configs/training-configs/config.yaml (19 lines of code) (raw):

model_id: "microsoft/Florence-2-large" dataset_id: "diffusers/ShotDEAD-v0" mixed_precision: "fp16" cache_dir: null num_proc: 4 batch_size: 16 gradient_accumulation_steps: 4 gradient_checkpointing: false resume_from_checkpoint: false max_grad_norm: 1.0 freeze_vision_tower: true use_lora: false use_8bit_adam: false epochs: 20 lr: 1e-6 eval_steps: 1000 max_val_item_count: 1000 save_steps: 2000 report_to: "wandb"