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  1. best_model.pt +3 -0
  2. config.json +56 -0
best_model.pt ADDED
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+ size 1122405001
config.json ADDED
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+ {
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+ "checkpoint_freq": 1,
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+ "dataloader_num_workers": 0,
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+ "gradient_accumulation_steps": 1,
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+ "keep_checkpoints": -1,
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+ "learning_rate": 0.0001,
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+ "logging_dir": "logs",
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+ "mixed_precision": "bf16",
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+ "model": {
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+ "type": "vlmpar",
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+ "model_name": "google/siglip2-base-patch16-224",
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+ "num_classes_dict": {
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+ "upper_body_color": 11,
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+ "lower_body_color": 11,
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+ "gender": 2,
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+ "bag": 2,
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+ "hat": 2
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+ }
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+ },
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+ "num_train_epochs": 10000,
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+ "optimizer": {
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+ "type": "AdamW",
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+ "lr": 0.0001,
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+ "weight_decay": 0.01
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+ },
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+ "project_dir": "outputs",
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+ "scheduler": {
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+ "type": "LinearLR",
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+ "start_factor": 1.0,
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+ "end_factor": 0.0,
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+ "total_iters": 10000
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+ },
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+ "train_batch_size": 32,
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+ "train_dataset": {
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+ "type": "mivia_par_kd_2025",
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+ "root_dir": "/mnt/dati/homes/zsellam/datasets/par2025",
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+ "split": "training",
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+ "processor": "google/siglip2-base-patch16-224"
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+ },
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+ "val_dataset": {
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+ "type": "mivia_par_kd_2025",
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+ "root_dir": "/mnt/dati/homes/zsellam/datasets/par2025",
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+ "split": "validation",
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+ "processor": "google/siglip2-base-patch16-224"
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+ },
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+ "valid_batch_size": 32,
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+ "warmup_ratio": 0.1,
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+ "weight_decay": 0.01,
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+ "config": "./configs/siglip_par_train_config.py",
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+ "seed": null,
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+ "dtype": null,
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+ "report_to": "tensorboard",
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+ "max_grad_norm": 1.0,
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+ "max_train_steps": null,
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+ "validation_split": 0.25
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+ }