| { |
| "activation": "gelu", |
| "architectures": [ |
| "DistilBertForSequenceClassification" |
| ], |
| "attention_dropout": 0.1, |
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| "dim": 768, |
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| "dtype": "float32", |
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| "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": "miscellaneous" |
| }, |
| "initializer_range": 0.02, |
| "label2id": { |
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| "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, |
| "miscellaneous": 13 |
| }, |
| "max_position_embeddings": 512, |
| "model_type": "distilbert", |
| "n_heads": 12, |
| "n_layers": 6, |
| "pad_token_id": 0, |
| "problem_type": "single_label_classification", |
| "qa_dropout": 0.1, |
| "seq_classif_dropout": 0.2, |
| "sinusoidal_pos_embds": false, |
| "tie_weights_": true, |
| "tie_word_embeddings": true, |
| "transformers_version": "5.0.0", |
| "use_cache": false, |
| "vocab_size": 30522 |
| } |
|
|
