Hugging Face's logo

aningddd
/
xlmr_multi_classification

Text Classification
Transformers
PyTorch
xlm-roberta
Inference Endpoints
Model card Files Community
1
aningddd commited on
Commit
c23b76c
·
1 Parent(s): a615602

Upload XLMRobertaForSequenceClassification

Browse files
Files changed (2) hide show
  1. config.json +113 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "xlm-roberta-base",
3
+ "architectures": [
4
+ "XLMRobertaForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "category_Accuracy/Addition_1",
15
+ "1": "category_Accuracy/Addition_5",
16
+ "2": "category_Accuracy/Mistranslation_1",
17
+ "3": "category_Accuracy/Mistranslation_5",
18
+ "4": "category_Accuracy/Omission_1",
19
+ "5": "category_Accuracy/Omission_5",
20
+ "6": "category_Accuracy/Source language fragment_1",
21
+ "7": "category_Accuracy/Source language fragment_5",
22
+ "8": "category_Fluency/Character encoding_1",
23
+ "9": "category_Fluency/Character encoding_5",
24
+ "10": "category_Fluency/Grammar_1",
25
+ "11": "category_Fluency/Grammar_5",
26
+ "12": "category_Fluency/Inconsistency_1",
27
+ "13": "category_Fluency/Inconsistency_5",
28
+ "14": "category_Fluency/Punctuation_0.1",
29
+ "15": "category_Fluency/Register_1",
30
+ "16": "category_Fluency/Register_5",
31
+ "17": "category_Fluency/Spelling_1",
32
+ "18": "category_Fluency/Spelling_5",
33
+ "19": "category_Locale convention/Currency format_1",
34
+ "20": "category_Locale convention/Currency format_5",
35
+ "21": "category_Locale convention/Date format_1",
36
+ "22": "category_Locale convention/Date format_5",
37
+ "23": "category_Locale convention/Time format_1",
38
+ "24": "category_Other_1",
39
+ "25": "category_Other_5",
40
+ "26": "category_Source error_1",
41
+ "27": "category_Source error_5",
42
+ "28": "category_Style/Awkward_1",
43
+ "29": "category_Style/Awkward_5",
44
+ "30": "category_Terminology/Inappropriate for context_1",
45
+ "31": "category_Terminology/Inappropriate for context_5",
46
+ "32": "category_Terminology/Inconsistent_1",
47
+ "33": "category_Terminology/Inconsistent_5",
48
+ "34": "category_Locale convention/Name format_1",
49
+ "35": "category_Locale convention/Name format_5",
50
+ "36": "category_Non-translation!_25",
51
+ "37": "category_Locale convention/Address format_1",
52
+ "38": "category_Locale convention/Address format_5",
53
+ "39": "category_Locale convention/Telephone format_1"
54
+ },
55
+ "initializer_range": 0.02,
56
+ "intermediate_size": 3072,
57
+ "label2id": {
58
+ "category_Accuracy/Addition_1": 0,
59
+ "category_Accuracy/Addition_5": 1,
60
+ "category_Accuracy/Mistranslation_1": 2,
61
+ "category_Accuracy/Mistranslation_5": 3,
62
+ "category_Accuracy/Omission_1": 4,
63
+ "category_Accuracy/Omission_5": 5,
64
+ "category_Accuracy/Source language fragment_1": 6,
65
+ "category_Accuracy/Source language fragment_5": 7,
66
+ "category_Fluency/Character encoding_1": 8,
67
+ "category_Fluency/Character encoding_5": 9,
68
+ "category_Fluency/Grammar_1": 10,
69
+ "category_Fluency/Grammar_5": 11,
70
+ "category_Fluency/Inconsistency_1": 12,
71
+ "category_Fluency/Inconsistency_5": 13,
72
+ "category_Fluency/Punctuation_0.1": 14,
73
+ "category_Fluency/Register_1": 15,
74
+ "category_Fluency/Register_5": 16,
75
+ "category_Fluency/Spelling_1": 17,
76
+ "category_Fluency/Spelling_5": 18,
77
+ "category_Locale convention/Address format_1": 37,
78
+ "category_Locale convention/Address format_5": 38,
79
+ "category_Locale convention/Currency format_1": 19,
80
+ "category_Locale convention/Currency format_5": 20,
81
+ "category_Locale convention/Date format_1": 21,
82
+ "category_Locale convention/Date format_5": 22,
83
+ "category_Locale convention/Name format_1": 34,
84
+ "category_Locale convention/Name format_5": 35,
85
+ "category_Locale convention/Telephone format_1": 39,
86
+ "category_Locale convention/Time format_1": 23,
87
+ "category_Non-translation!_25": 36,
88
+ "category_Other_1": 24,
89
+ "category_Other_5": 25,
90
+ "category_Source error_1": 26,
91
+ "category_Source error_5": 27,
92
+ "category_Style/Awkward_1": 28,
93
+ "category_Style/Awkward_5": 29,
94
+ "category_Terminology/Inappropriate for context_1": 30,
95
+ "category_Terminology/Inappropriate for context_5": 31,
96
+ "category_Terminology/Inconsistent_1": 32,
97
+ "category_Terminology/Inconsistent_5": 33
98
+ },
99
+ "layer_norm_eps": 1e-05,
100
+ "max_position_embeddings": 514,
101
+ "model_type": "xlm-roberta",
102
+ "num_attention_heads": 12,
103
+ "num_hidden_layers": 12,
104
+ "output_past": true,
105
+ "pad_token_id": 1,
106
+ "position_embedding_type": "absolute",
107
+ "problem_type": "multi_label_classification",
108
+ "torch_dtype": "float32",
109
+ "transformers_version": "4.33.3",
110
+ "type_vocab_size": 1,
111
+ "use_cache": true,
112
+ "vocab_size": 250002
113
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47d634d72f906defb612d4ffd2e6ec167629134de4c023c655aa330a28561a41
3
+ size 1112366577