---
tags:
- autotrain
- text-classification
widget:
- text: I love AutoTrain
datasets:
- pruhtopia/multilingual-bert-toc-95k-dataset
license: apache-2.0
---

# Model Trained Using AutoTrain

- Problem type: Text Classification
- Task: Legal Document Sequence Classification w/ [bert-base-multilingual-cased](https://huggingface.co/google-bert/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](https://colab.research.google.com/drive/1tSpV0RC12LDNFbWEq6kdiUCIJ8DkHHU_?usp=sharing)

## 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