---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: hasan-mr/t5-small-finetuned-summarization-billsum-v1
  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. -->

# hasan-mr/t5-small-finetuned-summarization-billsum-v1

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: 2.5716
- Validation Loss: 2.3842
- Train Rougel: tf.Tensor(0.13416424, shape=(), dtype=float32)
- Epoch: 3

## 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: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Rougel                                    | Epoch |
|:----------:|:---------------:|:-----------------------------------------------:|:-----:|
| 3.3695     | 2.7228          | tf.Tensor(0.10740497, shape=(), dtype=float32)  | 0     |
| 2.8189     | 2.5337          | tf.Tensor(0.11091911, shape=(), dtype=float32)  | 1     |
| 2.6657     | 2.4427          | tf.Tensor(0.124923535, shape=(), dtype=float32) | 2     |
| 2.5716     | 2.3842          | tf.Tensor(0.13416424, shape=(), dtype=float32)  | 3     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.14.0
- Datasets 2.14.5
- Tokenizers 0.14.1