finetune

config.json

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "Kyoungmin/beauty-base-KLCP",
+  "_name_or_path": "Kyoungmin/beauty-base-KLCP2",
   "architectures": [
-    "BertForMaskedLM"
+    "BertModel"
   ],
   "attention_probs_dropout_prob": 0.1,
   "directionality": "bidi",
@@ -9,13 +9,30 @@
   "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"
+  },
   "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
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 300,
   "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "output_hidden_states": true,
   "pad_token_id": 0,
   "pooler_fc_size": 768,
   "pooler_num_attention_heads": 12,
@@ -23,6 +40,7 @@
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.9.2",
   "type_vocab_size": 2,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de4b669aa0f701a26f03662e6f591869f44281c95607bdfba3f2dbd09bdd74b4
-size 435883435
+oid sha256:889f1b70fab91f2993c0461c05f2d372f7679395deb2384feee2078935eee123
+size 435753777