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pkuyym
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Jan 11, 2018
| test_avg_acc = eval_test() | ||
| print("pass=%d, training_avg_accuracy=%f, test_avg_acc=%f, elapse=%f" % | ||
| (pass_id, g_acc[1], test_avg_acc, (pass_end - pass_start) / 1000)) | ||
| return g_acc[1] |
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Be careful here, tf.metrics.accuracy will accumulate the acc. Please make sure to reset the accumulating variables each time doing validation. You can refer tensorflow/tensorflow#4814 (comment)
pkuyym
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| test_avg_acc = eval_test() | ||
| print( | ||
| "pass=%d, training_avg_accuracy=%f, test_avg_acc=%f, elapse=%f" | ||
| % (pass_id, g_acc[1], test_avg_acc, |
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Same as above, I think better to reset the accumulating state in the begin of each epoch.
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