splicebert / config.json
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{
"architectures": [
"SpliceBertForPreTraining"
],
"attention_dropout": 0.1,
"bos_token_id": 1,
"classifier_dropout": null,
"eos_token_id": 2,
"head": {
"act": null,
"bias": true,
"dropout": 0.0,
"hidden_size": null,
"layer_norm_eps": 1e-12,
"num_labels": null,
"output_name": null,
"problem_type": null,
"transform": null,
"transform_act": "gelu"
},
"hidden_act": "gelu",
"hidden_dropout": 0.1,
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_norm_eps": 1e-12,
"lm_head": {
"act": null,
"bias": true,
"dropout": 0.0,
"hidden_size": 512,
"layer_norm_eps": 1e-12,
"output_name": null,
"transform": "nonlinear",
"transform_act": "gelu"
},
"mask_token_id": 4,
"max_position_embeddings": 1026,
"model_type": "splicebert",
"null_token_id": 5,
"num_attention_heads": 16,
"num_hidden_layers": 6,
"output_hidden_states": true,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.44.0",
"type_vocab_size": 2,
"unk_token_id": 3,
"use_cache": true,
"vocab_size": 26
}