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---
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
...
``` |