config.json

{
  "_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
    "0": "❤",
    "1": "😍",
    "2": "😂",
    "3": "💕",
    "4": "🔥",
    "5": "😊",
    "6": "😎",
    "7": "✨",
    "8": "💙",
    "9": "😘",
    "10": "📷",
    "11": "🇺🇸",
    "12": "☀",
    "13": "💜",
    "14": "😉",
    "15": "💯",
    "16": "😁",
    "17": "🎄",
    "18": "📸",
    "19": "😜"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "❤": 0,
    "😍": 1,
    "😂": 2,
    "💕": 3,
    "🔥": 4,
    "😊": 5,
    "😎": 6,
    "✨": 7,
    "💙": 8,
    "😘": 9,
    "📷": 10,
    "🇺🇸": 11,
    "☀": 12,
    "💜": 13,
    "😉": 14,
    "💯": 15,
    "😁": 16,
    "🎄": 17,
    "📸": 18,
    "😜": 19
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tokenizer_class": "XLMRobertaTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 250037
}