jjonas313
/

autotrain-ecb-uncertainty-financial-news-sentiment

Text Classification

Trained with AutoTrain

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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.5102422833442688

f1: 0.6812227074235808

precision: 0.7428571428571429

recall: 0.6290322580645161

auc: 0.8403134164222874

accuracy: 0.7566666666666667

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Model size

82.1M params

Tensor type

F32

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Inference Examples

Text Classification

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mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis

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