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results
ayeshayasir7543458/results
results is a text classification model from ayeshayasir7543458. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of distilbert-base-uncased on the IMDB movie reviews dataset.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jul 6, 2026
- SHA
- fa561a2e
Try a prompt
Model card
From the Hugging Face model README
IMDB Sentiment Analysis Model
This model is a fine-tuned version of distilbert-base-uncased on the IMDB movie reviews dataset.
Model Details
- Base Model: distilbert-base-uncased
- Dataset: IMDB Movie Reviews
- Task: Sentiment Classification - Positive / Negative
Evaluation Results
- Accuracy: 0.893
- Precision: 0.8699
- Recall: 0.9180
- F1-Score: 0.8933
- Loss: 0.3018
How to use
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="ayeshayasir7543458/results")
print(classifier("This movie was amazing!"))
print(classifier("I hated this movie."))
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 30, 2026
- Updated
- Jul 6, 2026