Marcos12886 commited on
Commit
a032f99
1 Parent(s): 3cfdee5

Traer los argumentos de training

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  1. models_config.json +56 -0
models_config.json ADDED
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+ {
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+ "mon": {
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+ "dataset_path": "data/baby_cry_detection",
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+ "output_dir": "distilhubert-finetuned-cry-detector",
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+ "training_args": {
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+ "num_train_epochs": 6,
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+ "learning_rate": 0.0001,
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+ "warmup_ratio": 0.001,
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+ "output_dir": "distilhubert-finetuned-cry-detector",
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+ "eval_strategy": "epoch",
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+ "save_strategy": "epoch",
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+ "lr_scheduler_type": "cosine",
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+ "auto_find_batch_size": true,
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+ "per_device_train_batch_size": 8,
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+ "per_device_eval_batch_size": 8,
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+ "gradient_accumulation_steps": 8,
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+ "gradient_checkpointing": true,
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+ "load_best_model_at_end": true,
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+ "greater_is_better": true,
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+ "metric_for_best_model": "accuracy",
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+ "optim": "adamw_torch",
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+ "hub_strategy": "checkpoint",
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+ "report_to": "tensorboard",
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+ "full_determinism": true,
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+ "seed": 123,
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+ "data_seed":123
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+ }
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+ },
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+ "class": {
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+ "dataset_path": "data/mixed_data_nuevo",
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+ "output_dir": "distilhubert-finetuned-mixed-data",
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+ "training_args": {
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+ "num_train_epochs": 2,
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+ "learning_rate": 0.0001,
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+ "warmup_ratio": 0.001,
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+ "output_dir": "distilhubert-finetuned-mixed-data",
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+ "eval_strategy": "epoch",
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+ "save_strategy": "epoch",
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+ "lr_scheduler_type": "cosine",
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+ "auto_find_batch_size": true,
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+ "per_device_train_batch_size": 8,
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+ "per_device_eval_batch_size": 8,
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+ "gradient_accumulation_steps": 8,
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+ "gradient_checkpointing": true,
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+ "load_best_model_at_end": true,
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+ "greater_is_better": true,
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+ "metric_for_best_model": "accuracy",
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+ "optim": "adamw_torch",
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+ "hub_strategy": "checkpoint",
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+ "report_to": "tensorboard",
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+ "full_determinism": true,
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+ "seed": 123,
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+ "data_seed":123
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+ }
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+ }
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+ }