Upload BertForSequenceClassification

README.md

@@ -1,9 +1,9 @@
 ---
 base_model: PureFighter/autotrain-topic-classification
-tags:
-- generated_from_trainer
 metrics:
 - accuracy
+tags:
+- generated_from_trainer
 model-index:
 - name: arabertv2-topic-classification-finetuned
   results: []

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "PureFighter/autotrain-topic-classification",
+  "_name_or_path": "PureFighter/arabertv2-topic-classification-finetuned",
   "_num_labels": 6,
   "architectures": [
     "BertForSequenceClassification"
@@ -11,30 +11,30 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7",
-    "8": "LABEL_8",
-    "9": "LABEL_9"
+    "0": "culture",
+    "1": "economy",
+    "2": "health",
+    "3": "international",
+    "4": "local",
+    "5": "politics",
+    "6": "science",
+    "7": "sports",
+    "8": "technology",
+    "9": "war"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6,
-    "LABEL_7": 7,
-    "LABEL_8": 8,
-    "LABEL_9": 9
+    "culture": 0,
+    "economy": 1,
+    "health": 2,
+    "international": 3,
+    "local": 4,
+    "politics": 5,
+    "science": 6,
+    "sports": 7,
+    "technology": 8,
+    "war": 9
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,