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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.9077266454696655

f1_macro: 0.7369395788473786

f1_micro: 0.8138826872336107

f1_weighted: 0.8156493734891888

precision_macro: 0.7519649053799214

precision_micro: 0.8138826872336107

precision_weighted: 0.8234151215149706

recall_macro: 0.7343451827075037

recall_micro: 0.8138826872336107

recall_weighted: 0.8138826872336107

accuracy: 0.8138826872336107

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Model size

135M params

Tensor type

F32

Inference Examples

Text Classification

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