bicmol/NLBSE-Python-final

1{2  "architectures": [3    "RobertaForSequenceClassification"4  ],5  "attention_probs_dropout_prob": 0.1,6  "bos_token_id": 0,7  "classifier_dropout": null,8  "eos_token_id": 2,9  "hidden_act": "gelu",10  "hidden_dropout_prob": 0.1,11  "hidden_size": 1024,12  "id2label": {13    "0": "LABEL_0",14    "1": "LABEL_1",15    "2": "LABEL_2",16    "3": "LABEL_3",17    "4": "LABEL_4"18  },19  "initializer_range": 0.02,20  "intermediate_size": 4096,21  "label2id": {22    "LABEL_0": 0,23    "LABEL_1": 1,24    "LABEL_2": 2,25    "LABEL_3": 3,26    "LABEL_4": 427  },28  "layer_norm_eps": 1e-05,29  "max_position_embeddings": 514,30  "model_type": "roberta",31  "num_attention_heads": 16,32  "num_hidden_layers": 24,33  "pad_token_id": 1,34  "position_embedding_type": "absolute",35  "problem_type": "multi_label_classification",36  "torch_dtype": "float32",37  "transformers_version": "4.51.1",38  "type_vocab_size": 1,39  "use_cache": true,40  "vocab_size": 5026541}42