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.

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:

More details can be found in this repository.

A hyper-parameter search with 5 different seeds per configuration is performed and micro F1-score on development set is reported:

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.