Edit model card

Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.46739959716796875

f1: 0.8414839797639123

precision: 0.8603448275862069

recall: 0.8234323432343235

auc: 0.9097215546797399

accuracy: 0.8322925958965209

Fine-tuned from

cardiffnlp/twitter-roberta-base-sentiment-latest

Trained on

StephArn/TweetOPT-PES

Downloads last month
9
Safetensors
Model size
125M params
Tensor type
F32
·
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using StephArn/RoBERTa-OPT-BinaryLabels 1