--tpu_name=$TPU_NAME Please see theGoogle Cloud TPU tutorialfor how to use Cloud TPUs. Alternatively, you can use the Google Colab notebook "BERT FineTuning with Cloud TPUs". On Cloud TPUs, the pretrained model and the output directory will need to be on Google Cloud Storage. For exa...
are typically independent with respect to gradient computation (excluding batch normalization, which is not used here). This means that the gradients of multiple smaller minibatches can be accumulated before performing the weight update, and this will be exactly equivalent to a single larger update....
Please see theGoogle Cloud TPU tutorialfor how to use Cloud TPUs. Alternatively, you can use the Google Colab notebook "BERT FineTuning with Cloud TPUs". On Cloud TPUs, the pretrained model and the output directory will need to be on Google Cloud Storage. For example, if you have a ...
--tpu_name=$TPU_NAME Please see theGoogle Cloud TPU tutorialfor how to use Cloud TPUs. Alternatively, you can use the Google Colab notebook "BERT FineTuning with Cloud TPUs". On Cloud TPUs, the pretrained model and the output directory will need to be on Google Cloud Storage. For exa...
--tpu_name=$TPU_NAME Please see theGoogle Cloud TPU tutorialfor how to use Cloud TPUs. Alternatively, you can use the Google Colab notebook "BERT FineTuning with Cloud TPUs". On Cloud TPUs, the pretrained model and the output directory will need to be on Google Cloud Storage. For exa...