{ "architectures": [ "RobertaForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "dtype": "float32", "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "CHERRY_PICKING", "1": "EVADING_THE_BURDEN_OF_PROOF", "2": "FALSE_ANALOGY", "3": "FALSE_AUTHORITY", "4": "FALSE_CAUSE", "5": "HASTY_GENERALISATION", "6": "NO_FALLACY", "7": "POST_HOC", "8": "RED_HERRINGS", "9": "STRAWMAN", "10": "VAGUENESS" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "CHERRY_PICKING": 0, "EVADING_THE_BURDEN_OF_PROOF": 1, "FALSE_ANALOGY": 2, "FALSE_AUTHORITY": 3, "FALSE_CAUSE": 4, "HASTY_GENERALISATION": 5, "NO_FALLACY": 6, "POST_HOC": 7, "RED_HERRINGS": 8, "STRAWMAN": 9, "VAGUENESS": 10 }, "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", "transformers_version": "4.57.3", "type_vocab_size": 1, "use_cache": true, "vocab_size": 50265 }