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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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- en |
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license: apache-2.0 |
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widget: |
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- text: "But one other thing that we have to re;think is the way that we dy£ our #c!l.o|th?£+s." |
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example_title: "Word camouflage detection" |
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model-index: |
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- name: en_roberta_base_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: 0.7966001851 |
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- name: NER Recall |
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type: recall |
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value: 0.8619559279 |
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- name: NER F Score |
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type: f_score |
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value: 0.8279903783 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_roberta_base_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** | [roberta-base](https://huggingface.co/roberta-base) pre-trained model on English language using a masked language modeling (MLM) objective by Yinhan Liu et al. <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` | 82.80 | |
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| `ENTS_P` | 79.66 | |
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| `ENTS_R` | 86.20 | |
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| `TRANSFORMER_LOSS` | 177808.42 | |
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| `NER_LOSS` | 608427.31 | |
