Latest version with results

_report.csv

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+precision,recall,f1-score,support
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_report.txt

@@ -0,0 +1,43 @@
+******************** CLASSIFICATION REPORT ALL BIO LABELS ********************
+                     precision    recall  f1-score   support
+
+        B-AdHominem       0.68      0.48      0.57        27
+B-AppealtoAuthority       0.71      0.57      0.63        30
+  B-AppealtoEmotion       0.64      0.54      0.59       120
+       B-FalseCause       0.86      0.67      0.75         9
+    B-Slipperyslope       0.71      0.62      0.67         8
+          B-Slogans       0.00      0.00      0.00         5
+        I-AdHominem       0.85      0.91      0.88       712
+I-AppealtoAuthority       0.86      0.80      0.83      1019
+  I-AppealtoEmotion       0.73      0.83      0.78      2104
+       I-FalseCause       0.91      0.88      0.89       312
+    I-Slipperyslope       0.91      0.91      0.91       324
+          I-Slogans       0.00      0.00      0.00        44
+                  O       0.94      0.92      0.93      7914
+
+           accuracy                           0.89     12628
+          macro avg       0.68      0.63      0.65     12628
+       weighted avg       0.89      0.89      0.88     12628
+******************** CLASSIFICATION REPORT ALL NORMALIZED LABELS ********************
+                   precision    recall  f1-score   support
+
+        AdHominem       0.85      0.90      0.88       739
+AppealtoAuthority       0.86      0.80      0.83      1049
+  AppealtoEmotion       0.74      0.83      0.79      2224
+       FalseCause       0.91      0.87      0.89       321
+                O       0.94      0.92      0.93      7914
+    Slipperyslope       0.90      0.91      0.91       332
+          Slogans       0.00      0.00      0.00        49
+
+         accuracy                           0.89     12628
+        macro avg       0.75      0.75      0.75     12628
+     weighted avg       0.89      0.89      0.89     12628
+******************** CLASSIFICATION REPORT BINARY LABELS ********************
+              precision    recall  f1-score   support
+
+ Not fallacy       0.94      0.92      0.93      7914
+     Fallacy       0.87      0.90      0.89      4714
+
+    accuracy                           0.91     12628
+   macro avg       0.91      0.91      0.91     12628
+weighted avg       0.92      0.91      0.91     12628

config.json

@@ -55,7 +55,7 @@
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.30.2",
+  "transformers_version": "4.28.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 28996

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 3999327531
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+size 2664780757