RoPERT-MLM-base / config.json
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{
"architectures": [
"MyBertForMaskedLM"
],
"attention_probs_dropout_prob": 0.0,
"auto_map": {
"AutoConfig": "configuration_mybert.MyBertConfig",
"AutoModel": "modeling_mybert.MyBertModel",
"AutoModelForMaskedLM": "modeling_mybert.MyBertForMaskedLM",
"AutoModelForSequenceClassification": "modeling_mybert.MyBertForSequenceClassification",
"AutoModelForTokenClassification": "modeling_mybert.MyBertForTokenClassification",
"AutoModelForQuestionAnswering": "modeling_mybert.MyBertForQuestionAnswering"
},
"dtype": "float32",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 2048,
"model_type": "mybert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"rope_theta": 10000.0,
"sparse_prediction": true,
"tie_word_embeddings": true,
"transformers_version": "5.13.1",
"use_bias": false,
"vocab_size": 28996
}