t5_billsum_finetune

bartoszmaj/t5_billsum_finetune

t5_billsum_finetune is a machine learning model from bartoszmaj. 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: Nov 6, 2023
Updated: Nov 6, 2023
SHA: 1c3015d9

Base models

Datasets

billsum

Model card

From the Hugging Face model README

t5_billsum_finetune

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

Loss: 2.0955
Rouge1: 0.1926
Rouge2: 0.0931
Rougel: 0.163
Rougelsum: 0.1635
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: 1e-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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	248	2.1016	0.1917	0.0928	0.1624	0.1628	19.0
No log	2.0	496	2.0985	0.1931	0.0936	0.1635	0.1639	19.0
1.9507	3.0	744	2.0981	0.1926	0.0938	0.1633	0.1637	19.0
1.9507	4.0	992	2.0955	0.1926	0.0931	0.163	0.1635	19.0

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 6, 2023
Updated: Nov 6, 2023