test-textsum-t5

mrizalf7/test-textsum-t5

test-textsum-t5 is a machine learning model from mrizalf7. 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: Jun 23, 2023
Updated: Jun 23, 2023
SHA: 4abee688

Datasets

billsum

Model card

From the Hugging Face model README

test-textsum-t5

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

Loss: 2.5625
Rouge1: 0.1356
Rouge2: 0.0464
Rougel: 0.1141
Rougelsum: 0.1139
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	2.8588	0.1248	0.0371	0.1056	0.1056	19.0
No log	2.0	124	2.6426	0.1301	0.0419	0.1086	0.1084	19.0
No log	3.0	186	2.5798	0.1347	0.0466	0.1133	0.1131	19.0
No log	4.0	248	2.5625	0.1356	0.0464	0.1141	0.1139	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 23, 2023
Updated: Jun 23, 2023