Upload BertForSequenceClassification

config.json

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+{
+  "_name_or_path": "beomi/kobert",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "\ub9ac\ub4dc",
+    "1": "\uc785\uc7a5",
+    "2": "\uc8fc\uc7a5",
+    "3": "\uacb0\ub860 \uc9c4\uc220",
+    "4": "\uc99d\uac70",
+    "5": "\ubc18\ub860",
+    "6": "\ubc18\ubc15"
+  },
+  "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
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 8002
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:266a08042fb3b6a2005e30058ee940bb0df1319b11a0e2cca5e4c8de7562bf7a
+size 368841845