config.json

{
  "_name_or_path": "models\\framing\\all_data_arguments\\RoBERTa-base\\RoBERTa-standard\\_best_model",
  "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": 768,
  "id2label": {
    "0": "economic",
    "1": "capacity and resources",
    "2": "morality",
    "3": "fairness and equality",
    "4": "legality, constitutionality and jurisprudence",
    "5": "policy prescription and evaluation",
    "6": "crime and punishment",
    "7": "security and defense",
    "8": "health and safety",
    "9": "quality of life",
    "10": "cultural identity",
    "11": "public opinion",
    "12": "political",
    "13": "external regulation and reputation",
    "14": "other"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.33.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}