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": {
    "A01002": "Self-direction: thought",
    "A01005": "Self-direction: action",
    "A01006": "Stimulation",
    "A01007": "Hedonism",
    "A01008": "Achievement",
    "A01009": "Power: dominance",
    "A01010": "Power: resources",
    "A01011": "Face",
    "A01014": "Security: personal",
    "A01015": "Security: societal",
    "A01016": "Tradition",
    "A01018": "Conformity: rules",
    "A01019": "Conformity: interpersonal",
    "A01020": "Humility",
    "A02003": "Benevolence: caring",
    "A02004": "Benevolence: dependability",
    "A02005": "Universalism: concern",
    "A02006": "Universalism: nature",
    "A02007": "Universalism: tolerance",
    "A02008": "Universalism: objectivity"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Achievement": "A01008",
    "Benevolence: caring": "A02003",
    "Benevolence: dependability": "A02004",
    "Conformity: interpersonal": "A01019",
    "Conformity: rules": "A01018",
    "Face": "A01011",
    "Hedonism": "A01007",
    "Humility": "A01020",
    "Power: dominance": "A01009",
    "Power: resources": "A01010",
    "Security: personal": "A01014",
    "Security: societal": "A01015",
    "Self-direction: action": "A01005",
    "Self-direction: thought": "A01002",
    "Stimulation": "A01006",
    "Tradition": "A01016",
    "Universalism: concern": "A02005",
    "Universalism: nature": "A02006",
    "Universalism: objectivity": "A02008",
    "Universalism: tolerance": "A02007"
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}