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Fine-tuned XLM-R Model for slovak Sentiment Analysis

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

Model Details

  • Model Name: XLM-R Sentiment Analysis
  • Language: slovak
  • Fine-tuning Dataset: DGurgurov/slovak_sa

Training Details

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

Performance Metrics

  • Accuracy: 0.96833
  • Macro F1: 0.93172
  • Micro F1: 0.96833

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_slovak_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("DGurgurov/xlm-r_slovak_sentiment")

License

[MIT]