---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bw58_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. -->

# bw58_billsum_model

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1628
- Rouge1: 0.402
- Rouge2: 0.162
- Rougel: 0.286
- Rougelsum: 0.2864
- Gen Len: 99.9879

## 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: 15
- eval_batch_size: 15
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7337        | 1.0   | 66   | 2.2892          | 0.32   | 0.1024 | 0.2173 | 0.2179    | 89.6048 |
| 2.5608        | 2.0   | 132  | 2.1977          | 0.376  | 0.1413 | 0.2618 | 0.262     | 97.7863 |
| 2.5009        | 3.0   | 198  | 2.1694          | 0.4009 | 0.1615 | 0.2846 | 0.285     | 99.9194 |
| 2.4203        | 4.0   | 264  | 2.1628          | 0.402  | 0.162  | 0.286  | 0.2864    | 99.9879 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2