{
   "global": {
      "train": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/train.json",
      "test": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/test.json",
      "dev": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/dev.json",
      "import": "/projects/users/mgillele/Aquilign",
      "base_model_name": "google-bert/bert-base-multilingual-cased",
      "out_dir": "/projects/users/mgillele/trash/test_segmenter",
      "device": "cuda:0",
      "data_augmentation": true,
      "freeze_embeddings": false,
      "emb_dim": 300,
      "freeze_lang_embeddings": false,
      "linear_layers": 3,
      "linear_layers_hidden_size": 128,
      "balance_class_weights": false,
      "include_lang_metadata": false,
      "lang_emb_dim": 32,
      "epochs": 30,
      "use_pretrained_embeddings": true,
      "use_bert_tokenizer": true,
      "lr": 1e-05,
      "workers": 8,
      "batch_size": 64,
      "eval_batch_size": 64,
      "segments_max_length": 18,
      "model_path": "models/best/best.pt"
   },
   "architecture": {
      "name": "BERT"
   }
}