Update README.md

examples/question-answering/README.md

@@ -190,14 +190,6 @@ Here is a DeepSpeed configuration you can use to train your models on Gaudi:
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-### Training in torch.compile mode
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-Albert XXL model training in [torch.compile](pytorch.org/tutorials/intermediate/torch_compile_tutorial.html) mode is enabled by applying the following changes to your command, \
-a) Set the following environment variables `PT_HPU_LAZY_MODE=0` and `PT_ENABLE_INT64_SUPPORT=1`. \
-b) Run the above commands with `--model_name_or_path albert-xxlarge-v1`, `--use_lazy_mode False` and add `--torch_compile`, `--torch_compile_backend hpu_backend` and remove `--use_hpu_graphs_for_inference` flags.
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-
 ## Fine-tuning Llama on SQuAD1.1
 
 > [!NOTE]