{ "_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 }