{ "_name_or_path": "AutoTrain", "_num_labels": 15, "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "ID", "1": "M&A", "2": "acceptance", "3": "competence", "4": "data protection", "5": "date", "6": "intellectual property", "7": "liability", "8": "license", "9": "object", "10": "party", "11": "remedy", "12": "term", "13": "termination", "14": "warranty" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "ID": 0, "M&A": 1, "acceptance": 2, "competence": 3, "data protection": 4, "date": 5, "intellectual property": 6, "liability": 7, "license": 8, "object": 9, "party": 10, "remedy": 11, "term": 12, "termination": 13, "warranty": 14 }, "layer_norm_eps": 1e-12, "max_length": 256, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "padding": "max_length", "position_embedding_type": "absolute", "problem_type": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.29.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 31102 }