config.json

{
  "_name_or_path": "intfloat/multilingual-e5-base",
  "architectures": [
    "BertModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.21.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 250002,
  
  "model_name": "intfloat/multilingual-e5-base",
  "num_age_groups": 6,
  "age_groups": [
    "1-2",
    "12-14", 
    "15-19",
    "3-5",
    "6-11",
    "general"
  ],
  "age_to_id": {
    "1-2": 0,
    "12-14": 1,
    "15-19": 2,
    "3-5": 3,
    "6-11": 4,
    "general": 5
  },
  "max_length": 512,
  "best_val_loss": 0.15584548979016546,
  "num_samples": 5228,
  "final_temperature": 0.0668264776468277
}