Downloads · 30 days
1
5% of all-time downloads
hmbench-letemps-fr-hmbert_tiny-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2
stefan-it/hmbench-letemps-fr-hmbert_tiny-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2
hmbench-letemps-fr-hmbert_tiny-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2 is a token classification model from stefan-it. 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 LeTemps French NER Dataset using hmBERT Tiny as backbone LM.
All-time downloads
21
Public
Repo size
20.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin19 MB · 91%
At a glance
- Task
- Token Classification
- Library
- flair
- License
- mit
- Access
- Public
- Created
- Oct 19, 2023
- Updated
- Oct 24, 2023
- SHA
- a7e4b025
Try a prompt
Base models
Model card
From the Hugging Face model README
Fine-tuned Flair Model on LeTemps French NER Dataset (HIPE-2022)
This Flair model was fine-tuned on the LeTemps French NER Dataset using hmBERT Tiny as backbone LM.
The LeTemps dataset consists of NE-annotated historical French newspaper articles from mid-19C to mid 20C.
The following NEs were annotated: loc, org and pers.
Results
We performed a hyper-parameter search over the following parameters with 5 different seeds per configuration:
- Batch Sizes:
[4, 8] - Learning Rates:
[5e-05, 3e-05]
And report micro F1-score on development set:
| Configuration | Seed 1 | Seed 2 | Seed 3 | Seed 4 | Seed 5 | Average |
|---|---|---|---|---|---|---|
bs4-e10-lr5e-05 | 0.5297 | 0.5073 | 0.5106 | 0.5111 | 0.5282 | 0.5174 ± 0.0107 |
bs4-e10-lr3e-05 | 0.5012 | 0.4703 | 0.5019 | 0.4857 | 0.5072 | 0.4933 ± 0.0151 |
bs8-e10-lr5e-05 | 0.5027 | 0.4727 | 0.5021 | 0.4912 | 0.4733 | 0.4884 ± 0.0148 |
bs8-e10-lr3e-05 | 0.489 | 0.4226 | 0.4656 | 0.4744 | 0.4511 | 0.4605 ± 0.0253 |
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 19, 2023
- Updated
- Oct 24, 2023