mjbbillsum

mjbeattie/mjbbillsum

mjbbillsum is a machine learning model from mjbeattie. 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: Mar 28, 2023
Updated: Mar 28, 2023
SHA: 58589b1d

Datasets

billsum

Model card

From the Hugging Face model README

mjbbillsum

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

Loss: 2.4183
Rouge1: 0.1478
Rouge2: 0.0585
Rougel: 0.1231
Rougelsum: 0.123
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	2.7090	0.1274	0.0373	0.1065	0.1064	19.0
No log	2.0	124	2.4964	0.1426	0.0527	0.1181	0.1181	19.0
No log	3.0	186	2.4356	0.1451	0.0566	0.1212	0.1211	19.0
No log	4.0	248	2.4183	0.1478	0.0585	0.1231	0.123	19.0

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.0
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 28, 2023
Updated: Mar 28, 2023