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nailiamirzakhmedova
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emnlp23-adu-classifier

PyTorch
electra
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emnlp23-adu-classifier
File size: 1,292 Bytes 
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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
}