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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- es |
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license: apache-2.0 |
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widget: |
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- text: "La C0v!d es un 3ng@ño de los G0b!3rno$" |
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example_title: "Word camouflage detection" |
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model-index: |
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- name: es_roberta_base_bne_leetspeak_ner |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.8979055626 |
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- name: NER Recall |
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type: recall |
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value: 0.9393701406 |
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- name: NER F Score |
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type: f_score |
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value: 0.9181699547 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `es_roberta_base_bne_leetspeak_ner` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.2.1,<3.3.0` | |
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| **Default Pipeline** | `transformer`, `ner` | |
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| **Components** | `transformer`, `ner` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **Sources** | [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) model a transformer-based masked language model for the Spanish language pre-trained with a total of 570GB of clean and deduplicated text compiled from the web crawlings performed by the National Library of Spain (Biblioteca Nacional de España) <br> [LeetSpeak-NER](https://huggingface.co/spaces/Huertas97/LeetSpeak-NER) app where this model is in production for countering information disorders| |
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| **License** | Apache 2.0 | |
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| **Author** | [Álvaro Huertas García](https://www.linkedin.com/in/alvaro-huertas-garcia/) at [AI+DA](http://aida.etsisi.upm.es/) | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (4 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `INV_CAMO`, `LEETSPEAK`, `MIX`, `PUNCT_CAMO` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_F` | 91.82 | |
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| `ENTS_P` | 89.79 | |
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| `ENTS_R` | 93.94 | |
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| `TRANSFORMER_LOSS` | 166484.92 | |
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| `NER_LOSS` | 318457.35 | |
