update model

README.md

@@ -18,8 +18,8 @@ This is a distilled Automatic Speech Recognition (ASR) model, based on the Whisp
 
 ### Model Performance
 - **DeepCut Tokenized WER on Common Voice 13 Test Set**:
-  - Distilled Model: **13.5%**
-  - Teacher Model: **15.41%**
+  - Distilled Model: **11.23%**
+  - Teacher Model: **13.14%**
 
 This shows an improvement in Word Error Rate (WER), indicating enhanced accuracy in speech recognition tasks for the Thai language.
 
@@ -55,4 +55,4 @@ Cite using Bibtex:
     publisher    = { Hugging Face }
 }
 ```
----
+---

added_tokens.json

@@ -1,4 +1,1505 @@
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config.json

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 {
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generation_config.json

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train_results.json

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