| 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 | |