Downloads · 30 days
2
5% of all-time downloads
my-sentiment-analyzer
kashafEjaz50/my-sentiment-analyzer
my-sentiment-analyzer is a machine learning model from kashafEjaz50. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
--- language: en license: apache-2.0 tags: - sentiment-analysis - text-classification - distilbert datasets: - imdb metrics: - accuracy - f1 pipelinetag: text-classification widget: - text: "I absolutely loved this mo…
All-time downloads
44
Public
Parameters
67M
268 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026
- SHA
- f1d1e05a
Model card
From the Hugging Face model README
language: en license: apache-2.0 tags:
- sentiment-analysis
- text-classification
- distilbert datasets:
- imdb metrics:
- accuracy
- f1 pipeline_tag: text-classification widget:
- text: "I absolutely loved this movie, it was amazing!"
- text: "This was the worst experience ever."
my-sentiment-analyzer
Fine-tuned DistilBERT model for sentiment analysis (positive / negative).
Training Data
IMDB dataset (25,000 train / 25,000 test)
Model Details
- Base model: distilbert-base-uncased
- Epochs: 2
- Learning rate: 2e-5
- Max length: 128
Evaluation Results
| Metric | Score |
|---|---|
| Accuracy | 0.874 |
| Precision | 0.864 |
| Recall | 0.888 |
| F1 | 0.875 |
Limitations
- English only
- Binary classification only
- Movie-review domain only
Usage
from transformers import pipeline
classifier = pipeline( "sentiment-analysis", model="kashafEjaz50/my-sentiment-analyzer" )
print(classifier("This movie was fantastic!"))
- Type
- distilbert
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026