---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: 3_loa
  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. -->

# 3_loa

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the billsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1919
- Rouge1: 0.1973
- Rouge2: 0.1007
- Rougel: 0.1708
- Rougelsum: 0.1711
- 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.2622          | 0.1909 | 0.0921 | 0.1656 | 0.1659    | 19.0    |
| No log        | 2.0   | 248  | 2.2534          | 0.1931 | 0.0956 | 0.1679 | 0.1681    | 19.0    |
| No log        | 3.0   | 372  | 2.2433          | 0.1952 | 0.0967 | 0.1697 | 0.1699    | 19.0    |
| No log        | 4.0   | 496  | 2.2358          | 0.1953 | 0.0978 | 0.1701 | 0.1702    | 19.0    |
| 2.4755        | 5.0   | 620  | 2.2323          | 0.1951 | 0.0981 | 0.1705 | 0.1706    | 19.0    |
| 2.4755        | 6.0   | 744  | 2.2253          | 0.1962 | 0.0996 | 0.1712 | 0.1714    | 19.0    |
| 2.4755        | 7.0   | 868  | 2.2199          | 0.1968 | 0.1003 | 0.1719 | 0.172     | 19.0    |
| 2.4755        | 8.0   | 992  | 2.2170          | 0.1963 | 0.0999 | 0.1717 | 0.1717    | 19.0    |
| 2.4416        | 9.0   | 1116 | 2.2134          | 0.1971 | 0.1002 | 0.1723 | 0.1724    | 19.0    |
| 2.4416        | 10.0  | 1240 | 2.2069          | 0.1967 | 0.0995 | 0.1715 | 0.1716    | 19.0    |
| 2.4416        | 11.0  | 1364 | 2.2053          | 0.1983 | 0.102  | 0.1729 | 0.1732    | 19.0    |
| 2.4416        | 12.0  | 1488 | 2.2034          | 0.1976 | 0.1018 | 0.1722 | 0.1725    | 19.0    |
| 2.4153        | 13.0  | 1612 | 2.1995          | 0.1985 | 0.1019 | 0.1725 | 0.1727    | 19.0    |
| 2.4153        | 14.0  | 1736 | 2.1980          | 0.198  | 0.1016 | 0.1721 | 0.1722    | 19.0    |
| 2.4153        | 15.0  | 1860 | 2.1961          | 0.1983 | 0.1017 | 0.172  | 0.1721    | 19.0    |
| 2.4153        | 16.0  | 1984 | 2.1947          | 0.1977 | 0.1013 | 0.1715 | 0.1717    | 19.0    |
| 2.4069        | 17.0  | 2108 | 2.1936          | 0.1976 | 0.101  | 0.1714 | 0.1716    | 19.0    |
| 2.4069        | 18.0  | 2232 | 2.1925          | 0.1977 | 0.1013 | 0.1713 | 0.1715    | 19.0    |
| 2.4069        | 19.0  | 2356 | 2.1918          | 0.1973 | 0.1007 | 0.1709 | 0.1711    | 19.0    |
| 2.4069        | 20.0  | 2480 | 2.1919          | 0.1973 | 0.1007 | 0.1708 | 0.1711    | 19.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.13.1.post200
- Datasets 2.10.0
- Tokenizers 0.13.2