chinese-bert-wwm-ext-text-classification

CeroShrijver/chinese-bert-wwm-ext-text-classification

chinese-bert-wwm-ext-text-classification is a text classification model from CeroShrijver. 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: Jun 6, 2023
Updated: Jun 6, 2023
SHA: e4c6c96e

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Model card

From the Hugging Face model README

chinese-bert-wwm-ext-text-classification

This model is a fine-tuned version of hfl/chinese-bert-wwm-ext on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7035
Accuracy: 0.7813

Test Accuracy: 0.7887

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4871	1.0	1009	0.5111	0.7800
0.3588	2.0	2018	0.5492	0.7831
0.3078	3.0	3027	0.7035	0.7813

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 6, 2023
Updated: Jun 6, 2023