solikang/koelectra-small-v3-nsmc

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8869565217391304
+      value: 0.9173913043478261
     - name: F1
       type: f1
-      value: 0.8338208775796434
+      value: 0.8778665089224095
     - name: Precision
       type: precision
-      value: 0.7866918714555766
+      value: 0.8416068052930057
     - name: Recall
       type: recall
-      value: 0.8869565217391304
+      value: 0.9173913043478261
 ---
 
 <!-- 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: 1.2041
-- Accuracy: 0.8870
-- F1: 0.8338
-- Precision: 0.7867
-- Recall: 0.8870
+- Loss: 1.2609
+- Accuracy: 0.9174
+- F1: 0.8779
+- Precision: 0.8416
+- Recall: 0.9174
 
 ## Model description
 
@@ -76,11 +76,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Accuracy | F1     | Validation Loss | Precision | Recall |
-|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:---------:|:------:|
-| No log        | 1.0   | 12   | 0.8280   | 0.7500 | 1.4560          | 0.6855    | 0.8280 |
-| No log        | 2.0   | 24   | 0.9140   | 0.8729 | 1.2494          | 0.8354    | 0.9140 |
-| No log        | 1.0   | 29   | 0.9304   | 0.8969 | 1.1763          | 0.8657    | 0.9304 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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 size 56517020

training_args.bin

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