---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: billsum_t5-model_summarization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# billsum_t5-model_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:
- Loss: 2.3999
- Rouge1: 0.1896
- Rouge2: 0.0907
- Rougel: 0.1582
- Rougelsum: 0.1581
- Gen Len: 19.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.5068          | 0.1506 | 0.0575 | 0.1233 | 0.1232    | 19.0    |
| No log        | 2.0   | 124  | 2.4498          | 0.1644 | 0.0671 | 0.1359 | 0.1357    | 19.0    |
| No log        | 3.0   | 186  | 2.4207          | 0.1836 | 0.0826 | 0.1521 | 0.1522    | 19.0    |
| No log        | 4.0   | 248  | 2.4052          | 0.1889 | 0.0896 | 0.1574 | 0.1573    | 19.0    |
| No log        | 5.0   | 310  | 2.3999          | 0.1896 | 0.0907 | 0.1582 | 0.1581    | 19.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1