DGurgurov
/

xlm-r_romanian_sentiment

Text Classification

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Fine-tuned XLM-R Model for romanian Sentiment Analysis

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

Model Details

Model Name: XLM-R Sentiment Analysis
Language: romanian
Fine-tuning Dataset: DGurgurov/romanian_sa

Training Details

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

Performance Metrics

Accuracy: 0.94167
Macro F1: 0.94166
Micro F1: 0.94167

Usage

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

from transformers import AutoTokenizer, AutoModelForSequenceClassification

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

License

[MIT]

Downloads last month: 10

Safetensors

Model size

278M params

Tensor type

F32

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Inference Examples

Text Classification

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