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whisper-base-SER-v5_2

Automatic Speech Recognition
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whisper
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  # whisper-base-SER-v5_1
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  ## This fine-tune is corrupted (because i used mistakenly only 100 rows for training😑😑😑
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/657064196bbfca646130a2d4/hx7Sizz-TZhsox0ZC7mwO.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/657064196bbfca646130a2d4/pt8uBeL0oq6S87wPLOIQt.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/657064196bbfca646130a2d4/sGYdRw9uzaBtxm4bPzjgM.png)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/657064196bbfca646130a2d4/udmlWCInAAaOMBCWwKBBo.png)
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  )
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Whisper_Compatible_SER_benchmark(Not train_augmented) dataset.
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  It achieves the following results on the evaluation set:
 
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  # whisper-base-SER-v5_1
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  ## This fine-tune is corrupted (because i used mistakenly only 100 rows for training😑😑😑
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/657064196bbfca646130a2d4/udmlWCInAAaOMBCWwKBBo.png)
 
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  )
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Whisper_Compatible_SER_benchmark(Not train_augmented) dataset.
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  It achieves the following results on the evaluation set: