---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: google-t5/t5-base
model-index:
- name: fil-bic-t5b
  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. -->

# fil-bic-t5b

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3537
- Validation Loss: 1.2117
- Epoch: 9

## 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': 0.001, '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 |
|:----------:|:---------------:|:-----:|
| 1.8355     | 1.3386          | 0     |
| 1.2304     | 1.1693          | 1     |
| 1.0055     | 1.0725          | 2     |
| 0.8533     | 1.0350          | 3     |
| 0.7349     | 1.0468          | 4     |
| 0.6450     | 1.0678          | 5     |
| 0.5478     | 1.0682          | 6     |
| 0.4728     | 1.0854          | 7     |
| 0.4072     | 1.1572          | 8     |
| 0.3537     | 1.2117          | 9     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2