rob-large-krmath2

madatnlp/rob-large-krmath2

rob-large-krmath2 is a text classification model from madatnlp. Use it when you need a label for a piece of text. It is set up for transformers.

probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Jun 4, 2022
Updated: Jun 4, 2022
SHA: 4f4a87e4

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Model card

From the Hugging Face model README

madatnlp/rob-large-krmath2

This model is a fine-tuned version of klue/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0707
Validation Loss: 0.2571
Epoch: 17

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:

optimizer: {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.7479	1.5215	0
1.1286	0.7513	1
1.2498	0.9242	2
1.0213	0.7140	3
0.8002	0.6080	4
0.5895	0.3721	5
0.4699	0.3392	6
0.3064	0.2599	7
0.2803	0.2360	8
0.2162	0.3075	9
0.1878	0.2652	10
0.1635	0.1618	11
0.1342	0.1061	12
0.1058	0.2906	13
0.0869	0.3535	14
0.0704	0.2090	15
0.0608	0.1777	16
0.0707	0.2571	17

Framework versions

Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Jun 4, 2022
Updated: Jun 4, 2022