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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

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Safetensors
Model size
125M params
Tensor type
F32
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