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@@ -69,11 +69,8 @@ The model was fine-tuned using the **ScreenTalk-XS dataset**, a collection of tr
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  ## πŸ“Š Evaluation
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- ### πŸ“Œ Testing Data
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- - **Dataset**: ScreenTalk-XS
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- - **Metrics**: Word Error Rate (WER)
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- ### πŸ“Œ Results
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  | **Epoch** | **Training Loss** | **Validation Loss** | **WER (%)** |
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  |-----------|-----------------|-----------------|-------------|
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  | **1** | 0.502400 | 0.333292 | 20.870653 |
@@ -85,6 +82,17 @@ The model was fine-tuned using the **ScreenTalk-XS dataset**, a collection of tr
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  - **Best Model:** `Epoch 4`, achieving **WER = 20.50%**
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  - **Model performance degrades after epoch 4**, suggesting overfitting.
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  ## πŸ–₯️ Technical Specifications
 
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  ## πŸ“Š Evaluation
 
 
 
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+ ### πŸ“Œ Training Results
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  | **Epoch** | **Training Loss** | **Validation Loss** | **WER (%)** |
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  |-----------|-----------------|-----------------|-------------|
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  | **1** | 0.502400 | 0.333292 | 20.870653 |
 
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  - **Best Model:** `Epoch 4`, achieving **WER = 20.50%**
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  - **Model performance degrades after epoch 4**, suggesting overfitting.
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+ ### πŸ“Œ Test Results
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+ | **Model** | **WER (%)** |
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+ |-----------|-------------|
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+ | **Whisper-small (baseline)** | **30.00%** |
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+ | **ScreenTalk-xs (fine-tuned)** | **27.00%** βœ… |
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+ ### **πŸ” Key Observations**
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+ - **Fine-tuning reduced WER from 30.00% β†’ 27.00%** 🎯
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+ - **Achieved a 10% relative improvement in ASR accuracy.**
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+ - **Tested on the ScreenTalk-XS dataset.**
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  ---
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  ## πŸ–₯️ Technical Specifications