my_awesome_model / config.json
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{
"architectures": [
"MobileBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_activation": true,
"classifier_dropout": null,
"embedding_size": 128,
"hidden_act": "relu",
"hidden_dropout_prob": 0.0,
"hidden_size": 512,
"id2label": {
"0": "sadness",
"1": "joy",
"2": "love",
"3": "anger",
"4": "fear",
"5": "surprise"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"label2id": {
"anger": 3,
"fear": 4,
"joy": 1,
"love": 2,
"sadness": 0,
"surprise": 5
},
"layer_norm_eps": 1e-12,
"max_length": 128,
"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": "4.35.0",
"trigram_input": true,
"true_hidden_size": 128,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 2016
}