End of training

eval_results.txt

@@ -0,0 +1,10 @@
+eval_loss = 0.4027480185031891
+eval_precision = 0.9384057971014492
+eval_recall = 0.9055944055944056
+eval_f1 = 0.9217081850533808
+eval_accuracy = 0.9107505070993914
+eval_auc = 0.9577716969021316
+eval_runtime = 1.8908
+eval_samples_per_second = 260.739
+eval_steps_per_second = 16.395
+epoch = 6.0

predict_results/test_predictions.csv

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predict_results/test_results.txt

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+test_loss = 0.4027480185031891
+test_precision = 0.9384057971014492
+test_recall = 0.9055944055944056
+test_f1 = 0.9217081850533808
+test_accuracy = 0.9107505070993914
+test_auc = 0.9577716969021316
+test_runtime = 1.8089
+test_samples_per_second = 272.546
+test_steps_per_second = 17.138

predict_results/test_results_chemical.txt

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+precision = 0.7692307692307693
+recall = 0.8333333333333334
+f1 = 0.8
+accuracy = 0.8947368421052632
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predict_results/test_results_gene.txt

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+precision = 0.9047619047619048
+recall = 0.8507462686567164
+f1 = 0.8769230769230769
+accuracy = 0.8840579710144928
+auc = 0.9409291570317427

predict_results/test_results_snp.txt

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+recall = 0.9333333333333333
+f1 = 0.9528795811518325
+accuracy = 0.9307692307692308
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