|
{ |
|
"_name_or_path": "albert", |
|
"architectures": [ |
|
"AlbertForPreTraining" |
|
], |
|
"attention_probs_dropout_prob": 0, |
|
"bos_token_id": 2, |
|
"classifier_dropout_prob": 0.1, |
|
"embedding_size": 128, |
|
"eos_token_id": 3, |
|
"hidden_act": "relu", |
|
"hidden_dropout_prob": 0, |
|
"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", |
|
"num_attention_heads": 12, |
|
"num_hidden_groups": 1, |
|
"num_hidden_layers": 12, |
|
"pad_token_id": 0, |
|
"position_embedding_type": "absolute", |
|
"tie_word_embeddings": 0, |
|
"transformers_version": "4.6.0", |
|
"type_vocab_size": 2, |
|
"vocab_size": 21128 |
|
} |
|
|