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@@ -42,22 +42,29 @@ Model evaluation metrics and results.
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  [LibriSpeech]: https://huggingface.co/datasets/fixie-ai/librispeech_asr
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  [Fleurs]: https://huggingface.co/datasets/google/fleurs
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  #### ASR
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- | Benchmark | Task | BLEU ↑ | CER ↓ | WER ↓ |
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- | -------------------------------- |----------------|:-------------:|:------------:|:------------:|
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- | [Covost2][Covost2] | ASR (English) | **86.09** | **4.12** | **7.83** |
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- | [Fleurs][Fleurs] | ASR (English) | **89.61** | **2.28** | **5.23** |
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- | [LibriSpeech-Clean][LibriSpeech] | ASR (English) | **94.28** | **0.98** | **2.91** |
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- | [LibriSpeech-Other][LibriSpeech] | ASR (English) | **87.60** | **3.10** | **6.55** |
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  #### AST
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- | Benchmark | Task | BLEU ↑ |
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- | ------------------------------ |-------------------------------|:-------------:|
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- | [Covost2][Covost2] | AST (0-shot, English-Korean) | 31.55 |
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- | [Fleurs][Fleurs] | AST (0-shot, English-Korean) | 11.05 |
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  ## Model Details
 
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  [LibriSpeech]: https://huggingface.co/datasets/fixie-ai/librispeech_asr
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  [Fleurs]: https://huggingface.co/datasets/google/fleurs
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+ [Link1]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/asr_en_us_to_ko_kr.json
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+ [Link2]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/asr_Fleurs_en_us_to_ko_kr.json
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+ [Link3]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/asr_LibriSpeech_clean_en_us_to_ko_kr.json
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+ [Link4]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/asr_LibriSpeech_other_en_us_to_ko_kr.json
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+ [Link5]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/translation_en_us_to_ko_kr.json
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+ [Link6]: https://huggingface.co/junnei/gemma-3-4b-it-speech/blob/main/eval_result/translation_Fleurs_en_us_to_ko_kr.json
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+
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  #### ASR
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+ | Benchmark | Task | BLEU ↑ | CER ↓ | WER ↓ | Result |
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+ | -------------------------------- |----------------|:-------------:|:------------:|:------------:|:-------------:|
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+ | [Covost2][Covost2] | ASR (English) | **86.09** | **4.12** | **7.83** | [Link][Link1] |
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+ | [Fleurs][Fleurs] | ASR (English) | **89.61** | **2.28** | **5.23** | [Link][Link2] |
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+ | [LibriSpeech-Clean][LibriSpeech] | ASR (English) | **94.28** | **0.98** | **2.91** | [Link][Link3] |
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+ | [LibriSpeech-Other][LibriSpeech] | ASR (English) | **87.60** | **3.10** | **6.55** | [Link][Link4] |
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  #### AST
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+ | Benchmark | Task | BLEU ↑ | Result |
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+ | ------------------------------ |-------------------------------|:-------------:|:-------------:|
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+ | [Covost2][Covost2] | AST (0-shot, English-Korean) | 31.55 | [Link][Link5] |
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+ | [Fleurs][Fleurs] | AST (0-shot, English-Korean) | 11.05 | [Link][Link6] |
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  ## Model Details