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README.md

@@ -7,13 +7,13 @@ Learn more about how to take advantage of the power of Habana HPUs to train Tran
 
 ## BERT Large model HPU configuration
 
-This model contains just the `GaudiConfig` file for running the [bert-large-uncased-whole-word-masking](https://huggingface.co/bert-large-uncased-whole-word-masking) model on Habana's Gaudi processors (HPU).
+This model only contains the `GaudiConfig` file for running the [bert-large-uncased-whole-word-masking](https://huggingface.co/bert-large-uncased-whole-word-masking) model on Habana's Gaudi processors (HPU).
 
 **This model contains no model weights, only a GaudiConfig.**
 
 This enables to specify:
 - `use_habana_mixed_precision`: whether to use Habana Mixed Precision (HMP)
-    - `hmp_opt_level`: optimization level for HMP, see [here](https://docs.habana.ai/en/latest/PyTorch/PyTorch_User_Guide/PT_Mixed_Precision.html#configuration-options) for a detailed explanation
+    - `hmp_opt_level`: optimization level for HMP, see [here](https://docs.habana.ai/en/latest/PyTorch/PyTorch_Mixed_Precision/PT_Mixed_Precision.html#configuration-options) for a detailed explanation
     - `hmp_bf16_ops`: list of operators that should run in bf16
     - `hmp_fp32_ops`: list of operators that should run in fp32
     - `hmp_is_verbose`: verbosity