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SpecDox-Whisper-Medium

Automatic Speech Recognition

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Shzaib commited on May 23

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@@ -45,7 +45,7 @@ The table below outlines the performance of the fine-tuned SpecDox models agains
 | Model | WER% ↓ | BLEU ↑ | METEOR ↑ | BERTScore F1 ↑ | Rank |
 | :--- | :---: | :---: | :---: | :---: | :---: |
-| **checkpoint-2900 (SpecDox)** | **36.25** | **53.30** | 0.7804 | **0.9405** | **#1** |
 | Faster Whisper (SpecDox) | 36.28 | 53.24 | **0.7811** | 0.9402 | **#2** |
 | Whisper Large-v3 | 42.88 | 46.86 | 0.7105 | 0.9270 | #3 |
 | Whisper Medium (Baseline) | 45.33 | 44.16 | 0.6882 | 0.9226 | #4 |

 | Model | WER% ↓ | BLEU ↑ | METEOR ↑ | BERTScore F1 ↑ | Rank |
 | :--- | :---: | :---: | :---: | :---: | :---: |
+| **SpecDox-Whisper-Medium** | **36.25** | **53.30** | 0.7804 | **0.9405** | **#1** |
 | Faster Whisper (SpecDox) | 36.28 | 53.24 | **0.7811** | 0.9402 | **#2** |
 | Whisper Large-v3 | 42.88 | 46.86 | 0.7105 | 0.9270 | #3 |
 | Whisper Medium (Baseline) | 45.33 | 44.16 | 0.6882 | 0.9226 | #4 |