Use float for mlm_prob

mlm_probability param of DataCollator accepts 0-1 float not integer
https://huggingface.co/transformers/main_classes/data_collator.html?highlight=datacollator#datacollatorforlanguagemodeling

examples/unsupervised_learning/MLM/train_mlm.py

@@ -27,7 +27,7 @@
 use_fp16 = False                #Set to True, if your GPU supports FP16 operations
 max_length = 100                #Max length for a text input
 do_whole_word_mask = True       #If set to true, whole words are masked
-mlm_prob = 15                   #Probability that a word is replaced by a [MASK] token
+mlm_prob = 0.15                   #Probability that a word is replaced by a [MASK] token
 
 # Load the model
 model = AutoModelForMaskedLM.from_pretrained(model_name)
@@ -121,4 +121,4 @@ def __len__(self):
 print("Save model to:", output_dir)
 model.save_pretrained(output_dir)
 
-print("Training done")
+print("Training done")