readme: ---
  tags: 
  - autotrain
  - pre-trained
  - finbert
  - fill-mask
  language: unk
  widget:
  - text: Tesla remains one of the highest [MASK] stocks on the market. Meanwhile, Aurora Innovation is a pre-revenue upstart that shows promise.
  - text: Asian stocks [MASK] from a one-year low on Wednesday as U.S. share futures and oil recovered from the previous day's selloff, but uncertainty over the impact of the Omicron
  - text: U.S. stocks were set to rise on Monday, led by [MASK] in Apple which neared $3 trillion in market capitalization, while investors braced for a Federal Reserve meeting later this week.
  ---
  
  `FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. 
  
  ### Pre-training
  It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens.
  
  - Corporate Reports 10-K & 10-Q: 2.5B tokens
  - Earnings Call Transcripts: 1.3B tokens
  - Analyst Reports: 1.1B tokens
  
  The entire training is done using an **NVIDIA DGX-1** machine. The server has 4 Tesla P100 GPUs, providing a total of 128 GB of GPU memory. This machine enables us to train the BERT models using a batch size of 128. We utilize Horovord framework for multi-GPU training. Overall, the total time taken to perform pretraining for one model is approximately **2 days**.
  
  
  More details on `FinBERT`'s pre-training process can be found at: https://arxiv.org/abs/2006.08097
  
  `FinBERT` can be further fine-tuned on downstream tasks. Specifically, we have fine-tuned `FinBERT` on an analyst sentiment classification task, and the fine-tuned model is shared at [https://huggingface.co/demo-org/auditor_review_model](https://huggingface.co/demo-org/auditor_review_model)
  
  ### Usage
  Load the model directly from Transformers:
  ```
  from transformers import AutoModelForMaskedLM
  model = AutoModelForMaskedLM.from_pretrained("demo-org/finbert-pretrain", use_auth_token=True)
  ```
  
  ### Questions
  Please contact the Data Science COE if you have more questions about this pre-trained model
  
  ### Demo Model
  This model card is for demo purposes.  The original model card for this model is [https://huggingface.co/yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain).