Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.7569499611854553
f1_macro: 0.4764705882352941
f1_micro: 0.8205128205128205
f1_weighted: 0.793614881850176
precision_macro: 0.5245614035087719
precision_micro: 0.8205128205128205
precision_weighted: 0.7885739991003149
recall_macro: 0.46397058823529413
recall_micro: 0.8205128205128205
recall_weighted: 0.8205128205128205
accuracy: 0.8205128205128205
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google-bert/bert-large-cased