my_awesome_billsum_model

ahana/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from ahana. 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

13% of all-time downloads

All-time downloads

Public

Repo size

3.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 31, 2023
Updated: Mar 31, 2023
SHA: 8f78f0cd

Model card

From the Hugging Face model README

my_awesome_billsum_model

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1531
Rouge1: 0.1799
Rouge2: 0.1086
Rougel: 0.1599
Rougelsum: 0.1598
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.2365	1.0	1635	0.1723	0.1782	0.1055	0.1575	0.1575	19.0
0.209	2.0	3270	0.1596	0.1787	0.1067	0.1584	0.1584	19.0
0.1986	3.0	4905	0.1545	0.1794	0.1079	0.1593	0.1593	19.0
0.1917	4.0	6540	0.1531	0.1799	0.1086	0.1599	0.1598	19.0

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 31, 2023
Updated: Mar 31, 2023