transformers pytorch t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: billsum_model
  results: []
---

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# billsum_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 25   | 3.8034          | 0.1466 | 0.0502 | 0.1209 | 0.1214    | 19.0    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.13.3
