Rename config (1).json to config.json

config (1).json

@@ -1,22 +0,0 @@
-{"architectures": [
-    "BertForMaskedLM"
-  ],
-  "attention_probs_dropout_prob": 0.1, 
-  "directionality": "bidi", 
-  "hidden_act": "gelu", 
-  "hidden_dropout_prob": 0.1, 
-  "hidden_size": 768, 
-  "initializer_range": 0.02, 
-  "intermediate_size": 3072, 
-  "max_position_embeddings": 512, 
-  "num_attention_heads": 12, 
-  "num_hidden_layers": 12, 
-  "pooler_fc_size": 768, 
-  "pooler_num_attention_heads": 12, 
-  "pooler_num_fc_layers": 3, 
-  "pooler_size_per_head": 128, 
-  "pooler_type": "first_token_transform", 
-  "type_vocab_size": 2, 
-  "vocab_size": 120138,
-  "model_type": "bert"
-}

config.json

@@ -0,0 +1,42 @@
+{
+  _name_or_path: "ai-forever/ruBert-large",
+  architectures: [
+    "BertForSequenceClassification"
+  ],
+  attention_probs_dropout_prob: 0.1,
+  classifier_dropout: null,
+  directionality: "bidi",
+  hidden_act: "gelu",
+  hidden_dropout_prob: 0.1,
+  hidden_size: 1024,
+  id2label: {
+    0: "LABEL_0",
+    1: "LABEL_1",
+    2: "LABEL_2"
+  },
+  initializer_range: 0.02,
+  intermediate_size: 4096,
+  label2id: {
+    LABEL_0: 0,
+    LABEL_1: 1,
+    LABEL_2: 2
+  },
+  layer_norm_eps: 1e-12,
+  max_position_embeddings: 512,
+  model_type: "bert",
+  num_attention_heads: 16,
+  num_hidden_layers: 24,
+  pad_token_id: 0,
+  pooler_fc_size: 768,
+  pooler_num_attention_heads: 12,
+  pooler_num_fc_layers: 3,
+  pooler_size_per_head: 128,
+  pooler_type: "first_token_transform",
+  position_embedding_type: "absolute",
+  problem_type: "single_label_classification",
+  torch_dtype: "float32",
+  transformers_version: "4.45.1",
+  type_vocab_size: 2,
+  use_cache: true,
+  vocab_size: 120138
+}