---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jammal7/t5-small-finetuned-Big-Patents
  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. -->

# Jammal7/t5-small-finetuned-Big-Patents

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: 2.2696
- Validation Loss: 2.1579
- Train Rouge1: 22.6969
- Train Rouge2: 12.0848
- Train Rougel: 19.5012
- Train Rougelsum: 20.5564
- Train Gen Len: 19.0
- Epoch: 5

## 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: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.6552     | 2.3220          | 21.3700      | 10.2105      | 17.5338      | 18.8802         | 18.9929       | 0     |
| 2.4395     | 2.2535          | 22.2253      | 11.2822      | 18.7238      | 19.9181         | 19.0          | 1     |
| 2.3755     | 2.2174          | 22.2327      | 11.5575      | 18.8348      | 19.9379         | 19.0          | 2     |
| 2.3329     | 2.1886          | 22.5328      | 11.8225      | 19.2582      | 20.3227         | 19.0          | 3     |
| 2.3004     | 2.1681          | 22.7872      | 12.1642      | 19.5194      | 20.5907         | 19.0          | 4     |
| 2.2696     | 2.1579          | 22.6969      | 12.0848      | 19.5012      | 20.5564         | 19.0          | 5     |


### Framework versions

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