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flair-icdar-fr
hmbert-64k/flair-icdar-fr
flair-icdar-fr is a token classification model from hmbert-64k. Use it when you need labels on individual words, such as names. It is set up for flair. The card lists the license as mit.
This Flair model was fine-tuned on the French ICDAR-Europeana NER Dataset using hmBERT 64k as backbone LM.
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At a glance
- Task
- Token Classification
- Library
- flair
- License
- mit
- Access
- Public
- Created
- Oct 24, 2023
- Updated
- Oct 26, 2023
- SHA
- 5b7c3fc0
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Model card
From the Hugging Face model README
Fine-tuned Flair Model on French ICDAR-Europeana NER Dataset
This Flair model was fine-tuned on the French ICDAR-Europeana NER Dataset using hmBERT 64k as backbone LM.
The ICDAR-Europeana NER Dataset is a preprocessed variant of the Europeana NER Corpora for Dutch and French.
The following NEs were annotated: PER, LOC and ORG.
Results
We performed a hyper-parameter search over the following parameters with 5 different seeds per configuration:
- Batch Sizes:
[4, 8] - Learning Rates:
[3e-05, 5e-05]
And report micro F1-score on development set:
| Configuration | Seed 1 | Seed 2 | Seed 3 | Seed 4 | Seed 5 | Average |
|---|---|---|---|---|---|---|
bs4-e10-lr3e-05 | 0.7562 | 0.7716 | 0.7747 | 0.7735 | 0.774 | 0.77 ± 0.0078 |
bs8-e10-lr5e-05 | 0.7669 | 0.7605 | 0.7691 | 0.7665 | 0.7795 | 0.7685 ± 0.0069 |
bs8-e10-lr3e-05 | 0.7716 | 0.7642 | 0.7765 | 0.7629 | 0.7657 | 0.7682 ± 0.0057 |
bs4-e10-lr5e-05 | 0.7139 | 0.7613 | 0.7536 | 0.7548 | 0.7026 | 0.7372 ± 0.0269 |
The training log and TensorBoard logs (not available for hmBERT Base model) are also uploaded to the model hub.
More information about fine-tuning can be found here.
Acknowledgements
We thank Luisa März, Katharina Schmid and Erion Çano for their fruitful discussions about Historic Language Models.
Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC). Many Thanks for providing access to the TPUs ❤️
- Task
- Token Classification
- Library
- flair
- License
- mit
- Languages
- fr
- Created
- Oct 24, 2023
- Updated
- Oct 26, 2023