nohup: ignoring input Starting run with config: mario/grid_search_num.yaml Rodando Unsloth: Dropout = 0 is supported for fast patching. You are using dropout = 0.05. Unsloth will patch all other layers, except LoRA matrices, causing a performance hit. Unsloth 2025.4.7 patched 28 layers with 0 QKV layers, 0 O layers and 0 MLP layers. ==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1 \\ /| Num examples = 17,071 | Num Epochs = 1 | Total steps = 2,134 O^O/ \_/ \ Batch size per device = 2 | Gradient accumulation steps = 4 \ / Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8 "-____-" Trainable parameters = 322,961,408/7,000,000,000 (4.61% trained) 🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning. 🦥 Unsloth Zoo will now patch everything to make training faster! Loaded 17071 levels from evaluation dataset Starting grid search... ===== Processing Split: str_window_vertical_newline ===== ===== Processing Subset: no_path ===== Dataset Loaded for str_window_vertical_newline - Subset: no_path --- Processing Model Family: qwen2.5 --- - Model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit - LoRA Pair: r=128, alpha=128 - Other Params: {'num_train_epochs': 1, 'train_on_responses_only': True} Run Name: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-7313 ==((====))== Unsloth 2025.4.7: Fast Qwen2 patching. Transformers: 4.51.3. \\ /| NVIDIA H100 80GB HBM3. Num GPUs = 1. Max memory: 79.189 GB. Platform: Linux. O^O/ \_/ \ Torch: 2.7.1+cu128. CUDA: 9.0. CUDA Toolkit: 12.8. Triton: 3.3.1 \ / Bfloat16 = TRUE. FA [Xformers = 0.0.31.post1. FA2 = False] "-____-" Free license: http://github.com/unslothai/unsloth Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored! Starting training for run: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-7313 0%| | 0/2134 [00:00