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ANERCorp

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ANERCorp
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{
    "output_path": "/content/output/",
    "train_path": "/content/ArabicNER/ANERCorp/train.txt",
    "test_path": "/content/ArabicNER/ANERCorp/test.txt",
    "val_path": "/content/ArabicNER/ANERCorp/val.txt",
    "seed": 1,
    "max_epochs": 50,
    "batch_size": 8,
    "bert_model": "UBC-NLP/ARBERTv2",
    "num_workers": 1,
    "gpus": [
        0
    ],
    "learning_rate": 1e-05,
    "max_seq_len": 512,
    "overwrite": "True",
    "log_interval": 10,
    "network_config": {
        "fn": "arabiner.nn.BertSeqTagger",
        "kwargs": {
            "dropout": 0.1,
            "bert_model": "aubmindlab/bert-base-arabertv2",
            "num_labels": 9
        }
    },
    "optimizer_config": {
        "fn": "torch.optim.Adam",
        "kwargs": {
            "lr": 1e-05
        }
    },
    "trainer_config": {
        "fn": "arabiner.trainers.BertTrainer",
        "kwargs": {
            "max_epochs": 50
        }
    },
    "data_config": {
        "fn": "arabiner.data.datasets.DefaultDataset",
        "kwargs": {
            "max_seq_len": 512,
            "bert_model": "aubmindlab/bert-base-arabertv2"
        }
    },
    "optimizer": {
        "fn": "torch.optim.AdamW",
        "kwargs": {
            "lr": 1e-05
        }
    },
    "lr_scheduler": {
        "fn": "torch.optim.lr_scheduler.ExponentialLR",
        "kwargs": {
            "gamma": 1
        }
    },
    "loss": {
        "fn": "torch.nn.CrossEntropyLoss",
        "kwargs": {}
    }
}