billsum

mrid124/billsum

billsum is a machine learning model from mrid124. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

24% of all-time downloads

All-time downloads

Public

Parameters

60.5M

242 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 26, 2024
Updated: Apr 26, 2024
SHA: a8b519c2

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

billsum

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3402
Rouge1: 0.1948
Rouge2: 0.0962
Rougel: 0.1653
Rougelsum: 0.1652
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.4061	0.1602	0.0637	0.1325	0.1324	19.0
No log	2.0	124	2.3687	0.1901	0.0904	0.1609	0.161	19.0
No log	3.0	186	2.3463	0.1948	0.0959	0.1655	0.1654	19.0
No log	4.0	248	2.3402	0.1948	0.0962	0.1653	0.1652	19.0

Framework versions

Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.19.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 26, 2024
Updated: Apr 26, 2024