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README.md
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[](https://huggingface.co/your-username/your-model-name)
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[](https://opensource.org/licenses/MIT)
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A lightweight TinyBERT model fine-tuned for financial news sentiment analysis, achieving 89% accuracy with <
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## Model Details
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| Accuracy | 89.2% |
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| F1-Score | 0.87 |
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| Model Size |
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| CPU Latency | 28ms |
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| Quantized Size | 5.3MB |
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[](https://huggingface.co/your-username/your-model-name)
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[](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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