Model Trained Using AutoTrain

Problem type: Text Classification
Task: Legal Document Sequence Classification w/ bert-base-multilingual-cased
id2label: [0: 'Caption', 1: 'Footnote', 2: 'Formula', 3: 'List-item', 4: 'Page-footer', 5: 'Page-header', 6: 'Picture', 7: 'Section-header', 8: 'Table', 9: 'Text', 10: 'Title']
sample usage notebook here

Validation Metrics

loss: 0.5102838277816772

f1_macro: 0.605011586308457

f1_micro: 0.8910038281582305

f1_weighted: 0.8870714364293508

precision_macro: 0.6869883411452264

precision_micro: 0.8910038281582305

precision_weighted: 0.8858066104824025

recall_macro: 0.5550753643871188

recall_micro: 0.8910038281582305

recall_weighted: 0.8910038281582305

accuracy: 0.8910038281582305