speech-timer / README.md
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---
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tags:
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- flair
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- token-classification
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- sequence-tagger-model
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language: fr
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widget:
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- text: "12 séries de 2 minutes 38 minutes entre série"
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---
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#### This model is used in the [Speech Interval Timer app](https://medium.com/@amtam0/speech-interval-timer-app-using-transformers-1df8fa3821d5)
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7-class NER French model using [Flair TransformerWordEmbeddings - camembert-base](https://github.com/flairNLP/flair/).
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| **tag**                        | **meaning** |
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|---------------------------------|-----------|
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| nb_rounds         | Number of rounds | 
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| duration_br_sd         | Duration btwn rounds in seconds | 
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| duration_br_min         | Duration btwn rounds in minutes | 
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| duration_br_hr         | Duration btwn rounds in hours | 
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| duration_wt_sd         | workout duration in seconds | 
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| duration_wt_min         | workout duration in minutes | 
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| duration_wt_hr         | workout duration in hours | 
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---
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The dataset was created manually (perfectible). Sentences example : 
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```
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19 séries de 3 minutes 21 minutes entre chaque série
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préparer 7 sets de 32 secondes
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lance 13 séries de 26 secondes
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initie 8 series de 3 minutes
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2 séries de 30 secondes 35 minutes entre chaque série
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...
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```