Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.7645955681800842
f1_macro: 0.27586206896551724
f1_micro: 0.7058823529411765
f1_weighted: 0.5841784989858012
precision_macro: 0.23529411764705885
precision_micro: 0.7058823529411765
precision_weighted: 0.49826989619377166
recall_macro: 0.3333333333333333
recall_micro: 0.7058823529411765
recall_weighted: 0.7058823529411765
accuracy: 0.7058823529411765
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Model tree for igiag/email-classifier
Base model
google-bert/bert-base-uncased