solikang/koelectra-small-v3-nsmc

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9173913043478261
+      value: 0.8826086956521739
     - name: F1
       type: f1
-      value: 0.8778665089224095
+      value: 0.8275730495029622
     - name: Precision
       type: precision
-      value: 0.8416068052930057
+      value: 0.7789981096408317
     - name: Recall
       type: recall
-      value: 0.9173913043478261
+      value: 0.8826086956521739
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [monologg/koelectra-small-v3-discriminator](https://huggingface.co/monologg/koelectra-small-v3-discriminator) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2609
-- Accuracy: 0.9174
-- F1: 0.8779
-- Precision: 0.8416
-- Recall: 0.9174
+- Loss: 1.2815
+- Accuracy: 0.8826
+- F1: 0.8276
+- Precision: 0.7790
+- Recall: 0.8826
 
 ## Model description
 
@@ -78,7 +78,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 29   | 1.2609          | 0.9174   | 0.8779 | 0.8416    | 0.9174 |
+| No log        | 1.0   | 29   | 1.2815          | 0.8826   | 0.8276 | 0.7790    | 0.8826 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:706541bba8b6df56b81726d6530c9da5457a7e6f5d1ad2ac9befb8da304b7638
+oid sha256:a63c834fad79fe211b9bacc32742bd7d20912549c78efbd80f89789a7ab09003
 size 56517020