Create config.json
Browse files- config.json +89 -0
config.json
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{
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"base_model": "microsoft/DeBERTa-v3-base",
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"config_path": null,
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"fc_dropout": 0.2,
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"targets": [
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"task_type_1",
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"task_type_2",
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"task_type_prob",
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"creativity_scope",
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"reasoning",
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"contextual_knowledge",
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"number_of_few_shots",
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"domain_knowledge",
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"no_label_reason",
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"constraint_ct",
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"prompt_complexity_score"
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],
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"target_sizes": {
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"task_type": 12,
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"creativity_scope": 3,
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"reasoning": 2,
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"contextual_knowledge": 2,
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"number_of_few_shots": 6,
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"domain_knowledge": 4,
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"no_label_reason": 1,
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"constraint_ct": 2
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},
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"task_type_map": {
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"0": "Brainstorming",
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"1": "Chatbot",
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"2": "Classification",
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"3": "Closed QA",
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"4": "Code Generation",
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"5": "Extraction",
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"6": "Open QA",
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"7": "Other",
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"8": "Rewrite",
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"9": "Summarization",
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"10": "Text Generation",
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"11": "Unknown"
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},
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"weights_map": {
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"creativity_scope": [2, 1, 0],
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"reasoning": [0, 1],
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"contextual_knowledge": [0, 1],
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"number_of_few_shots": [0, 1, 2, 3, 4, 5],
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"domain_knowledge": [3, 1, 2, 0],
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"no_label_reason": [0],
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"constraint_ct": [1, 0]
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},
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"divisor_map": {
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"creativity_scope": 2,
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"reasoning": 1,
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"contextual_knowledge": 1,
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"number_of_few_shots": 1,
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"domain_knowledge": 3,
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"no_label_reason": 1,
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"constraint_ct": 1
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},
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"model_output_type": {
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"task_type_1": "string",
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"task_type_2": "string",
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"task_type_prob": "numeric",
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"creativity_scope": "numeric",
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"reasoning": "numeric",
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"contextual_knowledge": "numeric",
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"number_of_few_shots": "numeric",
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"domain_knowledge": "numeric",
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"no_label_reason": "numeric",
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"constraint_ct": "numeric",
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"prompt_complexity_score": "numeric"
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},
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"creativity_score_map": {"High": 0, "Low": 1, "No": 2},
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"reasoning_map": {"Unknown": -1, "No": 0, "Yes": 1},
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"contextual_knowledge_map": {"Unknown": -1, "No": 0, "Yes": 1},
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"number_of_few_shots_map": {
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"0.0": 0,
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"1.0": 1,
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"2.0": 2,
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"3.0": 3,
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"4.0": 4,
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"5.0": 5
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},
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"domain_knowledge_map": {"High": 0, "Low": 1, "Medium": 2, "No": 3},
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"no_label_reason_map": {"Unknown": 0},
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"constraint_ct_map": {"1.0": 0, "Unknown": 1},
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"pretrained": true,
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"drop_out": false
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}
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