ernie-m-base_pytorch / config.json
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{
"_name_or_path": "susnato/ernie-m-base_pytorch",
"act_dropout": 0.0,
"architectures": [
"ErnieMForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"dtype": "float32",
"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": 514,
"model_type": "ernie_m",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"paddlenlp_version": null,
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.31.0",
"type_vocab_size": 16,
"vocab_size": 250002
}