Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "klue/roberta-small",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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+    "3": "\ube75 \ubc0f \uacfc\uc790\ub958",
+    "4": "\uc8fd \ubc0f \uc2a4\ud504\ub958",
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+    "8": "\uad6c\uc774\ub958",
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+    "10": "\ubcf6\uc74c\ub958",
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+    "12": "\ud280\uae40\ub958",
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+    "15": "\uae40\uce58\ub958",
+    "16": "\uc813\uac08\ub958",
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+    "20": "\uc7a5\ub958, \uc591\ub150\ub958",
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+    "23": "\uace1\ub958, \uc11c\ub958 \uc81c\ud488"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "\ub450\ub958, \uacac\uacfc \ubc0f \uc885\uc2e4\ub958": 22,
+    "\uba74 \ubc0f \ub9cc\ub450\ub958": 1,
+    "\ubc25\ub958": 2,
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+    "\ube75 \ubc0f \uacfc\uc790\ub958": 3,
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+    "\uc218\u00b7\uc870\u00b7\uc5b4\u00b7\uc721\ub958": 19,
+    "\uc720\uc81c\ud488\ub958 \ubc0f \ube59\uacfc\ub958": 0,
+    "\uc74c\ub8cc \ubc0f \ucc28\ub958": 18,
+    "\uc7a5\ub958, \uc591\ub150\ub958": 20,
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+    "\ud280\uae40\ub958": 12
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "BertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "tokenizer_class": "BertTokenizer",
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