{ "_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": "arrays", "1": "regex", "2": "python-2.7", "3": "dictionary", "4": "mysql", "5": "csv", "6": "google-app-engine", "7": "html", "8": "linux", "9": "pandas", "10": "flask", "11": "python-3.x", "12": "scipy", "13": "matplotlib", "14": "json", "15": "string", "16": "windows", "17": "multithreading", "18": "tkinter", "19": "numpy", "20": "list", "21": "django-models", "22": "beautifulsoup", "23": "sqlalchemy", "24": "django" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "arrays": 0, "beautifulsoup": 22, "csv": 5, "dictionary": 3, "django": 24, "django-models": 21, "flask": 10, "google-app-engine": 6, "html": 7, "json": 14, "linux": 8, "list": 20, "matplotlib": 13, "multithreading": 17, "mysql": 4, "numpy": 19, "pandas": 9, "python-2.7": 2, "python-3.x": 11, "regex": 1, "scipy": 12, "sqlalchemy": 23, "string": 15, "tkinter": 18, "windows": 16 }, "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": "4.46.3", "type_vocab_size": 1, "use_cache": true, "vocab_size": 50265 }