billsum

ADSah/billsum

billsum is a machine learning model from ADSah. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 13, 2025
Updated: Jun 13, 2025
SHA: d35f1fe9

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: 2.5670
Rouge1: 0.1445
Rouge2: 0.0521
Rougel: 0.1203
Rougelsum: 0.12
Gen Len: 20.0

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	2.8520	0.1352	0.0404	0.112	0.112	20.0
No log	2.0	124	2.6441	0.1409	0.0492	0.117	0.1172	20.0
No log	3.0	186	2.5832	0.1438	0.0521	0.119	0.119	20.0
No log	4.0	248	2.5670	0.1445	0.0521	0.1203	0.12	20.0

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 13, 2025
Updated: Jun 13, 2025