classification_tnews_scarce

BiggieW/classification_tnews_scarce

classification_tnews_scarce 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: 0d235472

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Model card

From the Hugging Face model README

classification_tnews_scarce

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

Loss: 2.0516
Accuracy: 0.56

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7816	1.0	15	2.6553	0.1467
2.4088	2.0	30	2.4761	0.36
2.0481	3.0	45	2.2860	0.46
1.833	4.0	60	2.1598	0.5
1.6642	5.0	75	2.0751	0.54
1.5506	6.0	90	2.0516	0.56

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