Crystalcareai
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README.md
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@@ -38,15 +38,17 @@ The model's deep understanding of SEC filings and related financial data makes i
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To ensure the robustness and effectiveness of Llama-3-SEC, the model has undergone rigorous evaluation on both domain-specific and general benchmarks. Key evaluation metrics include:
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The evaluation results demonstrate significant improvements in domain-specific performance while maintaining strong general capabilities, thanks to the use of advanced CPT and model merging techniques.
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To ensure the robustness and effectiveness of Llama-3-SEC, the model has undergone rigorous evaluation on both domain-specific and general benchmarks. Key evaluation metrics include:
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<img src="https://i.ibb.co/xGHRfLf/Screenshot-2024-06-11-at-10-23-59-PM.png" alt="Domain Specific Perplexity of Model Variants" width="100%">
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<div style="flex: 1 1 400px; margin: 10px;">
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<img src="https://i.ibb.co/2v6PdDx/Screenshot-2024-06-11-at-10-25-03-PM.png" alt="Domain Specific Evaluations of Model Variants" width="100%">
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<img src="https://i.ibb.co/K5d0wMh/Screenshot-2024-06-11-at-10-23-18-PM.png" alt="General Evaluations of Model Variants" width="80%">
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The evaluation results demonstrate significant improvements in domain-specific performance while maintaining strong general capabilities, thanks to the use of advanced CPT and model merging techniques.
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