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ACCC1380
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private-model

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+ 14:19:54-924440 INFO Starting SD-Trainer Mikazuki GUI...
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+ 14:19:54-927178 INFO Base directory: /root/lora-scripts, Working directory: /root/lora-scripts
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+ 14:19:54-927884 INFO Linux Python 3.10.9 /root/.conda/envs/lora/bin/python
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+ 14:19:54-933201 INFO Starting tageditor...
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+ 14:19:54-936010 INFO Starting tensorboard...
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+ 14:19:58-704848 INFO Server started at http://127.0.0.1:28000
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+ TensorFlow installation not found - running with reduced feature set.
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+
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+ NOTE: Using experimental fast data loading logic. To disable, pass
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+ "--load_fast=false" and report issues on GitHub. More details:
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+ https://github.com/tensorflow/tensorboard/issues/4784
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+
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+ TensorBoard 2.10.1 at http://127.0.0.1:6006/ (Press CTRL+C to quit)
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+ 14:20:52-995764 INFO Torch 2.3.0+cu121
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+ 14:20:53-470315 INFO Torch backend: nVidia CUDA 12.1 cuDNN 8902
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+ 14:20:53-876159 INFO Torch detected GPU: NVIDIA A100-SXM4-80GB VRAM 81051 Arch (8, 0) Cores 108
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+ 14:24:14-346637 INFO Training started with config file / 训练开始，使用配置文件: /root/lora-scripts/config/autosave/20240716-142414.toml
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+ 14:24:14-349477 INFO Task 6fd14190-b173-4715-b710-7293b373447e created
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+ The following values were not passed to `accelerate launch` and had defaults used instead:
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+ `--num_processes` was set to a value of `1`
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+ `--num_machines` was set to a value of `1`
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+ `--mixed_precision` was set to a value of `'no'`
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+ `--dynamo_backend` was set to a value of `'no'`
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+ To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
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+ 2024-07-16 14:24:58 INFO Loading settings from /root/lora-scripts/config/autosave/20240716-142414.toml... train_util.py:3744
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+ INFO /root/lora-scripts/config/autosave/20240716-142414 train_util.py:3763
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+ 2024-07-16 14:24:58 INFO prepare tokenizer train_util.py:4227
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+ 2024-07-16 14:24:59 INFO update token length: 255 train_util.py:4244
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+ 2024-07-16 14:25:00 INFO prepare images. train_util.py:1572
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+ INFO found directory /train6/1_dongman contains 916 image files train_util.py:1519
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+ INFO 916 train images with repeating. train_util.py:1613
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+ INFO 0 reg images. train_util.py:1616
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+ WARNING no regularization images / 正則化画像が見つかりませんでした train_util.py:1621
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+ INFO [Dataset 0] config_util.py:565
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+ batch_size: 64
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+ resolution: (1024, 1024)
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+ enable_bucket: True
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+ network_multiplier: 1.0
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+ min_bucket_reso: 256
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+ max_bucket_reso: 2048
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+ bucket_reso_steps: 64
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+ bucket_no_upscale: False
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+
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+ [Subset 0 of Dataset 0]
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+ image_dir: "/train6/1_dongman"
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+ image_count: 916
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+ num_repeats: 1
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+ shuffle_caption: True
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+ keep_tokens: 0
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+ keep_tokens_separator:
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+ secondary_separator: None
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+ enable_wildcard: False
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+ caption_dropout_rate: 0.0
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+ caption_dropout_every_n_epoches: 0
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+ caption_tag_dropout_rate: 0.0
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+ caption_prefix: None
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+ caption_suffix: None
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+ color_aug: False
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+ flip_aug: False
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+ face_crop_aug_range: None
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+ random_crop: False
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+ token_warmup_min: 1,
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+ token_warmup_step: 0,
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+ is_reg: False
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+ class_tokens: dongman
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+ caption_extension: .txt
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+
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+
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+ INFO [Dataset 0] config_util.py:571
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+ INFO loading image sizes. train_util.py:853
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+ 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 916/916 [00:00<00:00, 85199.42it/s]
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+ INFO make buckets train_util.py:859
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+ INFO number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む） train_util.py:905
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+ INFO bucket 0: resolution (704, 1408), count: 29 train_util.py:910
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+ INFO bucket 1: resolution (768, 1280), count: 6 train_util.py:910
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+ INFO bucket 2: resolution (768, 1344), count: 723 train_util.py:910
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+ INFO bucket 3: resolution (832, 1216), count: 123 train_util.py:910
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+ INFO bucket 4: resolution (1216, 832), count: 2 train_util.py:910
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+ INFO bucket 5: resolution (1344, 768), count: 33 train_util.py:910
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+ INFO mean ar error (without repeats): 0.011380946831128346 train_util.py:915
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+ INFO prepare accelerator train_db.py:106
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+ wandb: Currently logged in as: cn42083120024 (renwu). Use `wandb login --relogin` to force relogin
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+ wandb: Appending key for api.wandb.ai to your netrc file: /root/.netrc
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+ accelerator device: cuda
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+ 2024-07-16 14:25:24 INFO loading model for process 0/1 train_util.py:4385
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+ INFO load StableDiffusion checkpoint: ./sd-models/model.safetensors train_util.py:4341
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+ 2024-07-16 14:25:29 INFO UNet2DConditionModel: 64, 8, 768, False, False original_unet.py:1387
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+ 2024-07-16 14:25:56 INFO loading u-net: <All keys matched successfully> model_util.py:1009
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+ 2024-07-16 14:26:01 INFO loading vae: <All keys matched successfully> model_util.py:1017
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+ 2024-07-16 14:26:09 INFO loading text encoder: <All keys matched successfully> model_util.py:1074
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+ INFO Enable xformers for U-Net train_util.py:2660
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+ INFO [Dataset 0] train_util.py:2079
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+ INFO caching latents. train_util.py:974
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+ INFO checking cache validity... train_util.py:984
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+ 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████���█████████████████| 916/916 [00:00<00:00, 4252.76it/s]
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+ 2024-07-16 14:26:10 INFO caching latents... train_util.py:1021
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+ 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 916/916 [08:53<00:00, 1.72it/s]
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+ 2024-07-16 14:35:03 INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO DownBlock2D False -> True original_unet.py:1521
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+ INFO UNetMidBlock2DCrossAttn False -> True original_unet.py:1521
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+ INFO UpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ prepare optimizer, data loader etc.
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+ 2024-07-16 14:35:04 INFO use 8-bit AdamW optimizer | {} train_util.py:3889
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+ override steps. steps for 30 epochs is / 指定エポックまでのステップ数: 540
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+ running training / 学習開始
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+ num train images * repeats / 学習画像の数×繰り返し回数: 916
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+ num reg images / 正則化画像の数: 0
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+ num batches per epoch / 1epochのバッチ数: 18
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+ num epochs / epoch数: 30
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+ batch size per device / バッチサイズ: 64
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+ total train batch size (with parallel & distributed & accumulation) / 総バッチサイズ（並列学習、勾配合計含む）: 64
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+ gradient ccumulation steps / 勾配を合計するステップ数 = 1
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+ total optimization steps / 学習ステップ数: 540
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+ steps: 0%| | 0/540 [00:00<?, ?it/s]wandb: wandb version 0.17.4 is available! To upgrade, please run:
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+ wandb: $ pip install wandb --upgrade
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+ wandb: Tracking run with wandb version 0.16.2
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+ wandb: Run data is saved locally in ./logs/GPU-使用率-温度检测_perfix20240716142500/wandb/run-20240716_143506-aynrisa1
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+ wandb: Run `wandb offline` to turn off syncing.
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+ wandb: Syncing run fluent-meadow-42
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+ wandb: ⭐️ View project at https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B
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+ wandb: 🚀 View run at https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B/runs/aynrisa1
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+
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+ epoch 1/30
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+ steps: 3%|███▋ | 18/540 [03:02<1:28:15, 10.14s/it, avr_loss=0.124]2024-07-16 14:38:08 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000001.safetensors train_util.py:4694
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+ wandb: WARNING Step only supports monotonically increasing values, use define_metric to set a custom x axis. For details see: https://wandb.me/define-metric
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+ wandb: WARNING (User provided step: 1 is less than current step: 18. Dropping entry: {'loss/epoch': 0.12387802017231782, '_timestamp': 1721111888.7564518}).
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+
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+ epoch 2/30
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+ steps: 7%|███████▍ | 36/540 [05:53<1:22:28, 9.82s/it, avr_loss=0.127]2024-07-16 14:40:59 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000002.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 2 is less than current step: 36. Dropping entry: {'loss/epoch': 0.12723200561271775, '_timestamp': 1721112059.637897}).
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+
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+ epoch 3/30
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+ 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 916/916 [08:53<00:00, 1.72it/s]
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+ 2024-07-16 14:35:03 INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnDownBlock2D False -> True original_unet.py:1521
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+ INFO DownBlock2D False -> True original_unet.py:1521
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+ INFO UNetMidBlock2DCrossAttn False -> True original_unet.py:1521
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+ INFO UpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ INFO CrossAttnUpBlock2D False -> True original_unet.py:1521
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+ prepare optimizer, data loader etc.
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+ 2024-07-16 14:35:04 INFO use 8-bit AdamW optimizer | {} train_util.py:3889
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+ override steps. steps for 30 epochs is / 指定エポックまでのステップ数: 540
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+ running training / 学習開始
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+ num train images * repeats / 学習画像の数×繰り返し回数: 916
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+ num reg images / 正則化画像の数: 0
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+ num batches per epoch / 1epochのバッチ数: 18
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+ num epochs / epoch数: 30
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+ batch size per device / バッチサイズ: 64
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+ total train batch size (with parallel & distributed & accumulation) / 総バッチサイズ（並列学習、勾配合計含む）: 64
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+ gradient ccumulation steps / 勾配を合計するステップ数 = 1
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+ total optimization steps / 学習ステップ数: 540
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+ steps: 0%| | 0/540 [00:00<?, ?it/s]wandb: wandb version 0.17.4 is available! To upgrade, please run:
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+ wandb: $ pip install wandb --upgrade
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+ wandb: Tracking run with wandb version 0.16.2
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+ wandb: Run data is saved locally in ./logs/GPU-使用率-温度检测_perfix20240716142500/wandb/run-20240716_143506-aynrisa1
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+ wandb: Run `wandb offline` to turn off syncing.
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+ wandb: Syncing run fluent-meadow-42
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+ wandb: ⭐️ View project at https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B
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+ wandb: 🚀 View run at https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B/runs/aynrisa1
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+
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+ epoch 1/30
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+ steps: 3%|███▋ | 18/540 [03:02<1:28:15, 10.14s/it, avr_loss=0.124]2024-07-16 14:38:08 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000001.safetensors train_util.py:4694
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+ wandb: WARNING Step only supports monotonically increasing values, use define_metric to set a custom x axis. For details see: https://wandb.me/define-metric
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+ wandb: WARNING (User provided step: 1 is less than current step: 18. Dropping entry: {'loss/epoch': 0.12387802017231782, '_timestamp': 1721111888.7564518}).
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+
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+ epoch 2/30
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+ steps: 7%|███████▍ | 36/540 [05:53<1:22:28, 9.82s/it, avr_loss=0.127]2024-07-16 14:40:59 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000002.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 2 is less than current step: 36. Dropping entry: {'loss/epoch': 0.12723200561271775, '_timestamp': 1721112059.637897}).
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+
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+ epoch 3/30
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+ steps: 10%|███████████ | 54/540 [08:56<1:20:24, 9.93s/it, avr_loss=0.127]2024-07-16 14:44:02 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000003.safetensors train_util.py:4694
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+
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+ epoch 4/30
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+ wandb: WARNING (User provided step: 3 is less than current step: 54. Dropping entry: {'loss/epoch': 0.1265922114253044, '_timestamp': 1721112242.1847267}).
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+ steps: 13%|██████████████▊ | 72/540 [11:52<1:17:14, 9.90s/it, avr_loss=0.127]2024-07-16 14:46:59 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000004.safetensors train_util.py:4694
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+
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+ epoch 5/30
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+ wandb: WARNING (User provided step: 4 is less than current step: 72. Dropping entry: {'loss/epoch': 0.12727194983098242, '_timestamp': 1721112419.1562445}).
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+ steps: 17%|██████████████████▌ | 90/540 [14:49<1:14:05, 9.88s/it, avr_loss=0.137]2024-07-16 14:49:55 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000005.safetensors train_util.py:4694
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+
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+ epoch 6/30
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+ wandb: WARNING (User provided step: 5 is less than current step: 90. Dropping entry: {'loss/epoch': 0.13734278620945084, '_timestamp': 1721112595.198857}).
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+ steps: 20%|██████████████████████ | 108/540 [17:23<1:09:35, 9.67s/it, avr_loss=0.118]2024-07-16 14:52:30 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000006.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 6 is less than current step: 108. Dropping entry: {'loss/epoch': 0.11821738423572646, '_timestamp': 1721112750.0980027}).
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+
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+ epoch 7/30
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+ steps: 23%|█████████████████████████▋ | 126/540 [20:11<1:06:20, 9.61s/it, avr_loss=0.124]2024-07-16 14:55:17 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000007.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 7 is less than current step: 126. Dropping entry: {'loss/epoch': 0.12375647243526247, '_timestamp': 1721112917.4713383}).
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+
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+ epoch 8/30
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+ steps: 27%|█████████████████████████████▎ | 144/540 [23:01<1:03:18, 9.59s/it, avr_loss=0.121]2024-07-16 14:58:07 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000008.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 8 is less than current step: 144. Dropping entry: {'loss/epoch': 0.1209758756061395, '_timestamp': 1721113087.5138469}).
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+
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+ epoch 9/30
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+ steps: 30%|█████████████████████████████████�� | 162/540 [26:18<1:01:23, 9.75s/it, avr_loss=0.12]2024-07-16 15:01:24 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000009.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 9 is less than current step: 162. Dropping entry: {'loss/epoch': 0.12002807193332249, '_timestamp': 1721113284.88461}).
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+
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+ epoch 10/30
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+ steps: 33%|█████████████████████████████████████▎ | 180/540 [29:06<58:13, 9.70s/it, avr_loss=0.123]2024-07-16 15:04:13 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000010.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 10 is less than current step: 180. Dropping entry: {'loss/epoch': 0.12288845289084646, '_timestamp': 1721113453.062439}).
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+
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+ epoch 11/30
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+ steps: 36%|███████████████████████████████████████▊ | 192/540 [31:07<56:25, 9.73s/it, avr_loss=0.129]
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+ steps: 37%|█████████████████████████████████████████▍ | 198/540 [31:57<55:12, 9.68s/it, avr_loss=0.13]2024-07-16 15:07:03 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000011.safetensors train_util.py:4694
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+
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+ epoch 12/30
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+ wandb: WARNING (User provided step: 11 is less than current step: 198. Dropping entry: {'loss/epoch': 0.1302021476957533, '_timestamp': 1721113623.696793}).
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+ steps: 39%|███████████████████████████████████████████▌ | 210/540 [33:40<52:55, 9.62s/it, avr_loss=0.116]
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+ steps: 22%|████████████████████████▍ | 120/540 [19:22<1:07:47, 9.68s/it,steps: 22%|████████████████████████▍ | 120/540 [19:22<1:07:47, 9.68s/it,steps: 22%|████████████████████████▋ | 121/540 [19:25<1:07:16, 9.63s/it,steps: 22%|████████████████████████▋ | 121/540 [19:25<1:07:16, 9.63s/it,steps: 23%|████████████████████████▊ | 122/540 [19:36<1:07:09, 9.64s/it,steps: 23%|████████████████████████▊ | 122/540 [19:36<1:07:09, 9.64s/it,steps: 23%|█████████████████████████ | 123/540 [19:47<1:07:05, 9.65s/it,steps: 23%|█████████████████████████ | 123/540 [19:47<1:07:05, 9.65s/it,steps: 23%|█████████████████████████▎ | 124/540 [19:58<1:07:02, 9.67s/it,steps: 23%|█████████████████████████▎ | 124/540 [19:58<1:07:02, 9.67s/it,steps: 23%|█████████████████████████▍ | 125/540 [20:00<1:06:24, 9.60s/it,steps: 23%|█████████████████████████▍ | 125/540 [20:00<1:06:24, 9.60s/it,steps: 23%|█████████████████████████▋ | 126/540 [20:11<1:06:20, 9.61s/it,steps: 23%|█████████████████████████▋ | 126/540 [20:11<1:06:20, 9.61s/it, avr_loss=0.124]2024-07-16 14:55:17 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000007.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 7 is less than current step: 126. Dropping entry: {'loss/epoch': 0.12375647243526247, '_timestamp': 1721112917.4713383}).
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+
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+ epoch 8/30
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+ steps: 24%|█████████████████████████▊ | 127/540 [20:27<1:06:30, 9.66s/it,steps: 24%|██████████████████████████ | 127/540 [20:27<1:06:30, 9.66s/itsteps: 24%|██████████████████████████▎ | 128/540 [20:27<1:05:51, 9.59s/itsteps: 24%|██████████████████████████ | 128/540 [20:27<1:05:51, 9.59s/it,steps: 24%|██████████████████████████▎ | 129/540 [20:39<1:05:47, 9.61s/it,steps: 24%|██████████████████████████▎ | 129/540 [20:39<1:05:47, 9.61s/it,steps: 24%|██████████████████████████▍ | 130/540 [20:50<1:05:43, 9.62s/it,steps: 24%|██████████████████████████▍ | 130/540 [20:50<1:05:43, 9.62s/it,steps: 24%|██████████████████████████▋ | 131/540 [21:01<1:05:39, 9.63s/it,steps: 24%|██████████████████████████▋ | 131/540 [21:01<1:05:39, 9.63s/it,steps: 24%|██████████████████████████▉ | 132/540 [21:13<1:05:35, 9.65s/it,steps: 24%|██████████████████████████▉ | 132/540 [21:13<1:05:35, 9.65s/it,steps: 25%|███████████████████████████ | 133/540 [21:24<1:05:31, 9.66s/it,steps: 25%|███████████████████████████ | 133/540 [21:24<1:05:31, 9.66s/it,steps: 25%|███████████████████████████▎ | 134/540 [21:30<1:05:10, 9.63s/it,steps: 25%|███████████████████████████▌ | 134/540 [21:30<1:05:10, 9.63s/itsteps: 25%|███████████████████████████▊ | 135/540 [21:41<1:05:05, 9.64s/itsteps: 25%|███████████████████████████▌ | 135/540 [21:41<1:05:05, 9.64s/it,steps: 25%|███████████████████████████▋ | 136/540 [21:45<1:04:38, 9.60s/it,steps: 25%|███████████████████████████▉ | 136/540 [21:45<1:04:38, 9.60s/itsteps: 25%|████████████████████████████▏ | 137/540 [21:56<1:04:33, 9.61s/itsteps: 25%|███████████████████████████▉ | 137/540 [21:56<1:04:33, 9.61s/it,steps: 26%|████████████████████████████ | 138/540 [21:58<1:03:59, 9.55s/it,steps: 26%|████████████████████████████ | 138/540 [21:58<1:03:59, 9.55s/it,steps: 26%|████████████████████████████▎ | 139/540 [22:09<1:03:55, 9.57s/it,steps: 26%|████████████████████████████▎ | 139/540 [22:09<1:03:55, 9.57s/it,steps: 26%|████████████████████████████▌ | 140/540 [22:15<1:03:35, 9.54s/it,steps: 26%|████████████████████████████▌ | 140/540 [22:15<1:03:35, 9.54s/it,steps: 26%|████████████████████████████▋ | 141/540 [22:26<1:03:31, 9.55s/it,steps: 26%|████████████████████████████▋ | 141/540 [22:26<1:03:31, 9.55s/it,steps: 26%|████████████████████████████▉ | 142/540 [22:38<1:03:27, 9.57s/it,steps: 26%|████████████████████████████▉ | 142/540 [22:38<1:03:27, 9.57s/it,steps: 26%|█████████████████████████████▏ | 143/540 [22:49<1:03:23, 9.58s/it,steps: 26%|█████████████████████████████▍ | 143/540 [22:49<1:03:23, 9.58s/itsteps: 27%|█████████████████████████████▌ | 144/540 [23:01<1:03:18, 9.59s/itsteps: 27%|█████████████████████████████▎ | 144/540 [23:01<1:03:18, 9.59s/it, avr_loss=0.121]2024-07-16 14:58:07 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000008.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 8 is less than current step: 144. Dropping entry: {'loss/epoch': 0.1209758756061395, '_timestamp': 1721113087.5138469}).
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+ epoch 9/30
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+ steps: 27%|█████████████████████████████▌ | 145/540 [23:23<1:03:43, 9.68s/it,steps: 27%|█████████████████████████████▌ | 145/540 [23:23<1:03:43, 9.68s/it,steps: 27%|█████████████████████████████▋ | 146/540 [23:35<1:03:38, 9.69s/it,steps: 27%|█████████████████████████████▋ | 146/540 [23:35<1:03:38, 9.69s/it,steps: 27%|███████████��█████████████████▉ | 147/540 [23:45<1:03:30, 9.70s/it,steps: 27%|█████████████████████████████▉ | 147/540 [23:45<1:03:30, 9.70s/it,steps: 27%|██████████████████████████████▏ | 148/540 [23:56<1:03:25, 9.71s/it,steps: 27%|██████████████████████████████▏ | 148/540 [23:56<1:03:25, 9.71s/it,steps: 28%|██████████████████████████████▎ | 149/540 [24:08<1:03:20, 9.72s/it,steps: 28%|██████████████████████████████▎ | 149/540 [24:08<1:03:20, 9.72s/it,steps: 28%|██████████████████████████████▌ | 150/540 [24:19<1:03:15, 9.73s/it,steps: 28%|██████████████████████████████▌ | 150/540 [24:19<1:03:15, 9.73s/it,steps: 28%|██████████████████████████████▊ | 151/540 [24:31<1:03:10, 9.74s/it,steps: 28%|██████████████████████████████▊ | 151/540 [24:31<1:03:10, 9.74s/it,steps: 28%|██████████████████████████████▉ | 152/540 [24:42<1:03:04, 9.75s/it,steps: 28%|██████████████████████████████▉ | 152/540 [24:42<1:03:04, 9.75s/it,steps: 28%|███████████████████████████████▏ | 153/540 [24:54<1:02:59, 9.77s/it,steps: 28%|███████████████████████████████▏ | 153/540 [24:54<1:02:59, 9.77s/it,steps: 29%|███████████████████████████████▎ | 154/540 [25:05<1:02:53, 9.78s/it,steps: 29%|███████████████████████████████▎ | 154/540 [25:05<1:02:53, 9.78s/it,steps: 29%|███████████████████████████████▌ | 155/540 [25:16<1:02:47, 9.79s/it,steps: 29%|███████████████████████████████▌ | 155/540 [25:16<1:02:47, 9.79s/it,steps: 29%|███████████████████████████████▊ | 156/540 [25:28<1:02:42, 9.80s/it,steps: 29%|███████████████████████████████▊ | 156/540 [25:28<1:02:42, 9.80s/it,steps: 29%|███████████████████████████████▉ | 157/540 [25:38<1:02:33, 9.80s/it,steps: 29%|███████████████████████████████▉ | 157/540 [25:38<1:02:33, 9.80s/it,steps: 29%|████████████████████████████████▏ | 158/540 [25:43<1:02:12, 9.77s/it,steps: 29%|████████████████████████████████▍ | 158/540 [25:43<1:02:12, 9.77s/itsteps: 29%|████████████████████████████████▋ | 159/540 [25:55<1:02:06, 9.78s/itsteps: 29%|████████████████████████████████▍ | 159/540 [25:55<1:02:06, 9.78s/it,steps: 30%|████████████████████████████████▌ | 160/540 [25:55<1:01:35, 9.72s/it,steps: 30%|████████████████████████████████▌ | 160/540 [25:55<1:01:35, 9.72s/it,steps: 30%|████████████████████████████████▊ | 161/540 [26:07<1:01:29, 9.73s/it,steps: 30%|████████████████████████████████▊ | 161/540 [26:07<1:01:29, 9.73s/it,steps: 30%|█████████████████████████████████ | 162/540 [26:18<1:01:23, 9.75s/it,steps: 30%|█████████████████████████████████▎ | 162/540 [26:18<1:01:23, 9.75s/it, avr_loss=0.12]2024-07-16 15:01:24 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000009.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 9 is less than current step: 162. Dropping entry: {'loss/epoch': 0.12002807193332249, '_timestamp': 1721113284.88461}).
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+ steps: 30%|█████████████████████████████████▌ | 163/540 [26:30<1:01:18, 9.76s/itsteps: 30%|█████████████████████████████████▏ | 163/540 [26:30<1:01:18, 9.76s/it,steps: 30%|█████████████████████████████████▍ | 164/540 [26:41<1:01:12, 9.77s/it,steps: 30%|█████████████████████████████████▍ | 164/540 [26:41<1:01:12, 9.77s/it,steps: 31%|█████████████████████████████████▌ | 165/540 [26:53<1:01:06, 9.78s/it,steps: 31%|█████████████████████████████████▌ | 165/540 [26:53<1:01:06, 9.78s/it,steps: 31%|█████████████████████████████████▊ | 166/540 [26:58<1:00:46, 9.75s/it,steps: 31%|█████████████████████████████████▊ | 166/540 [26:58<1:00:46, 9.75s/it,steps: 31%|██████████████████████████████████ | 167/540 [27:09<1:00:40, 9.76s/it,steps: 31%|██████████████████████████████████ | 167/540 [27:09<1:00:40, 9.76s/it,steps: 31%|██████████████████████████████████▏ | 168/540 [27:21<1:00:34, 9.77s/it,steps: 31%|██████████████████████████████████▏ | 168/540 [27:21<1:00:34, 9.77s/it,steps: 31%|██████████████████████████████████▍ | 169/540 [27:32<1:00:28, 9.78s/it,steps: 31%|██████████████████████████████████▍ | 169/540 [27:32<1:00:28, 9.78s/it,steps: 31%|██████████████████████████████████▋ | 170/540 [27:43<1:00:20, 9.78s/it,steps: 31%|██████████████████████████████████▋ | 170/540 [27:43<1:00:20, 9.78s/it,steps: 32%|██████████████████████████████████▊ | 171/540 [27:54<1:00:14, 9.79s/it,steps: 32%|██████████████████████████████████▊ | 171/540 [27:54<1:00:14, 9.79s/it,steps: 32%|███████████████████████████████████ | 172/540 [28:05<1:00:07, 9.80s/it,steps: 32%|███████████████████████████████████▎ | 172/540 [28:05<1:00:07, 9.80s/itsteps: 32%|████████████████████████████████████▏ | 173/540 [28:06<59:37, 9.75s/itsteps: 32%|███████████████████████████████████▉ | 173/540 [28:06<59:37, 9.75s/it,steps: 32%|████████████████████████████████████ | 174/540 [28:17<59:31, 9.76s/it,steps: 32%|████████████████████████████████████ | 174/540 [28:17<59:31, 9.76s/it,steps: 32%|████████████████████████████████████▎ | 175/540 [28:21<59:08, 9.72s/it,steps: 32%|████████████████████████████████████▎ | 175/540 [28:21<59:08, 9.72s/it,steps: 33%|████████████████████████████████████▌ | 176/540 [28:26<58:49, 9.70s/it,steps: 33%|████████████████████████████████████▌ | 176/540 [28:26<58:49, 9.70s/it,steps: 33%|████████████████████████████████████▋ | 177/540 [28:37<58:43, 9.71s/it,steps: 33%|████████████████████████████████████▋ | 177/540 [28:37<58:43, 9.71s/it,steps: 33%|████████████████████████████████████▉ | 178/540 [28:49<58:37, 9.72s/it,steps: 33%|████████████████████████████████████▉ | 178/540 [28:49<58:37, 9.72s/it,steps: 33%|█████████████████████████████████████▏ | 179/540 [29:00<58:30, 9.73s/it,steps: 33%|█████████████████████████████████████▏ | 179/540 [29:00<58:30, 9.73s/it,steps: 33%|█████████████████████████████████████▎ | 180/540 [29:06<58:13, 9.70s/it,steps: 33%|█████████████████████████████████████▎ | 180/540 [29:06<58:13, 9.70s/it, avr_loss=0.123]2024-07-16 15:04:13 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000010.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 10 is less than current step: 180. Dropping entry: {'loss/epoch': 0.12288845289084646, '_timestamp': 1721113453.062439}).
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+
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+ epoch 11/30
250
+ steps: 34%|█████████████████████████████████████▌ | 181/540 [29:31<58:33, 9.79s/it,steps: 34%|█████████████████████████████████████▌ | 181/540 [29:31<58:33, 9.79s/it,steps: 34%|█████████████████████████████████████▋ | 182/540 [29:42<58:26, 9.79s/it,steps: 34%|█████████████████████████████████████▋ | 182/540 [29:42<58:26, 9.79s/it,steps: 34%|█████████████████████████████████████▉ | 183/540 [29:46<58:04, 9.76s/it,steps: 34%|█████████████████████████████████████▉ | 183/540 [29:46<58:04, 9.76s/it,steps: 34%|██████████████████████████████████████▏ | 184/540 [29:57<57:57, 9.77s/it,steps: 34%|██████████████████████████████████████▏ | 184/540 [29:57<57:58, 9.77s/it,steps: 34%|██████████████████████████████████████▎ | 185/540 [30:09<57:51, 9.78s/it,steps: 34%|██████████████████████████████████████▎ | 185/540 [30:09<57:51, 9.78s/it,steps: 34%|██████████████████████████████████████▌ | 186/540 [30:20<57:44, 9.79s/it,steps: 34%|██████████████████████████████████████▌ | 186/540 [30:20<57:44, 9.79s/it,steps: 35%|██████████████████████████████████████▊ | 187/540 [30:21<57:18, 9.74s/it,steps: 35%|██████████████████████████████████████▊ | 187/540 [30:21<57:18, 9.74s/it,steps: 35%|██████████████████████████████████████▉ | 188/540 [30:33<57:12, 9.75s/it,steps: 35%|██████████████████████████████████████▉ | 188/540 [30:33<57:12, 9.75s/it,steps: 35%|███████████████████████████████████████▏ | 189/540 [30:43<57:03, 9.75s/it,steps: 35%|█████████████████████████��█████████████▏ | 189/540 [30:43<57:03, 9.75s/it,steps: 35%|███████████████████████████████████████▍ | 190/540 [30:44<56:38, 9.71s/it,steps: 35%|███████████████████████████████████████▍ | 190/540 [30:44<56:38, 9.71s/it,steps: 35%|███████████████████████████████████████▌ | 191/540 [30:56<56:31, 9.72s/it,steps: 35%|███████████████████████████████████████▌ | 191/540 [30:56<56:31, 9.72s/it,steps: 36%|███████████████████████████████████████▊ | 192/540 [31:07<56:25, 9.73s/it,steps: 36%|███████████████████████████████████████▊ | 192/540 [31:07<56:25, 9.73s/it, avr_loss=0.129]
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+ steps: 36%|████████████████████████████████████████ | 193/540 [31:19<56:18, 9.74s/it,steps: 36%|████████████████████████████████████████ | 193/540 [31:19<56:18, 9.74s/it,steps: 36%|████████████████████████████████████████▏ | 194/540 [31:30<56:11, 9.75s/it,steps: 36%|████████████████████████████████████████▌ | 194/540 [31:30<56:11, 9.75s/itsteps: 36%|████████████████████████████████████████▊ | 195/540 [31:42<56:05, 9.75s/itsteps: 36%|████████████████████████████████████████▍ | 195/540 [31:42<56:05, 9.75s/it,steps: 36%|████████████████████████████████████████▋ | 196/540 [31:42<55:39, 9.71s/it,steps: 36%|████████████████████████████████████████▋ | 196/540 [31:42<55:39, 9.71s/it,steps: 36%|████████████████████████████████████████▊ | 197/540 [31:46<55:18, 9.68s/it,steps: 36%|████████████████████████████████████████▊ | 197/540 [31:46<55:18, 9.68s/it,steps: 37%|█████████████████████████████████████████ | 198/540 [31:57<55:12, 9.68s/it,steps: 37%|█████████████████████████████████████████▍ | 198/540 [31:57<55:12, 9.68s/it, avr_loss=0.13]2024-07-16 15:07:03 INFO train_util.py:4693
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+ INFO saving checkpoint: /root/dongman/dongman-000011.safetensors train_util.py:4694
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+
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+ epoch 12/30
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+ wandb: WARNING (User provided step: 11 is less than current step: 198. Dropping entry: {'loss/epoch': 0.1302021476957533, '_timestamp': 1721113623.696793}).
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+ INFO saving checkpoint: /root/dongman/dongman-000012.safetensors train_util.py:4694
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+ wandb: WARNING (User provided step: 12 is less than current step: 216. Dropping entry: {'loss/epoch': 0.11072513955231342, '_timestamp': 1721113776.9099343}).
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+ epoch 13/30
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+ wandb:
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+ wandb: Run history:
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+ wandb: loss ▅▃▃▁▂▃█▄▄▂▄▂▂▃▃▄▃▄▂▃▃▂▅▂▅▂▃▂▃▃▁▂▂▂▄▂▄▁▃▁
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+ wandb: lr/text_encoder1 ███████▇▇▇▇▇▆▆▆▆▅▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁
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+ wandb: lr/unet ███████▇▇▇▇▇▆▆▆▆▅▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁
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+ wandb:
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+ wandb: Run summary:
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+ wandb: loss 0.11099
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+ wandb: lr/text_encoder1 0.0
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+ wandb: lr/unet 0.0
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+ wandb:
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+ wandb: 🚀 View run fluent-meadow-42 at: https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B/runs/aynrisa1
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+ wandb: ️⚡ View job at https://wandb.ai/renwu/GPU-%E4%BD%BF%E7%94%A8%E7%8E%87-%E6%B8%A9%E5%BA%A6%E6%A3%80%E6%B5%8B/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjI3NTExODY0Mw==/version_details/v0
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+ wandb: Synced 6 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
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+ wandb: Find logs at: ./logs/GPU-使用率-温度检测_perfix20240716142500/wandb/run-20240716_143506-aynrisa1/logs
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+ wandb: WARNING (User provided step: 30 is less than current step: 540. Dropping entry: {'loss/epoch': 0.11476703153716193, '_timestamp': 1721117023.0890737}).
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+ 2024-07-16 16:04:05 INFO save trained model as StableDiffusion checkpoint to /root/dongman/dongman.safetensors train_util.py:4851
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+ 2024-07-16 16:04:16 INFO model saved. train_db.py:479
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+ steps: 100%|██████���███████████████████████████████████████████████████████████████████████████████████████████████████████| 540/540 [1:29:09<00:00, 9.91s/it, avr_loss=0.115]
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+ 16:04:23-707257 INFO Training finished / 训练完成