File size: 2,528 Bytes
2a8feec
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40

============================================================
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