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{
|
|
"_name_or_path": "albert-base-v2",
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"architectures": [
|
|
"AlbertForSequenceClassification"
|
|
],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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|
"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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|
"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
|
|
"hidden_size": 768,
|
|
"id2label": {
|
|
"0": "LABEL_0",
|
|
"1": "LABEL_1",
|
|
"2": "LABEL_2",
|
|
"3": "LABEL_3",
|
|
"4": "LABEL_4",
|
|
"5": "LABEL_5",
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|
"6": "LABEL_6"
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|
},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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|
"intermediate_size": 3072,
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|
"label2id": {
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|
"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
|
|
},
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|
"layer_norm_eps": 1e-12,
|
|
"max_position_embeddings": 512,
|
|
"model_type": "albert",
|
|
"net_structure_type": 0,
|
|
"num_attention_heads": 12,
|
|
"num_hidden_groups": 1,
|
|
"num_hidden_layers": 12,
|
|
"num_memory_blocks": 0,
|
|
"pad_token_id": 0,
|
|
"position_embedding_type": "absolute",
|
|
"problem_type": "single_label_classification",
|
|
"torch_dtype": "float32",
|
|
"transformers_version": "4.40.2",
|
|
"type_vocab_size": 2,
|
|
"vocab_size": 30000
|
|
}
|
|
|