Update README.md

README.md

@@ -15,13 +15,12 @@ This model only contains the `GaudiConfig` file for running the [Swin Transforme
 This enables to specify:
 - `use_fused_adam`: whether to use Habana's custom AdamW implementation
 - `use_fused_clip_norm`: whether to use Habana's fused gradient norm clipping operator
-- `disable_autocast`: whether to disable autocast; this parameter takes precedence over --bf16 flag and is temporary as some scripts produce nan values. 
-   In those cases this parameter is already present in huggingface topology Habana gaudi_config.json.
+- `use_torch_autocast`: whether to use Torch Autocast for managing mixed precision
   
 ## Usage
 
 The model is instantiated the same way as in the Transformers library.
-The only difference is that there are a few new training arguments specific to HPUs.
+The only difference is that there are a few new training arguments specific to HPUs.\
 This model is supported only in mixed precision training with bf16 type.
 
 [Here](https://github.com/huggingface/optimum-habana/blob/main/examples/image-classification/run_image_classification.py) is an image classification example script to fine-tune a model. You can run it with Swin with the following command: