Asier Gutiérrez Fandiño
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Browse files- README.md +44 -0
- config.json +65 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
README.md
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---
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language:
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- es
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license: apache-2.0
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tags:
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- "national library of spain"
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- "spanish"
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- "bne"
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- "capitel"
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- "ner"
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datasets:
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- "bne"
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- "capitel"
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metrics:
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- "f1"
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---
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# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
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RoBERTa-base-bne is a transformer-based masked language model for the Spanish language. It is based on the [RoBERTa](https://arxiv.org/abs/1907.11692) base model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
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Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-base-bne
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## Dataset
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The dataset used is the one from the [CAPITEL competition at IberLEF 2020](https://sites.google.com/view/capitel2020) (sub-task 1).
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## Evaluation and results
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F1 Score: 0.8960
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For evaluation details visit our [GitHub repository](https://github.com/PlanTL-SANIDAD/lm-spanish).
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## Citing
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Check out our paper for all the details: https://arxiv.org/abs/2107.07253
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```
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@misc{gutierrezfandino2021spanish,
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title={Spanish Language Models},
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author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquín Silveira-Ocampo and Casimiro Pio Carrino and Aitor Gonzalez-Agirre and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Marta Villegas},
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year={2021},
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eprint={2107.07253},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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config.json
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{
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"_name_or_path": "../models/bne-base",
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"finetuning_task": "ner",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "B_OTH",
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"1": "I_OTH",
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"2": "E_OTH",
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"3": "S_ORG",
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"4": "S_OTH",
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"5": "B_PER",
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"6": "E_PER",
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"7": "B_ORG",
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"8": "E_ORG",
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"9": "S_LOC",
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"10": "S_PER",
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"11": "B_LOC",
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"12": "E_LOC",
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"13": "I_PER",
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"14": "I_ORG",
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"15": "I_LOC",
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"16": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B_OTH": 0,
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"I_OTH": 1,
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"E_OTH": 2,
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"S_ORG": 3,
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"S_OTH": 4,
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"B_PER": 5,
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"E_PER": 6,
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"B_ORG": 7,
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"E_ORG": 8,
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"S_LOC": 9,
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"S_PER": 10,
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"B_LOC": 11,
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"E_LOC": 12,
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"I_PER": 13,
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"I_ORG": 14,
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"I_LOC": 15,
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"O": 16
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.6.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50262
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3793b143635ec31d9848367e697c0a6965f56eb4b3ce7872612986a8851ad67
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size 496347953
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special_tokens_map.json
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{"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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tokenizer.json
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tokenizer_config.json
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{"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "../models/bne-base"}
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vocab.json
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