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@@ -48,7 +48,7 @@ The performance of the model is the following:
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  | Release | Test CER | Test WER | GPUs |
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  |:-------------:|:--------------:|:--------------:| :--------:|
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- | 1-08-23 | 2.42 | 8.26 | 1xV100 32GB |
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  ## Pipeline description
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@@ -106,7 +106,7 @@ cd recipes/CommonVoice/ASR/transformer/
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  python train_with_whisper.py hparams/train_it_hf_whisper.yaml --data_folder=your_data_folder
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  ```
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- You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/11PKCsyIE703mmDv6n6n_UnD0bUgMPbg_?usp=share_link).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
 
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  | Release | Test CER | Test WER | GPUs |
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  |:-------------:|:--------------:|:--------------:| :--------:|
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+ | 15-08-23 | 3.03 | 9.63 | 1xV100 32GB |
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  ## Pipeline description
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  python train_with_whisper.py hparams/train_it_hf_whisper.yaml --data_folder=your_data_folder
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  ```
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+ You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/u5tex3nvzzs5pex/AAD-J7cOBE_fNfBono8waTKCa?dl=0).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.