{ | |
"_name_or_path": "albert/albert-base-v2", | |
"architectures": [ | |
"AlbertForMaskedLM" | |
], | |
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"classifier_dropout_prob": 0.1, | |
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"gap_size": 0, | |
"hidden_act": "gelu_new", | |
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"hidden_size": 768, | |
"initializer_range": 0.02, | |
"inner_group_num": 1, | |
"intermediate_size": 3072, | |
"layer_norm_eps": 1e-12, | |
"max_position_embeddings": 512, | |
"model_type": "albert", | |
"net_structure_type": 0, | |
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"num_hidden_groups": 1, | |
"num_hidden_layers": 12, | |
"num_memory_blocks": 0, | |
"pad_token_id": 0, | |
"position_embedding_type": "absolute", | |
"torch_dtype": "float32", | |
"transformers_version": "4.44.2", | |
"type_vocab_size": 2, | |
"vocab_size": 30000 | |
} | |