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targetKeywords_clickbait_model

Text Classification
Transformers
PyTorch
big_bird
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targetKeywords_clickbait_model
File size: 1,065 Bytes 
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{
  "_name_or_path": "google/bigbird-roberta-base",
  "architectures": [
    "BigBirdForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "attention_type": "block_sparse",
  "block_size": 64,
  "bos_token_id": 1,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu_new",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "passage",
    "1": "phrase",
    "2": "multi"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "multi": "2",
    "passage": "0",
    "phrase": "1"
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 4096,
  "model_type": "big_bird",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "num_random_blocks": 3,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "rescale_embeddings": false,
  "sep_token_id": 66,
  "torch_dtype": "float32",
  "transformers_version": "4.22.2",
  "type_vocab_size": 2,
  "use_bias": true,
  "use_cache": true,
  "vocab_size": 50358
}