anilguven/distilbert_tr_turkish_product_reviews

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