File size: 2,630 Bytes
50f3f75 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | [2026-02-20 06:54:16,825] [WARNING] [py.warnings._showwarnmsg:110] [PID:284] /root/miniconda3/envs/py3.11/lib/python3.11/site-packages/torch/backends/__init__.py:46: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
self.setter(val)
Saving the dataset (0/3 shards): 0%| | 0/1000 [00:00<?, ? examples/s]
Saving the dataset (1/3 shards): 33%|███▎ | 333/1000 [00:00<00:00, 3360.81 examples/s]
Saving the dataset (1/3 shards): 67%|██████▋ | 667/1000 [00:00<00:00, 6613.40 examples/s]
Saving the dataset (2/3 shards): 100%|██████████| 1000/1000 [00:00<00:00, 6613.40 examples/s]
Saving the dataset (3/3 shards): 100%|██████████| 1000/1000 [00:00<00:00, 6613.40 examples/s]
Saving the dataset (3/3 shards): 100%|██████████| 1000/1000 [00:00<00:00, 5759.67 examples/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.44it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.43it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.21it/s]
[2026-02-20 06:54:39,046] [WARNING] [py.warnings._showwarnmsg:110] [PID:284] <string>:246: FutureWarning: The `max_prompt_length` argument is deprecated and will be removed in version 0.28.0. You should instead filter your dataset before training to ensure that prompts do not exceed your desired length.
[2026-02-20 06:54:40,128] [WARNING] [py.warnings._showwarnmsg:110] [PID:284] /workspace/axolotl/src/axolotl/core/trainers/mixins/optimizer.py:209: UserWarning: You are importing from 'rollout_func', which is an experimental feature. This API may change or be removed at any time without prior notice. Silence this warning by setting environment variable TRL_EXPERIMENTAL_SILENCE=1.
super().__init__(*args, **kwargs)
2026-02-20 06:55:21,445 - INFO - autotuner.py:256 - flashinfer.jit: [Autotuner]: Autotuning process starts ...
2026-02-20 06:55:21,455 - INFO - autotuner.py:262 - flashinfer.jit: [Autotuner]: Autotuning process ends
|