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