readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: stop_reasons_classificator
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # stop_reasons_classificator
  
  This model was trained from the BERT base model (uncased) on the task of classification why a clinical trial has stopped in 17 different classes.
  The dataset used for fine tuning can be found at https://huggingface.co/datasets/opentargets/clinical_trial_reason_to_stop
  
  ## Intended uses & limitations
  
  This model is intended to be used by the whole scientific community. It is Apache 2.0 licensed.
  
  ## Training and evaluation data
  
  An expert curated data set of >5000 reasons why a clinical trials have stopped. These data has been extracted from clinicaltrials.gov.
  
  A set of experts from the Open Targets Consortium assigned these  free text labels to a set of 17 different classes after receiving training.
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: adam
  - learning rate: 5e-5
  - loss function: sparse categorical cross-entropy
  - epochs: 3
  - batch size: 32
  
  ### Framework versions
  
  - Transformers 4.21.3
  - TensorFlow 2.9.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  