============================================================ Refinement started at 2026-06-25 08:11:04 ============================================================ Logging to ./refined_adapters/python/refine.log Args: Namespace(language='python', results_dir='ankhanhtran02/executed_calibration_results', results_source='hf_hub', results_repo_type='model', adapter_path='ankhanhtran02/lora-per-task-executable-start-4', model_name_or_path='Qwen/Qwen2.5-Coder-1.5B', output_dir='./refined_adapters/python', per_device_train_batch_size=2, num_train_epochs=3, learning_rate=5e-05, weight_decay=0.01, gradient_accumulation_steps=4, num_warmup_steps=0, max_prompt_len=4096, max_ans_len=2048, seed=42, logging_steps=5, max_samples=600, local_rank=0, offload=False, zero_stage=0, gradient_checkpointing=False, disable_dropout=False, run_name='refine_python', group_name='refine_adapter', enable_wandb=False, enable_tensorboard=False, tensorboard_path='refine_tensorboard', deepspeed=True, deepspeed_config=None, deepscale=False, deepscale_config=None, global_rank=0) [refine] Loaded adapter from HF Hub: ankhanhtran02/lora-per-task-executable-start-4/python/0 trainable params: 1,867,776 || all params: 1,545,176,576 || trainable%: 0.1208778355180036 [repair] extracted 195 pairs (skipped: 231 no-fail-traceback, 0 no-label) [refine] 195 repair pairs for language=python Time to load fused_adam op: 1.0046062469482422 seconds ***** Running adapter refinement ***** language = python train pairs = 195 epochs = 3 steps/epoch = 25 total steps = 75 batch/device = 2 grad accum = 4 lr = 5e-05 [epoch 1/3] step 5/25 global_step 5 loss 0.5901 [epoch 1/3] step 10/25 global_step 10 loss 0.3002 [epoch 1/3] step 15/25 global_step 15 loss 0.3648 [epoch 1/3] step 20/25 global_step 20 loss 0.6232 [epoch 1/3] step 25/25 global_step 25 loss 0.3950 [refine] Epoch 1/3 complete. [epoch 2/3] step 5/25 global_step 30 loss 0.5356 [epoch 2/3] step 10/25 global_step 35 loss 0.5637 [epoch 2/3] step 15/25 global_step 40 loss 0.4384 [epoch 2/3] step 20/25 global_step 45 loss 0.6636 [epoch 2/3] step 25/25 global_step 50 loss 0.2304 [refine] Epoch 2/3 complete. [epoch 3/3] step 5/25 global_step 55 loss 0.2488 [epoch 3/3] step 10/25 global_step 60 loss 0.3174 [epoch 3/3] step 15/25 global_step 65 loss 0.6640 [epoch 3/3] step 20/25 global_step 70 loss 0.4727 [epoch 3/3] step 25/25 global_step 75 loss 0.4775 [refine] Epoch 3/3 complete. [refine] Saved fine-tuned adapter to ./refined_adapters/python