Model Card for reinforcer/xlm-roberta-se-sentiments-x

Model Details

Base Model: xlm-roberta-base
Model Name: reinforcer/xlm-roberta-se-sentiments-x
Task: Text Classification (Sentiment Analysis)
Languages: Multilingual
Training Parameters:

  • Learning Rate: 3e-05
  • Batch Size: 64
  • Training Epochs: 5

Evaluation Results

Metric Score
Accuracy 85.5%
Precision 85.4%
Recall 85.5%
F1 Score 85.4%

Usage

from transformers import pipeline

# For private repository access:
# analyzer = pipeline(..., token="your_hf_token_here")

analyzer = pipeline(
    "text-classification",
    model="reinforcer/xlm-roberta-se-sentiments-x"
)

result = analyzer("This product delivers excellent performance!")
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