args.json

{
    "output_path": "/var/home/nhamad/WojoodData/output-nested",
    "train_path": "/var/home/nhamad/WojoodData/nested/train.txt",
    "val_path": "/var/home/nhamad/WojoodData/nested/val.txt",
    "test_path": "/var/home/nhamad/WojoodData/nested/test.txt",
    "bert_model": "aubmindlab/bert-base-arabertv2",
    "gpus": [
        0
    ],
    "log_interval": 10,
    "batch_size": 8,
    "num_workers": 0,
    "data_config": {
        "fn": "arabiner.data.datasets.NestedTagsDataset",
        "kwargs": {
            "max_seq_len": 512
        }
    },
    "trainer_config": {
        "fn": "arabiner.trainers.BertNestedTrainer",
        "kwargs": {
            "max_epochs": 50
        }
    },
    "network_config": {
        "fn": "arabiner.nn.BertNestedTagger",
        "kwargs": {
            "dropout": 0.1,
            "bert_model": "aubmindlab/bert-base-arabertv2",
            "num_labels": [
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4,
                4
            ]
        }
    },
    "optimizer": {
        "fn": "torch.optim.AdamW",
        "kwargs": {
            "lr": 0.0001
        }
    },
    "lr_scheduler": {
        "fn": "torch.optim.lr_scheduler.ExponentialLR",
        "kwargs": {
            "gamma": 1
        }
    },
    "loss": {
        "fn": "torch.nn.CrossEntropyLoss",
        "kwargs": {}
    },
    "overwrite": false,
    "seed": 1
}