2_smtg

eschorn/2_smtg

2_smtg is a machine learning model from eschorn. 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: Jul 18, 2023
Updated: Jul 19, 2023
SHA: 77f96241

Datasets

billsum

Model card

From the Hugging Face model README

2_smtg

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

Loss: 1.9346
Rouge1: 0.1982
Rouge2: 0.1052
Rougel: 0.1709
Rougelsum: 0.1711
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	124	2.2154	0.1881	0.0892	0.1571	0.157	18.996
No log	2.0	248	2.1455	0.2003	0.1039	0.1695	0.1696	19.0
No log	3.0	372	2.0963	0.2011	0.1043	0.1706	0.1706	19.0
No log	4.0	496	2.0696	0.2014	0.105	0.1708	0.1708	19.0
2.4198	5.0	620	2.0437	0.1991	0.1016	0.1693	0.1694	19.0
2.4198	6.0	744	2.0256	0.1983	0.1016	0.1694	0.1695	19.0
2.4198	7.0	868	2.0109	0.2003	0.1044	0.1702	0.1705	19.0
2.4198	8.0	992	1.9969	0.1981	0.1025	0.1692	0.1694	19.0
2.2056	9.0	1116	1.9849	0.1984	0.103	0.1696	0.1699	19.0
2.2056	10.0	1240	1.9738	0.1985	0.1032	0.1702	0.1704	19.0
2.2056	11.0	1364	1.9661	0.1976	0.1029	0.1694	0.1697	19.0
2.2056	12.0	1488	1.9591	0.1986	0.1038	0.1704	0.1706	19.0
2.1209	13.0	1612	1.9535	0.1994	0.1045	0.1708	0.1709	19.0
2.1209	14.0	1736	1.9486	0.1986	0.1047	0.1706	0.1708	19.0
2.1209	15.0	1860	1.9440	0.1988	0.1053	0.1709	0.1711	19.0
2.1209	16.0	1984	1.9406	0.1983	0.1057	0.1708	0.1709	19.0
2.0754	17.0	2108	1.9378	0.199	0.1062	0.1712	0.1712	19.0
2.0754	18.0	2232	1.9361	0.1986	0.1057	0.1713	0.1714	19.0
2.0754	19.0	2356	1.9348	0.1986	0.1056	0.1712	0.1713	19.0
2.0754	20.0	2480	1.9346	0.1982	0.1052	0.1709	0.1711	19.0

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.10.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jul 18, 2023
Updated: Jul 19, 2023