classification_chnsenticorp_scarce

BiggieW/classification_chnsenticorp_scarce

classification_chnsenticorp_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: Jan 5, 2023
Updated: Jan 6, 2023
SHA: 3157c910

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Model card

From the Hugging Face model README

classification_chnsenticorp_scarce

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

Loss: 0.7194
Accuracy: 0.5

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7839	1.0	2	0.7446	0.4
0.6498	2.0	4	0.7266	0.45
0.5516	3.0	6	0.7208	0.35
0.5203	4.0	8	0.7190	0.35
0.4611	5.0	10	0.7162	0.45
0.4248	6.0	12	0.7178	0.45
0.3504	7.0	14	0.7153	0.45
0.3418	8.0	16	0.7170	0.5
0.315	9.0	18	0.7192	0.5
0.3125	10.0	20	0.7194	0.5

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: Jan 5, 2023
Updated: Jan 6, 2023