---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: flan-t5-base-billsum
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: billsum
      type: billsum
      config: default
      split: train[16000:]
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 14.041
---

<!-- 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. -->

# flan-t5-base-billsum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the billsum dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 14.041
- Rouge2: 6.012
- Rougel: 11.3068
- Rougelsum: 12.0551
- Gen Len: 16.0610

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|:---------:|:-------:|
| 0.0           | 1.0   | 2359  | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 2.0   | 4718  | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 3.0   | 7077  | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 4.0   | 9436  | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 5.0   | 11795 | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 6.0   | 14154 | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 7.0   | 16513 | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |
| 0.0           | 8.0   | 18872 | nan             | 14.041 | 6.012  | 11.3068 | 12.0551   | 16.0610 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3