chunked/nltk_chunking/_training/chunk_47.txt

Note that Transformers models all have a default task-relevant loss function, so you don't need to specify one unless you want to:

from transformers import TFAutoModelForSequenceClassification
from tensorflow.keras.optimizers import Adam
Load and compile our model
model = TFAutoModelForSequenceClassification.from_pretrained("google-bert/bert-base-cased")
Lower learning rates are often better for fine-tuning transformers
model.compile(optimizer=Adam(3e-5))  # No loss argument!