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@@ -17,11 +17,11 @@ This enables to specify:
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  - `use_fused_clip_norm`: whether to use Habana's fused gradient norm clipping operator
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  - `use_torch_autocast`: whether to use Torch Autocast for managing mixed precision
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-
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  ## Usage
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  The model is instantiated the same way as in the Transformers library.
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- The only difference is that there are a few new training arguments specific to HPUs.
 
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  [Here](https://github.com/huggingface/optimum-habana/blob/main/examples/audio-classification/run_audio_classification.py) is an audio classification example script to fine-tune a model. You can run it with Wav2Vec2 with the following command:
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  ```bash
 
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  - `use_fused_clip_norm`: whether to use Habana's fused gradient norm clipping operator
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  - `use_torch_autocast`: whether to use Torch Autocast for managing mixed precision
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  ## Usage
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  The model is instantiated the same way as in the Transformers library.
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+ The only difference is that there are a few new training arguments specific to HPUs.\
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+ This model is supported only in mixed precision training with bf16 type.
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  [Here](https://github.com/huggingface/optimum-habana/blob/main/examples/audio-classification/run_audio_classification.py) is an audio classification example script to fine-tune a model. You can run it with Wav2Vec2 with the following command:
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  ```bash