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  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model%20Hub-yellow)](https://huggingface.co/your-username/your-model-name)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
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- A lightweight TinyBERT model fine-tuned for financial news sentiment analysis, achieving 89% accuracy with <20MB model size and <50ms CPU inference latency.
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  ## Model Details
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  |--------------|--------|
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  | Accuracy | 89.2% |
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  | F1-Score | 0.87 |
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- | Model Size | 14MB |
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  | CPU Latency | 28ms |
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  | Quantized Size | 5.3MB |
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  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model%20Hub-yellow)](https://huggingface.co/your-username/your-model-name)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
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+ A lightweight TinyBERT model fine-tuned for financial news sentiment analysis, achieving 89% accuracy with < 60MB model size and <50ms CPU inference latency.
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  ## Model Details
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  |--------------|--------|
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  | Accuracy | 89.2% |
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  | F1-Score | 0.87 |
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+ | Model Size | 54.84MB|
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  | CPU Latency | 28ms |
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  | Quantized Size | 5.3MB |
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