bert-30M-cased / config.json
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{
"_name_or_path": "/Users/hieunguyen/Coding/learning/masked-language-model/huggingmodel/cased",
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 1024,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 4,
"num_hidden_layers": 4,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"tokenizer_class": "BartphoTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 56025
}