my_test_billsum_model

thesullivantage/my_test_billsum_model

my_test_billsum_model is a machine learning model from thesullivantage. 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

25% of all-time downloads

All-time downloads

Public

Parameters

60.5M

243 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: Jun 17, 2024
Updated: Jun 17, 2024
SHA: 1e45992f

Base models

Model card

From the Hugging Face model README

my_test_billsum_model

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

Loss: 2.5228
Rouge1: 0.141
Rouge2: 0.0489
Rougel: 0.1157
Rougelsum: 0.1158
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	2.8147	0.1265	0.0394	0.1087	0.1087	19.0
No log	2.0	124	2.6051	0.1355	0.0443	0.1125	0.1125	19.0
No log	3.0	186	2.5396	0.1387	0.0478	0.1145	0.1145	19.0
No log	4.0	248	2.5228	0.141	0.0489	0.1157	0.1158	19.0

Framework versions

Transformers 4.41.2
Pytorch 1.13.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 17, 2024
Updated: Jun 17, 2024