ver0.1

config.json

@@ -0,0 +1,153 @@
+{
+  "architectures": [
+    "BertConcatClassifier"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bert_model_name": "klue/bert-base",
+  "classifier_dropout": null,
+  "conv_in_channels": 3,
+  "conv_kernel_size": 1,
+  "conv_out_channels": 1,
+  "hidden_act": "gelu",
+  "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",
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+    "11": "LABEL_11",
+    "12": "LABEL_12",
+    "13": "LABEL_13",
+    "14": "LABEL_14",
+    "15": "LABEL_15",
+    "16": "LABEL_16",
+    "17": "LABEL_17",
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+    "20": "LABEL_20",
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+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+  },
+  "layer_norm_eps": 1e-12,
+  "linear_in_features": 768,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 442677640