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---
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 |