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@@ -30,6 +30,10 @@ This model detects entities by classifying every token according to the IOB form
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  ['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']
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  ```
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  ## Training data
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  This mode was traind using a subset of all [wikiann](https://huggingface.co/datasets/wikiann) dataset.
@@ -38,9 +42,22 @@ This mode was traind using a subset of all [wikiann](https://huggingface.co/data
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  This model achieves the following results (meassured using the validation portion of the [wikiann](https://huggingface.co/datasets/wikiann)):
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- | Metric | Value |
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- |:------:|:----:|
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- |loss | 87.6 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## About RoBERTa
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  ['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']
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  ```
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+ **Languages:**
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+
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+ TBD
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+
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  ## Training data
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  This mode was traind using a subset of all [wikiann](https://huggingface.co/datasets/wikiann) dataset.
 
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  This model achieves the following results (meassured using the validation portion of the [wikiann](https://huggingface.co/datasets/wikiann)):
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+ | Metric | Value |
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+ |:-----------:|:----:|
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+ |loss | 87.6 |
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+ |precision | 87.6 |
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+ |recall | 87.6 |
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+ |f1 | 87.6 |
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+ |recall | 87.6 |
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+
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+ **Per Entity Type:**
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+
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+ TBD
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+
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+ **Per Language:**
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+
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+ TBD
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  ## About RoBERTa
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