---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: arthur-neto/summarization_fine_tune_bbc_summary
  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. -->

# arthur-neto/summarization_fine_tune_bbc_summary

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: 1.4265
- Validation Loss: 0.5026
- Train Lr: 2e-05
- Epoch: 0

## 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': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Lr | Epoch |
|:----------:|:---------------:|:--------:|:-----:|
| 1.4265     | 0.5026          | 2e-05    | 0     |


### Framework versions

- Transformers 4.57.1
- TensorFlow 2.19.0
- Datasets 4.0.0
- Tokenizers 0.22.1