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README.md
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The evaluation metrics demonstrate the performance of the fake news detection model. It achieved an accuracy of 0.979, precision of 0.980, recall of 0.979, and an F1 score of 0.979. The runtime for evaluation was 19.63 seconds, with a throughput of approximately 2.394 samples per second and 0.153 steps per second. The model was trained for 5.0 epochs.
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Further details about the dataset, model architecture, and training process can be provided here.
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The evaluation metrics demonstrate the performance of the fake news detection model. It achieved an accuracy of 0.979, precision of 0.980, recall of 0.979, and an F1 score of 0.979. The runtime for evaluation was 19.63 seconds, with a throughput of approximately 2.394 samples per second and 0.153 steps per second. The model was trained for 5.0 epochs.
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