Nonovogo
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Deberta-V3-Base_Financial_News_Sentiment

Text Classification

text-embeddings-inference

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This model is trained to analysis financial news and provide an assessment of the sentimnet

Output => {"negative": 0, "neutral": 2, "positive": 1}

Testing Data, Factors & Metrics

Results

eval_loss: 0.553
eval_accuracy: 0.912
eval_f1: 0.913

Downloads last month: 7

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Model size

0.2B params

Tensor type

F32

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microsoft/deberta-v3-base

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Dataset used to train Nonovogo/Deberta-V3-Base_Financial_News_Sentiment