thaisum_v2

petchbks01/thaisum_v2

thaisum_v2 is a machine learning model from petchbks01. 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: Apr 4, 2024
Updated: Apr 4, 2024
SHA: 077a9883

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

thaisum_v2

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6483
Rouge1: 0.0419
Rouge2: 0.0194
Rougel: 0.0415
Rougelsum: 0.042
Gen Len: 18.927

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
0.731	1.0	1250	0.6690	0.0278	0.0149	0.0274	0.0277	18.972
0.7022	2.0	2500	0.6529	0.0314	0.0177	0.0313	0.0313	18.924
0.6933	3.0	3750	0.6509	0.0396	0.0169	0.0393	0.0393	18.95
0.6821	4.0	5000	0.6483	0.0419	0.0194	0.0415	0.042	18.927

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 4, 2024
Updated: Apr 4, 2024