π My First AI Model
β
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
: PositiveLABEL_0
: Negative
π Training Data
Custom CSV dataset with two columns:
text
: The input text.label
: 0 for Negative, 1 for Positive.
π§ͺ Metrics
Metric | Value |
---|---|
Training Loss | ~0.71 |
Epochs | 2 |
π How to use
With π€ 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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