 Training results  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall | Mae    | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:| | 0.3366        | 1.0   | 1407  | 0.3297          | 0.8630   | 0.6862 | 0.7886    | 0.6073 | 0.1370 | | 0.2371        | 2.0   | 2814  | 0.3423          | 0.8802   | 0.7468 | 0.7802    | 0.7161 | 0.1198 | | 0.1714        | 3.0   | 4221  | 0.4373          | 0.8749   | 0.7351 | 0.7693    | 0.7039 | 0.1251 | | 0.1161        | 4.0   | 5628  | 0.5584          | 0.8699   | 0.7525 | 0.7089    | 0.8019 | 0.1301 | | 0.0646        | 5.0   | 7035  | 0.7005          | 0.8788   | 0.7357 | 0.7961    | 0.6837 | 0.1212 | | 0.0539        | 6.0   | 8442  | 0.7866          | 0.8710   | 0.7465 | 0.7243    | 0.7702 | 0.1290 | | 0.0336        | 7.0   | 9849  | 0.8967          | 0.8783   | 0.7396 | 0.7828    | 0.7010 | 0.1217 | | 0.0202        | 8.0   | 11256 | 0.9053          | 0.8810   | 0.7472 | 0.7845    | 0.7133 | 0.1190 | | 0.018         | 9.0   | 12663 | 0.9785          | 0.8792   | 0.7478 | 0.7706    | 0.7262 | 0.1208 | | 0.0069        | 10.0  | 14070 | 0.9917          | 0.8808   | 0.7543 | 0.7669    | 0.7421 | 0.1192 |   