AzSentiment - Azerbaijani Sentiment Analysis

Fine-tuned aLLMA-BASE model for binary sentiment classification of Azerbaijani customer reviews.

Model Performance

Metric Test Score
Accuracy 93.3%
F1 Score 96.2%

Usage

from transformers import pipeline classifier = pipeline("text-classification", model="StartZer0/az-sentiment-bert") classifier("Bu mehsul cox yaxsidir!")

Citation

@inproceedings{isbarov-etal-2024-open, title = "Open foundation models for Azerbaijani language", author = "Isbarov, Jafar and Huseynova, Kavsar and Mammadov, Elvin and Hajili, Mammad and Ataman, Duygu", booktitle = "SIGTURK 2024", year = "2024", url = "https://aclanthology.org/2024.sigturk-1.2" }

Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for StartZer0/az-sentiment-bert

Finetuned
(2)
this model

Dataset used to train StartZer0/az-sentiment-bert