---
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: nan
- Rouge1: 0.0776
- Rouge2: 0.0197
- Rougel: 0.0639
- Rougelsum: 0.0638
- Gen Len: 12.879

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 989  | nan             | 0.0776 | 0.0197 | 0.0639 | 0.0638    | 12.879  |
| 0.0           | 2.0   | 1978 | nan             | 0.0776 | 0.0197 | 0.0639 | 0.0638    | 12.879  |
| 0.0           | 3.0   | 2967 | nan             | 0.0776 | 0.0197 | 0.0639 | 0.0638    | 12.879  |
| 0.0           | 4.0   | 3956 | nan             | 0.0776 | 0.0197 | 0.0639 | 0.0638    | 12.879  |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2