transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: my_awesome_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. -->

# T5-Small_Text-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: 1.6045
- Rouge1: 0.2389
- Rouge2: 0.1905
- Rougel: 0.2306
- Rougelsum: 0.2307
- Gen Len: 18.9982

## 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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9769        | 1.0   | 1895 | 1.7147          | 0.2325 | 0.1837 | 0.2227 | 0.2227    | 19.0    |
| 1.837         | 2.0   | 3790 | 1.6430          | 0.2369 | 0.1884 | 0.2283 | 0.2283    | 19.0    |
| 1.7849        | 3.0   | 5685 | 1.6137          | 0.2387 | 0.1901 | 0.2304 | 0.2304    | 18.9982 |
| 1.7791        | 4.0   | 7580 | 1.6045          | 0.2389 | 0.1905 | 0.2306 | 0.2307    | 18.9982 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
