tmp_trainer / config.json
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{
"architectures": [
"MobileBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_activation": true,
"classifier_dropout": null,
"embedding_size": 64,
"hidden_act": "relu",
"hidden_dropout_prob": 0.0,
"hidden_size": 96,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4",
"5": "LABEL_5",
"6": "LABEL_6",
"7": "LABEL_7",
"8": "LABEL_8",
"9": "LABEL_9",
"10": "LABEL_10",
"11": "LABEL_11",
"12": "LABEL_12",
"13": "LABEL_13",
"14": "LABEL_14",
"15": "LABEL_15"
},
"initializer_range": 0.02,
"intermediate_size": 96,
"intra_bottleneck_size": 96,
"key_query_shared_bottleneck": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_10": 10,
"LABEL_11": 11,
"LABEL_12": 12,
"LABEL_13": 13,
"LABEL_14": 14,
"LABEL_15": 15,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4,
"LABEL_5": 5,
"LABEL_6": 6,
"LABEL_7": 7,
"LABEL_8": 8,
"LABEL_9": 9
},
"layer_norm_eps": 1e-12,
"max_position_embedding": 96,
"max_position_embeddings": 512,
"model_type": "mobilebert",
"normalization_type": "no_norm",
"num_attention_heads": 4,
"num_feedforward_networks": 6,
"num_hidden_layers": 3,
"pad_token_id": 0,
"torch_dtype": "float32",
"transformers_version": "4.26.1",
"trigram_input": true,
"true_hidden_size": 96,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 30522
}