Warnings when running code

[angoodkind]

I received these warnings after my initial run of the program. I received the warnings below. Just wanted to make sure these are fine.

2021-12-14 11:52:56.170307: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-12-14 11:52:56.217918: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
Some layers from the model checkpoint at /Users/adamg/.dialog-tag/models/distilbert-base-uncased were not used when initializing TFDistilBertForSequenceClassification: ['dropout_59']
- This IS expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some layers of TFDistilBertForSequenceClassification were not initialized from the model checkpoint at /Users/adamg/.dialog-tag/models/distilbert-base-uncased and are newly initialized: ['dropout_19']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

[argideritzalpea]

Are you using a GPU? Are you able to verify how much memory is being consumed with nvidia-smi? I get the same error and am wondering if the model was trained correctly.

[bhavimalik]

@angoodkind, you can ignore those warnings while loading the model!

[angoodkind]

Thanks @bhavimalik. How can I suppress them?

@argideritzalpea, I am not using a GPU.