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

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3660
- Rouge1: 54.3212
- Rouge2: 34.3078
- Rougel: 43.7536
- Rougelsum: 47.5193

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.6948        | 1.0   | 1250 | 1.4332          | 52.7319 | 33.508  | 42.6688 | 46.3992   |
| 1.4965        | 2.0   | 2500 | 1.3864          | 53.6841 | 33.9189 | 43.3753 | 46.951    |
| 1.4333        | 3.0   | 3750 | 1.3707          | 54.2166 | 34.2285 | 43.5537 | 47.2979   |
| 1.4006        | 4.0   | 5000 | 1.3660          | 54.3212 | 34.3078 | 43.7536 | 47.5193   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1