/
insults_xlm_roberta_base.json
106 lines (106 loc) · 2.74 KB
/
insults_xlm_roberta_base.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
{
"dataset_reader": {
"class_name": "basic_classification_reader",
"x": "Comment",
"y": "Class",
"data_path": "{DOWNLOADS_PATH}/insults_data"
},
"dataset_iterator": {
"class_name": "basic_classification_iterator",
"seed": 42
},
"chainer": {
"in": ["x"],
"in_y": ["y"],
"pipe": [
{
"class_name": "torch_transformers_preprocessor",
"vocab_file": "{BASE_MODEL}",
"do_lower_case": false,
"max_seq_length": 128,
"in": ["x"],
"out": ["bert_features"]
},
{
"id": "classes_vocab",
"class_name": "simple_vocab",
"fit_on": ["y"],
"save_path": "{MODEL_PATH}/classes.dict",
"load_path": "{MODEL_PATH}/classes.dict",
"in": ["y"],
"out": ["y_ids"]
},
{
"in": ["y_ids"],
"out": ["y_onehot"],
"class_name": "one_hotter",
"depth": "#classes_vocab.len",
"single_vector": true
},
{
"class_name": "torch_transformers_classifier",
"n_classes": "#classes_vocab.len",
"return_probas": true,
"pretrained_bert": "{BASE_MODEL}",
"save_path": "{MODEL_PATH}/model",
"load_path": "{MODEL_PATH}/model",
"optimizer": "AdamW",
"optimizer_parameters": {
"lr": 1e-05
},
"learning_rate_drop_patience": 3,
"learning_rate_drop_div": 2.0,
"in": ["bert_features"],
"in_y": ["y_ids"],
"out": ["y_pred_probas"]
},
{
"in": ["y_pred_probas"],
"out": ["y_pred_ids"],
"class_name": "proba2labels",
"max_proba": true
},
{
"in": ["y_pred_ids"],
"out": ["y_pred_labels"],
"ref": "classes_vocab"
}
],
"out": ["y_pred_labels"]
},
"train": {
"batch_size": 256,
"metrics": [
"accuracy",
"f1_weighted",
"f1_macro"
],
"validation_patience": 10,
"val_every_n_epochs": 1,
"log_every_n_epochs": 1,
"show_examples": false,
"evaluation_targets": ["train", "valid"],
"class_name": "torch_trainer",
"tensorboard_log_dir": "{MODEL_PATH}/",
"pytest_max_batches": 2
},
"metadata": {
"variables": {
"BASE_MODEL": "xlm-roberta-base",
"ROOT_PATH": "~/.deeppavlov",
"DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
"MODELS_PATH": "{ROOT_PATH}/models",
"MODEL_PATH": "{MODELS_PATH}/insults_classifier/{BASE_MODEL}"
},
"download": [
{
"url": "http://files.deeppavlov.ai/datasets/insults_data.tar.gz",
"subdir": "{DOWNLOADS_PATH}"
},
{
"url": "http://files.deeppavlov.ai/v1/classifiers/insults/insults_xlm_roberta_base.tar.gz",
"subdir": "{MODEL_PATH}"
}
]
}
}