paritc/multilabelclassification

1{2  "_name_or_path": "bert-base-uncased",3  "architectures": [4    "BertForSequenceClassification"5  ],6  "attention_probs_dropout_prob": 0.1,7  "classifier_dropout": null,8  "gradient_checkpointing": false,9  "hidden_act": "gelu",10  "hidden_dropout_prob": 0.1,11  "hidden_size": 768,12  "id2label": {13    "0": "anger",14    "1": "anticipation",15    "2": "disgust",16    "3": "fear",17    "4": "joy",18    "5": "love",19    "6": "optimism",20    "7": "pessimism",21    "8": "sadness",22    "9": "surprise",23    "10": "trust"24  },25  "initializer_range": 0.02,26  "intermediate_size": 3072,27  "label2id": {28    "anger": 0,29    "anticipation": 1,30    "disgust": 2,31    "fear": 3,32    "joy": 4,33    "love": 5,34    "optimism": 6,35    "pessimism": 7,36    "sadness": 8,37    "surprise": 9,38    "trust": 1039  },40  "layer_norm_eps": 1e-12,41  "max_position_embeddings": 512,42  "model_type": "bert",43  "num_attention_heads": 12,44  "num_hidden_layers": 12,45  "pad_token_id": 0,46  "position_embedding_type": "absolute",47  "problem_type": "multi_label_classification",48  "torch_dtype": "float32",49  "transformers_version": "4.48.3",50  "type_vocab_size": 2,51  "use_cache": true,52  "vocab_size": 3052253}54