---
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
```