thucnews

shed-e/thucnews

thucnews is a text classification model from shed-e. 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: Sep 25, 2022
Updated: Sep 25, 2022
SHA: bbc69108

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Datasets

load_train

Model card

From the Hugging Face model README

thucnews

This model is a fine-tuned version of hfl/rbt6 on the load_train dataset. It achieves the following results on the evaluation set:

Loss: 0.3191
Accuracy: 0.9433

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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2038	1.0	704	0.2018	0.9332
0.1403	2.0	1408	0.1829	0.9406
0.0894	3.0	2112	0.2073	0.9419
0.056	4.0	2816	0.2228	0.9408
0.0321	5.0	3520	0.2689	0.9417
0.0209	6.0	4224	0.2819	0.9431
0.0099	7.0	4928	0.3131	0.9421
0.0057	8.0	5632	0.3191	0.9433

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

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