| { |
| "_name_or_path": "roberta-large", |
| "architectures": [ |
| "RobertaForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "bos_token_id": 0, |
| "classifier_dropout": null, |
| "eos_token_id": 2, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 1024, |
| "id2label": { |
| "0": "position to know", |
| "1": "expert opinion", |
| "2": "direct ad hominem", |
| "3": "inconsistent commitment", |
| "4": "popular practice", |
| "5": "popular opinion", |
| "6": "analogy", |
| "7": "precedent", |
| "8": "example", |
| "9": "established rule", |
| "10": "cause to effect", |
| "11": "verbal classification", |
| "12": "slippery slope", |
| "13": "sign", |
| "14": "ignorance", |
| "15": "threat", |
| "16": "waste", |
| "17": "sunk costs", |
| "18": "witness testimony", |
| "19": "best explanation" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 4096, |
| "label2id": { |
| "position to know": 0, |
| "expert opinion": 1, |
| "cause to effect": 10, |
| "verbal classification": 11, |
| "slippery slope": 12, |
| "sign": 13, |
| "ignorance": 14, |
| "threat": 15, |
| "waste": 16, |
| "sunk costs": 17, |
| "witness testimony": 18, |
| "best explanation": 19, |
| "direct ad hominem": 2, |
| "inconsistent commitment": 3, |
| "popular practice": 4, |
| "popular opinion": 5, |
| "analogy": 6, |
| "precedent": 7, |
| "example": 8, |
| "established rule": 9 |
| }, |
| "layer_norm_eps": 1e-05, |
| "max_position_embeddings": 514, |
| "model_type": "roberta", |
| "num_attention_heads": 16, |
| "num_hidden_layers": 24, |
| "pad_token_id": 1, |
| "position_embedding_type": "absolute", |
| "problem_type": "single_label_classification", |
| "torch_dtype": "float32", |
| "transformers_version": "4.32.0", |
| "type_vocab_size": 1, |
| "use_cache": true, |
| "vocab_size": 50265 |
| } |
|
|