config.json

{
  "_name_or_path": "prajjwal1/bert-mini",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "sadness",
  "1": "anger",
  "2": "love",
  "3": "surprise",
  "4": "fear",
  "5": "happiness",
  "6": "neutral",
  "7": "disgust",
  "8": "shame",
  "9": "guilt",
  "10": "confusion",
  "11": "desire",
  "12": "sarcasm"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "sadness": 0,
  "anger": 1,
  "love": 2,
  "surprise": 3,
  "fear": 4,
  "happiness": 5,
  "neutral": 6,
  "disgust": 7,
  "shame": 8,
  "guilt": 9,
  "confusion": 10,
  "desire": 11,
  "sarcasm": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 4,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.49.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}