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{
"mon": {
"dataset_path": "A-POR-LOS-8000/data/baby_cry_detection",
"output_dir": "A-POR-LOS-8000/distilhubert-finetuned-cry-detector",
"training_args": {
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"eval_strategy": "epoch",
"save_strategy": "epoch",
"lr_scheduler_type": "cosine",
"auto_find_batch_size": true,
"per_device_train_batch_size": 8,
"per_device_eval_batch_size": 8,
"gradient_accumulation_steps": 8,
"gradient_checkpointing": true,
"load_best_model_at_end": true,
"greater_is_better": true,
"metric_for_best_model": "accuracy",
"optim": "adamw_torch",
"hub_strategy": "checkpoint",
"report_to": "tensorboard",
"full_determinism": true,
"seed": 123,
"data_seed":123
}
},
"class": {
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"output_dir": "A-POR-LOS-8000/distilhubert-finetuned-mixed-data",
"training_args": {
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"learning_rate": 0.0003,
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"output_dir": "A-POR-LOS-8000/distilhubert-finetuned-mixed-data",
"eval_strategy": "epoch",
"save_strategy": "epoch",
"lr_scheduler_type": "cosine",
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"per_device_eval_batch_size": 8,
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"gradient_checkpointing": true,
"load_best_model_at_end": true,
"greater_is_better": true,
"optim": "adamw_torch",
"hub_strategy": "checkpoint",
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"seed": 123,
"data_seed":123
}
}
}
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