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{
"_name_or_path": "AutoNLP",
"_num_labels": 3,
"activation_dropout": 0.0,
"architectures": [
"FunnelForSequenceClassification"
],
"attention_dropout": 0.1,
"attention_type": "relative_shift",
"block_repeats": [
1,
1,
1
],
"block_sizes": [
6,
6,
6
],
"d_head": 64,
"d_inner": 3072,
"d_model": 768,
"embedding_size": 768,
"hidden_act": "gelu_new",
"hidden_dropout": 0.1,
"id2label": {
"0": "\uae0d\uc815",
"1": "\ubd80\uc815",
"2": "\uc911\ub9bd"
},
"initializer_range": 0.1,
"initializer_std": 0.02,
"label2id": {
"\uae0d\uc815": 0,
"\ubd80\uc815": 1,
"\uc911\ub9bd": 2
},
"layer_norm_eps": 1e-09,
"max_length": 96,
"max_position_embeddings": 512,
"model_type": "funnel",
"n_head": 12,
"num_decoder_layers": 2,
"padding": "max_length",
"pool_q_only": true,
"pooling_type": "mean",
"problem_type": "single_label_classification",
"rel_attn_type": "factorized",
"separate_cls": true,
"transformers_version": "4.8.0",
"truncate_seq": true,
"type_vocab_size": 3,
"vocab_size": 42000
}