Update config.json

config.json

@@ -1,38 +1,38 @@
-{
-  "_name_or_path": "cointegrated/rubert-tiny2",
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "emb_size": 312,
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 312,
-  "id2label": {
-    "0": "write",
-    "1": "draw",
-    "2": "neutral"
-  },
-  "initializer_range": 0.02,
-  "intermediate_size": 600,
-  "label2id": {
-    "draw": 1,
-    "neutral": 2,
-    "write": 0
-  },
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 2048,
-  "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 3,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "problem_type": "multi_label_classification",
-  "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 83828
-}
+{
+  "_name_or_path": "r1char9/rubert-tiny2-clf",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "emb_size": 312,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
+  "id2label": {
+    "0": "write",
+    "1": "draw",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 600,
+  "label2id": {
+    "draw": 1,
+    "neutral": 2,
+    "write": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 83828
+}