clinical-mobilebert / config.json
Mojtaba aka Omid Rohanian
ClinicalMobileBERT model and tokeniser
a9b12bb
raw history blame
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{
"_name_or_path": "/users/engs2263/clinical-models/models/ClinicalMobileBERT/final/model",
"architectures": [
"MobileBertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"classifier_activation": false,
"classifier_dropout": null,
"embedding_size": 128,
"hidden_act": "relu",
"hidden_dropout_prob": 0.0,
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "mobilebert",
"normalization_type": "no_norm",
"num_attention_heads": 4,
"num_feedforward_networks": 4,
"num_hidden_layers": 24,
"pad_token_id": 0,
"torch_dtype": "float32",
"transformers_version": "4.27.0.dev0",
"trigram_input": true,
"true_hidden_size": 128,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 30522
}