training_run.json

{
  "timestamp": "2026-02-15T11:29:57.546067",
  "model": "google/medgemma-1.5-4b-it",
  "adapter_repo": "s0close/medgemma-dsa-lora",
  "dataset_repo": "s0close/medgemma-dsa-train",
  "training_samples": 432,
  "epochs": 2,
  "lr": 2e-05,
  "lora_r": 8,
  "lora_alpha": 16,
  "batch_size": 1,
  "grad_accum": 8,
  "max_seq_length": 1024,
  "training_loss": 0.8743757631767679,
  "training_time_seconds": 4394.945178031921,
  "compute_dtype": "bfloat16",
  "quantization": "4-bit NF4 double-quant",
  "environment": "hf_jobs"
}