my_awesome_billsum_model

DJMOON/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from DJMOON. 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

11% 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: May 6, 2024
Updated: May 6, 2024
SHA: a0291b46

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

my_awesome_billsum_model

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: 2.3846
Rouge1: 0.1805
Rouge2: 0.083
Rougel: 0.1518
Rougelsum: 0.1517
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
No log	1.0	62	2.4714	0.1405	0.0487	0.1158	0.1158	19.0
No log	2.0	124	2.4188	0.1606	0.0637	0.133	0.1329	19.0
No log	3.0	186	2.3921	0.176	0.0786	0.1483	0.148	19.0
No log	4.0	248	2.3846	0.1805	0.083	0.1518	0.1517	19.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 6, 2024
Updated: May 6, 2024