readme: ---
  language: en
  license: apache-2.0
  datasets:
  - sst2
  ---
  
  # distilbert-base-uncased-sentiment-sst2
  This model will be able to identify positivity or negativity present in the sentence
  ## Dataset:
  The Stanford Sentiment Treebank from GLUE
  
  ## Results:
  ```
  ***** eval metrics *****
    epoch                   =        3.0
    eval_accuracy           =     0.9094
    eval_loss               =     0.3514
    eval_runtime            = 0:00:03.60
    eval_samples            =        872
    eval_samples_per_second =    242.129
    eval_steps_per_second   =     30.266
  ```