| { | |
| "_name_or_path": "google-bert/bert-base-cased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "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-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": "multi_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 28996 | |
| } | |