|
{ |
|
"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 |
|
} |
|
|