Fsoft-AIC/dopamin-python-summary

1{2  "_name_or_path": "microsoft/codebert-base",3  "architectures": [4    "CodeBERTHSUMForSequenceClassification"5  ],6  "attention_probs_dropout_prob": 0.1,7  "bos_token_id": 0,8  "classifier_dropout": null,9  "count": 4,10  "eos_token_id": 2,11  "finetuning_task": "text-classification",12  "hidden_act": "gelu",13  "hidden_dropout_prob": 0.1,14  "hidden_size": 768,15  "id2label": {16    "0": "0",17    "1": "1"18  },19  "initializer_range": 0.02,20  "intermediate_size": 3072,21  "label2id": {22    "0": 0,23    "1": 124  },25  "layer_norm_eps": 1e-05,26  "max_position_embeddings": 514,27  "max_query_length": 128,28  "max_seq_length": -68,29  "mix_type": "HSUM",30  "model_type": "roberta",31  "num_attention_heads": 12,32  "num_hidden_layers": 12,33  "output_past": true,34  "pad_token_id": 1,35  "position_embedding_type": "absolute",36  "problem_type": "single_label_classification",37  "sc_comment": false,38  "torch_dtype": "float32",39  "transformers_version": "4.35.2",40  "type_vocab_size": 1,41  "use_cache": true,42  "vocab_size": 5026543}44