model dump

README.md

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+
+---
+language:
+- hr
+license: apache-2.0
+library_name: transformers
+tags:
+- part-of-speech
+- token-classification
+datasets:
+- universal_dependencies
+metrics:
+- accuracy
+
+model-index:
+- name: xlm-roberta-base-ft-udpos28-hr
+  results:
+  - task: 
+      type: token-classification
+      name: Part-of-Speech Tagging
+    dataset:
+      type: universal_dependencies
+      name: Universal Dependencies v2.8
+    metrics:
+      - type: accuracy
+        name: English Test accuracy
+        value: 83.7
+      - type: accuracy
+        name: Dutch Test accuracy
+        value: 83.7
+      - type: accuracy
+        name: German Test accuracy
+        value: 83.2
+      - type: accuracy
+        name: Italian Test accuracy
+        value: 83.2
+      - type: accuracy
+        name: French Test accuracy
+        value: 84.2
+      - type: accuracy
+        name: Spanish Test accuracy
+        value: 87.8
+      - type: accuracy
+        name: Russian Test accuracy
+        value: 91.4
+      - type: accuracy
+        name: Swedish Test accuracy
+        value: 85.4
+      - type: accuracy
+        name: Norwegian Test accuracy
+        value: 79.0
+      - type: accuracy
+        name: Danish Test accuracy
+        value: 83.8
+      - type: accuracy
+        name: Low Saxon Test accuracy
+        value: 43.5
+      - type: accuracy
+        name: Akkadian Test accuracy
+        value: 32.5
+      - type: accuracy
+        name: Armenian Test accuracy
+        value: 84.7
+      - type: accuracy
+        name: Welsh Test accuracy
+        value: 67.9
+      - type: accuracy
+        name: Old East Slavic Test accuracy
+        value: 76.8
+      - type: accuracy
+        name: Albanian Test accuracy
+        value: 75.2
+      - type: accuracy
+        name: Slovenian Test accuracy
+        value: 87.0
+      - type: accuracy
+        name: Guajajara Test accuracy
+        value: 28.3
+      - type: accuracy
+        name: Kurmanji Test accuracy
+        value: 78.5
+      - type: accuracy
+        name: Turkish Test accuracy
+        value: 75.9
+      - type: accuracy
+        name: Finnish Test accuracy
+        value: 83.2
+      - type: accuracy
+        name: Indonesian Test accuracy
+        value: 81.3
+      - type: accuracy
+        name: Ukrainian Test accuracy
+        value: 93.2
+      - type: accuracy
+        name: Polish Test accuracy
+        value: 92.3
+      - type: accuracy
+        name: Portuguese Test accuracy
+        value: 84.6
+      - type: accuracy
+        name: Kazakh Test accuracy
+        value: 79.4
+      - type: accuracy
+        name: Latin Test accuracy
+        value: 77.4
+      - type: accuracy
+        name: Old French Test accuracy
+        value: 54.3
+      - type: accuracy
+        name: Buryat Test accuracy
+        value: 61.1
+      - type: accuracy
+        name: Kaapor Test accuracy
+        value: 20.0
+      - type: accuracy
+        name: Korean Test accuracy
+        value: 60.7
+      - type: accuracy
+        name: Estonian Test accuracy
+        value: 85.7
+      - type: accuracy
+        name: Croatian Test accuracy
+        value: 98.3
+      - type: accuracy
+        name: Gothic Test accuracy
+        value: 16.5
+      - type: accuracy
+        name: Swiss German Test accuracy
+        value: 44.8
+      - type: accuracy
+        name: Assyrian Test accuracy
+        value: 15.9
+      - type: accuracy
+        name: North Sami Test accuracy
+        value: 35.3
+      - type: accuracy
+        name: Naija Test accuracy
+        value: 39.6
+      - type: accuracy
+        name: Latvian Test accuracy
+        value: 86.5
+      - type: accuracy
+        name: Chinese Test accuracy
+        value: 41.2
+      - type: accuracy
+        name: Tagalog Test accuracy
+        value: 70.9
+      - type: accuracy
+        name: Bambara Test accuracy
+        value: 28.2
+      - type: accuracy
+        name: Lithuanian Test accuracy
+        value: 86.1
+      - type: accuracy
+        name: Galician Test accuracy
+        value: 86.0
+      - type: accuracy
+        name: Vietnamese Test accuracy
+        value: 66.5
+      - type: accuracy
+        name: Greek Test accuracy
+        value: 85.8
+      - type: accuracy
+        name: Catalan Test accuracy
+        value: 85.5
+      - type: accuracy
+        name: Czech Test accuracy
+        value: 94.8
+      - type: accuracy
+        name: Erzya Test accuracy
+        value: 47.2
+      - type: accuracy
+        name: Bhojpuri Test accuracy
+        value: 49.2
+      - type: accuracy
+        name: Thai Test accuracy
+        value: 63.4
+      - type: accuracy
+        name: Marathi Test accuracy
+        value: 87.1
+      - type: accuracy
+        name: Basque Test accuracy
+        value: 75.0
+      - type: accuracy
+        name: Slovak Test accuracy
+        value: 95.0
+      - type: accuracy
+        name: Kiche Test accuracy
+        value: 35.8
+      - type: accuracy
+        name: Yoruba Test accuracy
+        value: 28.5
+      - type: accuracy
+        name: Warlpiri Test accuracy
+        value: 41.3
+      - type: accuracy
+        name: Tamil Test accuracy
+        value: 84.8
+      - type: accuracy
+        name: Maltese Test accuracy
+        value: 23.7
+      - type: accuracy
+        name: Ancient Greek Test accuracy
+        value: 62.1
+      - type: accuracy
+        name: Icelandic Test accuracy
+        value: 79.9
+      - type: accuracy
+        name: Mbya Guarani Test accuracy
+        value: 31.9
+      - type: accuracy
+        name: Urdu Test accuracy
+        value: 65.0
+      - type: accuracy
+        name: Romanian Test accuracy
+        value: 82.5
+      - type: accuracy
+        name: Persian Test accuracy
+        value: 79.4
+      - type: accuracy
+        name: Apurina Test accuracy
+        value: 38.4
+      - type: accuracy
+        name: Japanese Test accuracy
+        value: 30.1
+      - type: accuracy
+        name: Hungarian Test accuracy
+        value: 83.8
+      - type: accuracy
+        name: Hindi Test accuracy
+        value: 67.8
+      - type: accuracy
+        name: Classical Chinese Test accuracy
+        value: 27.0
+      - type: accuracy
+        name: Komi Permyak Test accuracy
+        value: 44.9
+      - type: accuracy
+        name: Faroese Test accuracy
+        value: 77.3
+      - type: accuracy
+        name: Sanskrit Test accuracy
+        value: 35.6
+      - type: accuracy
+        name: Livvi Test accuracy
+        value: 65.5
+      - type: accuracy
+        name: Arabic Test accuracy
+        value: 82.3
+      - type: accuracy
+        name: Wolof Test accuracy
+        value: 32.2
+      - type: accuracy
+        name: Bulgarian Test accuracy
+        value: 92.6
+      - type: accuracy
+        name: Akuntsu Test accuracy
+        value: 37.0
+      - type: accuracy
+        name: Makurap Test accuracy
+        value: 17.8
+      - type: accuracy
+        name: Kangri Test accuracy
+        value: 47.9
+      - type: accuracy
+        name: Breton Test accuracy
+        value: 62.2
+      - type: accuracy
+        name: Telugu Test accuracy
+        value: 82.4
+      - type: accuracy
+        name: Cantonese Test accuracy
+        value: 45.6
+      - type: accuracy
+        name: Old Church Slavonic Test accuracy
+        value: 48.9
+      - type: accuracy
+        name: Karelian Test accuracy
+        value: 71.7
+      - type: accuracy
+        name: Upper Sorbian Test accuracy
+        value: 79.4
+      - type: accuracy
+        name: South Levantine Arabic Test accuracy
+        value: 68.9
+      - type: accuracy
+        name: Komi Zyrian Test accuracy
+        value: 39.6
+      - type: accuracy
+        name: Irish Test accuracy
+        value: 65.4
+      - type: accuracy
+        name: Nayini Test accuracy
+        value: 42.3
+      - type: accuracy
+        name: Munduruku Test accuracy
+        value: 28.8
+      - type: accuracy
+        name: Manx Test accuracy
+        value: 35.7
+      - type: accuracy
+        name: Skolt Sami Test accuracy
+        value: 33.7
+      - type: accuracy
+        name: Afrikaans Test accuracy
+        value: 79.8
+      - type: accuracy
+        name: Old Turkish Test accuracy
+        value: 37.1
+      - type: accuracy
+        name: Tupinamba Test accuracy
+        value: 33.1
+      - type: accuracy
+        name: Belarusian Test accuracy
+        value: 91.6
+      - type: accuracy
+        name: Serbian Test accuracy
+        value: 97.5
+      - type: accuracy
+        name: Moksha Test accuracy
+        value: 45.7
+      - type: accuracy
+        name: Western Armenian Test accuracy
+        value: 77.7
+      - type: accuracy
+        name: Scottish Gaelic Test accuracy
+        value: 57.7
+      - type: accuracy
+        name: Khunsari Test accuracy
+        value: 36.5
+      - type: accuracy
+        name: Hebrew Test accuracy
+        value: 85.4
+      - type: accuracy
+        name: Uyghur Test accuracy
+        value: 72.2
+      - type: accuracy
+        name: Chukchi Test accuracy
+        value: 35.4
+---
+
+# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Croatian
+
+This model is part of our paper called:
+
+- Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
+    
+Check the [Space]([Space](https://huggingface.co/spaces/wietsedv/xpos)) for more details.

config.json

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+{
+  "_name_or_path": "output/xlm-roberta-base_ft_udpos28-hr/1d6ca3e8",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ADJ",
+    "1": "ADP",
+    "2": "ADV",
+    "3": "AUX",
+    "4": "CCONJ",
+    "5": "DET",
+    "6": "INTJ",
+    "7": "NOUN",
+    "8": "NUM",
+    "9": "PART",
+    "10": "PRON",
+    "11": "PROPN",
+    "12": "PUNCT",
+    "13": "SCONJ",
+    "14": "SYM",
+    "15": "VERB",
+    "16": "X"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ADJ": 0,
+    "ADP": 1,
+    "ADV": 2,
+    "AUX": 3,
+    "CCONJ": 4,
+    "DET": 5,
+    "INTJ": 6,
+    "NOUN": 7,
+    "NUM": 8,
+    "PART": 9,
+    "PRON": 10,
+    "PROPN": 11,
+    "PUNCT": 12,
+    "SCONJ": 13,
+    "SYM": 14,
+    "VERB": 15,
+    "X": 16
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c95eed2cad47ebbd65290250a48a3819864352f4426eb5fd7ad23eeca952f00b
+size 1109946481

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "output/xlm-roberta-base_ft_udpos28-hr/1d6ca3e8", "tokenizer_class": "XLMRobertaTokenizer"}

train.args

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+udpos -tt=token-classification -tn=udpos28 -mi=xlm-roberta-base -mt=ft --learning_rate=5e-5 --eval_steps=1000 --eval_batch_size=10 --train_batch_size=10 --num_train_epochs=3 --multi