{ | |
"_name_or_path": "indobenchmark/indobert-lite-base-p1", | |
"_num_labels": 5, | |
"architectures": [ | |
"AlbertForSequenceClassification" | |
], | |
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"classifier_dropout_prob": 0.1, | |
"down_scale_factor": 1, | |
"embedding_size": 128, | |
"eos_token_id": 3, | |
"gap_size": 0, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0, | |
"hidden_size": 768, | |
"id2label": { | |
"0": "entailment", | |
"1": "neutral", | |
"2": "contradiction" | |
}, | |
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"inner_group_num": 1, | |
"intermediate_size": 3072, | |
"label2id": { | |
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"entailment": 0, | |
"neutral": 1 | |
}, | |
"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, | |
"output_past": true, | |
"pad_token_id": 0, | |
"position_embedding_type": "absolute", | |
"problem_type": "single_label_classification", | |
"torch_dtype": "float32", | |
"transformers_version": "4.36.2", | |
"type_vocab_size": 2, | |
"vocab_size": 30000 | |
} | |