---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Arezo93/my_awesome_billsum_model
  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. -->

# Arezo93/my_awesome_billsum_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.2664
- Validation Loss: 2.9894
- Train Rouge1: 0.1347
- Train Rouge2: 0.0421
- Train Rougel: 0.1112
- Train Rougelsum: 0.1112
- Train Gen Len: 19.0
- Epoch: 2

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 4.2020     | 3.4100          | 0.1359       | 0.0453       | 0.114        | 0.1142          | 19.0          | 0     |
| 3.4714     | 3.1392          | 0.1263       | 0.0381       | 0.1055       | 0.1058          | 19.0          | 1     |
| 3.2664     | 2.9894          | 0.1347       | 0.0421       | 0.1112       | 0.1112          | 19.0          | 2     |


### Framework versions

- Transformers 4.42.4
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1