vihealthbert-base-word / config.json
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{
"_name_or_path": "/workspace/vinbrain/minhnp/pretrainedLM/phobert-base",
"architectures": [
"RobertaModel"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"finetuning_task": "word-level",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 258,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"tokenizer_class": "PhobertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.11.3",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 64001
}