product_classifier_split_url_nodigit_all

sianbru/product_classifier_split_url_nodigit_all

product_classifier_split_url_nodigit_all is a text classification model from sianbru. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Sep 19, 2023
Updated: Sep 20, 2023
SHA: 1c95522d

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Base models

Model card

From the Hugging Face model README

product_classifier_split_url_nodigit_all

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

Loss: 0.1833
Accuracy: 0.9734
F1: 0.9732
Precision: 0.9731
Recall: 0.9734

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: 32
eval_batch_size: 32
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	F1	Precision	Recall
0.0385	1.0	1300	0.1880	0.9666	0.9663	0.9665	0.9666
0.0198	2.0	2600	0.1707	0.9718	0.9718	0.9719	0.9718
0.0083	3.0	3900	0.1833	0.9734	0.9732	0.9731	0.9734

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Sep 19, 2023
Updated: Sep 20, 2023