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flan-t5-small-sentiment
usef310/flan-t5-small-sentiment
flan-t5-small-sentiment is a text classification model from usef310. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Fine-tuned version of google/flan-t5-small for sentiment analysis on IMDB reviews.
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At a glance
- Task
- Text Classification
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025
- SHA
- bfcfd4a0
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Datasets
Model card
From the Hugging Face model README
FLAN-T5 Small - Sentiment Analysis
Fine-tuned version of google/flan-t5-small for sentiment analysis on IMDB reviews.
Model Details
- Base Model: google/flan-t5-small
- Task: Binary sentiment classification (positive/negative)
- Dataset: IMDB movie reviews (300 training samples)
- Accuracy: 85.00%
Usage
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("usef310/flan-t5-small-sentiment")
model = AutoModelForSeq2SeqLM.from_pretrained("usef310/flan-t5-small-sentiment")
text = "This movie was amazing!"
inputs = tokenizer("sentiment: " + text, return_tensors="pt")
outputs = model.generate(**inputs)
prediction = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(prediction) # Output: positive or negative
Training Details
- Epochs: 3
- Batch size: 4 (with gradient accumulation)
- Learning rate: 5e-5
- Optimizer: AdamW
- Task
- Text Classification
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025