README.md

---
language: 
- en
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
- text-classification
- emotion
- pytorch
- en
- distil-bert
license: apache-2.0
datasets:
- emotion
metrics:
- Accuracy, F1 Score
---
# Distilbert-base-uncased-emotion

## Model description:
`Distilbert-base-uncased` finetuned on the emotion dataset using HuggingFace Trainer.
```
 learning rate 2e-5, 
 batch size 64,
 num_train_epochs=8,
```

## Dataset:
[Twitter-Sentiment-Analysis](https://huggingface.co/nlp/viewer/?dataset=emotion).

#### Limitations and bias
- 
- [Follow me on github](https://github.com/nateraw) to get notified when code is made available.

## Training procedure

## Eval results
```

```