---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: t5-small-summarize
  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. -->

# t5-small-summarize

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.0990
- Validation Loss: 1.9154
- Train Rougel: tf.Tensor(0.2703429, shape=(), dtype=float32)
- Epoch: 1

## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, '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 |
|:----------:|:---------------:|:---------------------------------------------:|:-----:|
| 2.2548     | 1.9580          | tf.Tensor(0.2663067, shape=(), dtype=float32) | 0     |
| 2.0990     | 1.9154          | tf.Tensor(0.2703429, shape=(), dtype=float32) | 1     |


### Framework versions

- Transformers 4.47.0
- TensorFlow 2.17.1
- Datasets 3.3.1
- Tokenizers 0.21.0