{ "architectures": [ "XLMRobertaForSequenceClassification" ], "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": 1024, "id2label": { "0": "business_rnd_innovation", "1": "fellowships_scholarships", "2": "institutional_funding", "3": "networking_collaborative", "4": "other_research_funding", "5": "out_of_scope", "6": "project_grants_public", "7": "research_infrastructure" }, "initializer_range": 0.02, "intermediate_size": 4096, "label2id": { "business_rnd_innovation": 0, "fellowships_scholarships": 1, "institutional_funding": 2, "networking_collaborative": 3, "other_research_funding": 4, "out_of_scope": 5, "project_grants_public": 6, "research_infrastructure": 7 }, "layer_norm_eps": 1e-05, "max_position_embeddings": 514, "model_type": "xlm-roberta", "num_attention_heads": 16, "num_hidden_layers": 24, "output_past": true, "pad_token_id": 1, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.51.3", "type_vocab_size": 1, "use_cache": true, "vocab_size": 250002 }