
# 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 |


{"language": ["de", "fr", "it"], "license": "cc-by-sa-4.0", "pipeline_tag": "token-classification", "widget": [{"text": "Erw\u00e4gungen : 1 . Die Beschwerde ist zwar an die strafrechtliche Abteilung adressiert ; zust\u00e4ndig f\u00fcr Belange der f\u00fcrsorgerischen Unterbringung ist jedoch die II . zivilrechtliche Abteilung ( Art . 32 lit . a BGerR ) . 2 . Gem\u00e4ss Art . 76 Abs . 1 lit . b BGG ist zur Beschwerde nur berechtigt , wer ein schutzw\u00fcrdiges Interesse an der Aufhebung oder \u00c4nderung des angefochtenen Entscheides hat . Das aktuelle und praktische Interesse an der Gutheissung der Beschwerde muss im Zeitpunkt des bundesgerichtlichen Urteils noch vorhanden sein ( BGE 131 I 153 E . 1 . 2 S . 157 ) . Dies gilt auch f\u00fcr den Bereich der f\u00fcrsorgerischen Unterbringung ( BGE 142 III 92 E . 3 S . 96 ) . Ein solches Interesse fehlt nicht erst heute , sondern es war bereits bei Beschwerdeeinreichung nicht gegeben , nachdem in jenem Zeitpunkt die Entlassung aus der Klinik bereits erfolgt war . Auf die Beschwerde ist deshalb nicht einzutreten ( BGE 136 III 497 E . 2 . 1 S . 500 ) . 3 ."}], "arxiv": 2306.09237}
transformers pytorch safetensors bert token-classification de fr it license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #token-classification #de #fr #it #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

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
==============




TAGS
#transformers #pytorch #safetensors #bert #token-classification #de #fr #it #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
