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{
"_name_or_path": "output/final/int_pl_hb512",
"architectures": [
"BertForSequenceClassification"
],
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"classifier_dropout": null,
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "NEGATING_SCIENTIFIC_FACTS",
"1": "UNDERMINING_THE_CREDIBILITY_OF_PUBLIC_INSTITUTIONS",
"2": "CHALLENGING_AN_INTERNATIONAL_ORGANISATION",
"3": "PROMOTING_STEREOTYPES",
"4": "WEAKENING_INTERNATIONAL_ALLIANCES",
"5": "UNDERMINING_INTERNATIONAL_COUNTRY_POSITION",
"6": "CHANGE_OF_ELECTION_BELIEFS",
"7": "RAISING_MORALE_OF_ONE_SIDE_OF_CONFLICT",
"8": "CAUSE_PANIC"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
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"NEGATING_SCIENTIFIC_FACTS": 0,
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"RAISING_MORALE_OF_ONE_SIDE_OF_CONFLICT": 7,
"UNDERMINING_INTERNATIONAL_COUNTRY_POSITION": 5,
"UNDERMINING_THE_CREDIBILITY_OF_PUBLIC_INSTITUTIONS": 1,
"WEAKENING_INTERNATIONAL_ALLIANCES": 4
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 514,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"tokenizer_class": "HerbertTokenizerFast",
"torch_dtype": "float32",
"transformers_version": "4.43.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 50000
}
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