ybelkada/tiny-mobilebertmodel

1{2  "architectures": [3    "MobileBertModel"4  ],5  "attention_probs_dropout_prob": 0.1,6  "classifier_activation": true,7  "classifier_dropout": null,8  "embedding_size": 128,9  "hidden_act": "relu",10  "hidden_dropout_prob": 0.0,11  "hidden_size": 64,12  "initializer_range": 0.02,13  "intermediate_size": 128,14  "intra_bottleneck_size": 128,15  "key_query_shared_bottleneck": true,16  "layer_norm_eps": 1e-12,17  "max_position_embeddings": 512,18  "model_type": "mobilebert",19  "normalization_type": "layer_norm",20  "num_attention_heads": 4,21  "num_feedforward_networks": 1,22  "num_hidden_layers": 24,23  "pad_token_id": 0,24  "torch_dtype": "float32",25  "transformers_version": "4.25.0.dev0",26  "trigram_input": true,27  "true_hidden_size": 64,28  "type_vocab_size": 2,29  "use_bottleneck": false,30  "use_bottleneck_attention": true,31  "vocab_size": 3052232}33