ProtST-ESM1b / config.json
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{
"architectures": [
"ProtSTModel"
],
"auto_map": {
"AutoModel": "modeling_protst.ProtSTModel",
"AutoConfig": "configuration_protst.ProtSTConfig"
},
"model_type": "protst",
"protein_config": {
"_name_or_path": "/tmp/facebook/esm1b_t33_650M_UR50S",
"architectures": [
"EsmForMaskedLM"
],
"attention_probs_dropout_prob": 0.0,
"classifier_dropout": null,
"emb_layer_norm_before": true,
"esmfold_config": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1280,
"initializer_range": 0.02,
"intermediate_size": 5120,
"is_folding_model": false,
"layer_norm_eps": 1e-05,
"mask_token_id": 32,
"max_position_embeddings": 1026,
"model_type": "esm",
"num_attention_heads": 20,
"num_hidden_layers": 33,
"cls_token_id": 0,
"pad_token_id": 1,
"eos_token_id": 2,
"position_embedding_type": "absolute",
"token_dropout": true,
"torch_dtype": "float32",
"use_cache": true,
"vocab_list": null,
"vocab_size": 33
},
"text_config": {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"pad_token_id": 0,
"cls_token_id": 2,
"sep_token_id": 3,
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"type_vocab_size": 2,
"vocab_size": 30522
},
"torch_dtype": "float32",
"transformers_version": "4.37.0.dev0"
}