paws_x_m_bert_only_zh

semindan/paws_x_m_bert_only_zh

paws_x_m_bert_only_zh is a text classification model from semindan. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 6, 2022
Updated: Jan 7, 2023
SHA: c0d6996a

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Datasets

paws-x

Model card

From the Hugging Face model README

paws_x_m_bert_only_zh

This model is a fine-tuned version of bert-base-multilingual-cased on the paws-x dataset. It achieves the following results on the evaluation set:

Loss: 0.7979
Accuracy: 0.835

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4747	1.0	386	0.4424	0.807
0.2681	2.0	772	0.4185	0.829
0.1883	3.0	1158	0.4540	0.8305
0.1416	4.0	1544	0.4700	0.8315
0.111	5.0	1930	0.5074	0.8235
0.0848	6.0	2316	0.6054	0.8325
0.0696	7.0	2702	0.6651	0.8335
0.0555	8.0	3088	0.6952	0.8345
0.046	9.0	3474	0.8017	0.8355
0.0405	10.0	3860	0.7979	0.835

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 6, 2022
Updated: Jan 7, 2023