squeezebert-mnli / config.json
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{
"_name_or_path": "squeezebert/squeezebert-mnli",
"attention_probs_dropout_prob": 0.1,
"embedding_size": 768,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"initializer_range": 0.02,
"intermediate_groups": 4,
"intermediate_size": 3072,
"k_groups": 4,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "squeezebert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_groups": 4,
"pad_token_id": 0,
"post_attention_groups": 1,
"q_groups": 4,
"transformers_version": "4.29.2",
"type_vocab_size": 2,
"v_groups": 4,
"vocab_size": 30528
}