anilguven
/

distilbert_tr_turkish_product_reviews

Text Classification

text-embeddings-inference

Model card Files Files and versions

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: 8

Safetensors

Model size

68.1M params

Tensor type

F32

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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, 2024 • 1