config.json

{
  "_name_or_path": "AutoNLP",
  "_num_labels": 15,
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Beauty",
    "1": "Business/Finance",
    "2": "Faith",
    "3": "Fitness",
    "4": "Food",
    "5": "Gaming",
    "6": "Local",
    "7": "Marketplace",
    "8": "Memes",
    "9": "Music",
    "10": "None",
    "11": "Social",
    "12": "Sports",
    "13": "TV/Movies",
    "14": "Travel"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Beauty": 0,
    "Business/Finance": 1,
    "Faith": 2,
    "Fitness": 3,
    "Food": 4,
    "Gaming": 5,
    "Local": 6,
    "Marketplace": 7,
    "Memes": 8,
    "Music": 9,
    "None": 10,
    "Social": 11,
    "Sports": 12,
    "TV/Movies": 13,
    "Travel": 14
  },
  "layer_norm_eps": 1e-05,
  "max_length": 96,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 6,
  "pad_token_id": 1,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.8.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}