---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-billsum
  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. -->

# t5-base-billsum

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6188
- Rouge1: 24.2144
- Rouge2: 19.5091
- Rougel: 23.4392
- Rougelsum: 23.6056

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.9236        | 1.0   | 1185 | 1.5895          | 24.1667 | 19.4242 | 23.3539 | 23.5422   |
| 1.7231        | 2.0   | 2370 | 1.5380          | 24.4655 | 19.8009 | 23.6777 | 23.8703   |
| 1.6708        | 3.0   | 3555 | 1.5187          | 24.4628 | 19.816  | 23.6919 | 23.887    |
| 1.7884        | 4.0   | 4740 | 1.6197          | 24.2271 | 19.5246 | 23.4512 | 23.6138   |
| 1.8212        | 5.0   | 5925 | 1.6188          | 24.2144 | 19.5091 | 23.4392 | 23.6056   |


### Framework versions

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