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🚀 My First AI Model

✅ This is my first text classification model, fine-tuned using distilbert-base-uncased on a binary sentiment dataset.

  • Task: Sentiment Analysis (Positive/Negative)
  • Labels:
    • LABEL_1: Positive
    • LABEL_0: Negative

📊 Training Data

Custom CSV dataset with two columns:

  • text: The input text.
  • label: 0 for Negative, 1 for Positive.

🧪 Metrics

Metric Value
Training Loss ~0.71
Epochs 2

🚀 How to use

With 🤗 transformers (locally):

from transformers import pipeline

clf = pipeline("text-classification", model="BinaryMans/my-first-ai-model")
clf("I love this product!")
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