 Training results  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | 1.0561        | 0.99  | 99   | 0.8773          | 0.615    | 0.4054    | 0.5584 | 0.4591 | | 0.762         | 1.98  | 198  | 0.6514          | 0.715    | 0.6735    | 0.6672 | 0.6588 | | 0.5661        | 2.97  | 297  | 0.6806          | 0.71     | 0.6764    | 0.6608 | 0.6435 | | 0.3699        | 3.96  | 396  | 0.8358          | 0.71     | 0.6611    | 0.6691 | 0.6570 | | 0.2184        | 4.95  | 495  | 1.1627          | 0.7      | 0.6597    | 0.6337 | 0.6414 | | 0.1743        | 5.94  | 594  | 1.0544          | 0.725    | 0.6831    | 0.6949 | 0.6831 | | 0.098         | 6.93  | 693  | 1.4757          | 0.73     | 0.6885    | 0.6902 | 0.6892 | | 0.0813        | 7.92  | 792  | 1.8146          | 0.73     | 0.6840    | 0.6772 | 0.6800 | | 0.0435        | 8.91  | 891  | 1.6697          | 0.755    | 0.7141    | 0.7127 | 0.7132 | | 0.0209        | 9.9   | 990  | 1.8931          | 0.755    | 0.7102    | 0.7070 | 0.7082 | | 0.0201        | 10.89 | 1089 | 2.1934          | 0.74     | 0.6971    | 0.6866 | 0.6907 | | 0.0095        | 11.88 | 1188 | 2.1389          | 0.75     | 0.7014    | 0.6915 | 0.6932 | | 0.0141        | 12.87 | 1287 | 2.1902          | 0.74     | 0.6942    | 0.6943 | 0.6936 | | 0.0112        | 13.86 | 1386 | 2.5021          | 0.73     | 0.6889    | 0.6669 | 0.6741 | | 0.0054        | 14.85 | 1485 | 2.3840          | 0.73     | 0.6819    | 0.6715 | 0.6746 | | 0.0088        | 15.84 | 1584 | 2.3224          | 0.74     | 0.6909    | 0.6825 | 0.6787 | | 0.003         | 16.83 | 1683 | 2.2641          | 0.75     | 0.7054    | 0.6949 | 0.6974 | | 0.0017        | 17.82 | 1782 | 2.3361          | 0.75     | 0.7077    | 0.6968 | 0.7012 | | 0.0014        | 18.81 | 1881 | 2.3041          | 0.755    | 0.7131    | 0.7009 | 0.7051 | | 0.0083        | 19.8  | 1980 | 2.3369          | 0.75     | 0.7054    | 0.6949 | 0.6974 |   