{ | |
"architectures": [ | |
"CharacterBertForPreTraining" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"character_embeddings_dim": 16, | |
"cnn_activation": "relu", | |
"cnn_filters": [ | |
[ | |
1, | |
32 | |
], | |
[ | |
2, | |
32 | |
], | |
[ | |
3, | |
64 | |
], | |
[ | |
4, | |
128 | |
], | |
[ | |
5, | |
256 | |
], | |
[ | |
6, | |
512 | |
], | |
[ | |
7, | |
1024 | |
] | |
], | |
"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": 512, | |
"max_word_length": 50, | |
"mlm_vocab_size": 100000, | |
"model_type": "character_bert", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 12, | |
"num_highway_layers": 2, | |
"tie_word_embeddings": false, | |
"transformers_version": "4.7.0.dev0", | |
"type_vocab_size": 2, | |
"use_cache": true | |
} | |