Liberty-L/multi_KR

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: skt/kobert-base-v1
+base_model: Liberty-L/multiple_choice_model
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # multiple_choice_model
 
-This model is a fine-tuned version of [skt/kobert-base-v1](https://huggingface.co/skt/kobert-base-v1) on an unknown dataset.
+This model is a fine-tuned version of [Liberty-L/multiple_choice_model](https://huggingface.co/Liberty-L/multiple_choice_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3849
-- Accuracy: 0.2946
+- Loss: 1.3847
+- Accuracy: 0.2988
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3887        | 1.0   | 786  | 1.3850          | 0.2941   |
-| 1.3896        | 2.0   | 1572 | 1.3849          | 0.2941   |
-| 1.3903        | 3.0   | 2358 | 1.3849          | 0.2946   |
+| 1.3885        | 1.0   | 786  | 1.3848          | 0.2966   |
+| 1.3894        | 2.0   | 1572 | 1.3847          | 0.2972   |
+| 1.3901        | 3.0   | 2358 | 1.3847          | 0.2988   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "skt/kobert-base-v1",
+  "_name_or_path": "Liberty-L/multiple_choice_model",
   "architectures": [
     "BertForMultipleChoice"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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 size 368774052

runs/Nov23_11-44-02_5aa845d55241/events.out.tfevents.1700739842.5aa845d55241.1064.0

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training_args.bin

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