# NER
We trained a Named Entity Recognition which is trained with <a href="https://huggingface.co/dbmdz/convbert-base-turkish-cased"> Convberturk </a> language model

## Model Parameters
Batch size : 32 \
Epoch : 5 \
Maximum sequence length : 512

## Dataset
We used <a href="https://arxiv.org/abs/2003.11080"> Xtreme Dataset</a> in order to train, test and validate our model.
We trained convbert model with merging train and extra files and we got the results on validation file.

## Results
The results are shown below

| Precision | Recall | F1 | loss |
|:-----------------:|:--------------:|:----------:|:----------:|
| 95.83 | 96.84 | 96.33 | 0.0665