{
  "_name_or_path": "bert-base-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Lucky",
    "1": "Unwell",
    "2": "Sad",
    "3": "Bad",
    "4": "Stressed",
    "5": "Tired",
    "6": "Peaceful",
    "7": "Guilty",
    "8": "Confident",
    "9": "Blissful",
    "10": "Stupid",
    "11": "Excited",
    "12": "Sentimental",
    "13": "Insecure",
    "14": "Hopeless",
    "15": "Angry",
    "16": "Disgusting"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Angry": 15,
    "Bad": 3,
    "Blissful": 9,
    "Confident": 8,
    "Disgusting": 16,
    "Excited": 11,
    "Guilty": 7,
    "Hopeless": 14,
    "Insecure": 13,
    "Lucky": 0,
    "Peaceful": 6,
    "Sad": 2,
    "Sentimental": 12,
    "Stressed": 4,
    "Stupid": 10,
    "Tired": 5,
    "Unwell": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.46.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}