Training in progress, epoch 2

README.md

@@ -11,8 +11,6 @@ metrics:
 model-index:
 - name: niaAbs_classifier
   results: []
-pipeline_tag: text-classification
-library_name: adapter-transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +29,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-NIA에서 AI-Hub에 업로드한 전문분야 데이터셋으로부터 논문초록 및 분야 정보만 추출하여 학술분류(공학, 사회과학, 자연과학 등 8개)를 수행할 수 있는 모델
+More information needed
 
 ## Intended uses & limitations
 
@@ -63,4 +61,4 @@ The following hyperparameters were used during training:
 - Transformers 4.41.2
 - Pytorch 2.5.1+cu124
 - Datasets 2.20.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

config.json

@@ -16,8 +16,7 @@
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-    "8": "\ubd84\ub958\uc5c6\uc74c"
+    "7": "\uc790\uc5f0\uacfc\ud559"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -25,7 +24,6 @@
     "\uacf5\ud559": 0,
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     "\ubcf5\ud569\ud559": 2,
-    "\ubd84\ub958\uc5c6\uc74c": 8,
     "\uc0ac\ud68c\uacfc\ud559": 3,
     "\uc608\uc220\uccb4\uc721\ud559": 4,
     "\uc758\uc57d\ud559": 5,

model.safetensors

@@ -1,3 +1,3 @@
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+size 442517520