Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

xlm-r_hebrew_sentiment – AI Model by DGurgurov | AlphaNeural AI

You can deploy this model and start earning money today!

DGurgurov/
xlm-r_hebrew_sentiment

like

0

text-classification

autotrain_compatible

endpoints_compatible

Views

No views yet

Fine-tuned XLM-R Model for hebrew Sentiment Analysis

This is a fine-tuned XLM-R model for sentiment analysis in hebrew.

Model Details

Model Name: XLM-R Sentiment Analysis
Language: hebrew
Fine-tuning Dataset: DGurgurov/hebrew_sa

Training Details

Epochs: 20
Batch Size: 32 (train), 64 (eval)
Optimizer: AdamW
Learning Rate: 5e-5

Performance Metrics

Accuracy: 0.92106
Macro F1: 0.90782
Micro F1: 0.92106

Usage

To use this model, you can load it with the Hugging Face Transformers library:

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("DGurgurov/xlm-r_hebrew_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("DGurgurov/xlm-r_hebrew_sentiment")

License

[MIT]