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  1. .gitattributes +9 -0
  2. README.md +147 -3
  3. TerminalCode.txt +47 -0
  4. corpus/config.cfg +179 -0
  5. corpus/dev.spacy +0 -0
  6. corpus/labels/ner.json +89 -0
  7. corpus/labels/parser.json +118 -0
  8. corpus/labels/tagger.json +52 -0
  9. corpus/labels/textcat_multilabel.json +7 -0
  10. corpus/train.spacy +3 -0
  11. data/eval.jsonl +0 -0
  12. data/firstStep_file.jsonl +0 -0
  13. data/five_examples_annotated.jsonl +5 -0
  14. data/goldenEval.jsonl +0 -0
  15. data/thirdStep_file.jsonl +3 -0
  16. data/train.jsonl +3 -0
  17. data/train200.jsonl +0 -0
  18. data/train4465 +3 -0
  19. data/train4465.jsonl +1 -0
  20. my_trained_model/config.cfg +144 -0
  21. my_trained_model/meta.json +37 -0
  22. my_trained_model/textcat_multilabel/cfg +10 -0
  23. my_trained_model/textcat_multilabel/model +3 -0
  24. my_trained_model/tokenizer +3 -0
  25. my_trained_model/vocab/key2row +1 -0
  26. my_trained_model/vocab/lookups.bin +3 -0
  27. my_trained_model/vocab/strings.json +0 -0
  28. my_trained_model/vocab/vectors +0 -0
  29. my_trained_model/vocab/vectors.cfg +3 -0
  30. output/experiment1/model-best/config.cfg +123 -0
  31. output/experiment1/model-best/meta.json +76 -0
  32. output/experiment1/model-best/textcat_multilabel/cfg +10 -0
  33. output/experiment1/model-best/textcat_multilabel/model +3 -0
  34. output/experiment1/model-best/tokenizer +3 -0
  35. output/experiment1/model-best/vocab/key2row +1 -0
  36. output/experiment1/model-best/vocab/lookups.bin +3 -0
  37. output/experiment1/model-best/vocab/strings.json +0 -0
  38. output/experiment1/model-best/vocab/vectors +0 -0
  39. output/experiment1/model-best/vocab/vectors.cfg +3 -0
  40. output/experiment1/model-last/config.cfg +123 -0
  41. output/experiment1/model-last/meta.json +76 -0
  42. output/experiment1/model-last/textcat_multilabel/cfg +10 -0
  43. output/experiment1/model-last/textcat_multilabel/model +3 -0
  44. output/experiment1/model-last/tokenizer +3 -0
  45. output/experiment1/model-last/vocab/key2row +1 -0
  46. output/experiment1/model-last/vocab/lookups.bin +3 -0
  47. output/experiment1/model-last/vocab/strings.json +0 -0
  48. output/experiment1/model-last/vocab/vectors +0 -0
  49. output/experiment1/model-last/vocab/vectors.cfg +3 -0
  50. output/experiment3/model-best/config.cfg +123 -0
.gitattributes CHANGED
@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ corpus/train.spacy filter=lfs diff=lfs merge=lfs -text
37
+ data/thirdStep_file.jsonl filter=lfs diff=lfs merge=lfs -text
38
+ data/train.jsonl filter=lfs diff=lfs merge=lfs -text
39
+ data/train4465 filter=lfs diff=lfs merge=lfs -text
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+ my_trained_model/textcat_multilabel/model filter=lfs diff=lfs merge=lfs -text
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+ output/experiment1/model-best/textcat_multilabel/model filter=lfs diff=lfs merge=lfs -text
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+ output/experiment1/model-last/textcat_multilabel/model filter=lfs diff=lfs merge=lfs -text
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+ output/experiment3/model-best/textcat_multilabel/model filter=lfs diff=lfs merge=lfs -text
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+ output/experiment3/model-last/textcat_multilabel/model filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,147 @@
1
- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # prodigy-ecfr-textcat
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+
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+ Brief description of your project.
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+
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+ ## Table of Contents
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+
7
+ - [About the Project](#about-the-project)
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+ - [Getting Started](#getting-started)
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+ - [Prerequisites](#prerequisites)
10
+ - [Installation](#installation)
11
+ - [Usage](#usage)
12
+ - [File Structure](#file-structure)
13
+ - [Contributing](#contributing)
14
+ - [License](#license)
15
+ - [Acknowledgements](#acknowledgements)
16
+
17
+ ## About the Project
18
+
19
+ Our goal is to organize these financial institution rules and regulations so financial institutions can go through newly created rules and regulations to know which departments to send the information to and to allow easy retrieval of these regulations when necessary. Text mining and information retrieval will allow a large step of the process to be automated. Automating these steps will allow less time and effort to be contributed for financial institutions employees. This allows more time and work to be used to accomplish other projects.
20
+
21
+ ## Getting Started
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+
23
+ Instructions on setting up the project on a local machine.
24
+
25
+ ### Prerequisites
26
+
27
+ List any software dependencies or libraries required to run the project.
28
+
29
+ ### Installation
30
+
31
+ Step-by-step instructions on how to install and configure the project.
32
+
33
+ ## Usage
34
+
35
+ Explain how to use the project, including any command-line arguments, configurations, or examples.
36
+
37
+ ## File Structure
38
+
39
+ Describe the organization of files and directories within the project.
40
+
41
+ - `/corpus`
42
+ - `/labels`
43
+ - `ner.json`
44
+ - `parser.json`
45
+ - `tagger.json`
46
+ - `textcat_multilabel.json`
47
+ - `/data`
48
+ - `eval.jsonl`
49
+ - `firstStep_file.jsonl`
50
+ - `five_examples_annotated5.jsonl`
51
+ - `goldenEval.jsonl`
52
+ - `thirdStep_file.jsonl`
53
+ - `train.jsonl`
54
+ - `train200.jsonl`
55
+ - `train4465.jsonl`
56
+ - `/my_trained_model`
57
+ - `/textcat_multilabel`
58
+ - `cfg`
59
+ - `model`
60
+ - `/vocab`
61
+ - `key2row`
62
+ - `lookups.bin`
63
+ - `strings.json`
64
+ - `vectors`
65
+ - `vectors.cfg`
66
+ - `config.cfg`
67
+ - `meta.json`
68
+ - `tokenizer`
69
+ - `/output`
70
+ - `/experiment1`
71
+ - `/model-best`
72
+ - `/textcat_multilabel`
73
+ - `cfg`
74
+ - `model`
75
+ - `/vocab`
76
+ - `key2row`
77
+ - `lookups.bin`
78
+ - `strings.json`
79
+ - `vectors`
80
+ - `vectors.cfg`
81
+ - `config.cfg`
82
+ - `meta.json`
83
+ - `tokenizer`
84
+ - `/model-last`
85
+ - `/textcat_multilabel`
86
+ - `cfg`
87
+ - `model`
88
+ - `/vocab`
89
+ - `key2row`
90
+ - `lookups.bin`
91
+ - `strings.json`
92
+ - `vectors`
93
+ - `vectors.cfg`
94
+ - `config.cfg`
95
+ - `meta.json`
96
+ - `tokenizer`
97
+ - `/experiment3`
98
+ - `/model-best`
99
+ - `/textcat_multilabel`
100
+ - `cfg`
101
+ - `model`
102
+ - `/vocab`
103
+ - `key2row`
104
+ - `lookups.bin`
105
+ - `strings.json`
106
+ - `vectors`
107
+ - `vectors.cfg`
108
+ - `config.cfg`
109
+ - `meta.json`
110
+ - `tokenizer`
111
+ - `/model-last`
112
+ - `/textcat_multilabel`
113
+ - `cfg`
114
+ - `model`
115
+ - `/vocab`
116
+ - `key2row`
117
+ - `lookups.bin`
118
+ - `strings.json`
119
+ - `vectors`
120
+ - `vectors.cfg`
121
+ - `config.cfg`
122
+ - `meta.json`
123
+ - `tokenizer`
124
+ - `/python_Code`
125
+ - `finalStep-formatLabel.py`
126
+ - `firstStep-format.py`
127
+ - `five_examples_annotated.ipynb`
128
+ - `secondStep-score.py`
129
+ - `thirdStep-label.py`
130
+ - `train_eval_split.ipynb`
131
+ - `TerminalCode.txt`
132
+ - `README.md`
133
+ - `prodigy.json`
134
+
135
+
136
+
137
+ ## Contributing
138
+
139
+ Guidelines for contributing to the project, including how to report bugs or suggest improvements.
140
+
141
+ ## License
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+
143
+ Specify the project's license (e.g., MIT License, Apache License 2.0).
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+
145
+ ## Acknowledgements
146
+
147
+ Credits to any individuals, organizations, or resources that contributed to the project.
TerminalCode.txt ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ python3 -m virtualenv venv
2
+
3
+ python3 pip install prodigy -f {.....}
4
+
5
+ source venv/bin/activate
6
+
7
+ python3 pip install ngrok
8
+
9
+ ngrok config add-authoken {.....}
10
+
11
+ python3 -m prodigy metric.iaa.doc dataset:project3eval multiclass -l CapitalRequirements,ConsumerProtection,RiskManagement,ReportingAndCompliance,CorporateGovernance
12
+
13
+ PRODIGY_ALLOWED_SESSIONS=reviwer python3 -m prodigy review project3eval-review project3eval --auto-accept
14
+
15
+ prodigy db-out project3eval-review > goldenEval.jsonl
16
+
17
+ prodigy db-in prodigy3train train200.jsonl
18
+
19
+ iconv -f utf-16 -t utf-8 train200.jsonl > train200a.jsonl
20
+
21
+ prodigy db-in golden3 goldeneval.jsonl
22
+
23
+ python3 -m prodigy train --textcat-multilabel prodigy3train,eval:golden3 ./output/experiment1
24
+
25
+ python3 -m spacy download en_core_web_lg
26
+
27
+ python3 -m prodigy data-to-spacy --textcat-multilabel prodigy3train,eval:golden3 ./corpus --base-model en_core_web_lg
28
+
29
+ python -m spacy train corpus/config.cfg --paths.train corpus/train.spacy --paths.dev corpus/dev.spacy
30
+
31
+ pip install jsonlines
32
+
33
+ python3 firstStep-format.py
34
+
35
+ python3 secondStep-score.py
36
+
37
+ python3 thirdStep-label.py
38
+
39
+ python3 finalStep-formatLabel.py
40
+
41
+ prodigy db-in prodigy3trainComplete project3_trainComplete.jsonl
42
+
43
+ python3 -m prodigy train --textcat-multilabel prodigy3trainComplete,eval:golden3 ./output/experiment3
44
+
45
+ python3 -m prodigy data-to-spacy --textcat-multilabel prodigy3trainComplete,eval:golden3 ./corpus --base-model en_core_web_lg
46
+
47
+ python -m spacy train corpus/config.cfg --paths.train corpus/train.spacy --paths.dev corpus/dev.spacy
corpus/config.cfg ADDED
@@ -0,0 +1,179 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [paths]
2
+ train = null
3
+ dev = null
4
+ vectors = "en_core_web_lg"
5
+ init_tok2vec = null
6
+
7
+ [system]
8
+ gpu_allocator = null
9
+ seed = 0
10
+
11
+ [nlp]
12
+ lang = "en"
13
+ pipeline = ["tok2vec","tagger","parser","attribute_ruler","lemmatizer","ner","textcat_multilabel"]
14
+ disabled = ["senter"]
15
+ before_creation = null
16
+ after_creation = null
17
+ after_pipeline_creation = null
18
+ batch_size = 256
19
+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
20
+ vectors = {"@vectors":"spacy.Vectors.v1"}
21
+
22
+ [components]
23
+
24
+ [components.attribute_ruler]
25
+ source = "en_core_web_lg"
26
+
27
+ [components.lemmatizer]
28
+ source = "en_core_web_lg"
29
+
30
+ [components.ner]
31
+ source = "en_core_web_lg"
32
+
33
+ [components.parser]
34
+ source = "en_core_web_lg"
35
+ replace_listeners = ["model.tok2vec"]
36
+
37
+ [components.tagger]
38
+ source = "en_core_web_lg"
39
+ replace_listeners = ["model.tok2vec"]
40
+
41
+ [components.textcat_multilabel]
42
+ factory = "textcat_multilabel"
43
+ scorer = {"@scorers":"spacy.textcat_multilabel_scorer.v2"}
44
+ threshold = 0.5
45
+
46
+ [components.textcat_multilabel.model]
47
+ @architectures = "spacy.TextCatEnsemble.v2"
48
+ nO = null
49
+
50
+ [components.textcat_multilabel.model.linear_model]
51
+ @architectures = "spacy.TextCatBOW.v3"
52
+ exclusive_classes = false
53
+ length = 262144
54
+ ngram_size = 1
55
+ no_output_layer = false
56
+ nO = null
57
+
58
+ [components.textcat_multilabel.model.tok2vec]
59
+ @architectures = "spacy.Tok2VecListener.v1"
60
+ width = 96
61
+ upstream = "*"
62
+
63
+ [components.tok2vec]
64
+ source = "en_core_web_lg"
65
+
66
+ [corpora]
67
+
68
+ [corpora.dev]
69
+ @readers = "spacy.Corpus.v1"
70
+ path = ${paths.dev}
71
+ max_length = 0
72
+ gold_preproc = false
73
+ limit = 0
74
+ augmenter = null
75
+
76
+ [corpora.train]
77
+ @readers = "spacy.Corpus.v1"
78
+ path = ${paths.train}
79
+ max_length = 0
80
+ gold_preproc = false
81
+ limit = 0
82
+ augmenter = null
83
+
84
+ [training]
85
+ train_corpus = "corpora.train"
86
+ dev_corpus = "corpora.dev"
87
+ seed = ${system:seed}
88
+ gpu_allocator = ${system:gpu_allocator}
89
+ dropout = 0.1
90
+ accumulate_gradient = 1
91
+ patience = 5000
92
+ max_epochs = 0
93
+ max_steps = 100000
94
+ eval_frequency = 1000
95
+ frozen_components = ["tagger","parser","attribute_ruler","lemmatizer","ner"]
96
+ before_to_disk = null
97
+ annotating_components = []
98
+ before_update = null
99
+
100
+ [training.batcher]
101
+ @batchers = "spacy.batch_by_words.v1"
102
+ discard_oversize = false
103
+ tolerance = 0.2
104
+ get_length = null
105
+
106
+ [training.batcher.size]
107
+ @schedules = "compounding.v1"
108
+ start = 100
109
+ stop = 1000
110
+ compound = 1.001
111
+ t = 0.0
112
+
113
+ [training.optimizer]
114
+ @optimizers = "Adam.v1"
115
+ beta1 = 0.9
116
+ beta2 = 0.999
117
+ L2_is_weight_decay = true
118
+ L2 = 0.01
119
+ grad_clip = 1.0
120
+ use_averages = true
121
+ eps = 0.00000001
122
+ learn_rate = 0.001
123
+
124
+ [training.score_weights]
125
+ tag_acc = null
126
+ dep_uas = null
127
+ dep_las = null
128
+ dep_las_per_type = null
129
+ sents_p = null
130
+ sents_r = null
131
+ sents_f = null
132
+ lemma_acc = null
133
+ ents_f = null
134
+ ents_p = null
135
+ ents_r = null
136
+ ents_per_type = null
137
+ speed = 0.0
138
+
139
+ [pretraining]
140
+
141
+ [initialize]
142
+ vectors = ${paths.vectors}
143
+ init_tok2vec = ${paths.init_tok2vec}
144
+ vocab_data = null
145
+ lookups = null
146
+ after_init = null
147
+
148
+ [initialize.before_init]
149
+ @callbacks = "spacy.copy_from_base_model.v1"
150
+ tokenizer = "en_core_web_lg"
151
+ vocab = "en_core_web_lg"
152
+
153
+ [initialize.components]
154
+
155
+ [initialize.components.ner]
156
+
157
+ [initialize.components.ner.labels]
158
+ @readers = "spacy.read_labels.v1"
159
+ path = "corpus/labels/ner.json"
160
+
161
+ [initialize.components.parser]
162
+
163
+ [initialize.components.parser.labels]
164
+ @readers = "spacy.read_labels.v1"
165
+ path = "corpus/labels/parser.json"
166
+
167
+ [initialize.components.tagger]
168
+
169
+ [initialize.components.tagger.labels]
170
+ @readers = "spacy.read_labels.v1"
171
+ path = "corpus/labels/tagger.json"
172
+
173
+ [initialize.components.textcat_multilabel]
174
+
175
+ [initialize.components.textcat_multilabel.labels]
176
+ @readers = "spacy.read_labels.v1"
177
+ path = "corpus/labels/textcat_multilabel.json"
178
+
179
+ [initialize.tokenizer]
corpus/dev.spacy ADDED
Binary file (600 kB). View file
 
corpus/labels/ner.json ADDED
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+ "CARDINAL":14109,
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+ "NORP":9641,
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+ "PERCENT":9199,
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+ "WORK_OF_ART":4488,
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+ "LOC":4055,
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+ "FAC":3046,
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+ "EVENT":3021,
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+ "MONEY":15158,
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+ "CARDINAL":14109,
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+ "NORP":9641,
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+ "":1
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+ "5":{
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+ "":1
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+ }
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+ {"text":"Banks that are at risk of failing selling bonds? Absolutely not! The idea of where this money needs to come from should've been a thought that was had before these institutions took on crazy amounts of leverage and debt they couldn't pay. It's an obvious attempt at shifting the massive risk they hold onto unsuspecting investors instead of owning the bag themselves, and admitting they had no real risk management. Free money is becoming a thing of the past, it's time for these institutions to grow up and learn. Failure is always an option. Funds raised by selling off these bonds has a high chance of being similarly mismanaged by these at risk of failing institutions due to the aforementioned lack of real risk management. Actions speak louder than words, and we still live in the shadow of a great financial crisis (hmm, I wonder who could've caused that and why?) And constantly throwing the average Joe under the bus does a pretty bad job of helping maintain public confidence in the finance system.","meta":{"chapter":["X"],"chapter_title":["X"],"subchapter":["X"],"subchapter_title":["X"],"part":["X"],"part_title":["X"],"section":["X"],"section_title":["X"]},"_input_hash":1176382075,"_task_hash":-1757421960,"options":[{"id":"CapitalRequirements","text":"CapitalRequirements"},{"id":"ConsumerProtection","text":"ConsumerProtection"},{"id":"RiskManagement","text":"RiskManagement"},{"id":"ReportingAndCompliance","text":"ReportingAndCompliance"},{"id":"CorporateGovernance","text":"CorporateGovernance"}],"_view_id":"choice","config":{"choice_style":"single"},"accept":["RiskManagement"],"answer":"accept","_timestamp":1712013336,"_annotator_id":"2024-04-01_19-14-05","_session_id":"2024-04-01_19-14-05"}
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+ {"text":"The Wisconsin Bankers Association (WBA) is the largest financial trade association in Wisconsin, representing over 200 state and nationally chartered banks, savings banks,and savings and loan associations located in communities throughout the State. WBA appreciates the opportunity to comment on the interim final rule. Over the past year, the Board of Governors of the Federal Reserve System (FRB) issued several interim final rules to except certain loans that are guaranteed under the Small Business Administration's (SBA's) Paycheck Protection Program (PPP) from the requirements of the Federal Reserve Act and the corresponding provisions of Regulation O.To reflect the latest program extension by Congress, FRB issued this interim final rule to extend the Regulation O exception to PPP loans through March 31, 2022. WBA filed comment letters in support of FRB's previous interim final rules as the removal of Regulation O obstacles through the exception has helped allow Wisconsin's banks to more efficiently address the needs of their insider-owned small businesses. FRB'spast interim final rules have helped ensuree ligible businesses have timely access to liquidity to help overcome economic hurdles resulting from the effects of COVID-19 and the mitigating efforts in effect throughout Wisconsin. WBA appreciates FRB's actions to provide continued clarity that loans made by a bank to insider-owned businesses that are guaranteed under SBA's PPP remain excepted from the Federal Reserve Act and the corresponding provisions of Regulation O. Without an extension of the exception, WBA fears some auditors and examiners would treat such loans differently than PPP loans made on or before June 30 ,2020. As have been requirements of the program since inception, any PPP loan made during the extended program period must still meet certain eligibility and documentation criteria, and have the same interest rate, payment, and loan term. Additionally, all eligibility and documentation criteria and all loan terms and program requirements remain exclusively set by SBA and cannot be altered by the lender. Therefore, FRB should once again extend its exception for PPP loans; this time for PPP loans made through March 31 ,2022. WBA also appreciates FRB's efforts to have promulgated the interim final rules in such a straight-forward manner and for using plain language in its interim final rules. WBA encourages FRB to continue such efforts in future rule makings and for any other regulatory review efforts.","meta":{"chapter":["X"],"chapter_title":["X"],"subchapter":["X"],"subchapter_title":["X"],"part":["X"],"part_title":["X"],"section":["X"],"section_title":["X"]},"_input_hash":-911101708,"_task_hash":990631396,"options":[{"id":"CapitalRequirements","text":"CapitalRequirements"},{"id":"ConsumerProtection","text":"ConsumerProtection"},{"id":"RiskManagement","text":"RiskManagement"},{"id":"ReportingAndCompliance","text":"ReportingAndCompliance"},{"id":"CorporateGovernance","text":"CorporateGovernance"}],"_view_id":"choice","accept":["ReportingAndCompliance"],"config":{"choice_style":"single"},"answer":"accept","_timestamp":1712013360,"_annotator_id":"2024-04-01_19-14-05","_session_id":"2024-04-01_19-14-05"}
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+ },
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+ "textcat_multilabel_loss":1.6235517708
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+ }
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output/experiment1/model-best/textcat_multilabel/cfg ADDED
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+ "CapitalRequirements",
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+ "threshold":0.5
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+ version https://git-lfs.github.com/spec/v1
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+ size 5243605
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+ "textcat_multilabel_loss":1.6399045964
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+ }
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+ "threshold":0.5
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