---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TennesseeLegislationBillSummarizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# TennesseeLegislationBillSummarizer

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9393
- Rouge1: 0.5251
- Rouge2: 0.4185
- Rougel: 0.4987
- Rougelsum: 0.4987
- Gen Len: 19.6969

## 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:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.1485        | 1.0   | 15881 | 1.0192          | 0.5167 | 0.4071 | 0.4899 | 0.49      | 19.7533 |
| 1.0839        | 2.0   | 31762 | 0.9754          | 0.5185 | 0.4101 | 0.4918 | 0.4919    | 19.7608 |
| 1.0474        | 3.0   | 47643 | 0.9542          | 0.5228 | 0.4151 | 0.4961 | 0.4961    | 19.7375 |
| 1.0541        | 4.0   | 63524 | 0.9428          | 0.5247 | 0.4177 | 0.4981 | 0.4982    | 19.7032 |
| 1.0252        | 5.0   | 79405 | 0.9393          | 0.5251 | 0.4185 | 0.4987 | 0.4987    | 19.6969 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1