billsum_model

limaatulya/billsum_model

billsum_model is a machine learning model from limaatulya. 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: Jul 2, 2024
Updated: Jul 2, 2024
SHA: c1f85c55

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

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: 2.4594
Rouge1: 0.1456
Rouge2: 0.0532
Rougel: 0.1211
Rougelsum: 0.1208
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	2.7459	0.1225	0.0329	0.1016	0.1016	19.0
No log	2.0	124	2.5379	0.1332	0.0438	0.1101	0.11	19.0
No log	3.0	186	2.4761	0.1416	0.0497	0.1174	0.1171	19.0
No log	4.0	248	2.4594	0.1456	0.0532	0.1211	0.1208	19.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jul 2, 2024
Updated: Jul 2, 2024