Add training results

README.md

@@ -21,35 +21,35 @@ Fine-tuned [myanmar-pos-model](https://huggingface.co/chuuhtetnaing/myanmar-pos-
 
 | Epoch | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
 |-------|---------------|-----------------|-----------|--------|------|----------|
-| 1 | N/A | 0.3730 | 0.5397 | 0.5068 | 0.5227 | 0.9175 |
-| 2 | N/A | 0.1809 | 0.7271 | 0.7958 | 0.7599 | 0.9481 |
-| 3 | N/A | 0.1295 | 0.7815 | 0.8408 | 0.8101 | 0.9637 |
-| 4 | N/A | 0.1015 | 0.7836 | 0.8602 | 0.8201 | 0.9710 |
-| 5 | N/A | 0.0965 | 0.8200 | 0.8943 | 0.8555 | 0.9719 |
-| 6 | N/A | 0.0879 | 0.8299 | 0.9019 | 0.8644 | 0.9738 |
-| 7 | N/A | 0.0819 | 0.8580 | 0.9137 | 0.8849 | 0.9765 |
-| 8 | N/A | 0.0768 | 0.8660 | 0.9148 | 0.8897 | 0.9780 |
-| 9 | N/A | 0.0757 | 0.8784 | 0.9202 | 0.8988 | 0.9784 |
+| 1 | 1.5385 | 0.3730 | 0.5397 | 0.5068 | 0.5227 | 0.9175 |
+| 2 | 0.2673 | 0.1809 | 0.7271 | 0.7958 | 0.7599 | 0.9481 |
+| 3 | 0.1623 | 0.1295 | 0.7815 | 0.8408 | 0.8101 | 0.9637 |
+| 4 | 0.1291 | 0.1015 | 0.7836 | 0.8602 | 0.8201 | 0.9710 |
+| 5 | 0.0992 | 0.0965 | 0.8200 | 0.8943 | 0.8555 | 0.9719 |
+| 6 | 0.0801 | 0.0879 | 0.8299 | 0.9019 | 0.8644 | 0.9738 |
+| 7 | 0.0706 | 0.0819 | 0.8580 | 0.9137 | 0.8849 | 0.9765 |
+| 8 | 0.0636 | 0.0768 | 0.8660 | 0.9148 | 0.8897 | 0.9780 |
+| 9 | 0.0577 | 0.0757 | 0.8784 | 0.9202 | 0.8988 | 0.9784 |
 | 10 | 0.0527 | 0.0760 | 0.8737 | 0.9125 | 0.8927 | 0.9791 |
-| 11 | N/A | 0.0785 | 0.8710 | 0.9236 | 0.8965 | 0.9775 |
-| 12 | N/A | 0.0754 | 0.8830 | 0.9225 | 0.9023 | 0.9794 |
-| 13 | N/A | 0.0754 | 0.8896 | 0.9231 | 0.9061 | 0.9802 |
-| 14 | N/A | 0.0813 | 0.8742 | 0.9274 | 0.9000 | 0.9779 |
-| 15 | N/A | 0.0763 | 0.8952 | 0.9247 | 0.9097 | 0.9812 |
-| 16 | N/A | 0.0841 | 0.8713 | 0.9252 | 0.8974 | 0.9779 |
-| 17 | N/A | 0.0805 | 0.8924 | 0.9258 | 0.9088 | 0.9805 |
-| 18 | N/A | 0.0790 | 0.8854 | 0.9279 | 0.9061 | 0.9802 |
-| 19 | N/A | 0.0801 | 0.8864 | 0.9249 | 0.9052 | 0.9806 |
+| 11 | 0.0506 | 0.0785 | 0.8710 | 0.9236 | 0.8965 | 0.9775 |
+| 12 | 0.0470 | 0.0754 | 0.8830 | 0.9225 | 0.9023 | 0.9794 |
+| 13 | 0.0459 | 0.0754 | 0.8896 | 0.9231 | 0.9061 | 0.9802 |
+| 14 | 0.0441 | 0.0813 | 0.8742 | 0.9274 | 0.9000 | 0.9779 |
+| 15 | 0.0398 | 0.0763 | 0.8952 | 0.9247 | 0.9097 | 0.9812 |
+| 16 | 0.0387 | 0.0841 | 0.8713 | 0.9252 | 0.8974 | 0.9779 |
+| 17 | 0.0344 | 0.0805 | 0.8924 | 0.9258 | 0.9088 | 0.9805 |
+| 18 | 0.0356 | 0.0790 | 0.8854 | 0.9279 | 0.9061 | 0.9802 |
+| 19 | 0.0333 | 0.0801 | 0.8864 | 0.9249 | 0.9052 | 0.9806 |
 | 20 | 0.0326 | 0.0788 | 0.8939 | 0.9254 | 0.9094 | 0.9817 |
-| 21 | N/A | 0.0801 | 0.8863 | 0.9263 | 0.9059 | 0.9808 |
-| 22 | N/A | 0.0815 | 0.8866 | 0.9267 | 0.9062 | 0.9806 |
-| 23 | N/A | 0.0825 | 0.8854 | 0.9281 | 0.9062 | 0.9804 |
-| 24 | N/A | 0.0828 | 0.8874 | 0.9272 | 0.9068 | 0.9807 |
-| 25 | N/A | 0.0826 | 0.8884 | 0.9276 | 0.9076 | 0.9809 |
-| 26 | N/A | 0.0828 | 0.8887 | 0.9272 | 0.9075 | 0.9807 |
-| 27 | N/A | 0.0835 | 0.8855 | 0.9256 | 0.9051 | 0.9803 |
-| 28 | N/A | 0.0837 | 0.8871 | 0.9267 | 0.9065 | 0.9805 |
-| 29 | N/A | 0.0837 | 0.8855 | 0.9272 | 0.9058 | 0.9804 |
+| 21 | 0.0314 | 0.0801 | 0.8863 | 0.9263 | 0.9059 | 0.9808 |
+| 22 | 0.0309 | 0.0815 | 0.8866 | 0.9267 | 0.9062 | 0.9806 |
+| 23 | 0.0310 | 0.0825 | 0.8854 | 0.9281 | 0.9062 | 0.9804 |
+| 24 | 0.0280 | 0.0828 | 0.8874 | 0.9272 | 0.9068 | 0.9807 |
+| 25 | 0.0271 | 0.0826 | 0.8884 | 0.9276 | 0.9076 | 0.9809 |
+| 26 | 0.0290 | 0.0828 | 0.8887 | 0.9272 | 0.9075 | 0.9807 |
+| 27 | 0.0318 | 0.0835 | 0.8855 | 0.9256 | 0.9051 | 0.9803 |
+| 28 | 0.0287 | 0.0837 | 0.8871 | 0.9267 | 0.9065 | 0.9805 |
+| 29 | 0.0274 | 0.0837 | 0.8855 | 0.9272 | 0.9058 | 0.9804 |
 | 30 | 0.0271 | 0.0832 | 0.8875 | 0.9267 | 0.9067 | 0.9806 |
 
 ## Training Details