model improved

README.md

@@ -20,7 +20,7 @@ widget:
 
 ## Model Description
 
-This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from [roberta-classical-chinese-base-char](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-char). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
+This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from [roberta-classical-chinese-base-char](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-char). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).
 
 ## How to Use
 
@@ -43,5 +43,5 @@ Koichi Yasuoka: [Universal Dependencies Treebank of the Four Books in Classical
 
 ## See Also
 
-[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa models
+[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
 

config.json

@@ -4,62 +4,183 @@
   ],
   "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": "VERB",
-    "1": "SCONJ",
-    "2": "B-NOUN",
-    "3": "I-ADV",
-    "4": "ADP",
-    "5": "PART",
-    "6": "NOUN",
-    "7": "CCONJ",
-    "8": "I-NOUN",
-    "9": "SYM",
-    "10": "I-VERB",
-    "11": "B-PROPN",
-    "12": "PROPN",
-    "13": "I-PROPN",
-    "14": "I-NUM",
-    "15": "AUX",
-    "16": "ADV",
-    "17": "B-NUM",
-    "18": "INTJ",
-    "19": "NUM",
-    "20": "B-VERB",
-    "21": "PRON",
-    "22": "B-ADV"
+    "0": "ADP",
+    "1": "ADP|Degree=Equ",
+    "2": "ADV",
+    "3": "ADV|AdvType=Cau",
+    "4": "ADV|AdvType=Deg|Degree=Cmp",
+    "5": "ADV|AdvType=Deg|Degree=Pos",
+    "6": "ADV|AdvType=Deg|Degree=Sup",
+    "7": "ADV|AdvType=Tim",
+    "8": "ADV|AdvType=Tim|Aspect=Perf",
+    "9": "ADV|AdvType=Tim|Tense=Fut",
+    "10": "ADV|AdvType=Tim|Tense=Past",
+    "11": "ADV|AdvType=Tim|Tense=Pres",
+    "12": "ADV|Degree=Equ|VerbForm=Conv",
+    "13": "ADV|Degree=Pos|VerbForm=Conv",
+    "14": "ADV|Polarity=Neg",
+    "15": "ADV|Polarity=Neg|VerbForm=Conv",
+    "16": "ADV|VerbForm=Conv",
+    "17": "AUX|Mood=Des",
+    "18": "AUX|Mood=Nec",
+    "19": "AUX|Mood=Pot",
+    "20": "AUX|VerbType=Cop",
+    "21": "AUX|Voice=Pass",
+    "22": "B-ADV|VerbForm=Conv",
+    "23": "B-NOUN",
+    "24": "B-NOUN|Case=Loc",
+    "25": "B-NOUN|Case=Tem",
+    "26": "B-NUM",
+    "27": "B-NUM|NumType=Ord",
+    "28": "B-PROPN|Case=Loc|NameType=Geo",
+    "29": "B-PROPN|Case=Loc|NameType=Nat",
+    "30": "B-PROPN|NameType=Giv",
+    "31": "B-PROPN|NameType=Prs",
+    "32": "B-PROPN|NameType=Sur",
+    "33": "B-VERB",
+    "34": "B-VERB|Degree=Equ",
+    "35": "B-VERB|Degree=Pos",
+    "36": "B-VERB|VerbForm=Part",
+    "37": "CCONJ",
+    "38": "I-ADV|VerbForm=Conv",
+    "39": "I-NOUN",
+    "40": "I-NOUN|Case=Loc",
+    "41": "I-NOUN|Case=Tem",
+    "42": "I-NUM",
+    "43": "I-NUM|NumType=Ord",
+    "44": "I-PROPN|Case=Loc|NameType=Geo",
+    "45": "I-PROPN|Case=Loc|NameType=Nat",
+    "46": "I-PROPN|NameType=Giv",
+    "47": "I-PROPN|NameType=Prs",
+    "48": "I-PROPN|NameType=Sur",
+    "49": "I-VERB",
+    "50": "I-VERB|Degree=Equ",
+    "51": "I-VERB|Degree=Pos",
+    "52": "I-VERB|VerbForm=Part",
+    "53": "INTJ",
+    "54": "NOUN",
+    "55": "NOUN|Case=Loc",
+    "56": "NOUN|Case=Tem",
+    "57": "NOUN|NounType=Clf",
+    "58": "NUM",
+    "59": "NUM|NumType=Ord",
+    "60": "PART",
+    "61": "PRON|Person=1|PronType=Prs",
+    "62": "PRON|Person=2|PronType=Prs",
+    "63": "PRON|Person=3|PronType=Prs",
+    "64": "PRON|PronType=Dem",
+    "65": "PRON|PronType=Int",
+    "66": "PRON|PronType=Prs",
+    "67": "PRON|PronType=Prs|Reflex=Yes",
+    "68": "PROPN|Case=Loc|NameType=Geo",
+    "69": "PROPN|Case=Loc|NameType=Nat",
+    "70": "PROPN|NameType=Giv",
+    "71": "PROPN|NameType=Prs",
+    "72": "PROPN|NameType=Sur",
+    "73": "SCONJ",
+    "74": "SYM",
+    "75": "VERB",
+    "76": "VERB|Degree=Equ",
+    "77": "VERB|Degree=Equ|VerbForm=Part",
+    "78": "VERB|Degree=Pos",
+    "79": "VERB|Degree=Pos|VerbForm=Part",
+    "80": "VERB|Polarity=Neg",
+    "81": "VERB|Polarity=Neg|VerbForm=Part",
+    "82": "VERB|VerbForm=Part"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "ADP": 4,
-    "ADV": 16,
-    "AUX": 15,
-    "B-ADV": 22,
-    "B-NOUN": 2,
-    "B-NUM": 17,
-    "B-PROPN": 11,
-    "B-VERB": 20,
-    "CCONJ": 7,
-    "I-ADV": 3,
-    "I-NOUN": 8,
-    "I-NUM": 14,
-    "I-PROPN": 13,
-    "I-VERB": 10,
-    "INTJ": 18,
-    "NOUN": 6,
-    "NUM": 19,
-    "PART": 5,
-    "PRON": 21,
-    "PROPN": 12,
-    "SCONJ": 1,
-    "SYM": 9,
-    "VERB": 0
+    "ADP": 0,
+    "ADP|Degree=Equ": 1,
+    "ADV": 2,
+    "ADV|AdvType=Cau": 3,
+    "ADV|AdvType=Deg|Degree=Cmp": 4,
+    "ADV|AdvType=Deg|Degree=Pos": 5,
+    "ADV|AdvType=Deg|Degree=Sup": 6,
+    "ADV|AdvType=Tim": 7,
+    "ADV|AdvType=Tim|Aspect=Perf": 8,
+    "ADV|AdvType=Tim|Tense=Fut": 9,
+    "ADV|AdvType=Tim|Tense=Past": 10,
+    "ADV|AdvType=Tim|Tense=Pres": 11,
+    "ADV|Degree=Equ|VerbForm=Conv": 12,
+    "ADV|Degree=Pos|VerbForm=Conv": 13,
+    "ADV|Polarity=Neg": 14,
+    "ADV|Polarity=Neg|VerbForm=Conv": 15,
+    "ADV|VerbForm=Conv": 16,
+    "AUX|Mood=Des": 17,
+    "AUX|Mood=Nec": 18,
+    "AUX|Mood=Pot": 19,
+    "AUX|VerbType=Cop": 20,
+    "AUX|Voice=Pass": 21,
+    "B-ADV|VerbForm=Conv": 22,
+    "B-NOUN": 23,
+    "B-NOUN|Case=Loc": 24,
+    "B-NOUN|Case=Tem": 25,
+    "B-NUM": 26,
+    "B-NUM|NumType=Ord": 27,
+    "B-PROPN|Case=Loc|NameType=Geo": 28,
+    "B-PROPN|Case=Loc|NameType=Nat": 29,
+    "B-PROPN|NameType=Giv": 30,
+    "B-PROPN|NameType=Prs": 31,
+    "B-PROPN|NameType=Sur": 32,
+    "B-VERB": 33,
+    "B-VERB|Degree=Equ": 34,
+    "B-VERB|Degree=Pos": 35,
+    "B-VERB|VerbForm=Part": 36,
+    "CCONJ": 37,
+    "I-ADV|VerbForm=Conv": 38,
+    "I-NOUN": 39,
+    "I-NOUN|Case=Loc": 40,
+    "I-NOUN|Case=Tem": 41,
+    "I-NUM": 42,
+    "I-NUM|NumType=Ord": 43,
+    "I-PROPN|Case=Loc|NameType=Geo": 44,
+    "I-PROPN|Case=Loc|NameType=Nat": 45,
+    "I-PROPN|NameType=Giv": 46,
+    "I-PROPN|NameType=Prs": 47,
+    "I-PROPN|NameType=Sur": 48,
+    "I-VERB": 49,
+    "I-VERB|Degree=Equ": 50,
+    "I-VERB|Degree=Pos": 51,
+    "I-VERB|VerbForm=Part": 52,
+    "INTJ": 53,
+    "NOUN": 54,
+    "NOUN|Case=Loc": 55,
+    "NOUN|Case=Tem": 56,
+    "NOUN|NounType=Clf": 57,
+    "NUM": 58,
+    "NUM|NumType=Ord": 59,
+    "PART": 60,
+    "PRON|Person=1|PronType=Prs": 61,
+    "PRON|Person=2|PronType=Prs": 62,
+    "PRON|Person=3|PronType=Prs": 63,
+    "PRON|PronType=Dem": 64,
+    "PRON|PronType=Int": 65,
+    "PRON|PronType=Prs": 66,
+    "PRON|PronType=Prs|Reflex=Yes": 67,
+    "PROPN|Case=Loc|NameType=Geo": 68,
+    "PROPN|Case=Loc|NameType=Nat": 69,
+    "PROPN|NameType=Giv": 70,
+    "PROPN|NameType=Prs": 71,
+    "PROPN|NameType=Sur": 72,
+    "SCONJ": 73,
+    "SYM": 74,
+    "VERB": 75,
+    "VERB|Degree=Equ": 76,
+    "VERB|Degree=Equ|VerbForm=Part": 77,
+    "VERB|Degree=Pos": 78,
+    "VERB|Degree=Pos|VerbForm=Part": 79,
+    "VERB|Polarity=Neg": 80,
+    "VERB|Polarity=Neg|VerbForm=Part": 81,
+    "VERB|VerbForm=Part": 82
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -69,7 +190,8 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "tokenizer_class": "BertTokenizer",
-  "transformers_version": "4.7.0",
+  "torch_dtype": "float32",
+  "transformers_version": "4.19.4",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 26318

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 422813383
+oid sha256:fb54d483487f155a70345046d59c5a6290aeaa89c1f8cbb829ef4af0275f4e7f
+size 422981361

supar.model

@@ -1,3 +1,3 @@
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-size 472843560
+oid sha256:8ced5ea7007f740b00c947d8021b52f4b465b49dfc8af572805b5893fa5b2f1d
+size 473017445

tokenizer_config.json

@@ -1 +1 @@
-{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "model_max_length": 512, "do_basic_tokenize": true, "never_split": null}
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "model_max_length": 512, "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}