End of training

eval_results.txt

@@ -0,0 +1,10 @@
+eval_loss = 0.4243452847003937
+eval_precision = 0.7981651376146789
+eval_recall = 0.9560439560439561
+eval_f1 = 0.87
+eval_accuracy = 0.8884120171673819
+eval_auc = 0.9515554867667544
+eval_runtime = 0.8049
+eval_samples_per_second = 289.482
+eval_steps_per_second = 18.636
+epoch = 6.0

predict_results/test_predictions.csv

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predict_results/test_results.txt

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+test_loss = 0.4243452847003937
+test_precision = 0.7981651376146789
+test_recall = 0.9560439560439561
+test_f1 = 0.87
+test_accuracy = 0.8884120171673819
+test_auc = 0.9515554867667544
+test_runtime = 0.8101
+test_samples_per_second = 287.629
+test_steps_per_second = 18.517

predict_results/test_results_chemical.txt

@@ -0,0 +1,5 @@
+precision = 0.7741935483870968
+recall = 1.0
+f1 = 0.8727272727272727
+accuracy = 0.9263157894736842
+auc = 0.9636150234741784

predict_results/test_results_gene.txt

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+precision = 0.8076923076923077
+recall = 0.9402985074626866
+f1 = 0.8689655172413794
+accuracy = 0.8623188405797102
+auc = 0.9440824048770233

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