initializing TFBertForTokenClassification: ['dropout_37']

[gholinavaz]

موقع اجرا نوت زیر نمایش داده میشود آیا مواردی است که باید اعمال شود ؟
Some layers from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased were not used when initializing TFBertForTokenClassification: ['dropout_37']

• This IS expected if you are initializing TFBertForTokenClassification 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 TFBertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
  All the layers of TFBertForTokenClassification were initialized from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased.
  If your task is similar to the task the model of the checkpoint was trained on, you can already use TFBertForTokenClassification for predictions without further training.