YT_REDD_V2.1_BASE-0 / training_params.json
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{
"data_path": "Naterea/autotrain-data-YT_REDD_V2.1_BASE",
"model": "microsoft/resnet-50",
"lr": 5.2e-05,
"epochs": 3,
"batch_size": 8,
"warmup_ratio": 0.1,
"gradient_accumulation": 1,
"optimizer": "adamw_torch",
"scheduler": "linear",
"weight_decay": 0.0,
"max_grad_norm": 1.0,
"seed": 42,
"train_split": "train",
"valid_split": "validation",
"logging_steps": -1,
"project_name": "/tmp/model",
"auto_find_batch_size": false,
"mixed_precision": "fp32",
"save_total_limit": 1,
"save_strategy": "epoch",
"push_to_hub": true,
"repo_id": "Naterea/YT_REDD_V2.1_BASE-0",
"evaluation_strategy": "epoch",
"image_column": "autotrain_image",
"target_column": "autotrain_label",
"log": "none"
}