Model save

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f6ffdc8d8b61315119f58eb2b326214ee4afbf47111e833cde16680eda40eec
+oid sha256:d7a194fb60690f87648d8f155cb9c971d74c3d8b5a965c9ef661ad8a1738b12b
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.399336283185840246e-01 4.258849557522123574e-02 2.654867256637168105e-02 4.701327433628318259e-02 1.692477876106194823e-01 4.977876106194690370e-02 2.488938053097345185e-02
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-2.423529411764705974e-02 4.705882352941176058e-03 8.941176470588235378e-03 7.494117647058823328e-01 1.745882352941176552e-01 2.517647058823529321e-02 1.294117647058823546e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.61      0.64      0.62      1808
-    1disgust       0.45      0.42      0.44       478
-       2fear       0.63      0.60      0.62       683
-        3joy       0.74      0.75      0.74      4250
-    4neutral       0.85      0.85      0.85     10652
-    5sadness       0.67      0.66      0.67      1887
-   6surprise       0.51      0.39      0.44       782
+      0anger       0.63      0.61      0.62      1808
+    1disgust       0.48      0.42      0.45       478
+       2fear       0.65      0.60      0.62       683
+        3joy       0.71      0.78      0.74      4250
+    4neutral       0.85      0.84      0.84     10652
+    5sadness       0.66      0.68      0.67      1887
+   6surprise       0.51      0.41      0.45       782
 
     accuracy                           0.76     20540
-   macro avg       0.64      0.62      0.62     20540
+   macro avg       0.64      0.62      0.63     20540
 weighted avg       0.76      0.76      0.76     20540