emnlp23-adu-classifier / config.json
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{
"_name_or_path": "google/electra-large-discriminator",
"architectures": [
"ElectraForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"embedding_size": 1024,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "B-Value",
"1": "I-Value",
"2": "B-Rhetorical",
"3": "I-Rhetorical",
"4": "B-Policy",
"5": "I-Policy",
"6": "B-Testimony",
"7": "I-Testimony",
"8": "B-Fact",
"9": "I-Fact",
"10": "O"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"B-Fact": 8,
"B-Policy": 4,
"B-Rhetorical": 2,
"B-Testimony": 6,
"B-Value": 0,
"I-Fact": 9,
"I-Policy": 5,
"I-Rhetorical": 3,
"I-Testimony": 7,
"I-Value": 1,
"O": 10
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "electra",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"summary_activation": "gelu",
"summary_last_dropout": 0.1,
"summary_type": "first",
"summary_use_proj": true,
"torch_dtype": "float32",
"transformers_version": "4.28.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}