anilguven
/

distilbert_tr_turkish_product_reviews

Text Classification

Inference Endpoints

Model card Files Files and versions Community

Edit model card

Model Info

This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset.

LABEL_0: negative review
LABEL_1: positive review

Model Sources

Dataset: https://huggingface.co/datasets/anilguven/turkish_product_reviews_sentiment
Demo-Coding [optional]: https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models
Finetuned from model [optional]: https://huggingface.co/dbmdz/distilbert-base-turkish-cased

Preprocessing

You must apply removing stopwords, stemming, or lemmatization process for Turkish.

Results

auprc = 0.9720155023202002
auroc = 0.9743030995629336
eval_loss = 0.3418520176025824
fn = 206
fp = 226
mcc = 0.8420573290530216
tn = 2474
tp = 2565
Accuracy: %92.10

Downloads last month: 1

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train anilguven/distilbert_tr_turkish_product_reviews

Collection including anilguven/distilbert_tr_turkish_product_reviews

Text Classification Models for Review Task

12 items • Updated Apr 19