{ "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": "analytical", "1": "casual", "2": "critical", "3": "empathetic", "4": "formal", "5": "humorous", "6": "inspirational", "7": "instructional", "8": "narrative", "9": "persuasive", "10": "poetic", "11": "technical" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "analytical": 0, "casual": 1, "critical": 2, "empathetic": 3, "formal": 4, "humorous": 5, "inspirational": 6, "instructional": 7, "narrative": 8, "persuasive": 9, "poetic": 10, "technical": 11 }, "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": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.50.3", "type_vocab_size": 1, "use_cache": true, "vocab_size": 50265 }