model-ya / config.json
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{
"adapter_dim": 0,
"architectures": [
"LeanAlbertForPreTraining"
],
"attention_probs_dropout_prob": 0,
"attn_qkv_bias": true,
"block_size": 0,
"bos_token_id": 2,
"classifier_dropout_prob": 0.1,
"embedding_size": 128,
"eos_token_id": 3,
"hidden_act": "gelu_fused",
"hidden_act_gated": true,
"hidden_dropout_prob": 0,
"hidden_size": 4096,
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 16384,
"layer_norm_eps": 1e-12,
"lowrank_dim": 0,
"max_position_embeddings": 512,
"num_attention_heads": 64,
"num_hidden_groups": 32,
"num_hidden_layers": 32,
"num_inner_groups": 1,
"num_inner_matrices": 1,
"num_memory_blocks": 0,
"num_shared_matrices": 1,
"out_proj_bias": true,
"pad_token_id": 0,
"position_embedding_type": "rotary",
"rotary_embedding_base": 10000,
"sandwich_norm": false,
"share_large_matrices": true,
"torch_dtype": "float32",
"total_num_layer_groups": 32,
"total_shared_matrix_sets": 1,
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"vocab_size": 50005
}