---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
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. -->

# my_awesome_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: 2.5291
- Rouge1: 0.1405
- Rouge2: 0.0474
- Rougel: 0.116
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.8269          | 0.1252 | 0.0354 | 0.1044 | 0.1046    | 19.0    |
| No log        | 2.0   | 124  | 2.6115          | 0.1344 | 0.0443 | 0.1112 | 0.1114    | 19.0    |
| No log        | 3.0   | 186  | 2.5467          | 0.1396 | 0.0485 | 0.1155 | 0.1155    | 19.0    |
| No log        | 4.0   | 248  | 2.5291          | 0.1405 | 0.0474 | 0.116  | 0.1161    | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2