Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.49299314618110657

f1: 0.6666666666666666

precision: 1.0

recall: 0.5

auc: 1.0

accuracy: 0.75

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Model size

278M params

Tensor type

F32

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Text Classification

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Model tree for hbsanaweb/autotrain-xrthk-7hgtq

Base model

cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual

Finetuned

(10)

this model