wyniki_sst_LSTM.txt
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learning rat: 0.002
model LSTM_1 : h_dim = 50
('epoch: ', 0, 'V all: ', '81.44', ' Test all: ', '81.21', 'V root: ', '39.06', ' Test root: ', '38.73', ' Train: ', '81.51', ' Train root: ', '38.15')
('epoch: ', 1, 'V all: ', '82.77', ' Test all: ', '82.56', 'V root: ', '40.15', ' Test root: ', '42.99', ' Train: ', '83.24', ' Train root: ', '41.84')
('epoch: ', 2, 'V all: ', '83.66', ' Test all: ', '83.37', 'V root: ', '42.96', ' Test root: ', '41.40', ' Train: ', '84.57', ' Train root: ', '45.76')
('epoch: ', 3, 'V all: ', '84.24', ' Test all: ', '83.90', 'V root: ', '44.69', ' Test root: ', '42.04', ' Train: ', '85.10', ' Train root: ', '45.06')
('epoch: ', 4, 'V all: ', '84.52', ' Test all: ', '84.21', 'V root: ', '46.05', ' Test root: ', '44.16', ' Train: ', '85.36', ' Train root: ', '46.69')
('epoch: ', 5, 'V all: ', '84.65', ' Test all: ', '84.66', 'V root: ', '44.32', ' Test root: ', '45.20', ' Train: ', '86.33', ' Train root: ', '48.22')
('epoch: ', 6, 'V all: ', '85.01', ' Test all: ', '84.95', 'V root: ', '44.32', ' Test root: ', '45.43', ' Train: ', '86.81', ' Train root: ', '50.91')
('epoch: ', 7, 'V all: ', '85.36', ' Test all: ', '85.18', 'V root: ', '44.78', ' Test root: ', '45.02', ' Train: ', '87.12', ' Train root: ', '48.62')
('epoch: ', 8, 'V all: ', '85.36', ' Test all: ', '85.13', 'V root: ', '45.14', ' Test root: ', '44.48', ' Train: ', '87.17', ' Train root: ', '49.27')
('epoch: ', 9, 'V all: ', '85.23', ' Test all: ', '85.24', 'V root: ', '41.60', ' Test root: ', '42.17', ' Train: ', '87.17', ' Train root: ', '47.92')
('epoch: ', 10, 'V all: ', '85.53', ' Test all: ', '85.45', 'V root: ', '43.87', ' Test root: ', '42.76', ' Train: ', '87.68', ' Train root: ', '49.80')
('epoch: ', 11, 'V all: ', '85.29', ' Test all: ', '85.41', 'V root: ', '43.96', ' Test root: ', '44.43', ' Train: ', '87.54', ' Train root: ', '51.84')
('epoch: ', 12, 'V all: ', '85.54', ' Test all: ', '85.58', 'V root: ', '43.96', ' Test root: ', '44.93', ' Train: ', '88.58', ' Train root: ', '51.20')
('epoch: ', 13, 'V all: ', '85.44', ' Test all: ', '85.32', 'V root: ', '44.14', ' Test root: ', '44.25', ' Train: ', '88.61', ' Train root: ', '55.24')
('epoch: ', 14, 'V all: ', '85.40', ' Test all: ', '85.22', 'V root: ', '45.14', ' Test root: ', '46.06', ' Train: ', '88.61', ' Train root: ', '53.48')
('epoch: ', 15, 'V all: ', '85.60', ' Test all: ', '85.61', 'V root: ', '42.87', ' Test root: ', '42.90', ' Train: ', '89.00', ' Train root: ', '54.59')
('epoch: ', 16, 'V all: ', '85.59', ' Test all: ', '85.66', 'V root: ', '39.87', ' Test root: ', '40.68', ' Train: ', '88.93', ' Train root: ', '53.60')
('epoch: ', 17, 'V all: ', '85.68', ' Test all: ', '85.75', 'V root: ', '43.78', ' Test root: ', '44.16', ' Train: ', '89.52', ' Train root: ', '56.93')
('epoch: ', 18, 'V all: ', '85.41', ' Test all: ', '85.53', 'V root: ', '43.14', ' Test root: ', '44.98', ' Train: ', '90.02', ' Train root: ', '58.34')
('epoch: ', 19, 'V all: ', '85.61', ' Test all: ', '85.68', 'V root: ', '43.87', ' Test root: ', '42.71', ' Train: ', '90.30', ' Train root: ', '58.46')
('epoch: ', 20, 'V all: ', '85.74', ' Test all: ', '85.67', 'V root: ', '43.32', ' Test root: ', '45.11', ' Train: ', '90.44', ' Train root: ', '60.44')
('epoch: ', 21, 'V all: ', '85.49', ' Test all: ', '85.45', 'V root: ', '41.60', ' Test root: ', '41.27', ' Train: ', '90.74', ' Train root: ', '61.50')
('epoch: ', 22, 'V all: ', '85.32', ' Test all: ', '85.46', 'V root: ', '41.96', ' Test root: ', '42.62', ' Train: ', '91.09', ' Train root: ', '62.84')
('epoch: ', 23, 'V all: ', '85.45', ' Test all: ', '85.66', 'V root: ', '41.60', ' Test root: ', '42.99', ' Train: ', '91.36', ' Train root: ', '66.24')
('epoch: ', 24, 'V all: ', '85.45', ' Test all: ', '85.65', 'V root: ', '42.23', ' Test root: ', '43.71', ' Train: ', '90.91', ' Train root: ', '64.37')
('epoch: ', 25, 'V all: ', '85.44', ' Test all: ', '85.60', 'V root: ', '41.24', ' Test root: ', '42.26', ' Train: ', '91.51', ' Train root: ', '63.08')
('Best valid: ', '85.74', ' Test all: ', '85.67', 'Test root: ', '45.11', ' time: ', 19566.978336811066)
learning rate: 0.05
model LSTM_1 : h_dim = 50
('epoch: ', 0, 'V all: ', '84.07', ' Test all: ', '83.92', 'V root: ', '41.24', ' Test root: ', '39.68', ' Train: ', '85.60', ' Train root: ', '46.23')
('epoch: ', 1, 'V all: ', '84.19', ' Test all: ', '84.19', 'V root: ', '39.87', ' Test root: ', '39.37', ' Train: ', '87.20', ' Train root: ', '49.97')
('epoch: ', 2, 'V all: ', '84.46', ' Test all: ', '84.54', 'V root: ', '43.78', ' Test root: ', '43.26', ' Train: ', '88.77', ' Train root: ', '59.33')
('epoch: ', 3, 'V all: ', '84.89', ' Test all: ', '84.97', 'V root: ', '43.23', ' Test root: ', '40.95', ' Train: ', '90.80', ' Train root: ', '65.89')
('epoch: ', 4, 'V all: ', '84.09', ' Test all: ', '84.29', 'V root: ', '41.51', ' Test root: ', '41.31', ' Train: ', '91.73', ' Train root: ', '71.27')
('epoch: ', 5, 'V all: ', '84.24', ' Test all: ', '84.55', 'V root: ', '39.42', ' Test root: ', '40.27', ' Train: ', '93.32', ' Train root: ', '78.12')
('epoch: ', 6, 'V all: ', '84.70', ' Test all: ', '84.99', 'V root: ', '41.05', ' Test root: ', '40.77', ' Train: ', '93.86', ' Train root: ', '81.10')
('epoch: ', 7, 'V all: ', '84.46', ' Test all: ', '84.57', 'V root: ', '41.51', ' Test root: ', '40.59', ' Train: ', '95.11', ' Train root: ', '84.84')
('epoch: ', 8, 'V all: ', '84.67', ' Test all: ', '84.72', 'V root: ', '39.78', ' Test root: ', '38.69', ' Train: ', '95.89', ' Train root: ', '89.00')
('Best valid: ', '84.89', ' Test all: ', '84.97', 'Test root: ', '40.95', ' time: ', 6692.869230031967)
learning rate: 0.02
model LSTM_1 : h_dim = 100
('epoch: ', 0, 'V all: ', '84.07', ' Test all: ', '83.89', 'V root: ', '42.60', ' Test root: ', '41.67', ' Train: ', '85.10', ' Train root: ', '45.58')
('epoch: ', 1, 'V all: ', '84.20', ' Test all: ', '84.26', 'V root: ', '38.15', ' Test root: ', '38.14', ' Train: ', '86.21', ' Train root: ', '43.24')
('epoch: ', 2, 'V all: ', '85.22', ' Test all: ', '85.38', 'V root: ', '44.23', ' Test root: ', '45.79', ' Train: ', '88.23', ' Train root: ', '57.69')
('epoch: ', 3, 'V all: ', '85.12', ' Test all: ', '85.39', 'V root: ', '41.05', ' Test root: ', '43.85', ' Train: ', '89.16', ' Train root: ', '57.05')
('epoch: ', 4, 'V all: ', '84.85', ' Test all: ', '85.09', 'V root: ', '41.69', ' Test root: ', '43.98', ' Train: ', '90.09', ' Train root: ', '61.85')
('epoch: ', 5, 'V all: ', '84.80', ' Test all: ', '85.03', 'V root: ', '40.87', ' Test root: ', '43.26', ' Train: ', '91.59', ' Train root: ', '67.23')
('epoch: ', 6, 'V all: ', '85.04', ' Test all: ', '85.40', 'V root: ', '38.87', ' Test root: ', '42.17', ' Train: ', '92.35', ' Train root: ', '72.15')
('epoch: ', 7, 'V all: ', '85.31', ' Test all: ', '85.55', 'V root: ', '41.42', ' Test root: ', '43.39', ' Train: ', '93.27', ' Train root: ', '75.60')
('epoch: ', 8, 'V all: ', '84.75', ' Test all: ', '84.69', 'V root: ', '40.51', ' Test root: ', '41.54', ' Train: ', '93.92', ' Train root: ', '78.06')
('epoch: ', 9, 'V all: ', '85.04', ' Test all: ', '85.27', 'V root: ', '39.33', ' Test root: ', '40.81', ' Train: ', '93.54', ' Train root: ', '78.88')
('epoch: ', 10, 'V all: ', '85.21', ' Test all: ', '85.16', 'V root: ', '39.60', ' Test root: ', '37.65', ' Train: ', '94.67', ' Train root: ', '84.08')
('epoch: ', 11, 'V all: ', '84.82', ' Test all: ', '85.03', 'V root: ', '41.42', ' Test root: ', '41.18', ' Train: ', '95.61', ' Train root: ', '88.47')
('epoch: ', 12, 'V all: ', '84.77', ' Test all: ', '84.93', 'V root: ', '40.42', ' Test root: ', '40.90', ' Train: ', '96.55', ' Train root: ', '90.35')
('Best valid: ', '85.31', ' Test all: ', '85.55', 'Test root: ', '43.39', ' time: ', 8537.85798215866)
learning rate: 0.002
model LSTM_1 : h_dim = 100
('epoch: ', 0, 'V all: ', '81.31', ' Test all: ', '80.88', 'V root: ', '39.06', ' Test root: ', '37.51', ' Train: ', '81.26', ' Train root: ', '38.68')
('epoch: ', 1, 'V all: ', '82.66', ' Test all: ', '82.66', 'V root: ', '41.33', ' Test root: ', '43.35', ' Train: ', '83.18', ' Train root: ', '41.84')
('epoch: ', 2, 'V all: ', '83.61', ' Test all: ', '83.49', 'V root: ', '44.60', ' Test root: ', '42.62', ' Train: ', '84.58', ' Train root: ', '45.93')
('epoch: ', 3, 'V all: ', '84.14', ' Test all: ', '84.05', 'V root: ', '42.87', ' Test root: ', '41.72', ' Train: ', '85.26', ' Train root: ', '45.82')
('epoch: ', 4, 'V all: ', '84.44', ' Test all: ', '84.27', 'V root: ', '44.60', ' Test root: ', '44.34', ' Train: ', '85.41', ' Train root: ', '46.17')
('epoch: ', 5, 'V all: ', '84.65', ' Test all: ', '84.75', 'V root: ', '42.87', ' Test root: ', '45.61', ' Train: ', '86.46', ' Train root: ', '48.16')
('epoch: ', 6, 'V all: ', '84.87', ' Test all: ', '84.87', 'V root: ', '42.05', ' Test root: ', '43.53', ' Train: ', '86.56', ' Train root: ', '49.50')
('epoch: ', 7, 'V all: ', '85.58', ' Test all: ', '85.32', 'V root: ', '46.05', ' Test root: ', '45.38', ' Train: ', '87.03', ' Train root: ', '49.09')
('epoch: ', 8, 'V all: ', '85.40', ' Test all: ', '85.15', 'V root: ', '44.05', ' Test root: ', '44.21', ' Train: ', '87.14', ' Train root: ', '48.92')
('epoch: ', 9, 'V all: ', '85.18', ' Test all: ', '85.33', 'V root: ', '41.05', ' Test root: ', '42.35', ' Train: ', '87.23', ' Train root: ', '47.28')
('epoch: ', 10, 'V all: ', '85.53', ' Test all: ', '85.46', 'V root: ', '41.87', ' Test root: ', '41.45', ' Train: ', '87.43', ' Train root: ', '48.68')
('epoch: ', 11, 'V all: ', '85.39', ' Test all: ', '85.57', 'V root: ', '43.96', ' Test root: ', '43.21', ' Train: ', '87.64', ' Train root: ', '51.49')
('epoch: ', 12, 'V all: ', '85.61', ' Test all: ', '85.56', 'V root: ', '44.23', ' Test root: ', '43.80', ' Train: ', '88.52', ' Train root: ', '52.49')
('epoch: ', 13, 'V all: ', '85.08', ' Test all: ', '85.10', 'V root: ', '41.42', ' Test root: ', '44.03', ' Train: ', '88.36', ' Train root: ', '53.42')
('epoch: ', 14, 'V all: ', '85.26', ' Test all: ', '85.10', 'V root: ', '45.23', ' Test root: ', '46.43', ' Train: ', '88.56', ' Train root: ', '54.77')
('epoch: ', 15, 'V all: ', '85.83', ' Test all: ', '85.83', 'V root: ', '43.78', ' Test root: ', '42.58', ' Train: ', '89.22', ' Train root: ', '55.82')
('epoch: ', 16, 'V all: ', '85.77', ' Test all: ', '85.78', 'V root: ', '41.69', ' Test root: ', '41.00', ' Train: ', '88.89', ' Train root: ', '54.53')
('epoch: ', 17, 'V all: ', '85.85', ' Test all: ', '85.80', 'V root: ', '43.51', ' Test root: ', '43.57', ' Train: ', '89.74', ' Train root: ', '58.81')
('epoch: ', 18, 'V all: ', '85.35', ' Test all: ', '85.60', 'V root: ', '41.69', ' Test root: ', '44.89', ' Train: ', '90.10', ' Train root: ', '60.15')
('epoch: ', 19, 'V all: ', '85.73', ' Test all: ', '85.84', 'V root: ', '43.87', ' Test root: ', '43.30', ' Train: ', '90.58', ' Train root: ', '60.09')
('epoch: ', 20, 'V all: ', '85.75', ' Test all: ', '85.80', 'V root: ', '43.87', ' Test root: ', '43.21', ' Train: ', '90.66', ' Train root: ', '62.02')
('epoch: ', 21, 'V all: ', '85.44', ' Test all: ', '85.63', 'V root: ', '41.87', ' Test root: ', '43.71', ' Train: ', '91.20', ' Train root: ', '63.19')
('epoch: ', 22, 'V all: ', '85.65', ' Test all: ', '85.68', 'V root: ', '42.78', ' Test root: ', '42.81', ' Train: ', '91.36', ' Train root: ', '63.72')
('Best valid: ', '85.85', ' Test all: ', '85.80', 'Test root: ', '43.57', ' time: ', 15920.88519692421)