tvcg_entity_classify

Yamei/tvcg_entity_classify

tvcg_entity_classify is a text classification model from Yamei. 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: Jul 25, 2023
Updated: Jul 25, 2023
SHA: 6b757f2b

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Base models

Model card

From the Hugging Face model README

tvcg_entity_classify

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8480
Accuracy: 0.7300

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6871	1.0	2956	0.6645	0.7416
0.5965	2.0	5912	0.6812	0.7419
0.4933	3.0	8868	0.6970	0.7455
0.4167	4.0	11824	0.7904	0.7371
0.3254	5.0	14780	0.8480	0.7300

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 25, 2023
Updated: Jul 25, 2023