# **roberta-base model is fine tuned on Kaggle two datasets namely "[Sentiment Analysis Dataset](https://www.kaggle.com/datasets/abhi8923shriv/sentiment-analysis-dataset)" & [Pre-processed Twitter tweets](https://www.kaggle.com/datasets/shashank1558/preprocessed-twitter-tweets).**

## Respective labels and thier sentiment 

- 0: 'NEUTRAL',
- 1: 'POSITIVE',
- 2: 'NEGATIVE'


{}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 

# roberta-base model is fine tuned on Kaggle two datasets namely "Sentiment Analysis Dataset" & Pre-processed Twitter tweets.

## Respective labels and thier sentiment 

- 0: 'NEUTRAL',
- 1: 'POSITIVE',
- 2: 'NEGATIVE'


# roberta-base model is fine tuned on Kaggle two datasets namely "Sentiment Analysis Dataset" & Pre-processed Twitter tweets. ## Respective labels and thier sentiment 

- 0: 'NEUTRAL',
- 1: 'POSITIVE',
- 2: 'NEGATIVE'
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # roberta-base model is fine tuned on Kaggle two datasets namely "Sentiment Analysis Dataset" & Pre-processed Twitter tweets. ## Respective labels and thier sentiment 

- 0: 'NEUTRAL',
- 1: 'POSITIVE',
- 2: 'NEGATIVE'