End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.49781659388647
+      value: 40.88239722933294
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the zeroth-korean dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1071
-- Wer: 34.4978
+- Loss: 0.1037
+- Wer: 40.8824
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0586        | 0.18  | 1000 | 0.1426          | 23.0236 |
-| 0.0323        | 0.36  | 2000 | 0.1189          | 27.9777 |
-| 0.028         | 0.54  | 3000 | 0.1071          | 34.4978 |
+| 0.0294        | 0.18  | 1000 | 0.1502          | 30.7936 |
+| 0.0375        | 0.36  | 2000 | 0.1191          | 44.9179 |
+| 0.0286        | 0.54  | 3000 | 0.1037          | 40.8824 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4e448f5cc035d7bbd8161d990954efd7758a6daa0a02be24ff637e284c23ae8a
 size 967102729