Upload DebertaV2ForSequenceClassification

README.md

@@ -2,10 +2,10 @@
 language:
 - en
 license: mit
-base_model: microsoft/deberta-v2-xxlarge
 tags:
 - nycu-112-2-datamining-hw2
 - generated_from_trainer
+base_model: microsoft/deberta-v2-xxlarge
 datasets:
 - DandinPower/review_onlytitleandtext
 metrics:
@@ -14,15 +14,15 @@ model-index:
 - name: deberta-v2-xxlarge-otat-recommened-hp
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: DandinPower/review_onlytitleandtext
       type: DandinPower/review_onlytitleandtext
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.6741428571428572
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/deberta-v2-xxlarge",
+  "_name_or_path": "/mnt/nvme3n1p1/text-classification-exp/deberta-v2-xxlarge-otat-recommened-hp/checkpoint-1400",
   "architectures": [
     "DebertaV2ForSequenceClassification"
   ],

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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