# metrics

timestamp: 2025-06-20T16:09:03.172065
project_name: fake-training-997624
run_name: test-run
metrics:
{"epoch": 1, "train_loss": 0.5814228335388846, "train_accuracy": 0.7706077792154589, "val_loss": 0.5239369046690306, "val_accuracy": 0.802896366510956}


timestamp: 2025-06-20T16:09:03.713842
project_name: fake-training-997624
run_name: test-run
metrics:
{"epoch": 2, "train_loss": 0.5967301111056894, "train_accuracy": 0.7663842141815713, "val_loss": 0.5637593694098433, "val_accuracy": 0.7867601037060101}


timestamp: 2025-06-20T16:09:04.421727
project_name: fake-training-997624
run_name: test-run
metrics:
{"epoch": 3, "train_loss": 0.5726106878007835, "train_accuracy": 0.7968070630774742, "val_loss": 0.513276508818876, "val_accuracy": 0.7397814943661306}


timestamp: 2025-06-20T16:09:05.071564
project_name: fake-training-997624
run_name: test-run
metrics:
{"epoch": 4, "train_loss": 0.5710714276771715, "train_accuracy": 0.7875116357266149, "val_loss": 0.4898801323514343, "val_accuracy": 0.8388074850159132}


timestamp: 2025-06-20T16:09:05.820202
project_name: fake-training-997624
run_name: test-run
metrics:
{"epoch": 5, "train_loss": 0.5572635041966221, "train_accuracy": 0.7711478486957817, "val_loss": 0.5072241126124812, "val_accuracy": 0.8206061773807581}


