config.json

{
  "_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
}