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{
"architectures": [
"BertForPreTraining"
],
"auto_map": {
"AutoModel": "modeling_bert.BertForPreTraining"
},
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"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": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 3,
"pre_layer_norm": true,
"last_layer_norm": false,
"position_embedding_type": "rotary",
"rotary_base": 10000,
"rotary_dim": 32,
"transformers_version": "4.6.0.dev0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000,
"sparse_config_cls": "deepspeed.ops.sparse_attention:BigBirdSparsityConfig",
"sparse_attention": {
"num_heads": 12,
"block": 64,
"different_layout_per_head": true,
"num_sliding_window_blocks": 3,
"num_global_blocks": 2,
"num_random_blocks": 3
}
}