{ "_name_or_path": "/kaggle/input/multicommand-training4/ner_model/", "activation": "gelu", "architectures": [ "DistilBertForTokenClassification" ], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": { "0": "B-action", "1": "B-amount", "2": "B-number", "3": "B-place", "4": "B-thing", "5": "B-time", "6": "I-action", "7": "I-amount", "8": "I-number", "9": "I-place", "10": "I-thing", "11": "I-time", "12": "O" }, "initializer_range": 0.02, "label2id": { "B-action": 0, "B-amount": 1, "B-number": 2, "B-place": 3, "B-thing": 4, "B-time": 5, "I-action": 6, "I-amount": 7, "I-number": 8, "I-place": 9, "I-thing": 10, "I-time": 11, "O": 12 }, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_token_id": 0, "qa_dropout": 0.1, "seq_classif_dropout": 0.2, "sinusoidal_pos_embds": false, "tie_weights_": true, "torch_dtype": "float32", "transformers_version": "4.44.2", "vocab_size": 30522 }