kobigbird-bert-base / config.json
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{
"architectures": [
"BigBirdForPreTraining"
],
"attention_probs_dropout_prob": 0.1,
"attention_type": "block_sparse",
"block_size": 64,
"bos_token_id": 5,
"classifier_dropout": null,
"eos_token_id": 6,
"gradient_checkpointing": false,
"hidden_act": "gelu_new",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"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",
"rescale_embeddings": false,
"sep_token_id": 3,
"tokenizer_class": "BertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.11.3",
"type_vocab_size": 2,
"use_bias": true,
"use_cache": true,
"vocab_size": 32500
}