Upload PolyGuard artifact: log command_complete

outputs/logs/hf_training.log

@@ -20090,3 +20090,11 @@ Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  1.87it/
 Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  2.59it/s]
 Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  2.45it/s]
 merge_done
+$ python scripts/test_inference_postsave.py --samples 5 --base-model Qwen/Qwen2.5-3B-Instruct --merged-model checkpoints/sweeps/qwen-qwen2-5-3b-instruct/merged --adapter-dir checkpoints/sweeps/qwen-qwen2-5-3b-instruct/sft_adapter --output outputs/reports/sweeps/qwen-qwen2-5-3b-instruct/postsave_inference_sft.json
+The tokenizer you are loading from '/app/checkpoints/sweeps/qwen-qwen2-5-3b-instruct/merged' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
+`torch_dtype` is deprecated! Use `dtype` instead!
+
+Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 38.48it/s]
+The following generation flags are not valid and may be ignored: ['temperature', 'top_p', 'top_k']. Set `TRANSFORMERS_VERBOSITY=info` for more details.
+postsave_inference_ok