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ESGify

Transformers
PyTorch
English
mpnet
ESG
finance
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LizaKovtun commited on
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Delete configuration_ESGify.py

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  1. configuration_ESGify.py +0 -141
configuration_ESGify.py DELETED
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- from transformers import PretrainedConfig
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- from typing import List, Dict
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-
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-
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- class ESGifyConfig(PretrainedConfig):
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- model_type = "mpnet"
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-
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- def __init__(
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- self,
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- attention_probs_dropout_prob: float = 0.1,
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- bos_token_id: int = 0,
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- eos_token_id: int = 2,
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- hidden_act: str = "gelu",
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- hidden_dropout_prob: float = 0.1,
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- hidden_size: int = 768,
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- initializer_range: float = 0.02,
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- intermediate_size: int = 3072,
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- layer_norm_eps: float = 1e-05,
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- max_position_embeddings: int = 514,
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- num_attention_heads: int = 12,
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- num_hidden_layers: int = 12,
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- output_attentions: bool = True,
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- pad_token_id: int = 1,
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- relative_attention_num_buckets: int = 32,
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- vocab_size: int = 30531,
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- id2label: Dict = {"0": "Legal Proceedings & Law Violations",
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- "1": "Biodiversity",
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- "2": "Communities Health and Safety",
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- "3": "Land Acquisition and Resettlement (S)",
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- "4": "Emergencies (Social)",
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- "5": "Corporate Governance",
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- "6": "Responsible Investment & Greenwashing",
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- "7": "Not Relevant to ESG",
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- "8": "Economic Crime",
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- "9": "Emergencies (Environmental)",
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- "10": "Hazardous Materials Management",
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- "11": "Environmental Management",
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- "12": "Landscape Transformation",
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- "13": "Human Rights",
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- "14": "Climate Risks",
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- "15": "Labor Relations Management",
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- "16": "Freedom of Association and Right to Organise",
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- "17": "Employee Health and Safety",
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- "18": "Surface Water Pollution",
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- "19": "Animal Welfare",
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- "20": "Water Consumption",
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- "21": "Disclosure",
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- "22": "Product Safety and Quality",
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- "23": "Greenhouse Gas Emissions",
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- "24": "Indigenous People",
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- "25": "Cultural Heritage",
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- "26": "Air Pollution",
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- "27": "Waste Management",
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- "28": "Soil and Groundwater Impact",
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- "29": "Forced Labour",
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- "30": "Wastewater Management",
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- "31": "Natural Resources",
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- "32": "Physical Impacts",
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- "33": "Values and Ethics",
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- "34": "Risk Management and Internal Control",
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- "35": "Supply Chain (Environmental)",
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- "36": "Supply Chain (Social)",
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- "37": "Discrimination",
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- "38": "Minimum Age and Child Labour",
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- "39": "Planning Limitations",
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- "40": "Data Safety",
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- "41": "Strategy Implementation",
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- "42": "Energy Efficiency and Renewables",
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- "43": "Land Acquisition and Resettlement (E)",
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- "44": "Supply Chain (Economic / Governance)",
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- "45": "Land Rehabilitation",
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- "46": "Retrenchment"
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- },
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- label2id: Dict = {"Legal Proceedings & Law Violations": "0",
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- "Biodiversity": "1",
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- "Communities Health and Safety": "2",
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- "Land Acquisition and Resettlement (S)": "3",
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- "Emergencies (Social)": "4",
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- "Corporate Governance": "5",
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- "Responsible Investment & Greenwashing": "6",
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- "Not Relevant to ESG": "7",
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- "Economic Crime": "8",
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- "Emergencies (Environmental)": "9",
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- "Hazardous Materials Management": "10",
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- "Environmental Management": "11",
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- "Landscape Transformation": "12",
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- "Human Rights": "13",
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- "Climate Risks": "14",
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- "Labor Relations Management": "15",
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- "Freedom of Association and Right to Organise": "16",
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- "Employee Health and Safety": "17",
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- "Surface Water Pollution": "18",
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- "Animal Welfare": "19",
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- "Water Consumption": "20",
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- "Disclosure": "21",
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- "Product Safety and Quality": "22",
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- "Greenhouse Gas Emissions": "23",
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- "Indigenous People": "24",
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- "Cultural Heritage": "25",
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- "Air Pollution": "26",
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- "Waste Management": "27",
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- "Soil and Groundwater Impact": "28",
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- "Forced Labour": "29",
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- "Wastewater Management": "30",
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- "Natural Resources": "31",
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- "Physical Impacts": "32",
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- "Values and Ethics": "33",
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- "Risk Management and Internal Control": "34",
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- "Supply Chain (Environmental)": "35",
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- "Supply Chain (Social)": "36",
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- "Discrimination": "37",
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- "Minimum Age and Child Labour": "38",
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- "Planning Limitations": "39",
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- "Data Safety": "40",
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- "Strategy Implementation": "41",
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- "Energy Efficiency and Renewables": "42",
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- "Land Acquisition and Resettlement (E)": "43",
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- "Supply Chain (Economic / Governance)": "44",
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- "Land Rehabilitation": "45",
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- "Retrenchment": "46"},
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- **kwargs,
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- ):
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- self.attention_probs_dropout_prob = attention_probs_dropout_prob
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- self.bos_token_id = bos_token_id,
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- self.eos_token_id = eos_token_id,
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- self.hidden_act = hidden_act,
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- self.hidden_dropout_prob = hidden_dropout_prob,
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- self.hidden_size = hidden_size,
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- self.initializer_range = initializer_range,
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- self.intermediate_size = intermediate_size,
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- self.layer_norm_eps = layer_norm_eps
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- self.max_position_embeddings = max_position_embeddings,
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- self.num_attention_heads = num_attention_heads,
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- self.num_hidden_layers = num_hidden_layers,
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- self.output_attentions = output_attentions,
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- self.pad_token_id = pad_token_id,
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- self.relative_attention_num_buckets = relative_attention_num_buckets,
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- self.vocab_size = vocab_size,
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- self.id2label = id2label,
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- self.label2id = label2id
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- super().__init__(**kwargs)