File size: 1,004 Bytes
59e400d 66fb80e 59e400d 66fb80e 5b061d7 66fb80e 5b061d7 66fb80e 5b061d7 66fb80e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
---
license: openrail
language:
- de
metrics:
- f1
- accuracy
- precision
- recall
pipeline_tag: token-classification
tags:
- recipe
- cooking
- entity_recognition
---
Weakly supervised token classification model for German recipe texts based on bert-base-german-cased.
Code available: https://github.com/chefkoch24/weak-ingredient-recognition
Dataset: https://www.kaggle.com/datasets/sterby/german-recipes-dataset
Recognizes the following entities:<br>
'O': 0, <br>
'B-INGREDIENT': 1,<br>
'I-INGREDIENT': 2,<br>
'B-UNIT': 3,<br>
'I-UNIT': 4,<br>
'B-QUANTITY': 5,<br>
'I-QUANTITY': 6<br>
**Training:** <br>
epochs: 2<br>
optimizer: Adam<br>
learning rate: 2e-5<br>
max length: 512<br>
recipes: 7801<br>
The model was trained on single Geforce RTX2080 with 11GB GPU
**Metrics on test set (weakly supervised):** <br>
accuracy_token 0.9965656995773315<br>
f1_token 0.9965656995773315<br>
precision_token 0.9965656995773315<br>
recall_token 0.9965656995773315<br> |