wyniki_polskie_LSTM.txt
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model LSTM_` : h_dim = 50
('epoch: ', 0, 'V all: ', '86.72', ' Test all: ', '84.96', 'V root: ', '89.17', ' Test root: ', '91.67', ' Train: ', '85.41', ' Train root: ', '89.79')
('epoch: ', 1, 'V all: ', '88.09', ' Test all: ', '86.18', 'V root: ', '86.67', ' Test root: ', '93.33', ' Train: ', '87.33', ' Train root: ', '91.56')
('epoch: ', 2, 'V all: ', '88.85', ' Test all: ', '86.83', 'V root: ', '88.33', ' Test root: ', '90.83', ' Train: ', '88.73', ' Train root: ', '91.04')
('epoch: ', 3, 'V all: ', '88.63', ' Test all: ', '87.24', 'V root: ', '81.67', ' Test root: ', '90.00', ' Train: ', '89.71', ' Train root: ', '89.27')
('epoch: ', 4, 'V all: ', '89.47', ' Test all: ', '87.97', 'V root: ', '86.67', ' Test root: ', '93.33', ' Train: ', '90.65', ' Train root: ', '92.71')
('epoch: ', 5, 'V all: ', '89.31', ' Test all: ', '88.70', 'V root: ', '79.17', ' Test root: ', '90.83', ' Train: ', '91.99', ' Train root: ', '92.60')
('epoch: ', 6, 'V all: ', '89.69', ' Test all: ', '88.70', 'V root: ', '79.17', ' Test root: ', '88.33', ' Train: ', '92.96', ' Train root: ', '92.19')
('epoch: ', 7, 'V all: ', '90.46', ' Test all: ', '88.86', 'V root: ', '86.67', ' Test root: ', '92.50', ' Train: ', '93.38', ' Train root: ', '95.42')
('epoch: ', 8, 'V all: ', '90.23', ' Test all: ', '88.86', 'V root: ', '86.67', ' Test root: ', '90.00', ' Train: ', '94.29', ' Train root: ', '95.52')
('epoch: ', 9, 'V all: ', '90.61', ' Test all: ', '89.27', 'V root: ', '83.33', ' Test root: ', '90.83', ' Train: ', '95.16', ' Train root: ', '96.67')
('epoch: ', 10, 'V all: ', '90.15', ' Test all: ', '89.59', 'V root: ', '83.33', ' Test root: ', '89.17', ' Train: ', '95.83', ' Train root: ', '96.77')
('epoch: ', 11, 'V all: ', '90.69', ' Test all: ', '88.94', 'V root: ', '84.17', ' Test root: ', '88.33', ' Train: ', '96.20', ' Train root: ', '96.15')
('epoch: ', 12, 'V all: ', '90.84', ' Test all: ', '88.94', 'V root: ', '85.00', ' Test root: ', '86.67', ' Train: ', '96.88', ' Train root: ', '97.71')
('epoch: ', 13, 'V all: ', '90.46', ' Test all: ', '89.59', 'V root: ', '82.50', ' Test root: ', '89.17', ' Train: ', '97.13', ' Train root: ', '97.60')
('epoch: ', 14, 'V all: ', '90.69', ' Test all: ', '88.78', 'V root: ', '86.67', ' Test root: ', '88.33', ' Train: ', '97.34', ' Train root: ', '98.75')
('epoch: ', 15, 'V all: ', '90.69', ' Test all: ', '89.19', 'V root: ', '81.67', ' Test root: ', '85.83', ' Train: ', '97.80', ' Train root: ', '97.81')
('epoch: ', 16, 'V all: ', '90.53', ' Test all: ', '89.35', 'V root: ', '82.50', ' Test root: ', '86.67', ' Train: ', '98.15', ' Train root: ', '98.33')
('epoch: ', 17, 'V all: ', '90.61', ' Test all: ', '88.86', 'V root: ', '80.83', ' Test root: ', '86.67', ' Train: ', '98.41', ' Train root: ', '99.06')
('epoch: ', 18, 'V all: ', '90.00', ' Test all: ', '90.00', 'V root: ', '80.00', ' Test root: ', '88.33', ' Train: ', '98.50', ' Train root: ', '98.33')
('epoch: ', 19, 'V all: ', '90.31', ' Test all: ', '88.94', 'V root: ', '77.50', ' Test root: ', '86.67', ' Train: ', '98.60', ' Train root: ', '98.75')
('epoch: ', 20, 'V all: ', '90.53', ' Test all: ', '89.35', 'V root: ', '80.00', ' Test root: ', '86.67', ' Train: ', '98.73', ' Train root: ', '99.69')
('epoch: ', 21, 'V all: ', '90.31', ' Test all: ', '88.86', 'V root: ', '79.17', ' Test root: ', '87.50', ' Train: ', '98.85', ' Train root: ', '99.48')
('epoch: ', 22, 'V all: ', '90.92', ' Test all: ', '89.11', 'V root: ', '81.67', ' Test root: ', '86.67', ' Train: ', '98.83', ' Train root: ', '99.06')
('epoch: ', 23, 'V all: ', '90.23', ' Test all: ', '89.67', 'V root: ', '78.33', ' Test root: ', '87.50', ' Train: ', '98.94', ' Train root: ', '99.27')
('epoch: ', 24, 'V all: ', '90.99', ' Test all: ', '89.59', 'V root: ', '83.33', ' Test root: ', '87.50', ' Train: ', '98.98', ' Train root: ', '99.58')
('epoch: ', 25, 'V all: ', '90.76', ' Test all: ', '89.02', 'V root: ', '83.33', ' Test root: ', '87.50', ' Train: ', '98.99', ' Train root: ', '99.79')
('epoch: ', 26, 'V all: ', '91.07', ' Test all: ', '89.11', 'V root: ', '83.33', ' Test root: ', '87.50', ' Train: ', '99.04', ' Train root: ', '99.48')
('epoch: ', 27, 'V all: ', '91.37', ' Test all: ', '89.67', 'V root: ', '84.17', ' Test root: ', '88.33', ' Train: ', '99.16', ' Train root: ', '99.90')
('epoch: ', 28, 'V all: ', '90.99', ' Test all: ', '89.27', 'V root: ', '81.67', ' Test root: ', '85.00', ' Train: ', '99.14', ' Train root: ', '99.48')
('epoch: ', 29, 'V all: ', '90.84', ' Test all: ', '89.43', 'V root: ', '82.50', ' Test root: ', '87.50', ' Train: ', '99.13', ' Train root: ', '99.90')
('epoch: ', 30, 'V all: ', '90.92', ' Test all: ', '89.67', 'V root: ', '83.33', ' Test root: ', '88.33', ' Train: ', '99.22', ' Train root: ', '99.69')
('epoch: ', 31, 'V all: ', '91.15', ' Test all: ', '89.67', 'V root: ', '83.33', ' Test root: ', '88.33', ' Train: ', '99.26', ' Train root: ', '99.79')
('epoch: ', 32, 'V all: ', '91.22', ' Test all: ', '89.76', 'V root: ', '83.33', ' Test root: ', '88.33', ' Train: ', '99.27', ' Train root: ', '99.90')
('epoch: ', 33, 'V all: ', '91.45', ' Test all: ', '89.76', 'V root: ', '84.17', ' Test root: ', '89.17', ' Train: ', '99.31', ' Train root: ', '100.00')
('epoch: ', 34, 'V all: ', '91.07', ' Test all: ', '89.59', 'V root: ', '84.17', ' Test root: ', '90.00', ' Train: ', '99.29', ' Train root: ', '100.00')
('epoch: ', 35, 'V all: ', '91.30', ' Test all: ', '89.51', 'V root: ', '83.33', ' Test root: ', '86.67', ' Train: ', '99.31', ' Train root: ', '99.90')
('epoch: ', 36, 'V all: ', '90.99', ' Test all: ', '89.27', 'V root: ', '82.50', ' Test root: ', '87.50', ' Train: ', '99.37', ' Train root: ', '99.90')
('epoch: ', 37, 'V all: ', '91.53', ' Test all: ', '89.76', 'V root: ', '85.00', ' Test root: ', '90.00', ' Train: ', '99.31', ' Train root: ', '100.00')
('epoch: ', 38, 'V all: ', '91.07', ' Test all: ', '89.43', 'V root: ', '83.33', ' Test root: ', '86.67', ' Train: ', '99.39', ' Train root: ', '100.00')
('epoch: ', 39, 'V all: ', '91.37', ' Test all: ', '89.84', 'V root: ', '84.17', ' Test root: ', '90.00', ' Train: ', '99.35', ' Train root: ', '100.00')
('Best valid: ', '91.53', ' Test all: ', '89.76', 'Test root: ', '90.00', ' time: ', 994.7734930515289)
model LSTM_` : h_dim = 100
('epoch: ', 0, 'V all: ', '86.87', ' Test all: ', '85.12', 'V root: ', '86.67', ' Test root: ', '89.17', ' Train: ', '86.00', ' Train root: ', '89.17')
('epoch: ', 1, 'V all: ', '88.17', ' Test all: ', '86.02', 'V root: ', '85.00', ' Test root: ', '93.33', ' Train: ', '87.39', ' Train root: ', '90.94')
('epoch: ', 2, 'V all: ', '88.78', ' Test all: ', '87.24', 'V root: ', '86.67', ' Test root: ', '90.83', ' Train: ', '88.73', ' Train root: ', '90.10')
('epoch: ', 3, 'V all: ', '88.85', ' Test all: ', '87.97', 'V root: ', '84.17', ' Test root: ', '90.00', ' Train: ', '89.61', ' Train root: ', '88.85')
('epoch: ', 4, 'V all: ', '89.47', ' Test all: ', '88.70', 'V root: ', '88.33', ' Test root: ', '91.67', ' Train: ', '90.69', ' Train root: ', '92.08')
('epoch: ', 5, 'V all: ', '89.16', ' Test all: ', '87.56', 'V root: ', '83.33', ' Test root: ', '85.00', ' Train: ', '92.03', ' Train root: ', '91.56')
('epoch: ', 6, 'V all: ', '89.47', ' Test all: ', '88.54', 'V root: ', '84.17', ' Test root: ', '88.33', ' Train: ', '92.88', ' Train root: ', '91.56')
('epoch: ', 7, 'V all: ', '90.53', ' Test all: ', '88.94', 'V root: ', '87.50', ' Test root: ', '90.83', ' Train: ', '93.48', ' Train root: ', '95.10')
('epoch: ', 8, 'V all: ', '90.76', ' Test all: ', '89.51', 'V root: ', '86.67', ' Test root: ', '90.00', ' Train: ', '94.64', ' Train root: ', '95.31')
('epoch: ', 9, 'V all: ', '90.76', ' Test all: ', '89.59', 'V root: ', '87.50', ' Test root: ', '90.83', ' Train: ', '94.96', ' Train root: ', '96.25')
('epoch: ', 10, 'V all: ', '90.92', ' Test all: ', '89.02', 'V root: ', '87.50', ' Test root: ', '89.17', ' Train: ', '95.59', ' Train root: ', '96.67')
('epoch: ', 11, 'V all: ', '91.53', ' Test all: ', '88.70', 'V root: ', '89.17', ' Test root: ', '85.83', ' Train: ', '96.15', ' Train root: ', '96.25')
('epoch: ', 12, 'V all: ', '90.69', ' Test all: ', '88.86', 'V root: ', '82.50', ' Test root: ', '86.67', ' Train: ', '97.03', ' Train root: ', '96.98')
('epoch: ', 13, 'V all: ', '91.37', ' Test all: ', '89.19', 'V root: ', '85.83', ' Test root: ', '88.33', ' Train: ', '97.28', ' Train root: ', '97.50')
('epoch: ', 14, 'V all: ', '91.07', ' Test all: ', '88.78', 'V root: ', '89.17', ' Test root: ', '89.17', ' Train: ', '97.34', ' Train root: ', '98.85')
('epoch: ', 15, 'V all: ', '90.92', ' Test all: ', '88.54', 'V root: ', '84.17', ' Test root: ', '85.00', ' Train: ', '97.83', ' Train root: ', '97.08')
('epoch: ', 16, 'V all: ', '90.92', ' Test all: ', '88.13', 'V root: ', '85.00', ' Test root: ', '85.83', ' Train: ', '98.23', ' Train root: ', '98.23')
('epoch: ', 17, 'V all: ', '90.69', ' Test all: ', '88.29', 'V root: ', '83.33', ' Test root: ', '85.83', ' Train: ', '98.49', ' Train root: ', '99.06')
('epoch: ', 18, 'V all: ', '90.99', ' Test all: ', '89.35', 'V root: ', '81.67', ' Test root: ', '87.50', ' Train: ', '98.58', ' Train root: ', '98.54')
('epoch: ', 19, 'V all: ', '91.22', ' Test all: ', '88.62', 'V root: ', '82.50', ' Test root: ', '86.67', ' Train: ', '98.53', ' Train root: ', '98.85')
('epoch: ', 20, 'V all: ', '91.22', ' Test all: ', '88.54', 'V root: ', '84.17', ' Test root: ', '85.83', ' Train: ', '98.85', ' Train root: ', '99.48')
('epoch: ', 21, 'V all: ', '91.15', ' Test all: ', '88.29', 'V root: ', '82.50', ' Test root: ', '85.83', ' Train: ', '98.91', ' Train root: ', '99.69')
('Best valid: ', '91.53', ' Test all: ', '88.70', 'Test root: ', '85.83', ' time: ', 563.8133380413055)
model LSTM_` : h_dim = 150
('epoch: ', 0, 'V all: ', '86.87', ' Test all: ', '85.37', 'V root: ', '85.00', ' Test root: ', '89.17', ' Train: ', '86.18', ' Train root: ', '88.12')
('epoch: ', 1, 'V all: ', '88.02', ' Test all: ', '86.42', 'V root: ', '85.83', ' Test root: ', '92.50', ' Train: ', '87.47', ' Train root: ', '90.00')
('epoch: ', 2, 'V all: ', '88.55', ' Test all: ', '87.32', 'V root: ', '87.50', ' Test root: ', '90.83', ' Train: ', '88.80', ' Train root: ', '90.62')
('epoch: ', 3, 'V all: ', '88.63', ' Test all: ', '87.48', 'V root: ', '84.17', ' Test root: ', '85.83', ' Train: ', '90.03', ' Train root: ', '89.48')
('epoch: ', 4, 'V all: ', '89.01', ' Test all: ', '87.80', 'V root: ', '86.67', ' Test root: ', '89.17', ' Train: ', '90.78', ' Train root: ', '91.98')
('epoch: ', 5, 'V all: ', '88.47', ' Test all: ', '87.64', 'V root: ', '81.67', ' Test root: ', '85.83', ' Train: ', '92.06', ' Train root: ', '91.15')
('epoch: ', 6, 'V all: ', '89.39', ' Test all: ', '88.46', 'V root: ', '80.83', ' Test root: ', '85.83', ' Train: ', '93.12', ' Train root: ', '91.35')
('epoch: ', 7, 'V all: ', '90.23', ' Test all: ', '88.94', 'V root: ', '88.33', ' Test root: ', '90.83', ' Train: ', '93.77', ' Train root: ', '94.58')
('epoch: ', 8, 'V all: ', '90.23', ' Test all: ', '89.02', 'V root: ', '85.00', ' Test root: ', '89.17', ' Train: ', '94.65', ' Train root: ', '95.62')
('epoch: ', 9, 'V all: ', '90.61', ' Test all: ', '89.19', 'V root: ', '85.00', ' Test root: ', '90.00', ' Train: ', '95.05', ' Train root: ', '96.77')
('epoch: ', 10, 'V all: ', '90.69', ' Test all: ', '89.11', 'V root: ', '87.50', ' Test root: ', '89.17', ' Train: ', '95.88', ' Train root: ', '96.46')
('epoch: ', 11, 'V all: ', '91.07', ' Test all: ', '88.94', 'V root: ', '86.67', ' Test root: ', '85.83', ' Train: ', '96.36', ' Train root: ', '96.77')
('epoch: ', 12, 'V all: ', '91.53', ' Test all: ', '89.19', 'V root: ', '86.67', ' Test root: ', '85.00', ' Train: ', '97.05', ' Train root: ', '97.50')
('epoch: ', 13, 'V all: ', '91.45', ' Test all: ', '89.59', 'V root: ', '87.50', ' Test root: ', '89.17', ' Train: ', '97.21', ' Train root: ', '97.81')
('epoch: ', 14, 'V all: ', '90.76', ' Test all: ', '89.02', 'V root: ', '88.33', ' Test root: ', '89.17', ' Train: ', '97.31', ' Train root: ', '98.85')
('epoch: ', 15, 'V all: ', '90.92', ' Test all: ', '88.62', 'V root: ', '86.67', ' Test root: ', '82.50', ' Train: ', '97.85', ' Train root: ', '97.81')
('epoch: ', 16, 'V all: ', '90.76', ' Test all: ', '88.94', 'V root: ', '85.00', ' Test root: ', '84.17', ' Train: ', '98.24', ' Train root: ', '98.44')
('epoch: ', 17, 'V all: ', '90.76', ' Test all: ', '88.46', 'V root: ', '85.00', ' Test root: ', '84.17', ' Train: ', '98.45', ' Train root: ', '98.85')
('epoch: ', 18, 'V all: ', '90.46', ' Test all: ', '89.19', 'V root: ', '82.50', ' Test root: ', '85.00', ' Train: ', '98.48', ' Train root: ', '98.65')
('epoch: ', 19, 'V all: ', '90.92', ' Test all: ', '88.46', 'V root: ', '81.67', ' Test root: ', '83.33', ' Train: ', '98.62', ' Train root: ', '98.75')
('epoch: ', 20, 'V all: ', '90.99', ' Test all: ', '89.67', 'V root: ', '85.83', ' Test root: ', '85.83', ' Train: ', '98.75', ' Train root: ', '99.69')
('epoch: ', 21, 'V all: ', '90.84', ' Test all: ', '88.94', 'V root: ', '84.17', ' Test root: ', '81.67', ' Train: ', '98.89', ' Train root: ', '99.48')
('epoch: ', 22, 'V all: ', '90.99', ' Test all: ', '88.62', 'V root: ', '86.67', ' Test root: ', '84.17', ' Train: ', '98.81', ' Train root: ', '99.17')
('Best valid: ', '91.53', ' Test all: ', '89.19', 'Test root: ', '85.00', ' time: ', 643.6852860450745)