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README.md
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- **Training Environment**: Google Colab, utilizing an A100 GPU, with a training time of approximately 1.5 hours.
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### Model Performance
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The model's effectiveness in anomaly detection is evidenced by its performance on test data. For visual representation of the model's capability to segregate normal vs. anomalous execution traces
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This detailed configuration and performance data is provided to facilitate replication and further experimentation by the community. The use of the Apache-2.0 license allows for both academic and commercial use, promoting wider adoption and potential contributions to the model's development.
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- **Training Environment**: Google Colab, utilizing an A100 GPU, with a training time of approximately 1.5 hours.
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### Model Performance
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The model's effectiveness in anomaly detection is evidenced by its performance on test data. For visual representation of the model's capability to segregate normal vs. anomalous execution traces.
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This detailed configuration and performance data is provided to facilitate replication and further experimentation by the community. The use of the Apache-2.0 license allows for both academic and commercial use, promoting wider adoption and potential contributions to the model's development.
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