Fallacy-Hunter / config.json
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{
"add_cross_attention": false,
"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": "ad hominem",
"1": "ad populum",
"2": "appeal to emotion",
"3": "circular reasoning",
"4": "equivocation",
"5": "fallacy of credibility",
"6": "fallacy of extension",
"7": "fallacy of logic",
"8": "fallacy of relevance",
"9": "false causality",
"10": "false dilemma",
"11": "faulty generalization",
"12": "intentional",
"13": "no_fallacy"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"ad hominem": 0,
"ad populum": 1,
"appeal to emotion": 2,
"circular reasoning": 3,
"equivocation": 4,
"fallacy of credibility": 5,
"fallacy of extension": 6,
"fallacy of logic": 7,
"fallacy of relevance": 8,
"false causality": 9,
"false dilemma": 10,
"faulty generalization": 11,
"intentional": 12,
"no_fallacy": 13
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"problem_type": "single_label_classification",
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"type_vocab_size": 1,
"use_cache": false,
"vocab_size": 50265
}