---
license: cc-by-nc-4.0
metrics:
- accuracy
- f1
datasets:
- orai-nlp/basqueGLUE
language:
- eu
pipeline_tag: token-classification
tags:
- NERC
---



  [ElhBERTeu](https://huggingface.co/orai-nlp/ElhBERTeu) model finetuned on the NERC dataset from [BasqueGlue](https://huggingface.co/datasets/orai-nlp/basqueGLUE). 
 

 In Domain and Out-of-domain tasks' train and dev datasets were merged for training. Reported performance results are tested on the merged tests dataset after training for 10 epochs (batch size 32, learning rate  3e-5).

Results on test set:

* accuracy = 0.9785551028520322
* f1 = 0.8665899340797322
* loss = 0.11313809949144367
* precision = 0.8650511802799248
* recall = 0.8681341719077568

Per class results: 

| CLASS    | precision | recall | F1 score | support |
|----------|:---------:|:------:|:--------:|:-------:|
|      LOC |   89.43%  | 87.95% |   88.68  |   1844  |
|     MISC |   70.72%  | 67.75% |   69.20  |   502   |
|      ORG |   80.04%  | 84.32% |   82.12  |   1082  |
|      PER |   93.52%  | 94.57% |   94.04  |   1359  |
|          |           |        |          |         |
|   GLOBAL |   86.51%  | 86.81% |   86.66  |         |


Tagset: 
["O", "B-ORG", "B-PER", "I-PER", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC"]


Finetuning details: 10 epochs, batch size 32, learning rate  3e-5.