bp_medium_step_400 / config.json
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{
"_name_or_path": "hf_bert/bp_medium_step49",
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"attn_norm_layer_type": "layer_norm",
"attn_num_groups": "None",
"classifier_dropout": "None",
"embedding_norm_layer_type": "layer_norm",
"embedding_num_groups": "None",
"embedding_size": 768,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 2000,
"model_type": "bert",
"mup": false,
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_mult": 1,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"prenorm": false,
"query_zero_init": false,
"readout_zero_init": false,
"summary_activation": "gelu",
"summary_last_dropout": 0.1,
"summary_type": "first",
"summary_use_proj": true,
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 9
}