🇬🇪 Georgian NER Models
Collection
My fine-tuned NER models for Georgian
•
5 items
•
Updated
Fine-tuned English-Georgian NER Model with Flair
This Flair NER model was fine-tuned on the WikiANN dataset (Rahimi et al. splits) using XLM-R Large as backbone LM.
Notice: The dataset is very problematic, because it was automatically constructed.
We did manually inspect the development split of the Georgian data and found
a lot of bad labeled examples, e.g. DVD ( 💿 ) as ORG.
Fine-Tuning
The latest Flair version is used for fine-tuning.
We use English and Georgian training splits for fine-tuning and the development set of Georgian for evaluation.
A hyper-parameter search over the following parameters with 5 different seeds per configuration is performed:
- Batch Sizes: [
4] - Learning Rates: [
5e-06]
More details can be found in this repository.
Results
A hyper-parameter search with 5 different seeds per configuration is performed and micro F1-score on development set is reported:
| Configuration | Seed 1 | Seed 2 | Seed 3 | Seed 4 | Seed 5 | Average |
|---|---|---|---|---|---|---|
bs4-e10-lr5e-06 |
0.9005 | 0.9012 | 0.9069 | 0.905 | 0.9048 | 0.9037 ± 0.0027 |
The result in bold shows the performance of this model.
Additionally, the Flair training log and TensorBoard logs are also uploaded to the model hub.
- Downloads last month
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-3
Base model
FacebookAI/xlm-roberta-large