Downloads · 30 days
0
hmbench-ajmc-fr-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-4
stefan-it/hmbench-ajmc-fr-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-4
hmbench-ajmc-fr-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-4 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 AjMC French NER Dataset using hmBERT as backbone LM.
Access
Public
Updated Oct 17, 2023
Repo size
443 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt443 MB · 100%
At a glance
- Task
- Token Classification
- Library
- flair
- License
- mit
- Access
- Public
- Created
- Oct 13, 2023
- Updated
- Oct 17, 2023
- SHA
- 43851177
Try a prompt
Base models
Model card
From the Hugging Face model README
Fine-tuned Flair Model on AjMC French NER Dataset (HIPE-2022)
This Flair model was fine-tuned on the AjMC French NER Dataset using hmBERT as backbone LM.
The AjMC dataset consists of NE-annotated historical commentaries in the field of Classics, and was created in the context of the Ajax MultiCommentary project.
The following NEs were annotated: pers, work, loc, object, date and scope.
Results
We performed a hyper-parameter search over the following parameters with 5 different seeds per configuration:
- Batch Sizes:
[8, 4] - Learning Rates:
[3e-05, 5e-05]
And report micro F1-score on development set:
| Configuration | Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Avg. |
|---|---|---|---|---|---|---|
| bs4-e10-lr5e-05 | 0.8436 | 0.8287 | 0.8475 | 0.8455 | 0.8553 | 84.41 ± 0.87 |
| bs8-e10-lr3e-05 | 0.8228 | 0.8407 | 0.8557 | 0.8532 | 0.8385 | 84.22 ± 1.18 |
| bs4-e10-lr3e-05 | 0.8202 | 0.8519 | 0.8434 | 0.8418 | 0.8436 | 84.02 ± 1.06 |
| bs8-e10-lr5e-05 | 0.8333 | 0.8338 | 0.8394 | 0.8409 | 0.8504 | 83.96 ± 0.62 |
The training log and TensorBoard logs (only for hmByT5 and hmTEAMS based models) 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 13, 2023
- Updated
- Oct 17, 2023