---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: t5-small
model-index:
- name: T5-Finetuned-legal_summarization
  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-Finetuned-legal_summarization

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: 
- Validation Loss: 
<!-- - Train Rougel: tf.Tensor(0.21532206, shape=(), dtype=float32) -->
- Epoch: 

## 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': 1e-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 |
|:----------:|:---------------:|:----------------------------------------------:|:-----:|
|            |                 | tf.Tensor(0.21532206, shape=(), dtype=float32) |       |


### Framework versions

- Transformers 4.20.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.12.1