Training in progress, step 29300

adapter_model.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:8a663165d597cdf502c8838aa6d6ecd495015095cf67594be77414e23d373bee
+oid sha256:6d679ecfa53ec1f0b5d6e668e54f398f86ba4c35ea966b375c426ae116c1279f
 size 7409629

cf.txt

@@ -1,7 +1,7 @@
-6.288716814159291957e-01 4.092920353982301002e-02 1.991150442477876079e-02 5.420353982300885054e-02 1.808628318584070693e-01 5.696902654867256471e-02 1.825221238938053159e-02
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-2.235294117647058931e-02 3.058823529411764872e-03 5.411764705882352901e-03 7.642352941176470127e-01 1.689411764705882335e-01 2.423529411764705974e-02 1.176470588235294101e-02
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class_report.txt

@@ -1,13 +1,13 @@
               precision    recall  f1-score   support
 
-      0anger       0.62      0.63      0.62      1808
-    1disgust       0.48      0.38      0.43       478
-       2fear       0.68      0.58      0.62       683
-        3joy       0.72      0.76      0.74      4250
-    4neutral       0.84      0.85      0.85     10652
-    5sadness       0.67      0.66      0.66      1887
-   6surprise       0.51      0.35      0.42       782
+      0anger       0.61      0.63      0.62      1808
+    1disgust       0.44      0.40      0.42       478
+       2fear       0.66      0.59      0.62       683
+        3joy       0.71      0.76      0.74      4250
+    4neutral       0.85      0.84      0.85     10652
+    5sadness       0.66      0.66      0.66      1887
+   6surprise       0.48      0.38      0.43       782
 
-    accuracy                           0.76     20540
-   macro avg       0.64      0.60      0.62     20540
-weighted avg       0.75      0.76      0.75     20540
+    accuracy                           0.75     20540
+   macro avg       0.63      0.61      0.62     20540
+weighted avg       0.75      0.75      0.75     20540