860     | 7.8693          | 0     |
| 7.8568     | 7.6558          | 1     |
| 7.6900     | 7.5352          | 2     |
| 7.5904     | 7.4631          | 3     |
| 7.5155     | 7.4041          | 4     |
| 7.4554     | 7.3553          | 5     |
| 7.4005     | 7.3036          | 6     |
| 7.3547     | 7.2561          | 7     |
| 7.3104     | 7.2076          | 8     |
| 7.2651     | 7.1736          | 9     |
| 7.2302     | 7.1315          | 10    |
| 7.1888     | 7.0968          | 11    |
| 7.1616     | 7.0651          | 12    |
| 7.1290     | 7.0307          | 13    |
| 7.1066     | 7.0053          | 14    |
| 7.0729     | 6.9707          | 15    |
| 7.0388     | 6.9448          | 16    |
| 7.0169     | 6.9307          | 17    |
| 6.9924     | 6.9024          | 18    |
| 6.9716     | 6.8793          | 19    |
| 6.9503     | 6.8574          | 20    |
| 6.9252     | 6.8467          | 21    |
| 6.9136     | 6.8283          | 22    |
| 6.8915     | 6.8110          | 23    |
| 6.8697     | 6.7949          | 24    |
| 6.8531     | 6.7795          | 25    |
| 6.8336     | 6.7697          | 26    |
| 6.8255     | 6.7512          | 27    |
| 6.8080     | 6.7408          | 28    |
| 6.7928     | 6.7286          | 29    |
| 6.7752     | 6.7145          | 30    |
| 6.7629     | 6.7035          | 31    |
| 6.7467     | 6.6857          | 32    |
| 6.7329     | 6.6796          | 33    |
| 6.7216     | 6.6668          | 34    |
| 6.7067     | 6.6644          | 35    |
| 6.6935     | 6.6473          | 36    |
| 6.6810     | 6.6427          | 37    |
| 6.6713     | 6.6261          | 38    |
| 6.6551     | 6.6150          | 39    |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3