---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: cv_summarization-t5-small
  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. -->

# cv_summarization-t5-small

This model is a fine-tuned version of [gopalkalpande/t5-small-finetuned-bbc-news-summarization](https://huggingface.co/gopalkalpande/t5-small-finetuned-bbc-news-summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.8053
- Validation Loss: 0.7027
- Train Rougel: tf.Tensor(0.3339088, shape=(), dtype=float32)
- 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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rougel                                   | Epoch |
|:----------:|:---------------:|:----------------------------------------------:|:-----:|
| 1.9068     | 1.5592          | tf.Tensor(0.31806523, shape=(), dtype=float32) | 0     |
| 1.6027     | 1.3316          | tf.Tensor(0.30698553, shape=(), dtype=float32) | 1     |
| 1.4177     | 1.1818          | tf.Tensor(0.30701882, shape=(), dtype=float32) | 2     |
| 1.2744     | 1.0718          | tf.Tensor(0.30627215, shape=(), dtype=float32) | 3     |
| 1.1618     | 0.9846          | tf.Tensor(0.3005299, shape=(), dtype=float32)  | 4     |
| 1.0575     | 0.9088          | tf.Tensor(0.2958022, shape=(), dtype=float32)  | 5     |
| 0.9764     | 0.8441          | tf.Tensor(0.30608675, shape=(), dtype=float32) | 6     |
| 0.9196     | 0.7895          | tf.Tensor(0.31722832, shape=(), dtype=float32) | 7     |
| 0.8478     | 0.7411          | tf.Tensor(0.3254477, shape=(), dtype=float32)  | 8     |
| 0.8053     | 0.7027          | tf.Tensor(0.3339088, shape=(), dtype=float32)  | 9     |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3