model from path 16-bits training:True but float16 false
Author: mahdirezaey
Pull request: no
Labels: name: wontfix

# ❓ Questions & Help

<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
     new models and benchmarks, and migration questions. For all other questions,
     we direct you to Stack Overflow (SO) where a whole community of PyTorch and
     Tensorflow enthusiast can help you out. Make sure to tag your question with the
     right deep learning framework as well as the huggingface-transformers tag: 
     https://stackoverflow.com/questions/tagged/huggingface-transformers 
     
     If your question wasn't answered after a period of time on Stack Overflow, you
     can always open a question on GitHub. You should then link to the SO question 
     that you posted.
     -->

## Details
<!-- Description of your issue -->

<!-- You should first ask your question on SO, and only if
     you didn't get an answer ask it here on GitHub. -->
**A link to original question on Stack Overflow**:


Comments:
Hi all

I am gonna run "run_language_modeling.py" on 1 GPU 1080 Ti  
and loading distill bert from directory 

and using fp16 , apex

it is run OK 
and i am getting trace back of 


05/01/2020 22:24:38 - WARNING - __main__ -   Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: store_true
05/01/2020 22:24:38 - INFO - transformers.configuration_utils -   loading configuration file ./save_pre_trn_model/config.json
05/01/2020 22:24:38 - INFO - transformers.configuration_utils -   Model config DistilBertConfig {
  "_num_labels": 2,
  "activation": "gelu",
  "architectures": [
    "DistilBertModel"
  ],
  "attention_dropout": 0.1,
  "bad_words_ids": null,
  "bos_token_id": null,
  "decoder_start_token_id": null,
  "dim": 768,
  "do_sample": false,
  "dropout": 0.1,
  "early_stopping": false,
  "eos_token_id": null,
  "finetuning_task": null,
  "hidden_dim": 3072,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1"
  },
  "initializer_range": 0.02,
  "is_decoder": false,
  "is_encoder_decoder": false,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1
  },
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "min_length": 0,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "no_repeat_ngram_size": 0,
  "num_beams": 1,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_past": true,
  "pad_token_id": 0,
  "prefix": null,
  "pruned_heads": {},
  "qa_dropout": 0.1,
  "repetition_penalty": 1.0,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "task_specific_params": null,
  "temperature": 1.0,
  "tie_weights_": true,
  "top_k": 50,
  "top_p": 1.0,
  "torchscript": false,
  "use_bfloat16": false,
  "vocab_size": 30000
}


Is it OK to see 
16-bits training:True   (i have written "store_true" in the code of it instead of True but those are doing the same thing)
and
"use_bfloat16": false

with each other ?

what does "use_bfloat16": false means ?

[As far as I can see](https://github.com/huggingface/transformers/search?q=use_bfloat16&type=Code) `bfloat16` is only relevant for Tensorflow XLNet, so no need to worry.

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.