update model card README.md

README.md

@@ -1,5 +1,4 @@
 ---
-license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
 datasets:
@@ -21,7 +20,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7323434991974318
+      value: 0.39159393661001385
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kogpt2-base-v2-finetuned-klue-ner
 
-This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the klue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5037
-- F1: 0.7323
+- Loss: 0.3319
+- F1: 0.3916
 
 ## Model description
 
@@ -57,15 +56,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6034        | 1.0   | 1313 | 0.5277          | 0.7116 |
-| 0.4167        | 2.0   | 2626 | 0.5244          | 0.7350 |
-| 0.3507        | 3.0   | 3939 | 0.5037          | 0.7323 |
+| 0.4441        | 1.0   | 1313 | 0.3900          | 0.2831 |
+| 0.287         | 2.0   | 2626 | 0.3430          | 0.3298 |
+| 0.2229        | 3.0   | 3939 | 0.3313          | 0.3624 |
+| 0.1769        | 4.0   | 5252 | 0.3319          | 0.3916 |
 
 
 ### Framework versions