|
--- |
|
language: |
|
- de |
|
- fr |
|
- it |
|
pipeline_tag: token-classification |
|
license: cc-by-sa-4.0 |
|
--- |
|
|
|
# Tagset |
|
- O |
|
- B-CITATION |
|
- I-CITATION |
|
- B-LAW |
|
- I-LAW |
|
|
|
# Training |
|
- The model was trained with the following hyperparamters: |
|
- batch size: 64 |
|
- learning_rate: 0.00001 |
|
- number of training epochs: 50 (actually trained: 23) |
|
- early stopping patience: 5 |
|
|
|
# Predict scores |
|
|
|
| **metric** | **score** | |
|
|---------------------------------|-------| |
|
| de_predict/_CITATION_f1 | 97.93 | |
|
| de_predict/_CITATION_precision | 98.53 | |
|
| de_predict/_CITATION_recall | 97.34 | |
|
| de_predict/_LAW_f1 | 92.08 | |
|
| de_predict/_LAW_precision | 85.99 | |
|
| de_predict/_LAW_recall | 99.1 | |
|
| de_predict/_accuracy_normalized | 98.8 | |
|
| de_predict/_macro-f1 | 95.04 | |
|
| de_predict/_macro-precision | 98.22 | |
|
| de_predict/_macro-recall | 92.32 | |
|
| de_predict/_micro-f1 | 94.06 | |
|
| de_predict/_micro-precision | 98.49 | |
|
| de_predict/_micro-recall | 90.01 | |
|
| de_predict/_steps_per_second | 54.9 | |
|
| de_predict/_weighted-f1 | 93.97 | |
|
| de_predict/_weighted-precision | 98.55 | |
|
| de_predict/_weighted-recall | 90.01 | |
|
| fr_predict/_CITATION_f1 | 95.55 | |
|
| fr_predict/_CITATION_precision | 96.85 | |
|
| fr_predict/_CITATION_recall | 94.28 | |
|
| fr_predict/_LAW_f1 | 91.01 | |
|
| fr_predict/_LAW_precision | 83.67 | |
|
| fr_predict/_LAW_recall | 99.76 | |
|
| fr_predict/_accuracy_normalized | 98.31 | |
|
| fr_predict/_macro-f1 | 93.3 | |
|
| fr_predict/_macro-precision | 97.02 | |
|
| fr_predict/_macro-recall | 90.3 | |
|
| fr_predict/_micro-f1 | 92.06 | |
|
| fr_predict/_micro-precision | 98.42 | |
|
| fr_predict/_micro-recall | 86.47 | |
|
| fr_predict/_steps_per_second | 59.3 | |
|
| fr_predict/_weighted-f1 | 91.99 | |
|
| fr_predict/_weighted-precision | 98.62 | |
|
| fr_predict/_weighted-recall | 86.47 | |
|
| it_predict/_CITATION_f1 | 97.04 | |
|
| it_predict/_CITATION_precision | 97.7 | |
|
| it_predict/_CITATION_recall | 96.39 | |
|
| it_predict/_LAW_f1 | 90.99 | |
|
| it_predict/_LAW_precision | 84.23 | |
|
| it_predict/_LAW_recall | 98.94 | |
|
| it_predict/_accuracy_normalized | 98.92 | |
|
| it_predict/_macro-f1 | 94.13 | |
|
| it_predict/_macro-precision | 97.66 | |
|
| it_predict/_macro-recall | 91.2 | |
|
| it_predict/_micro-f1 | 93.11 | |
|
| it_predict/_micro-precision | 98.03 | |
|
| it_predict/_micro-recall | 88.67 | |
|
| it_predict/_steps_per_second | 56.3 | |
|
| it_predict/_weighted-f1 | 93 | |
|
| it_predict/_weighted-precision | 98.13 | |
|
| it_predict/_weighted-recall | 88.67 | |
|
| predict/_CITATION_f1 | 97.36 | |
|
| predict/_CITATION_precision | 98.11 | |
|
| predict/_CITATION_recall | 96.62 | |
|
| predict/_LAW_f1 | 91.68 | |
|
| predict/_LAW_precision | 85.15 | |
|
| predict/_LAW_recall | 99.3 | |
|
| predict/_accuracy_normalized | 98.68 | |
|
| predict/_macro-f1 | 94.56 | |
|
| predict/_macro-precision | 97.96 | |
|
| predict/_macro-recall | 91.7 | |
|
| predict/_micro-f1 | 93.43 | |
|
| predict/_micro-precision | 98.45 | |
|
| predict/_micro-recall | 88.91 | |
|
| predict/_steps_per_second | 55.7 | |
|
| predict/_weighted-f1 | 93.34 | |
|
| predict/_weighted-precision | 98.54 | |
|
| predict/_weighted-recall | 88.91 | |
|
| predict_samples | 28218 | |
|
|
|
|
