---
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

| \bf metric                          | \bf score              |
|---------------------------------|--------------------|
| de_predict/_CITATION_f1         | 0.9793131792857794 |
| de_predict/_CITATION_precision  | 0.9852522282458881 |
| de_predict/_CITATION_recall     | 0.9734453018610985 |
| de_predict/_LAW_f1              | 0.9207842961099632 |
| de_predict/_LAW_precision       | 0.8598544432559407 |
| de_predict/_LAW_recall          | 0.9910077594333921 |
| de_predict/_accuracy_normalized | 0.9880353522464387 |
| de_predict/_macro-f1            | 0.9504272924171073 |
| de_predict/_macro-precision     | 0.9822265306472453 |
| de_predict/_macro-recall        | 0.9232171398568052 |
| de_predict/_micro-f1            | 0.9405898834091524 |
| de_predict/_micro-precision     | 0.9849051246865093 |
| de_predict/_micro-recall        | 0.9000908134288556 |
| de_predict/_steps_per_second    | 0.549              |
| de_predict/_weighted-f1         | 0.939658320951984  |
| de_predict/_weighted-precision  | 0.9854977355183103 |
| de_predict/_weighted-recall     | 0.9000908134288556 |
| fr_predict/_CITATION_f1         | 0.9554686901203342 |
| fr_predict/_CITATION_precision  | 0.9684586699813549 |
| fr_predict/_CITATION_recall     | 0.9428225684465286 |
| fr_predict/_LAW_f1              | 0.910095519316377  |
| fr_predict/_LAW_precision       | 0.8366717393986756 |
| fr_predict/_LAW_recall          | 0.9976459048553212 |
| fr_predict/_accuracy_normalized | 0.9830767480044869 |
| fr_predict/_macro-f1            | 0.9330080903677362 |
| fr_predict/_macro-precision     | 0.9702342366509249 |
| fr_predict/_macro-recall        | 0.9029739799827206 |
| fr_predict/_micro-f1            | 0.920617324580396  |
| fr_predict/_micro-precision     | 0.9842228065627199 |
| fr_predict/_micro-recall        | 0.8647338279317974 |
| fr_predict/_steps_per_second    | 0.593              |
| fr_predict/_weighted-f1         | 0.9198669665372888 |
| fr_predict/_weighted-precision  | 0.9861681830521788 |
| fr_predict/_weighted-recall     | 0.8647338279317974 |
| it_predict/_CITATION_f1         | 0.9703896103896105 |
| it_predict/_CITATION_precision  | 0.9769874476987448 |
| it_predict/_CITATION_recall     | 0.9638802889576883 |
| it_predict/_LAW_f1              | 0.9099276791584483 |
| it_predict/_LAW_precision       | 0.8422590068159689 |
| it_predict/_LAW_recall          | 0.9894195024306548 |
| it_predict/_accuracy_normalized | 0.9892137683075134 |
| it_predict/_macro-f1            | 0.9413484848298093 |
| it_predict/_macro-precision     | 0.9766498956941716 |
| it_predict/_macro-recall        | 0.9119834901073706 |
| it_predict/_micro-f1            | 0.9311429570080392 |
| it_predict/_micro-precision     | 0.9803127874885005 |
| it_predict/_micro-recall        | 0.8866699950074888 |
| it_predict/_steps_per_second    | 0.563              |
| it_predict/_weighted-f1         | 0.929971077318579  |
| it_predict/_weighted-precision  | 0.9813271971464931 |
| it_predict/_weighted-recall     | 0.8866699950074888 |
| predict/_CITATION_f1            | 0.973621340187501  |
| predict/_CITATION_precision     | 0.981138340970977  |
| predict/_CITATION_recall        | 0.9662186467837405 |
| predict/_LAW_f1                 | 0.9168199439712499 |
| predict/_LAW_precision          | 0.8514980289093298 |
| predict/_LAW_recall             | 0.9929968125536349 |
| predict/_accuracy_normalized    | 0.986841752305624  |
| predict/_macro-f1               | 0.9455976917351873 |
| predict/_macro-precision        | 0.9796077296686877 |
| predict/_macro-recall           | 0.9169959471957758 |
| predict/_micro-f1               | 0.934344809828224  |
| predict/_micro-precision        | 0.9844524443053164 |
| predict/_micro-recall           | 0.8890909776278342 |
| predict/_steps_per_second       | 0.557              |
| predict/_weighted-f1            | 0.9333974918752409 |
| predict/_weighted-precision     | 0.9854002360022739 |
| predict/_weighted-recall        | 0.8890909776278342 |
| predict_samples                 | 28218              |