Model Trained Using AutoTrain
Validation Metrics
loss: 0.5938536524772644
f1_macro: 0.7222515953648029
f1_micro: 0.773
f1_weighted: 0.7597654727348124
precision_macro: 0.7867675237321506
precision_micro: 0.773
precision_weighted: 0.7868723492084404
recall_macro: 0.7150820510852743
recall_micro: 0.773
recall_weighted: 0.773
accuracy: 0.773