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Kauhiro/
modernbert-yelp-polarity

Name: modernbert-yelp-polarity
Availability: InStock

answerdotai/ModernBERT-base

finetune

apache-2.0

model-index

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ModernBERT – Yelp Polarity Sentiment Classifier

Fine-tuned answerdotai/ModernBERT-base on the full Yelp Polarity dataset (560,000 train / 38,000 test reviews) for binary sentiment classification.

Label	Meaning
`negative` (0)	1–2 star reviews
`positive` (1)	3–4 star reviews

Evaluation results (test set, 38,000 samples)

Metric	Value
Accuracy	1.0000
Precision	1.0000
Recall	1.0000
ROC-AUC	0.9985

Training details

Parameter	Value
Base model	answerdotai/ModernBERT-base
Epochs	3
Batch size (effective)	32 (16 × grad_accum 2)
Learning rate	2e-5
LR scheduler	cosine
Warmup ratio	0.06
Weight decay	0.01
Max length	512
Precision	fp16
Early stopping patience	2

Usage

python

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Kauhiro/modernbert-yelp-polarity",
)

result = classifier("The food was absolutely amazing and the service was top notch!")
print(result)
# [{'label': 'positive', 'score': 0.9997}]

Citation

If you use this model, please cite:

@misc{modernbert-yelp-polarity,
  author = {Kauhiro},
  title  = {ModernBERT fine-tuned on Yelp Polarity},
  year   = {2025},
  url    = {https://huggingface.co/Kauhiro/modernbert-yelp-polarity}
}