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--- |
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language: es |
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thumbnail: https://i.imgur.com/jgBdimh.png |
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--- |
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# Spanish BERT (BETO) + NER |
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This model is a fine-tuned on [NER-C](https://www.kaggle.com/nltkdata/conll-corpora) version of the Spanish BERT cased [(BETO)](https://github.com/dccuchile/beto) for **NER** downstream task. |
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## Details of the downstream task (NER) - Dataset |
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- [Dataset: CONLL Corpora ES](https://www.kaggle.com/nltkdata/conll-corpora) |
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I preprocessed the dataset and split it as train / dev (80/20) |
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| Dataset | # Examples | |
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| ---------------------- | ----- | |
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| Train | 8.7 K | |
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| Dev | 2.2 K | |
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- [Fine-tune on NER script provided by Huggingface](https://github.com/huggingface/transformers/blob/master/examples/token-classification/run_ner_old.py) |
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- Labels covered: |
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``` |
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B-LOC |
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B-MISC |
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B-ORG |
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B-PER |
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I-LOC |
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I-MISC |
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I-ORG |
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I-PER |
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O |
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``` |
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## Metrics on evaluation set: |
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| Metric | # score | |
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| :------------------------------------------------------------------------------------: | :-------: | |
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| F1 | **90.17** |
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| Precision | **89.86** | |
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| Recall | **90.47** | |
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## Comparison: |
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| Model | # F1 score |Size(MB)| |
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| :--------------------------------------------------------------------------------------------------------------: | :-------: |:------| |
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| bert-base-spanish-wwm-cased (BETO) | 88.43 | 421 |
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| [bert-spanish-cased-finetuned-ner (this one)](https://huggingface.co/mrm8488/bert-spanish-cased-finetuned-ner) | **90.17** | 420 | |
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| Best Multilingual BERT | 87.38 | 681 | |
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|[TinyBERT-spanish-uncased-finetuned-ner](https://huggingface.co/mrm8488/TinyBERT-spanish-uncased-finetuned-ner) | 70.00 | **55** | |
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## Model in action |
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Fast usage with **pipelines**: |
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```python |
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from transformers import pipeline |
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nlp_ner = pipeline( |
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"ner", |
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model="mrm8488/bert-spanish-cased-finetuned-ner", |
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tokenizer=( |
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'mrm8488/bert-spanish-cased-finetuned-ner', |
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{"use_fast": False} |
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)) |
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text = 'Mis amigos están pensando viajar a Londres este verano' |
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nlp_ner(text) |
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#Output: [{'entity': 'B-LOC', 'score': 0.9998720288276672, 'word': 'Londres'}] |
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``` |
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> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488) |
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> Made with <span style="color: #e25555;">♥</span> in Spain |
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