Modelpublic

DGurgurov/xlm-r_hebrew_sentiment

sourceHugging Faceupdated 2y agoView on Hugging Face

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Model Card

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]