---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_billsum_model
  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. -->

# my_billsum_model

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: 2.5348
- Rouge1: 0.1375
- Rouge2: 0.05
- Rougel: 0.1161
- Rougelsum: 0.1161
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 55   | 2.8601          | 0.1257 | 0.0339 | 0.1051 | 0.1051    | 19.0    |
| No log        | 2.0   | 110  | 2.6251          | 0.1302 | 0.0403 | 0.1095 | 0.1095    | 19.0    |
| No log        | 3.0   | 165  | 2.5539          | 0.1359 | 0.0476 | 0.1146 | 0.1146    | 19.0    |
| No log        | 4.0   | 220  | 2.5348          | 0.1375 | 0.05   | 0.1161 | 0.1161    | 19.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3