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README.md

@@ -1,3 +1,100 @@
 ---
+
+language:
+
+- ca
+
 license: apache-2.0
+
+tags:
+
+- "catalan"
+
+- "part of speech tagging"
+
+- "pos"
+
+- "CaText"
+
+- "Catalan Textual Corpus"
+
+datasets:
+
+- "universal_dependencies"
+
+metrics:
+
+- f1
+
+inference:
+  parameters:
+    aggregation_strategy: "first"
+    
+model-index:
+- name: roberta-base-ca-v2-cased-pos
+  results:
+  - task: 
+      type: token-classification 
+    dataset:
+      type:   universal_dependencies
+      name: Ancora-ca-POS
+    metrics:
+      - name: F1
+        type: f1
+        value: 0.9909
+
+widget:
+
+- text: "Em dic Lluïsa i visc a Santa Maria del Camí." 
+
+- text: "L'Aina, la Berta i la Norma són molt amigues."
+
+- text: "El Martí llegeix el Cavall Fort."
+
 ---
+
+# Catalan BERTa-v2 (roberta-base-ca-v2) finetuned for Part-of-speech-tagging (POS)
+
+The **roberta-base-ca-v2-cased-pos** is a Part-of-speech-tagging (POS) model for the Catalan language fine-tuned from the [roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) model, a [RoBERTa](https://arxiv.org/abs/1907.11692) base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the roberta-base-ca-v2 model card for more details).
+
+## Datasets
+We used the POS dataset in Catalan from the [Universal Dependencies Treebank](https://huggingface.co/datasets/universal_dependencies) we refer to _Ancora-ca-pos_ for training and evaluation.
+
+## Evaluation and results
+We evaluated the _roberta-base-ca-v2-cased-pos_ on the Ancora-ca-ner test set against standard multilingual and monolingual baselines:
+
+| Model        | Ancora-ca-pos (F1)   | 
+| ------------|:-------------|
+| roberta-base-ca-v2-cased-pos |99.09 |
+| roberta-base-ca-cased-pos | **99.10** |
+| mBERT       | 98.98 |
+| XLM-RoBERTa | 99.03 | 
+
+For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/club).
+
+## Citing 
+If you use any of these resources (datasets or models) in your work, please cite our latest paper:
+```bibtex
+@inproceedings{armengol-estape-etal-2021-multilingual,
+    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
+    author = "Armengol-Estap{\'e}, Jordi  and
+      Carrino, Casimiro Pio  and
+      Rodriguez-Penagos, Carlos  and
+      de Gibert Bonet, Ona  and
+      Armentano-Oller, Carme  and
+      Gonzalez-Agirre, Aitor  and
+      Melero, Maite  and
+      Villegas, Marta",
+    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
+    month = aug,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.findings-acl.437",
+    doi = "10.18653/v1/2021.findings-acl.437",
+    pages = "4933--4946",
+}
+```
+
+### Funding
+This work was funded by the [Catalan Government](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [AINA project.](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).

config.json

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+{
+  "_name_or_path": "projecte-aina/roberta-base-ca-v2-cased-pos",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "finetuning_task": "upos",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "NOUN",
+    "1": "PUNCT",
+    "2": "ADP",
+    "3": "NUM",
+    "4": "SYM",
+    "5": "SCONJ",
+    "6": "ADJ",
+    "7": "PART",
+    "8": "DET",
+    "9": "CCONJ",
+    "10": "PROPN",
+    "11": "PRON",
+    "12": "X",
+    "13": "_",
+    "14": "ADV",
+    "15": "INTJ",
+    "16": "VERB",
+    "17": "AUX"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NOUN": 0,
+    "PUNCT": 1,
+    "PROPN": 10,
+    "PRON": 11,
+    "X": 12,
+    "_": 13,
+    "ADV": 14,
+    "INTJ": 15,
+    "VERB": 16,
+    "AUX": 17,
+    "ADP": 2,
+    "NUM": 3,
+    "SYM": 4,
+    "SCONJ": 5,
+    "ADJ": 6,
+    "PART": 7,
+    "DET": 8,
+    "CCONJ": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.6.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1c5305f84db885bba3955e10b01ce95deb7bea9e5e6b95e4f573c7e1cadba1c8
+size 496351025

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}}

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": true, "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": "/gpfs/projects/bsc88/BERTs/models/roberta_base_ca_jsc/transformed_lr0.0005"}