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---
language: en
license: apache-2.0
datasets:
- sst-2
---
# 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
```