readme: ---
  tags:
  - flair
  - token-classification
  - sequence-tagger-model
  language: en
  widget:
  - text: "12 sets of 2 minutes 38 minutes between each set"
  
  ---
  
  #### This model is used in the [Speech Interval Timer app](https://medium.com/@amtam0/speech-interval-timer-app-using-transformers-1df8fa3821d5)
  
  7-class NER English model using [Flair TransformerWordEmbeddings - distilroberta-base](https://github.com/flairNLP/flair/).
  
  | **tag**                        | **meaning** |
  |---------------------------------|-----------|
  | nb_rounds         | Number of rounds | 
  | duration_br_sd         | Duration btwn rounds in seconds | 
  | duration_br_min         | Duration btwn rounds in minutes | 
  | duration_br_hr         | Duration btwn rounds in hours | 
  | duration_wt_sd         | workout duration in seconds | 
  | duration_wt_min         | workout duration in minutes | 
  | duration_wt_hr         | workout duration in hours | 
  ---
  The dataset was created manually (perfectible). Sentences example : 
  ```
  19 sets of 3 minutes 21 minutes between sets
  start 7 sets of 32 seconds
  create 13 sets of 26 seconds
  init 8 series of 3 hours
  2 sets of 30 seconds 35 minutes between each cycle
  ...
  ```