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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: en |
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widget: |
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- text: "12 sets of 2 minutes 38 minutes between each set" |
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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 English model using [Flair TransformerWordEmbeddings - distilroberta-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 sets of 3 minutes 21 minutes between sets |
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start 7 sets of 32 seconds |
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create 13 sets of 26 seconds |
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init 8 series of 3 hours |
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2 sets of 30 seconds 35 minutes between each cycle |
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... |
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``` |
