LT_training_config.json

{
  "model_save_dir": "models",
  "model_save_name": "lt-historicjapanesecompanies-comp-prod-ind_onlinecontrastive_full",
  "opt_model_description": "This model was trained on a dataset of historic Japanese companies, products, industry, addresses, and shareholders. Take a look at our paper for more details. The task is to link indices of japanese companies",
  "opt_model_lang": "ja",
  "train_batch_size": 64,
  "num_epochs": 50,
  "warm_up_perc": 1,
  "learning_rate": 2e-05,
  "loss_type": "onlinecontrastive",
  "val_perc": 0.2,
  "wandb_names": {
    "id": "econabhishek",
    "run": "lt-historicjapanesecompanies-comp-prod-ind_onlinecontrastive_full",
    "project": "linkage",
    "entity": "econabhishek"
  },
  "add_pooling_layer": false,
  "large_val": true,
  "eval_steps_perc": 0.5,
  "test_at_end": true,
  "save_val_test_pickles": true,
  "val_query_prop": 0.5,
  "loss_params": {},
  "eval_type": "classification",
  "training_dataset": "dataframe",
  "base_model_path": "oshizo/sbert-jsnli-luke-japanese-base-lite",
  "best_model_path": "models/lt-historicjapanesecompanies-comp-prod-ind_onlinecontrastive_full"
}