config.json

{
  "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": "analytical",
    "1": "casual",
    "2": "critical",
    "3": "empathetic",
    "4": "formal",
    "5": "humorous",
    "6": "inspirational",
    "7": "instructional",
    "8": "narrative",
    "9": "persuasive",
    "10": "poetic",
    "11": "technical"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "analytical": 0,
    "casual": 1,
    "critical": 2,
    "empathetic": 3,
    "formal": 4,
    "humorous": 5,
    "inspirational": 6,
    "instructional": 7,
    "narrative": 8,
    "persuasive": 9,
    "poetic": 10,
    "technical": 11
  },
  "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": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.50.3",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}