File size: 3,975 Bytes
88abc4c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
2020-06-10 14:04:42.034 | INFO | __main__:run:56 - Bert Model: /home/TILDE.LV/gaurish.thakkar/experiments/bert-twitter-language-pretraining/models/LatvianTwittermBERT-v1
2020-06-10 14:04:42.034 | INFO | __main__:run:57 - Current date and time :2020-06-10 14:04:42
2020-06-10 14:04:42.034 | INFO | __main__:run:59 - Train file: /home/TILDE.LV/gaurish.thakkar/experiments/bert-twitter-fine-tunning/data/gold.prep.train.csv
2020-06-10 14:04:42.035 | INFO | __main__:run:60 - Valid file: /home/TILDE.LV/gaurish.thakkar/experiments/bert-twitter-fine-tunning/data/gold.prep.dev.csv
2020-06-10 14:04:42.035 | INFO | __main__:run:61 - Test file: /home/TILDE.LV/gaurish.thakkar/experiments/bert-twitter-fine-tunning/data/eval.prep.test.csv
2020-06-10 14:04:42.035 | INFO | __main__:run:63 - Train size : 5770.0000
2020-06-10 14:04:42.035 | INFO | __main__:run:64 - Valid size : 1000.0000
2020-06-10 14:04:42.036 | INFO | __main__:run:65 - Test size : 1000.0000
2020-06-10 14:05:50.046 | INFO | __main__:run:126 - epoch=0
2020-06-10 14:08:05.939 | INFO | __main__:run:138 - val_MCC_Score = 0.532
2020-06-10 14:08:12.146 | INFO | __main__:run:143 - test_MCC_Score = 0.619
2020-06-10 14:08:12.146 | INFO | __main__:run:146 - train_loss=0.8304, val_loss=0.7065, test_loss=0.6115
2020-06-10 14:08:12.146 | INFO | __main__:run:152 - train_acc=0.631, val_acc=0.703, test_acc=0.750
2020-06-10 14:08:12.147 | INFO | __main__:run:157 - val_mcc=0.703, test_mcc=0.750
2020-06-10 14:08:12.148 | INFO | __main__:run:162 - Accuracy Score = 0.750
2020-06-10 14:10:17.045 | INFO | __main__:run:126 - epoch=1
2020-06-10 14:12:30.720 | INFO | __main__:run:138 - val_MCC_Score = 0.549
2020-06-10 14:12:36.984 | INFO | __main__:run:143 - test_MCC_Score = 0.642
2020-06-10 14:12:36.985 | INFO | __main__:run:146 - train_loss=0.5790, val_loss=0.7066, test_loss=0.5895
2020-06-10 14:12:36.985 | INFO | __main__:run:152 - train_acc=0.767, val_acc=0.712, test_acc=0.772
2020-06-10 14:12:36.986 | INFO | __main__:run:157 - val_mcc=0.712, test_mcc=0.772
2020-06-10 14:12:36.987 | INFO | __main__:run:162 - Accuracy Score = 0.772
2020-06-10 14:13:41.331 | INFO | __main__:run:126 - epoch=2
2020-06-10 14:15:56.549 | INFO | __main__:run:138 - val_MCC_Score = 0.536
2020-06-10 14:16:02.937 | INFO | __main__:run:143 - test_MCC_Score = 0.566
2020-06-10 14:16:02.938 | INFO | __main__:run:146 - train_loss=0.3538, val_loss=0.8685, test_loss=0.8239
2020-06-10 14:16:02.939 | INFO | __main__:run:152 - train_acc=0.872, val_acc=0.700, test_acc=0.705
2020-06-10 14:16:02.940 | INFO | __main__:run:157 - val_mcc=0.700, test_mcc=0.705
2020-06-10 14:16:02.943 | INFO | __main__:run:162 - Accuracy Score = 0.705
2020-06-10 14:16:02.943 | INFO | __main__:run:126 - epoch=3
2020-06-10 14:18:20.070 | INFO | __main__:run:138 - val_MCC_Score = 0.530
2020-06-10 14:18:26.314 | INFO | __main__:run:143 - test_MCC_Score = 0.601
2020-06-10 14:18:26.314 | INFO | __main__:run:146 - train_loss=0.1762, val_loss=1.0960, test_loss=0.9539
2020-06-10 14:18:26.315 | INFO | __main__:run:152 - train_acc=0.944, val_acc=0.697, test_acc=0.736
2020-06-10 14:18:26.316 | INFO | __main__:run:157 - val_mcc=0.697, test_mcc=0.736
2020-06-10 14:18:26.317 | INFO | __main__:run:162 - Accuracy Score = 0.736
2020-06-10 14:18:26.318 | INFO | __main__:run:126 - epoch=4
2020-06-10 14:20:42.206 | INFO | __main__:run:138 - val_MCC_Score = 0.530
2020-06-10 14:20:48.436 | INFO | __main__:run:143 - test_MCC_Score = 0.591
2020-06-10 14:20:48.436 | INFO | __main__:run:146 - train_loss=0.0913, val_loss=1.1904, test_loss=1.0588
2020-06-10 14:20:48.437 | INFO | __main__:run:152 - train_acc=0.974, val_acc=0.698, test_acc=0.731
2020-06-10 14:20:48.438 | INFO | __main__:run:157 - val_mcc=0.698, test_mcc=0.731
2020-06-10 14:20:48.440 | INFO | __main__:run:162 - Accuracy Score = 0.731
|