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{ |
|
"_name_or_path": "google/mobilebert-uncased", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"classifier_activation": false, |
|
"classifier_dropout": null, |
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"embedding_size": 128, |
|
"hidden_act": "relu", |
|
"hidden_dropout_prob": 0.0, |
|
"hidden_size": 512, |
|
"id2label": { |
|
"0": "LABEL_0", |
|
"1": "LABEL_1", |
|
"2": "LABEL_2", |
|
"3": "LABEL_3", |
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"4": "LABEL_4", |
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"5": "LABEL_5", |
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"6": "LABEL_6" |
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}, |
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"initializer_range": 0.02, |
|
"intermediate_size": 512, |
|
"intra_bottleneck_size": 128, |
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"key_query_shared_bottleneck": true, |
|
"label2id": { |
|
"LABEL_0": 0, |
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"LABEL_1": 1, |
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"LABEL_2": 2, |
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"LABEL_3": 3, |
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"LABEL_4": 4, |
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"LABEL_5": 5, |
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"LABEL_6": 6 |
|
}, |
|
"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
|
"normalization_type": "no_norm", |
|
"num_attention_heads": 4, |
|
"num_feedforward_networks": 4, |
|
"num_hidden_layers": 24, |
|
"pad_token_id": 0, |
|
"position_embedding_type": "absolute", |
|
"problem_type": "single_label_classification", |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.38.2", |
|
"trigram_input": true, |
|
"true_hidden_size": 128, |
|
"type_vocab_size": 2, |
|
"use_bottleneck": true, |
|
"use_bottleneck_attention": false, |
|
"use_cache": true, |
|
"vocab_size": 30522 |
|
} |
|
|