{ "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": "HS", "1": "Abusive", "2": "HS_Individual", "3": "HS_Group", "4": "HS_Religion", "5": "HS_Race", "6": "HS_Physical", "7": "HS_Gender", "8": "HS_Other", "9": "HS_Weak", "10": "HS_Moderate", "11": "HS_Strong" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "Abusive": 1, "HS": 0, "HS_Gender": 7, "HS_Group": 3, "HS_Individual": 2, "HS_Moderate": 10, "HS_Other": 8, "HS_Physical": 6, "HS_Race": 5, "HS_Religion": 4, "HS_Strong": 11, "HS_Weak": 9 }, "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": "4.51.3", "type_vocab_size": 2, "use_cache": true, "vocab_size": 32000 }