Training in progress, step 6075

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:341d5ce80cab595c8f3b46ce136a7c0617ce9f03355e154761ee2ecdf6ad80e6
+oid sha256:eb6a10dc881dfa378127fad86bb9b01872ff0dbad8dbbb76696813f1f1faf8ff
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.548100242522231218e-01 2.748585286984640136e-02 2.101859337105901546e-02 6.628940986257073065e-02 1.382376717865804461e-01 5.901374292643492281e-02 3.314470493128536532e-02
-3.258785942492012921e-01 3.578274760383386432e-01 7.667731629392970927e-02 4.792332268370606829e-02 7.348242811501597138e-02 1.054313099041533502e-01 1.277955271565495154e-02
-5.122950819672131284e-02 1.844262295081967179e-02 7.684426229508196649e-01 3.688524590163934358e-02 4.508196721311475558e-02 6.352459016393442737e-02 1.639344262295082053e-02
-1.579116983564292712e-02 6.445375443119562243e-04 3.544956493715758963e-03 8.678698034160490238e-01 8.346761198839831863e-02 1.417982597486303585e-02 1.450209474701901445e-02
-5.502392344497607918e-02 4.101161995898838092e-03 6.493506493506493935e-03 1.192754613807245345e-01 6.596035543403964141e-01 8.475734791524265621e-02 7.074504442925495795e-02
-5.538832028898254406e-02 6.020469596628537021e-03 1.264298615291992861e-02 3.552077062010836755e-02 1.089704996989765140e-01 7.664057796508128018e-01 1.505117399157134342e-02
-5.200433369447454018e-02 0.000000000000000000e+00 2.383531960996749730e-02 1.029252437703141870e-01 2.329360780065005410e-01 8.667388949079089799e-02 5.016251354279522845e-01
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
       0anger       0.63      0.65      0.64      1237
-    1disgust       0.63      0.36      0.46       313
-       2fear       0.75      0.77      0.76       488
-        3joy       0.81      0.87      0.84      3103
+    1disgust       0.55      0.45      0.49       313
+       2fear       0.76      0.75      0.75       488
+        3joy       0.83      0.86      0.85      3103
     4neutral       0.69      0.66      0.67      2926
-    5sadness       0.71      0.77      0.74      1661
-   6surprise       0.58      0.50      0.54       923
+    5sadness       0.73      0.76      0.75      1661
+   6surprise       0.55      0.55      0.55       923
 
     accuracy                           0.72     10651
-   macro avg       0.69      0.65      0.66     10651
-weighted avg       0.71      0.72      0.71     10651
+   macro avg       0.68      0.67      0.67     10651
+weighted avg       0.72      0.72      0.72     10651