my_awesome_billsum_model

hftest2242/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from hftest2242. 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Oct 3, 2023
Updated: Oct 4, 2023
SHA: 031c3b75

Base models

Datasets

billsum

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 2.3574
Rouge1: 0.1993
Rouge2: 0.1009
Rougel: 0.1702
Rougelsum: 0.1704
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: 4
eval_batch_size: 4
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	248	2.5145	0.1394	0.0522	0.1171	0.1172	19.0
No log	2.0	496	2.4057	0.1935	0.0951	0.1642	0.1644	19.0
2.8828	3.0	744	2.3667	0.2004	0.1024	0.1716	0.1717	19.0
2.8828	4.0	992	2.3574	0.1993	0.1009	0.1702	0.1704	19.0

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.14.0

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 3, 2023
Updated: Oct 4, 2023