classification_tnews_arg

BiggieW/classification_tnews_arg

classification_tnews_arg is a text classification model from BiggieW. 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 25, 2022
Updated: Dec 27, 2022
SHA: 92b8bfe1

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Model card

From the Hugging Face model README

classification_tnews_arg

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an augmented small subset of TNEWS dataset. It achieves the following results on the evaluation set:

Loss: 1.1794
Accuracy: 0.7133

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: 10
eval_batch_size: 10
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
1.3992	1.0	150	1.2185	0.66
0.1415	2.0	300	1.1324	0.6933
0.0376	3.0	450	1.1794	0.7133

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 25, 2022
Updated: Dec 27, 2022