Update config.json

config.json

@@ -1,20 +1,32 @@
 {
-  "model_type": "autoencoder",
-  "model_name": "autoencoder_model",
-  "framework": "tensorflow",
-  "input_shape": [152, 152, 3],
-  "optimizer": "adam",
-  "loss": "binary_crossentropy",
-  "epochs": 50,
-  "dataset": {
-    "training_samples": 1600,  // 사용할 데이터셋에 맞게 수정
-    "validation_samples": 400   // 사용할 데이터셋에 맞게 수정
-  },
-  "metrics": ["loss"],
-  "Entry": {
-    "description": "Autoencoder model configuration",
-    "author": "Your Name",
-    "version": "1.0",
-    "date": "2024-09-07"
-  }
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "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": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
 }