---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: t5-small
model-index:
- name: nhankins/legal_data_summarizer-finetuned-legal
  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. -->

# nhankins/legal_data_summarizer-finetuned-legal

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: 1.9404
- Epoch: 7

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 248, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 5.3151     | 0     |
| 3.5925     | 1     |
| 2.7920     | 2     |
| 2.4254     | 3     |
| 2.2006     | 4     |
| 2.0480     | 5     |
| 1.9387     | 6     |
| 1.9404     | 7     |


### Framework versions

- Transformers 4.28.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3