fun-wolf-403 / config.json
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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
}