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ElMad
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fun-wolf-403

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files
xet
Community
fun-wolf-403
File size: 1,877 Bytes 
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{
  "_name_or_path": "FacebookAI/roberta-base",
  "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": "python-3.x",
    "1": "windows",
    "2": "django",
    "3": "list",
    "4": "csv",
    "5": "json",
    "6": "numpy",
    "7": "dictionary",
    "8": "matplotlib",
    "9": "flask",
    "10": "beautifulsoup",
    "11": "django-models",
    "12": "multithreading",
    "13": "python-2.7",
    "14": "sqlalchemy",
    "15": "arrays",
    "16": "tkinter",
    "17": "google-app-engine",
    "18": "regex",
    "19": "mysql",
    "20": "scipy",
    "21": "string",
    "22": "pandas",
    "23": "html",
    "24": "linux"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "arrays": 15,
    "beautifulsoup": 10,
    "csv": 4,
    "dictionary": 7,
    "django": 2,
    "django-models": 11,
    "flask": 9,
    "google-app-engine": 17,
    "html": 23,
    "json": 5,
    "linux": 24,
    "list": 3,
    "matplotlib": 8,
    "multithreading": 12,
    "mysql": 19,
    "numpy": 6,
    "pandas": 22,
    "python-2.7": 13,
    "python-3.x": 0,
    "regex": 18,
    "scipy": 20,
    "sqlalchemy": 14,
    "string": 21,
    "tkinter": 16,
    "windows": 1
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}