config.json

{
  "_name_or_path": "microsoft/deberta-v3-xsmall",
  "architectures": [
    "DebertaV2ForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
    "0": "windows",
    "1": "python-2.7",
    "2": "pandas",
    "3": "multithreading",
    "4": "string",
    "5": "matplotlib",
    "6": "arrays",
    "7": "mysql",
    "8": "scipy",
    "9": "csv",
    "10": "django-models",
    "11": "numpy",
    "12": "google-app-engine",
    "13": "python-3.x",
    "14": "beautifulsoup",
    "15": "dictionary",
    "16": "list",
    "17": "linux",
    "18": "django",
    "19": "regex",
    "20": "tkinter",
    "21": "flask",
    "22": "html",
    "23": "sqlalchemy",
    "24": "json"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "arrays": 6,
    "beautifulsoup": 14,
    "csv": 9,
    "dictionary": 15,
    "django": 18,
    "django-models": 10,
    "flask": 21,
    "google-app-engine": 12,
    "html": 22,
    "json": 24,
    "linux": 17,
    "list": 16,
    "matplotlib": 5,
    "multithreading": 3,
    "mysql": 7,
    "numpy": 11,
    "pandas": 2,
    "python-2.7": 1,
    "python-3.x": 13,
    "regex": 19,
    "scipy": 8,
    "sqlalchemy": 23,
    "string": 4,
    "tkinter": 20,
    "windows": 0
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 6,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 384,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "problem_type": "multi_label_classification",
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.46.3",
  "type_vocab_size": 0,
  "vocab_size": 128100
}