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{
"_name_or_path": "google/mobilebert-uncased",
"architectures": [
"MobileBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_activation": false,
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"embedding_size": 128,
"finetuning_task": "mnli",
"hidden_act": "relu",
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"hidden_size": 512,
"id2label": {
"0": "entailment",
"1": "neutral",
"2": "contradiction"
},
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"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"label2id": {
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"neutral": 1
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "mobilebert",
"normalization_type": "no_norm",
"num_attention_heads": 4,
"num_feedforward_networks": 4,
"num_hidden_layers": 24,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.20.0.dev0",
"trigram_input": true,
"true_hidden_size": 128,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 30522
}
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