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classification_report_test_id.txt

@@ -0,0 +1,11 @@
+Classification Report � test_id
+======================================================================
+
+                 precision    recall  f1-score   support
+
+Non-Gaslighting     0.7778    0.5072    0.6140        69
+    Gaslighting     0.6421    0.8592    0.7349        71
+
+       accuracy                         0.6857       140
+      macro avg     0.7099    0.6832    0.6745       140
+   weighted avg     0.7090    0.6857    0.6754       140

config.json

@@ -30,7 +30,6 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "tie_word_embeddings": true,
   "transformers_version": "5.0.0",
   "type_vocab_size": 1,

confusion_matrix_test_id.csv

@@ -0,0 +1,3 @@
+,Non-Gaslighting,Gaslighting
+Non-Gaslighting,35,34
+Gaslighting,10,61

evaluation_results.json

@@ -0,0 +1,30 @@
+{
+  "val": {
+    "loss": 0.5729186534881592,
+    "accuracy": 0.7122302158273381,
+    "gaslighting_precision": 0.6744186046511628,
+    "gaslighting_recall": 0.8285714285714286,
+    "gaslighting_f1": 0.7435897435897436,
+    "macro_f1": 0.7078604455653636,
+    "roc_auc": 0.8013457556935817,
+    "mcc": 0.4352061380774908,
+    "runtime": 12.9706,
+    "samples_per_second": 10.717,
+    "steps_per_second": 0.694,
+    "epoch": 6.0
+  },
+  "test_id": {
+    "loss": 0.5732606053352356,
+    "accuracy": 0.6857142857142857,
+    "gaslighting_precision": 0.6421052631578947,
+    "gaslighting_recall": 0.8591549295774648,
+    "gaslighting_f1": 0.7349397590361446,
+    "macro_f1": 0.6744874233777214,
+    "roc_auc": 0.8124106960604205,
+    "mcc": 0.39223168501466216,
+    "runtime": 13.2193,
+    "samples_per_second": 10.591,
+    "steps_per_second": 0.681,
+    "epoch": 6.0
+  }
+}

model.safetensors

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tokenizer.json

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training_args.bin

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