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{
"_name_or_path": "cross-encoder/nli-distilroberta-base",
"_num_labels": 13,
"architectures": [
"RobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "A lot of people believe [MSK1]. Therefore, [MSK1] must be true.",
"1": "Either [MSK1] or [MSK2] is true.",
"2": "If [MSK1] is true, then [MSK2] is true. [MSK2] is true. Therefore, [MSK1] is true.",
"3": "It is claimed that [MSK1] implies [MSK2], whereas [MSK1] is unrelated to [MSK2].",
"4": "[MSK1] claims that [MSK2]. [MSK1] are experts in the field concerning [MSK2]. Therefore, [MSK2] should be believed.",
"5": "[MSK1] has attribute [MSK2]. [MSK1] is a subset of [MSK3]. Therefore, all [MSK3] has attribute [MSK2].",
"6": "[MSK1] is claiming [MSK2]. [MSK1] is a moron. Therefore, [MSK2] is not true.",
"7": "[MSK1] is made without evidence. In place of evidence, emotion is used to convince the interlocutor that [MSK1] is true.",
"8": "[MSK1] is true because of [MSK2]. [MSK2] is true because of [MSK1].",
"9": "[MSK1] is used to mean [MSK2] in the premise. [MSK1] is used to mean [MSK3] in the conclusion.",
"10": "[MSK1] knows [MSK2] is incorrect. [MSK1] still claim that [MSK2] is correct using an incorrect argument.",
"11": "[MSK1] makes claim [MSK2]. [MSK3] restates [MSK2] (in a distorted way). [MSK3] attacks the distorted version of [MSK2]. Therefore, [MSK2] is false.",
"12": "[MSK1] occurred, then [MSK2] occurred. Therefore, [MSK1] caused [MSK2]."
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"A lot of people believe [MSK1]. Therefore, [MSK1] must be true.": 0,
"Either [MSK1] or [MSK2] is true.": 1,
"If [MSK1] is true, then [MSK2] is true. [MSK2] is true. Therefore, [MSK1] is true.": 2,
"It is claimed that [MSK1] implies [MSK2], whereas [MSK1] is unrelated to [MSK2].": 3,
"[MSK1] claims that [MSK2]. [MSK1] are experts in the field concerning [MSK2]. Therefore, [MSK2] should be believed.": 4,
"[MSK1] has attribute [MSK2]. [MSK1] is a subset of [MSK3]. Therefore, all [MSK3] has attribute [MSK2].": 5,
"[MSK1] is claiming [MSK2]. [MSK1] is a moron. Therefore, [MSK2] is not true.": 6,
"[MSK1] is made without evidence. In place of evidence, emotion is used to convince the interlocutor that [MSK1] is true.": 7,
"[MSK1] is true because of [MSK2]. [MSK2] is true because of [MSK1].": 8,
"[MSK1] is used to mean [MSK2] in the premise. [MSK1] is used to mean [MSK3] in the conclusion.": 9,
"[MSK1] knows [MSK2] is incorrect. [MSK1] still claim that [MSK2] is correct using an incorrect argument.": 10,
"[MSK1] makes claim [MSK2]. [MSK3] restates [MSK2] (in a distorted way). [MSK3] attacks the distorted version of [MSK2]. Therefore, [MSK2] is false.": 11,
"[MSK1] occurred, then [MSK2] occurred. Therefore, [MSK1] caused [MSK2].": 12
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 6,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
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