diff --git "a/logs/1_log.txt" "b/logs/1_log.txt"
new file mode 100644--- /dev/null
+++ "b/logs/1_log.txt"
@@ -0,0 +1,506 @@
+Running 1 job
+{
+    "type": "diffusion_trainer",
+    "training_folder": "/root/lab/ai-toolkit/output",
+    "sqlite_db_path": "/root/lab/ai-toolkit/aitk_db.db",
+    "device": "cuda",
+    "trigger_word": "l4n4lux",
+    "performance_log_every": 10,
+    "network": {
+        "type": "lora",
+        "linear": 64,
+        "linear_alpha": 64,
+        "conv": 16,
+        "conv_alpha": 16,
+        "lokr_full_rank": true,
+        "lokr_factor": -1,
+        "network_kwargs": {
+            "ignore_if_contains": []
+        }
+    },
+    "save": {
+        "dtype": "bf16",
+        "save_every": 250,
+        "max_step_saves_to_keep": 4,
+        "save_format": "diffusers",
+        "push_to_hub": false
+    },
+    "datasets": [
+        {
+            "folder_path": "/root/lab/ai-toolkit/datasets/lana",
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "l4n4lux",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.05,
+            "cache_latents_to_disk": false,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+                512,
+                768,
+                1024
+            ],
+            "controls": [],
+            "shrink_video_to_frames": true,
+            "num_frames": 1,
+            "flip_x": false,
+            "flip_y": false,
+            "num_repeats": 1
+        }
+    ],
+    "train": {
+        "batch_size": 1,
+        "bypass_guidance_embedding": false,
+        "steps": 5000,
+        "gradient_accumulation": 1,
+        "train_unet": true,
+        "train_text_encoder": false,
+        "gradient_checkpointing": true,
+        "noise_scheduler": "flowmatch",
+        "optimizer": "adamw8bit",
+        "timestep_type": "sigmoid",
+        "content_or_style": "balanced",
+        "optimizer_params": {
+            "weight_decay": 0.0001
+        },
+        "unload_text_encoder": false,
+        "cache_text_embeddings": false,
+        "lr": 0.0001,
+        "ema_config": {
+            "use_ema": false,
+            "ema_decay": 0.99
+        },
+        "skip_first_sample": true,
+        "force_first_sample": false,
+        "disable_sampling": false,
+        "dtype": "bf16",
+        "diff_output_preservation": true,
+        "diff_output_preservation_multiplier": 1,
+        "diff_output_preservation_class": "woman",
+        "switch_boundary_every": 1,
+        "loss_type": "mse"
+    },
+    "logging": {
+        "log_every": 1,
+        "use_ui_logger": true
+    },
+    "model": {
+        "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
+        "quantize": false,
+        "qtype": "qfloat8",
+        "quantize_te": false,
+        "qtype_te": "qfloat8",
+        "arch": "wan22_14b:t2v",
+        "low_vram": false,
+        "model_kwargs": {
+            "train_high_noise": false,
+            "train_low_noise": true
+        },
+        "layer_offloading": false,
+        "layer_offloading_text_encoder_percent": 1,
+        "layer_offloading_transformer_percent": 1
+    },
+    "sample": {
+        "sampler": "flowmatch",
+        "sample_every": 250,
+        "width": 1024,
+        "height": 1024,
+        "samples": [
+            {
+                "prompt": "l4n4lux, woman with red hair, playing chess at the park, bomb going off in the background"
+            }
+        ],
+        "neg": "",
+        "seed": 42,
+        "walk_seed": true,
+        "guidance_scale": 4,
+        "sample_steps": 12,
+        "num_frames": 1,
+        "fps": 1
+    }
+}
+Using SQLite database at /root/lab/ai-toolkit/aitk_db.db
+Job ID: "765fbd95-c627-460c-a232-147504194a44"
+
+#############################################
+# Running job: lana-lora-wan2.2
+#############################################
+
+
+Running  1 process
+Loading Wan model
+Loading transformer 1
+
Loading checkpoint shards:   0%|                                                                                       | 0/3 [00:00<?, ?it/s]
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+
+Loading transformer 2
+
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+
+Creating DualWanTransformer3DModel
+Loading UMT5EncoderModel
+You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
+You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
+Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
+`torch_dtype` is deprecated! Use `dtype` instead!
+`torch_dtype` is deprecated! Use `dtype` instead!
+
Loading checkpoint shards:   0%|                                                                                       | 0/3 [00:00<?, ?it/s]
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Loading checkpoint shards:  67%|####################################################6                          | 2/3 [00:00<00:00,  9.08it/s]
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+
+Loading VAE
+Making pipe
+Preparing Model
+create LoRA network. base dim (rank): 64, alpha: 64
+neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
+apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
+create LoRA for Text Encoder: 0 modules.
+create LoRA for U-Net: 400 modules.
+enable LoRA for U-Net
+#### IMPORTANT RESUMING FROM /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000000250_low_noise.safetensors ####
+Loading from /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000000250_low_noise.safetensors
+Missing keys: []
+Found step 250 in metadata, starting from there
+Loading optimizer state from /root/lab/ai-toolkit/output/lana-lora-wan2.2/optimizer.pt
+Updating optimizer LR from params
+Dataset: /root/lab/ai-toolkit/datasets/lana
+  -  Preprocessing image dimensions
+
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+
+  -  Found 72 images
+Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
+480x512: 72 files
+1 buckets made
+Dataset: /root/lab/ai-toolkit/datasets/lana
+  -  Preprocessing image dimensions
+
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+
+  -  Found 72 images
+Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
+720x768: 72 files
+1 buckets made
+Dataset: /root/lab/ai-toolkit/datasets/lana
+  -  Preprocessing image dimensions
+
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+
+  -  Found 72 images
+Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
+960x1024: 72 files
+1 buckets made
+Skipping first sample due to config setting
+
lana-lora-wan2.2:   5%|####5                                                                                      | 250/5000 [00:00<?, ?it/s]
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lana-lora-wan2.2:   6%|##9                                                 | 284/5000 [01:24<3:14:38,  2.48s/it, lr: 1.0e-04 loss: 4.585e-02]
lana-lora-wan2.2:   6%|##9                                                 | 284/5000 [01:24<3:14:38,  2.48s/it, lr: 1.0e-04 loss: 4.585e-02]
lana-lora-wan2.2:   6%|##9                                                 | 285/5000 [01:25<3:11:40,  2.44s/it, lr: 1.0e-04 loss: 7.121e-02]
lana-lora-wan2.2:   6%|##9                                                 | 285/5000 [01:25<3:11:40,  2.44s/it, lr: 1.0e-04 loss: 7.121e-02]
lana-lora-wan2.2:   6%|##9                                                 | 286/5000 [01:29<3:14:16,  2.47s/it, lr: 1.0e-04 loss: 6.658e-02]
lana-lora-wan2.2:   6%|##9                                                 | 286/5000 [01:29<3:14:16,  2.47s/it, lr: 1.0e-04 loss: 6.658e-02]
lana-lora-wan2.2:   6%|##9                                                 | 287/5000 [01:31<3:13:35,  2.46s/it, lr: 1.0e-04 loss: 4.912e-02]
lana-lora-wan2.2:   6%|##9                                                 | 287/5000 [01:31<3:13:35,  2.46s/it, lr: 1.0e-04 loss: 4.912e-02]
lana-lora-wan2.2:   6%|##9                                                 | 288/5000 [01:34<3:16:01,  2.50s/it, lr: 1.0e-04 loss: 3.703e-02]
lana-lora-wan2.2:   6%|##9                                                 | 288/5000 [01:34<3:16:01,  2.50s/it, lr: 1.0e-04 loss: 3.703e-02]
lana-lora-wan2.2:   6%|###                                                 | 289/5000 [01:38<3:18:20,  2.53s/it, lr: 1.0e-04 loss: 2.339e-01]
lana-lora-wan2.2:   6%|###                                                 | 289/5000 [01:38<3:18:20,  2.53s/it, lr: 1.0e-04 loss: 2.339e-01]
lana-lora-wan2.2:   6%|###                                                 | 290/5000 [01:40<3:18:09,  2.52s/it, lr: 1.0e-04 loss: 3.657e-02]
lana-lora-wan2.2:   6%|###                                                 | 290/5000 [01:40<3:18:09,  2.52s/it, lr: 1.0e-04 loss: 3.657e-02]
lana-lora-wan2.2:   6%|###                                                 | 291/5000 [01:43<3:17:26,  2.52s/it, lr: 1.0e-04 loss: 3.150e-02]
lana-lora-wan2.2:   6%|###                                                 | 291/5000 [01:43<3:17:26,  2.52s/it, lr: 1.0e-04 loss: 3.150e-02]
lana-lora-wan2.2:   6%|###                                                 | 292/5000 [01:46<3:19:32,  2.54s/it, lr: 1.0e-04 loss: 8.685e-02]
lana-lora-wan2.2:   6%|###                                                 | 292/5000 [01:46<3:19:32,  2.54s/it, lr: 1.0e-04 loss: 8.685e-02]
lana-lora-wan2.2:   6%|###                                                 | 293/5000 [01:50<3:21:31,  2.57s/it, lr: 1.0e-04 loss: 4.755e-02]
lana-lora-wan2.2:   6%|###                                                 | 293/5000 [01:50<3:21:31,  2.57s/it, lr: 1.0e-04 loss: 4.755e-02]
lana-lora-wan2.2:   6%|###                                                 | 294/5000 [01:54<3:23:25,  2.59s/it, lr: 1.0e-04 loss: 2.861e-02]
lana-lora-wan2.2:   6%|###                                                 | 294/5000 [01:54<3:23:25,  2.59s/it, lr: 1.0e-04 loss: 2.861e-02]
lana-lora-wan2.2:   6%|###                                                 | 295/5000 [01:56<3:22:38,  2.58s/it, lr: 1.0e-04 loss: 4.737e-02]
lana-lora-wan2.2:   6%|###                                                 | 295/5000 [01:56<3:22:38,  2.58s/it, lr: 1.0e-04 loss: 4.737e-02]
lana-lora-wan2.2:   6%|###                                                 | 296/5000 [02:00<3:24:50,  2.61s/it, lr: 1.0e-04 loss: 3.219e-02]
lana-lora-wan2.2:   6%|###                                                 | 296/5000 [02:00<3:24:50,  2.61s/it, lr: 1.0e-04 loss: 3.219e-02]
lana-lora-wan2.2:   6%|###                                                 | 297/5000 [02:03<3:26:32,  2.64s/it, lr: 1.0e-04 loss: 1.015e-01]
lana-lora-wan2.2:   6%|###                                                 | 297/5000 [02:03<3:26:32,  2.64s/it, lr: 1.0e-04 loss: 1.015e-01]
lana-lora-wan2.2:   6%|###                                                 | 298/5000 [02:06<3:25:44,  2.63s/it, lr: 1.0e-04 loss: 5.488e-02]
lana-lora-wan2.2:   6%|###                                                 | 298/5000 [02:06<3:25:44,  2.63s/it, lr: 1.0e-04 loss: 5.488e-02]
lana-lora-wan2.2:   6%|###1                                                | 299/5000 [02:09<3:27:22,  2.65s/it, lr: 1.0e-04 loss: 3.092e-02]
lana-lora-wan2.2:   6%|###1                                                | 299/5000 [02:09<3:27:22,  2.65s/it, lr: 1.0e-04 loss: 3.092e-02]
lana-lora-wan2.2:   6%|###1                                                | 300/5000 [02:11<3:26:35,  2.64s/it, lr: 1.0e-04 loss: 9.039e-02]
lana-lora-wan2.2:   6%|###1                                                | 300/5000 [02:11<3:26:35,  2.64s/it, lr: 1.0e-04 loss: 9.039e-02]
lana-lora-wan2.2:   6%|###1                                                | 301/5000 [02:13<3:24:48,  2.62s/it, lr: 1.0e-04 loss: 4.803e-02]
lana-lora-wan2.2:   6%|###1                                                | 301/5000 [02:13<3:24:48,  2.62s/it, lr: 1.0e-04 loss: 4.803e-02]
lana-lora-wan2.2:   6%|###1                                                | 302/5000 [02:17<3:26:19,  2.63s/it, lr: 1.0e-04 loss: 3.021e-02]
lana-lora-wan2.2:   6%|###1                                                | 302/5000 [02:17<3:26:19,  2.63s/it, lr: 1.0e-04 loss: 3.021e-02]
lana-lora-wan2.2:   6%|###1                                                | 303/5000 [02:19<3:25:35,  2.63s/it, lr: 1.0e-04 loss: 4.879e-02]
lana-lora-wan2.2:   6%|###1                                                | 303/5000 [02:19<3:25:35,  2.63s/it, lr: 1.0e-04 loss: 4.879e-02]
lana-lora-wan2.2:   6%|###1                                                | 304/5000 [02:22<3:27:03,  2.65s/it, lr: 1.0e-04 loss: 1.179e-01]
lana-lora-wan2.2:   6%|###1                                                | 304/5000 [02:22<3:27:03,  2.65s/it, lr: 1.0e-04 loss: 1.179e-01]
lana-lora-wan2.2:   6%|###1                                                | 305/5000 [02:25<3:26:19,  2.64s/it, lr: 1.0e-04 loss: 2.001e-01]
lana-lora-wan2.2:   6%|###1                                                | 305/5000 [02:25<3:26:19,  2.64s/it, lr: 1.0e-04 loss: 2.001e-01]
lana-lora-wan2.2:   6%|###1                                                | 306/5000 [02:28<3:27:42,  2.66s/it, lr: 1.0e-04 loss: 4.293e-02]
lana-lora-wan2.2:   6%|###1                                                | 306/5000 [02:28<3:27:42,  2.66s/it, lr: 1.0e-04 loss: 4.293e-02]
lana-lora-wan2.2:   6%|###1                                                | 307/5000 [02:31<3:27:26,  2.65s/it, lr: 1.0e-04 loss: 4.079e-02]
lana-lora-wan2.2:   6%|###1                                                | 307/5000 [02:31<3:27:26,  2.65s/it, lr: 1.0e-04 loss: 4.079e-02]
lana-lora-wan2.2:   6%|###2                                                | 308/5000 [02:32<3:25:26,  2.63s/it, lr: 1.0e-04 loss: 9.045e-02]
lana-lora-wan2.2:   6%|###2                                                | 308/5000 [02:32<3:25:26,  2.63s/it, lr: 1.0e-04 loss: 9.045e-02]
lana-lora-wan2.2:   6%|###2                                                | 309/5000 [02:36<3:26:45,  2.64s/it, lr: 1.0e-04 loss: 4.420e-02]
lana-lora-wan2.2:   6%|###2                                                | 309/5000 [02:36<3:26:45,  2.64s/it, lr: 1.0e-04 loss: 4.420e-02]
lana-lora-wan2.2:   6%|###2                                                | 310/5000 [02:37<3:24:48,  2.62s/it, lr: 1.0e-04 loss: 3.678e-02]
lana-lora-wan2.2:   6%|###2                                                | 310/5000 [02:37<3:24:48,  2.62s/it, lr: 1.0e-04 loss: 3.678e-02]
lana-lora-wan2.2:   6%|###2                                                | 311/5000 [02:38<3:22:55,  2.60s/it, lr: 1.0e-04 loss: 2.888e-01]
lana-lora-wan2.2:   6%|###2                                                | 311/5000 [02:38<3:22:55,  2.60s/it, lr: 1.0e-04 loss: 2.888e-01]
lana-lora-wan2.2:   6%|###2                                                | 312/5000 [02:39<3:21:04,  2.57s/it, lr: 1.0e-04 loss: 1.334e-01]
lana-lora-wan2.2:   6%|###2                                                | 312/5000 [02:39<3:21:04,  2.57s/it, lr: 1.0e-04 loss: 1.334e-01]
lana-lora-wan2.2:   6%|###2                                                | 313/5000 [02:43<3:22:44,  2.60s/it, lr: 1.0e-04 loss: 3.881e-02]
lana-lora-wan2.2:   6%|###2                                                | 313/5000 [02:43<3:22:44,  2.60s/it, lr: 1.0e-04 loss: 3.881e-02]
lana-lora-wan2.2:   6%|###2                                                | 314/5000 [02:44<3:20:58,  2.57s/it, lr: 1.0e-04 loss: 1.053e-01]
lana-lora-wan2.2:   6%|###2                                                | 314/5000 [02:44<3:20:58,  2.57s/it, lr: 1.0e-04 loss: 1.053e-01]
lana-lora-wan2.2:   6%|###2                                                | 315/5000 [02:45<3:19:16,  2.55s/it, lr: 1.0e-04 loss: 2.877e-01]
lana-lora-wan2.2:   6%|###2                                                | 315/5000 [02:45<3:19:16,  2.55s/it, lr: 1.0e-04 loss: 2.877e-01]
lana-lora-wan2.2:   6%|###2                                                | 316/5000 [02:49<3:20:33,  2.57s/it, lr: 1.0e-04 loss: 4.308e-02]
lana-lora-wan2.2:   6%|###2                                                | 316/5000 [02:49<3:20:33,  2.57s/it, lr: 1.0e-04 loss: 4.308e-02]
lana-lora-wan2.2:   6%|###2                                                | 317/5000 [02:50<3:18:53,  2.55s/it, lr: 1.0e-04 loss: 1.944e-01]
lana-lora-wan2.2:   6%|###2                                                | 317/5000 [02:50<3:18:53,  2.55s/it, lr: 1.0e-04 loss: 1.944e-01]
lana-lora-wan2.2:   6%|###3                                                | 318/5000 [02:51<3:17:17,  2.53s/it, lr: 1.0e-04 loss: 3.463e-02]
lana-lora-wan2.2:   6%|###3                                                | 318/5000 [02:51<3:17:17,  2.53s/it, lr: 1.0e-04 loss: 3.463e-02]
lana-lora-wan2.2:   6%|###3                                                | 319/5000 [02:54<3:17:09,  2.53s/it, lr: 1.0e-04 loss: 1.672e-01]
lana-lora-wan2.2:   6%|###3                                                | 319/5000 [02:54<3:17:09,  2.53s/it, lr: 1.0e-04 loss: 1.672e-01]
lana-lora-wan2.2:   6%|###3                                                | 320/5000 [02:55<3:15:39,  2.51s/it, lr: 1.0e-04 loss: 4.507e-02]
lana-lora-wan2.2:   6%|###3                                                | 320/5000 [02:55<3:15:39,  2.51s/it, lr: 1.0e-04 loss: 4.507e-02]
lana-lora-wan2.2:   6%|###3                                                | 321/5000 [02:57<3:15:14,  2.50s/it, lr: 1.0e-04 loss: 3.621e-02]
lana-lora-wan2.2:   6%|###3                                                | 321/5000 [02:57<3:15:14,  2.50s/it, lr: 1.0e-04 loss: 3.621e-02]
lana-lora-wan2.2:   6%|###3                                                | 322/5000 [03:01<3:16:27,  2.52s/it, lr: 1.0e-04 loss: 3.719e-02]
lana-lora-wan2.2:   6%|###3                                                | 322/5000 [03:01<3:16:27,  2.52s/it, lr: 1.0e-04 loss: 3.719e-02]
lana-lora-wan2.2:   6%|###3                                                | 323/5000 [03:05<3:17:38,  2.54s/it, lr: 1.0e-04 loss: 3.198e-02]
lana-lora-wan2.2:   6%|###3                                                | 323/5000 [03:05<3:17:38,  2.54s/it, lr: 1.0e-04 loss: 3.198e-02]
lana-lora-wan2.2:   6%|###3                                                | 324/5000 [03:07<3:17:13,  2.53s/it, lr: 1.0e-04 loss: 7.150e-02]
lana-lora-wan2.2:   6%|###3                                                | 324/5000 [03:07<3:17:13,  2.53s/it, lr: 1.0e-04 loss: 7.150e-02]
lana-lora-wan2.2:   6%|###3                                                | 325/5000 [03:09<3:17:07,  2.53s/it, lr: 1.0e-04 loss: 2.929e-02]
lana-lora-wan2.2:   6%|###3                                                | 325/5000 [03:09<3:17:07,  2.53s/it, lr: 1.0e-04 loss: 2.929e-02]
lana-lora-wan2.2:   7%|###3                                                | 326/5000 [03:10<3:15:42,  2.51s/it, lr: 1.0e-04 loss: 8.536e-02]
lana-lora-wan2.2:   7%|###3                                                | 326/5000 [03:10<3:15:42,  2.51s/it, lr: 1.0e-04 loss: 8.536e-02]
lana-lora-wan2.2:   7%|###4                                                | 327/5000 [03:14<3:16:49,  2.53s/it, lr: 1.0e-04 loss: 2.058e-01]
lana-lora-wan2.2:   7%|###4                                                | 327/5000 [03:14<3:16:49,  2.53s/it, lr: 1.0e-04 loss: 2.058e-01]
lana-lora-wan2.2:   7%|###4                                                | 328/5000 [03:18<3:17:55,  2.54s/it, lr: 1.0e-04 loss: 3.406e-02]
lana-lora-wan2.2:   7%|###4                                                | 328/5000 [03:18<3:17:55,  2.54s/it, lr: 1.0e-04 loss: 3.406e-02]
lana-lora-wan2.2:   7%|###4                                                | 329/5000 [03:20<3:17:32,  2.54s/it, lr: 1.0e-04 loss: 7.507e-02]
lana-lora-wan2.2:   7%|###4                                                | 329/5000 [03:20<3:17:32,  2.54s/it, lr: 1.0e-04 loss: 7.507e-02]
lana-lora-wan2.2:   7%|###4                                                | 330/5000 [03:22<3:17:24,  2.54s/it, lr: 1.0e-04 loss: 6.266e-02]
lana-lora-wan2.2:   7%|###4                                                | 330/5000 [03:22<3:17:24,  2.54s/it, lr: 1.0e-04 loss: 6.266e-02]
lana-lora-wan2.2:   7%|###4                                                | 331/5000 [03:25<3:17:02,  2.53s/it, lr: 1.0e-04 loss: 1.643e-01]
lana-lora-wan2.2:   7%|###4                                                | 331/5000 [03:25<3:17:02,  2.53s/it, lr: 1.0e-04 loss: 1.643e-01]
lana-lora-wan2.2:   7%|###4                                                | 332/5000 [03:27<3:16:39,  2.53s/it, lr: 1.0e-04 loss: 4.252e-02]
lana-lora-wan2.2:   7%|###4                                                | 332/5000 [03:27<3:16:39,  2.53s/it, lr: 1.0e-04 loss: 4.252e-02]
lana-lora-wan2.2:   7%|###4                                                | 333/5000 [03:28<3:15:21,  2.51s/it, lr: 1.0e-04 loss: 3.576e-02]
lana-lora-wan2.2:   7%|###4                                                | 333/5000 [03:28<3:15:21,  2.51s/it, lr: 1.0e-04 loss: 3.576e-02]
lana-lora-wan2.2:   7%|###4                                                | 334/5000 [03:30<3:15:00,  2.51s/it, lr: 1.0e-04 loss: 1.080e-01]
lana-lora-wan2.2:   7%|###4                                                | 334/5000 [03:30<3:15:00,  2.51s/it, lr: 1.0e-04 loss: 1.080e-01]
lana-lora-wan2.2:   7%|###4                                                | 335/5000 [03:34<3:16:03,  2.52s/it, lr: 1.0e-04 loss: 5.735e-02]
lana-lora-wan2.2:   7%|###4                                                | 335/5000 [03:34<3:16:03,  2.52s/it, lr: 1.0e-04 loss: 5.735e-02]
lana-lora-wan2.2:   7%|###4                                                | 336/5000 [03:38<3:17:16,  2.54s/it, lr: 1.0e-04 loss: 7.845e-02]
lana-lora-wan2.2:   7%|###4                                                | 336/5000 [03:38<3:17:16,  2.54s/it, lr: 1.0e-04 loss: 7.845e-02]
lana-lora-wan2.2:   7%|###5                                                | 337/5000 [03:41<3:18:14,  2.55s/it, lr: 1.0e-04 loss: 4.375e-02]
lana-lora-wan2.2:   7%|###5                                                | 337/5000 [03:41<3:18:14,  2.55s/it, lr: 1.0e-04 loss: 4.375e-02]
lana-lora-wan2.2:   7%|###5                                                | 338/5000 [03:43<3:16:59,  2.54s/it, lr: 1.0e-04 loss: 5.889e-02]
lana-lora-wan2.2:   7%|###5                                                | 338/5000 [03:43<3:16:59,  2.54s/it, lr: 1.0e-04 loss: 5.889e-02]
lana-lora-wan2.2:   7%|###5                                                | 339/5000 [03:44<3:15:47,  2.52s/it, lr: 1.0e-04 loss: 7.350e-02]
lana-lora-wan2.2:   7%|###5                                                | 339/5000 [03:44<3:15:47,  2.52s/it, lr: 1.0e-04 loss: 7.350e-02]
lana-lora-wan2.2:   7%|###5                                                | 340/5000 [03:46<3:15:26,  2.52s/it, lr: 1.0e-04 loss: 2.824e-02]
lana-lora-wan2.2:   7%|###5                                                | 340/5000 [03:46<3:15:26,  2.52s/it, lr: 1.0e-04 loss: 2.824e-02]
lana-lora-wan2.2:   7%|###5                                                | 341/5000 [03:48<3:15:06,  2.51s/it, lr: 1.0e-04 loss: 8.068e-02]
lana-lora-wan2.2:   7%|###5                                                | 341/5000 [03:48<3:15:06,  2.51s/it, lr: 1.0e-04 loss: 8.068e-02]
lana-lora-wan2.2:   7%|###5                                                | 342/5000 [03:52<3:16:15,  2.53s/it, lr: 1.0e-04 loss: 2.831e-02]
lana-lora-wan2.2:   7%|###5                                                | 342/5000 [03:52<3:16:15,  2.53s/it, lr: 1.0e-04 loss: 2.831e-02]
lana-lora-wan2.2:   7%|###5                                                | 343/5000 [03:53<3:15:05,  2.51s/it, lr: 1.0e-04 loss: 2.774e-01]
lana-lora-wan2.2:   7%|###5                                                | 343/5000 [03:53<3:15:05,  2.51s/it, lr: 1.0e-04 loss: 2.774e-01]
lana-lora-wan2.2:   7%|###5                                                | 344/5000 [03:55<3:14:46,  2.51s/it, lr: 1.0e-04 loss: 3.866e-02]
lana-lora-wan2.2:   7%|###5                                                | 344/5000 [03:55<3:14:46,  2.51s/it, lr: 1.0e-04 loss: 3.866e-02]
lana-lora-wan2.2:   7%|###5                                                | 345/5000 [03:59<3:15:40,  2.52s/it, lr: 1.0e-04 loss: 3.491e-02]
lana-lora-wan2.2:   7%|###5                                                | 345/5000 [03:59<3:15:40,  2.52s/it, lr: 1.0e-04 loss: 3.491e-02]
lana-lora-wan2.2:   7%|###5                                                | 346/5000 [04:00<3:14:32,  2.51s/it, lr: 1.0e-04 loss: 8.267e-02]
lana-lora-wan2.2:   7%|###5                                                | 346/5000 [04:00<3:14:32,  2.51s/it, lr: 1.0e-04 loss: 8.267e-02]
lana-lora-wan2.2:   7%|###6                                                | 347/5000 [04:04<3:15:24,  2.52s/it, lr: 1.0e-04 loss: 2.628e-02]
lana-lora-wan2.2:   7%|###6                                                | 347/5000 [04:04<3:15:24,  2.52s/it, lr: 1.0e-04 loss: 2.628e-02]
lana-lora-wan2.2:   7%|###6                                                | 348/5000 [04:05<3:14:36,  2.51s/it, lr: 1.0e-04 loss: 5.632e-02]
lana-lora-wan2.2:   7%|###6                                                | 348/5000 [04:05<3:14:36,  2.51s/it, lr: 1.0e-04 loss: 5.632e-02]
lana-lora-wan2.2:   7%|###6                                                | 349/5000 [04:07<3:13:32,  2.50s/it, lr: 1.0e-04 loss: 3.466e-02]
lana-lora-wan2.2:   7%|###6                                                | 349/5000 [04:07<3:13:32,  2.50s/it, lr: 1.0e-04 loss: 3.466e-02]
lana-lora-wan2.2:   7%|###6                                                | 350/5000 [04:08<3:12:28,  2.48s/it, lr: 1.0e-04 loss: 1.313e-01]
lana-lora-wan2.2:   7%|###6                                                | 350/5000 [04:08<3:12:28,  2.48s/it, lr: 1.0e-04 loss: 1.313e-01]
lana-lora-wan2.2:   7%|###6                                                | 351/5000 [04:12<3:13:20,  2.50s/it, lr: 1.0e-04 loss: 3.647e-02]
lana-lora-wan2.2:   7%|###6                                                | 351/5000 [04:12<3:13:20,  2.50s/it, lr: 1.0e-04 loss: 3.647e-02]
lana-lora-wan2.2:   7%|###6                                                | 352/5000 [04:14<3:13:03,  2.49s/it, lr: 1.0e-04 loss: 2.204e-01]
lana-lora-wan2.2:   7%|###6                                                | 352/5000 [04:14<3:13:03,  2.49s/it, lr: 1.0e-04 loss: 2.204e-01]
lana-lora-wan2.2:   7%|###6                                                | 353/5000 [04:17<3:13:53,  2.50s/it, lr: 1.0e-04 loss: 1.624e-01]
lana-lora-wan2.2:   7%|###6                                                | 353/5000 [04:17<3:13:53,  2.50s/it, lr: 1.0e-04 loss: 1.624e-01]
lana-lora-wan2.2:   7%|###6                                                | 354/5000 [04:21<3:14:54,  2.52s/it, lr: 1.0e-04 loss: 4.040e-02]
lana-lora-wan2.2:   7%|###6                                                | 354/5000 [04:21<3:14:54,  2.52s/it, lr: 1.0e-04 loss: 4.040e-02]
lana-lora-wan2.2:   7%|###6                                                | 355/5000 [04:22<3:13:53,  2.50s/it, lr: 1.0e-04 loss: 4.060e-02]
lana-lora-wan2.2:   7%|###6                                                | 355/5000 [04:22<3:13:53,  2.50s/it, lr: 1.0e-04 loss: 4.060e-02]
lana-lora-wan2.2:   7%|###7                                                | 356/5000 [04:26<3:14:41,  2.52s/it, lr: 1.0e-04 loss: 3.180e-02]
lana-lora-wan2.2:   7%|###7                                                | 356/5000 [04:26<3:14:41,  2.52s/it, lr: 1.0e-04 loss: 3.180e-02]
lana-lora-wan2.2:   7%|###7                                                | 357/5000 [04:30<3:15:28,  2.53s/it, lr: 1.0e-04 loss: 3.003e-02]
lana-lora-wan2.2:   7%|###7                                                | 357/5000 [04:30<3:15:28,  2.53s/it, lr: 1.0e-04 loss: 3.003e-02]
lana-lora-wan2.2:   7%|###7                                                | 358/5000 [04:32<3:15:10,  2.52s/it, lr: 1.0e-04 loss: 1.409e-01]
lana-lora-wan2.2:   7%|###7                                                | 358/5000 [04:32<3:15:10,  2.52s/it, lr: 1.0e-04 loss: 1.409e-01]
lana-lora-wan2.2:   7%|###7                                                | 359/5000 [04:33<3:14:10,  2.51s/it, lr: 1.0e-04 loss: 6.772e-02]
lana-lora-wan2.2:   7%|###7                                                | 359/5000 [04:33<3:14:10,  2.51s/it, lr: 1.0e-04 loss: 6.772e-02]
lana-lora-wan2.2:   7%|###7                                                | 360/5000 [04:37<3:15:07,  2.52s/it, lr: 1.0e-04 loss: 5.865e-02]
lana-lora-wan2.2:   7%|###7                                                | 360/5000 [04:37<3:15:07,  2.52s/it, lr: 1.0e-04 loss: 5.865e-02]
lana-lora-wan2.2:   7%|###7                                                | 361/5000 [04:38<3:14:08,  2.51s/it, lr: 1.0e-04 loss: 3.139e-02]
lana-lora-wan2.2:   7%|###7                                                | 361/5000 [04:38<3:14:08,  2.51s/it, lr: 1.0e-04 loss: 3.139e-02]
lana-lora-wan2.2:   7%|###7                                                | 362/5000 [04:40<3:13:51,  2.51s/it, lr: 1.0e-04 loss: 1.011e-01]
lana-lora-wan2.2:   7%|###7                                                | 362/5000 [04:40<3:13:51,  2.51s/it, lr: 1.0e-04 loss: 1.011e-01]
lana-lora-wan2.2:   7%|###7                                                | 363/5000 [04:42<3:12:54,  2.50s/it, lr: 1.0e-04 loss: 8.788e-02]
lana-lora-wan2.2:   7%|###7                                                | 363/5000 [04:42<3:12:54,  2.50s/it, lr: 1.0e-04 loss: 8.788e-02]
lana-lora-wan2.2:   7%|###7                                                | 364/5000 [04:43<3:11:58,  2.48s/it, lr: 1.0e-04 loss: 4.179e-02]
lana-lora-wan2.2:   7%|###7                                                | 364/5000 [04:43<3:11:58,  2.48s/it, lr: 1.0e-04 loss: 4.179e-02]
lana-lora-wan2.2:   7%|###7                                                | 365/5000 [04:47<3:12:56,  2.50s/it, lr: 1.0e-04 loss: 3.144e-02]
lana-lora-wan2.2:   7%|###7                                                | 365/5000 [04:47<3:12:56,  2.50s/it, lr: 1.0e-04 loss: 3.144e-02]
lana-lora-wan2.2:   7%|###8                                                | 366/5000 [04:49<3:12:41,  2.49s/it, lr: 1.0e-04 loss: 6.236e-02]
lana-lora-wan2.2:   7%|###8                                                | 366/5000 [04:49<3:12:41,  2.49s/it, lr: 1.0e-04 loss: 6.236e-02]
lana-lora-wan2.2:   7%|###8                                                | 367/5000 [04:53<3:13:24,  2.50s/it, lr: 1.0e-04 loss: 6.587e-02]
lana-lora-wan2.2:   7%|###8                                                | 367/5000 [04:53<3:13:24,  2.50s/it, lr: 1.0e-04 loss: 6.587e-02]
lana-lora-wan2.2:   7%|###8                                                | 368/5000 [04:54<3:12:30,  2.49s/it, lr: 1.0e-04 loss: 7.701e-02]
lana-lora-wan2.2:   7%|###8                                                | 368/5000 [04:54<3:12:30,  2.49s/it, lr: 1.0e-04 loss: 7.701e-02]
lana-lora-wan2.2:   7%|###8                                                | 369/5000 [04:56<3:12:15,  2.49s/it, lr: 1.0e-04 loss: 8.873e-02]
lana-lora-wan2.2:   7%|###8                                                | 369/5000 [04:56<3:12:15,  2.49s/it, lr: 1.0e-04 loss: 8.873e-02]
lana-lora-wan2.2:   7%|###8                                                | 370/5000 [05:00<3:12:57,  2.50s/it, lr: 1.0e-04 loss: 6.886e-02]
lana-lora-wan2.2:   7%|###8                                                | 370/5000 [05:00<3:12:57,  2.50s/it, lr: 1.0e-04 loss: 6.886e-02]
lana-lora-wan2.2:   7%|###8                                                | 371/5000 [05:01<3:12:19,  2.49s/it, lr: 1.0e-04 loss: 1.441e-01]
lana-lora-wan2.2:   7%|###8                                                | 371/5000 [05:01<3:12:19,  2.49s/it, lr: 1.0e-04 loss: 1.441e-01]
lana-lora-wan2.2:   7%|###8                                                | 372/5000 [05:03<3:12:04,  2.49s/it, lr: 1.0e-04 loss: 3.109e-02]
lana-lora-wan2.2:   7%|###8                                                | 372/5000 [05:03<3:12:04,  2.49s/it, lr: 1.0e-04 loss: 3.109e-02]
lana-lora-wan2.2:   7%|###8                                                | 373/5000 [05:07<3:12:46,  2.50s/it, lr: 1.0e-04 loss: 3.724e-01]
lana-lora-wan2.2:   7%|###8                                                | 373/5000 [05:07<3:12:46,  2.50s/it, lr: 1.0e-04 loss: 3.724e-01]
lana-lora-wan2.2:   7%|###8                                                | 374/5000 [05:09<3:12:31,  2.50s/it, lr: 1.0e-04 loss: 1.633e-01]
lana-lora-wan2.2:   7%|###8                                                | 374/5000 [05:09<3:12:31,  2.50s/it, lr: 1.0e-04 loss: 1.633e-01]
lana-lora-wan2.2:   8%|###9                                                | 375/5000 [05:13<3:13:12,  2.51s/it, lr: 1.0e-04 loss: 7.030e-02]
lana-lora-wan2.2:   8%|###9                                                | 375/5000 [05:13<3:13:12,  2.51s/it, lr: 1.0e-04 loss: 7.030e-02]
lana-lora-wan2.2:   8%|###9                                                | 376/5000 [05:16<3:13:52,  2.52s/it, lr: 1.0e-04 loss: 7.185e-02]
lana-lora-wan2.2:   8%|###9                                                | 376/5000 [05:16<3:13:52,  2.52s/it, lr: 1.0e-04 loss: 7.185e-02]
lana-lora-wan2.2:   8%|###9                                                | 377/5000 [05:20<3:14:41,  2.53s/it, lr: 1.0e-04 loss: 2.368e-02]
lana-lora-wan2.2:   8%|###9                                                | 377/5000 [05:20<3:14:41,  2.53s/it, lr: 1.0e-04 loss: 2.368e-02]
lana-lora-wan2.2:   8%|###9                                                | 378/5000 [05:23<3:14:26,  2.52s/it, lr: 1.0e-04 loss: 2.034e-01]
lana-lora-wan2.2:   8%|###9                                                | 378/5000 [05:23<3:14:26,  2.52s/it, lr: 1.0e-04 loss: 2.034e-01]
lana-lora-wan2.2:   8%|###9                                                | 379/5000 [05:24<3:13:35,  2.51s/it, lr: 1.0e-04 loss: 1.105e-01]
lana-lora-wan2.2:   8%|###9                                                | 379/5000 [05:24<3:13:35,  2.51s/it, lr: 1.0e-04 loss: 1.105e-01]
lana-lora-wan2.2:   8%|###9                                                | 380/5000 [05:26<3:13:21,  2.51s/it, lr: 1.0e-04 loss: 6.976e-02]
lana-lora-wan2.2:   8%|###9                                                | 380/5000 [05:26<3:13:21,  2.51s/it, lr: 1.0e-04 loss: 6.976e-02]
lana-lora-wan2.2:   8%|###9                                                | 381/5000 [05:27<3:12:32,  2.50s/it, lr: 1.0e-04 loss: 6.960e-02]
lana-lora-wan2.2:   8%|###9                                                | 381/5000 [05:27<3:12:32,  2.50s/it, lr: 1.0e-04 loss: 6.960e-02]
lana-lora-wan2.2:   8%|###9                                                | 382/5000 [05:31<3:13:09,  2.51s/it, lr: 1.0e-04 loss: 2.548e-02]
lana-lora-wan2.2:   8%|###9                                                | 382/5000 [05:31<3:13:09,  2.51s/it, lr: 1.0e-04 loss: 2.548e-02]
lana-lora-wan2.2:   8%|###9                                                | 383/5000 [05:33<3:13:05,  2.51s/it, lr: 1.0e-04 loss: 3.557e-02]
lana-lora-wan2.2:   8%|###9                                                | 383/5000 [05:33<3:13:05,  2.51s/it, lr: 1.0e-04 loss: 3.557e-02]
lana-lora-wan2.2:   8%|###9                                                | 384/5000 [05:35<3:12:52,  2.51s/it, lr: 1.0e-04 loss: 1.981e-01]
lana-lora-wan2.2:   8%|###9                                                | 384/5000 [05:35<3:12:52,  2.51s/it, lr: 1.0e-04 loss: 1.981e-01]
lana-lora-wan2.2:   8%|####                                                | 385/5000 [05:37<3:12:04,  2.50s/it, lr: 1.0e-04 loss: 4.069e-02]
lana-lora-wan2.2:   8%|####                                                | 385/5000 [05:37<3:12:04,  2.50s/it, lr: 1.0e-04 loss: 4.069e-02]
lana-lora-wan2.2:   8%|####                                                | 386/5000 [05:39<3:11:51,  2.49s/it, lr: 1.0e-04 loss: 4.028e-02]
lana-lora-wan2.2:   8%|####                                                | 386/5000 [05:39<3:11:51,  2.49s/it, lr: 1.0e-04 loss: 4.028e-02]
lana-lora-wan2.2:   8%|####                                                | 387/5000 [05:41<3:11:38,  2.49s/it, lr: 1.0e-04 loss: 5.965e-02]
lana-lora-wan2.2:   8%|####                                                | 387/5000 [05:41<3:11:38,  2.49s/it, lr: 1.0e-04 loss: 5.965e-02]
lana-lora-wan2.2:   8%|####                                                | 388/5000 [05:43<3:11:25,  2.49s/it, lr: 1.0e-04 loss: 4.479e-02]
lana-lora-wan2.2:   8%|####                                                | 388/5000 [05:43<3:11:25,  2.49s/it, lr: 1.0e-04 loss: 4.479e-02]
lana-lora-wan2.2:   8%|####                                                | 389/5000 [05:46<3:11:21,  2.49s/it, lr: 1.0e-04 loss: 6.474e-02]
lana-lora-wan2.2:   8%|####                                                | 389/5000 [05:46<3:11:21,  2.49s/it, lr: 1.0e-04 loss: 6.474e-02]
lana-lora-wan2.2:   8%|####                                                | 390/5000 [05:47<3:10:36,  2.48s/it, lr: 1.0e-04 loss: 4.118e-02]
lana-lora-wan2.2:   8%|####                                                | 390/5000 [05:47<3:10:36,  2.48s/it, lr: 1.0e-04 loss: 4.118e-02]
lana-lora-wan2.2:   8%|####                                                | 391/5000 [05:49<3:10:24,  2.48s/it, lr: 1.0e-04 loss: 3.709e-02]
lana-lora-wan2.2:   8%|####                                                | 391/5000 [05:49<3:10:24,  2.48s/it, lr: 1.0e-04 loss: 3.709e-02]
lana-lora-wan2.2:   8%|####                                                | 392/5000 [05:50<3:09:39,  2.47s/it, lr: 1.0e-04 loss: 5.849e-02]
lana-lora-wan2.2:   8%|####                                                | 392/5000 [05:50<3:09:39,  2.47s/it, lr: 1.0e-04 loss: 5.849e-02]
lana-lora-wan2.2:   8%|####                                                | 393/5000 [05:52<3:09:27,  2.47s/it, lr: 1.0e-04 loss: 5.374e-02]
lana-lora-wan2.2:   8%|####                                                | 393/5000 [05:52<3:09:27,  2.47s/it, lr: 1.0e-04 loss: 5.374e-02]
lana-lora-wan2.2:   8%|####                                                | 394/5000 [05:56<3:10:12,  2.48s/it, lr: 1.0e-04 loss: 7.425e-02]
lana-lora-wan2.2:   8%|####                                                | 394/5000 [05:56<3:10:12,  2.48s/it, lr: 1.0e-04 loss: 7.425e-02]
lana-lora-wan2.2:   8%|####1                                               | 395/5000 [05:58<3:09:59,  2.48s/it, lr: 1.0e-04 loss: 2.637e-01]
lana-lora-wan2.2:   8%|####1                                               | 395/5000 [05:58<3:09:59,  2.48s/it, lr: 1.0e-04 loss: 2.637e-01]
lana-lora-wan2.2:   8%|####1                                               | 396/5000 [06:00<3:09:16,  2.47s/it, lr: 1.0e-04 loss: 1.242e-01]
lana-lora-wan2.2:   8%|####1                                               | 396/5000 [06:00<3:09:16,  2.47s/it, lr: 1.0e-04 loss: 1.242e-01]
lana-lora-wan2.2:   8%|####1                                               | 397/5000 [06:01<3:08:33,  2.46s/it, lr: 1.0e-04 loss: 4.880e-02]
lana-lora-wan2.2:   8%|####1                                               | 397/5000 [06:01<3:08:33,  2.46s/it, lr: 1.0e-04 loss: 4.880e-02]
lana-lora-wan2.2:   8%|####1                                               | 398/5000 [06:02<3:07:51,  2.45s/it, lr: 1.0e-04 loss: 4.204e-02]
lana-lora-wan2.2:   8%|####1                                               | 398/5000 [06:02<3:07:51,  2.45s/it, lr: 1.0e-04 loss: 4.204e-02]
lana-lora-wan2.2:   8%|####1                                               | 399/5000 [06:03<3:07:10,  2.44s/it, lr: 1.0e-04 loss: 5.576e-02]
lana-lora-wan2.2:   8%|####1                                               | 399/5000 [06:03<3:07:10,  2.44s/it, lr: 1.0e-04 loss: 5.576e-02]
lana-lora-wan2.2:   8%|####1                                               | 400/5000 [06:07<3:07:54,  2.45s/it, lr: 1.0e-04 loss: 6.434e-02]
lana-lora-wan2.2:   8%|####1                                               | 400/5000 [06:07<3:07:54,  2.45s/it, lr: 1.0e-04 loss: 6.434e-02]
lana-lora-wan2.2:   8%|####1                                               | 401/5000 [06:09<3:07:43,  2.45s/it, lr: 1.0e-04 loss: 4.582e-02]
lana-lora-wan2.2:   8%|####1                                               | 401/5000 [06:09<3:07:43,  2.45s/it, lr: 1.0e-04 loss: 4.582e-02]
lana-lora-wan2.2:   8%|####1                                               | 402/5000 [06:13<3:08:18,  2.46s/it, lr: 1.0e-04 loss: 7.673e-02]
lana-lora-wan2.2:   8%|####1                                               | 402/5000 [06:13<3:08:18,  2.46s/it, lr: 1.0e-04 loss: 7.673e-02]
lana-lora-wan2.2:   8%|####1                                               | 403/5000 [06:14<3:07:37,  2.45s/it, lr: 1.0e-04 loss: 5.556e-02]
lana-lora-wan2.2:   8%|####1                                               | 403/5000 [06:14<3:07:37,  2.45s/it, lr: 1.0e-04 loss: 5.556e-02]
lana-lora-wan2.2:   8%|####2                                               | 404/5000 [06:16<3:07:27,  2.45s/it, lr: 1.0e-04 loss: 2.685e-01]
lana-lora-wan2.2:   8%|####2                                               | 404/5000 [06:16<3:07:27,  2.45s/it, lr: 1.0e-04 loss: 2.685e-01]
lana-lora-wan2.2:   8%|####2                                               | 405/5000 [06:18<3:06:47,  2.44s/it, lr: 1.0e-04 loss: 7.116e-02]
lana-lora-wan2.2:   8%|####2                                               | 405/5000 [06:18<3:06:47,  2.44s/it, lr: 1.0e-04 loss: 7.116e-02]
lana-lora-wan2.2:   8%|####2                                               | 406/5000 [06:20<3:06:45,  2.44s/it, lr: 1.0e-04 loss: 4.470e-02]
lana-lora-wan2.2:   8%|####2                                               | 406/5000 [06:20<3:06:45,  2.44s/it, lr: 1.0e-04 loss: 4.470e-02]
lana-lora-wan2.2:   8%|####2                                               | 407/5000 [06:21<3:06:06,  2.43s/it, lr: 1.0e-04 loss: 4.527e-02]
lana-lora-wan2.2:   8%|####2                                               | 407/5000 [06:21<3:06:06,  2.43s/it, lr: 1.0e-04 loss: 4.527e-02]
lana-lora-wan2.2:   8%|####2                                               | 408/5000 [06:23<3:05:57,  2.43s/it, lr: 1.0e-04 loss: 3.018e-01]
lana-lora-wan2.2:   8%|####2                                               | 408/5000 [06:23<3:05:57,  2.43s/it, lr: 1.0e-04 loss: 3.018e-01]
lana-lora-wan2.2:   8%|####2                                               | 409/5000 [06:26<3:05:48,  2.43s/it, lr: 1.0e-04 loss: 3.725e-02]
lana-lora-wan2.2:   8%|####2                                               | 409/5000 [06:26<3:05:48,  2.43s/it, lr: 1.0e-04 loss: 3.725e-02]
lana-lora-wan2.2:   8%|####2                                               | 410/5000 [06:29<3:06:21,  2.44s/it, lr: 1.0e-04 loss: 1.382e-01]
lana-lora-wan2.2:   8%|####2                                               | 410/5000 [06:29<3:06:21,  2.44s/it, lr: 1.0e-04 loss: 1.382e-01]
lana-lora-wan2.2:   8%|####2                                               | 411/5000 [06:33<3:06:54,  2.44s/it, lr: 1.0e-04 loss: 5.161e-02]
lana-lora-wan2.2:   8%|####2                                               | 411/5000 [06:33<3:06:54,  2.44s/it, lr: 1.0e-04 loss: 5.161e-02]
lana-lora-wan2.2:   8%|####2                                               | 412/5000 [06:34<3:06:24,  2.44s/it, lr: 1.0e-04 loss: 8.173e-02]
lana-lora-wan2.2:   8%|####2                                               | 412/5000 [06:34<3:06:24,  2.44s/it, lr: 1.0e-04 loss: 8.173e-02]
lana-lora-wan2.2:   8%|####2                                               | 413/5000 [06:36<3:05:47,  2.43s/it, lr: 1.0e-04 loss: 7.660e-02]
lana-lora-wan2.2:   8%|####2                                               | 413/5000 [06:36<3:05:47,  2.43s/it, lr: 1.0e-04 loss: 7.660e-02]
lana-lora-wan2.2:   8%|####3                                               | 414/5000 [06:37<3:05:10,  2.42s/it, lr: 1.0e-04 loss: 6.957e-02]
lana-lora-wan2.2:   8%|####3                                               | 414/5000 [06:37<3:05:10,  2.42s/it, lr: 1.0e-04 loss: 6.957e-02]
lana-lora-wan2.2:   8%|####3                                               | 415/5000 [06:40<3:05:42,  2.43s/it, lr: 1.0e-04 loss: 5.552e-02]
lana-lora-wan2.2:   8%|####3                                               | 415/5000 [06:40<3:05:42,  2.43s/it, lr: 1.0e-04 loss: 5.552e-02]
lana-lora-wan2.2:   8%|####3                                               | 416/5000 [06:44<3:06:13,  2.44s/it, lr: 1.0e-04 loss: 4.332e-02]
lana-lora-wan2.2:   8%|####3                                               | 416/5000 [06:44<3:06:13,  2.44s/it, lr: 1.0e-04 loss: 4.332e-02]
lana-lora-wan2.2:   8%|####3                                               | 417/5000 [06:48<3:06:44,  2.44s/it, lr: 1.0e-04 loss: 6.664e-02]
lana-lora-wan2.2:   8%|####3                                               | 417/5000 [06:48<3:06:44,  2.44s/it, lr: 1.0e-04 loss: 6.664e-02]
lana-lora-wan2.2:   8%|####3                                               | 418/5000 [06:49<3:06:17,  2.44s/it, lr: 1.0e-04 loss: 6.365e-02]
lana-lora-wan2.2:   8%|####3                                               | 418/5000 [06:49<3:06:17,  2.44s/it, lr: 1.0e-04 loss: 6.365e-02]
lana-lora-wan2.2:   8%|####3                                               | 419/5000 [06:50<3:05:40,  2.43s/it, lr: 1.0e-04 loss: 7.167e-02]
lana-lora-wan2.2:   8%|####3                                               | 419/5000 [06:50<3:05:40,  2.43s/it, lr: 1.0e-04 loss: 7.167e-02]
lana-lora-wan2.2:   8%|####3                                               | 420/5000 [06:52<3:05:04,  2.42s/it, lr: 1.0e-04 loss: 2.360e-01]
lana-lora-wan2.2:   8%|####3                                               | 420/5000 [06:52<3:05:04,  2.42s/it, lr: 1.0e-04 loss: 2.360e-01]
lana-lora-wan2.2:   8%|####3                                               | 421/5000 [06:55<3:05:35,  2.43s/it, lr: 1.0e-04 loss: 5.811e-02]
lana-lora-wan2.2:   8%|####3                                               | 421/5000 [06:55<3:05:35,  2.43s/it, lr: 1.0e-04 loss: 5.811e-02]
lana-lora-wan2.2:   8%|####3                                               | 422/5000 [06:59<3:06:05,  2.44s/it, lr: 1.0e-04 loss: 9.248e-02]
lana-lora-wan2.2:   8%|####3                                               | 422/5000 [06:59<3:06:05,  2.44s/it, lr: 1.0e-04 loss: 9.248e-02]
lana-lora-wan2.2:   8%|####3                                               | 423/5000 [07:01<3:06:04,  2.44s/it, lr: 1.0e-04 loss: 7.027e-02]
lana-lora-wan2.2:   8%|####3                                               | 423/5000 [07:01<3:06:04,  2.44s/it, lr: 1.0e-04 loss: 7.027e-02]
lana-lora-wan2.2:   8%|####4                                               | 424/5000 [07:04<3:05:54,  2.44s/it, lr: 1.0e-04 loss: 1.388e-01]
lana-lora-wan2.2:   8%|####4                                               | 424/5000 [07:04<3:05:54,  2.44s/it, lr: 1.0e-04 loss: 1.388e-01]
lana-lora-wan2.2:   8%|####4                                               | 425/5000 [07:06<3:05:45,  2.44s/it, lr: 1.0e-04 loss: 5.904e-02]
lana-lora-wan2.2:   8%|####4                                               | 425/5000 [07:06<3:05:45,  2.44s/it, lr: 1.0e-04 loss: 5.904e-02]
lana-lora-wan2.2:   9%|####4                                               | 426/5000 [07:07<3:05:10,  2.43s/it, lr: 1.0e-04 loss: 5.342e-02]
lana-lora-wan2.2:   9%|####4                                               | 426/5000 [07:07<3:05:10,  2.43s/it, lr: 1.0e-04 loss: 5.342e-02]
lana-lora-wan2.2:   9%|####4                                               | 427/5000 [07:08<3:04:36,  2.42s/it, lr: 1.0e-04 loss: 8.439e-02]
lana-lora-wan2.2:   9%|####4                                               | 427/5000 [07:08<3:04:36,  2.42s/it, lr: 1.0e-04 loss: 8.439e-02]
lana-lora-wan2.2:   9%|####4                                               | 428/5000 [07:09<3:04:02,  2.42s/it, lr: 1.0e-04 loss: 3.080e-02]
lana-lora-wan2.2:   9%|####4                                               | 428/5000 [07:09<3:04:02,  2.42s/it, lr: 1.0e-04 loss: 3.080e-02]
lana-lora-wan2.2:   9%|####4                                               | 429/5000 [07:11<3:03:38,  2.41s/it, lr: 1.0e-04 loss: 4.971e-02]
lana-lora-wan2.2:   9%|####4                                               | 429/5000 [07:11<3:03:38,  2.41s/it, lr: 1.0e-04 loss: 4.971e-02]
lana-lora-wan2.2:   9%|####4                                               | 430/5000 [07:15<3:04:07,  2.42s/it, lr: 1.0e-04 loss: 1.978e-02]
lana-lora-wan2.2:   9%|####4                                               | 430/5000 [07:15<3:04:07,  2.42s/it, lr: 1.0e-04 loss: 1.978e-02]
lana-lora-wan2.2:   9%|####4                                               | 431/5000 [07:18<3:04:36,  2.42s/it, lr: 1.0e-04 loss: 6.386e-02]
lana-lora-wan2.2:   9%|####4                                               | 431/5000 [07:18<3:04:36,  2.42s/it, lr: 1.0e-04 loss: 6.386e-02]
lana-lora-wan2.2:   9%|####4                                               | 432/5000 [07:20<3:04:27,  2.42s/it, lr: 1.0e-04 loss: 6.934e-02]
lana-lora-wan2.2:   9%|####4                                               | 432/5000 [07:20<3:04:27,  2.42s/it, lr: 1.0e-04 loss: 6.934e-02]
lana-lora-wan2.2:   9%|####5                                               | 433/5000 [07:24<3:04:56,  2.43s/it, lr: 1.0e-04 loss: 4.762e-02]
lana-lora-wan2.2:   9%|####5                                               | 433/5000 [07:24<3:04:56,  2.43s/it, lr: 1.0e-04 loss: 4.762e-02]
lana-lora-wan2.2:   9%|####5                                               | 434/5000 [07:26<3:04:47,  2.43s/it, lr: 1.0e-04 loss: 3.164e-02]
lana-lora-wan2.2:   9%|####5                                               | 434/5000 [07:26<3:04:47,  2.43s/it, lr: 1.0e-04 loss: 3.164e-02]
lana-lora-wan2.2:   9%|####5                                               | 435/5000 [07:28<3:04:22,  2.42s/it, lr: 1.0e-04 loss: 4.287e-02]
lana-lora-wan2.2:   9%|####5                                               | 435/5000 [07:28<3:04:22,  2.42s/it, lr: 1.0e-04 loss: 4.287e-02]
lana-lora-wan2.2:   9%|####5                                               | 436/5000 [07:30<3:04:14,  2.42s/it, lr: 1.0e-04 loss: 8.674e-02]
lana-lora-wan2.2:   9%|####5                                               | 436/5000 [07:30<3:04:14,  2.42s/it, lr: 1.0e-04 loss: 8.674e-02]
lana-lora-wan2.2:   9%|####5                                               | 437/5000 [07:34<3:04:42,  2.43s/it, lr: 1.0e-04 loss: 8.480e-02]
lana-lora-wan2.2:   9%|####5                                               | 437/5000 [07:34<3:04:42,  2.43s/it, lr: 1.0e-04 loss: 8.480e-02]
lana-lora-wan2.2:   9%|####5                                               | 438/5000 [07:35<3:04:09,  2.42s/it, lr: 1.0e-04 loss: 1.399e-01]
lana-lora-wan2.2:   9%|####5                                               | 438/5000 [07:35<3:04:09,  2.42s/it, lr: 1.0e-04 loss: 1.399e-01]
lana-lora-wan2.2:   9%|####5                                               | 439/5000 [07:39<3:04:38,  2.43s/it, lr: 1.0e-04 loss: 4.081e-02]
lana-lora-wan2.2:   9%|####5                                               | 439/5000 [07:39<3:04:38,  2.43s/it, lr: 1.0e-04 loss: 4.081e-02]
lana-lora-wan2.2:   9%|####5                                               | 440/5000 [07:42<3:05:11,  2.44s/it, lr: 1.0e-04 loss: 3.716e-02]
lana-lora-wan2.2:   9%|####5                                               | 440/5000 [07:42<3:05:11,  2.44s/it, lr: 1.0e-04 loss: 3.716e-02]
lana-lora-wan2.2:   9%|####5                                               | 441/5000 [07:45<3:05:03,  2.44s/it, lr: 1.0e-04 loss: 6.229e-02]
lana-lora-wan2.2:   9%|####5                                               | 441/5000 [07:45<3:05:03,  2.44s/it, lr: 1.0e-04 loss: 6.229e-02]
lana-lora-wan2.2:   9%|####5                                               | 442/5000 [07:46<3:04:31,  2.43s/it, lr: 1.0e-04 loss: 7.461e-02]
lana-lora-wan2.2:   9%|####5                                               | 442/5000 [07:46<3:04:31,  2.43s/it, lr: 1.0e-04 loss: 7.461e-02]
lana-lora-wan2.2:   9%|####6                                               | 443/5000 [07:48<3:04:22,  2.43s/it, lr: 1.0e-04 loss: 2.647e-01]
lana-lora-wan2.2:   9%|####6                                               | 443/5000 [07:48<3:04:22,  2.43s/it, lr: 1.0e-04 loss: 2.647e-01]
lana-lora-wan2.2:   9%|####6                                               | 444/5000 [07:49<3:03:51,  2.42s/it, lr: 1.0e-04 loss: 5.557e-02]
lana-lora-wan2.2:   9%|####6                                               | 444/5000 [07:49<3:03:51,  2.42s/it, lr: 1.0e-04 loss: 5.557e-02]
lana-lora-wan2.2:   9%|####6                                               | 445/5000 [07:50<3:03:20,  2.41s/it, lr: 1.0e-04 loss: 4.595e-02]
lana-lora-wan2.2:   9%|####6                                               | 445/5000 [07:50<3:03:20,  2.41s/it, lr: 1.0e-04 loss: 4.595e-02]
lana-lora-wan2.2:   9%|####6                                               | 446/5000 [07:52<3:02:58,  2.41s/it, lr: 1.0e-04 loss: 7.474e-02]
lana-lora-wan2.2:   9%|####6                                               | 446/5000 [07:52<3:02:58,  2.41s/it, lr: 1.0e-04 loss: 7.474e-02]
lana-lora-wan2.2:   9%|####6                                               | 447/5000 [07:56<3:03:25,  2.42s/it, lr: 1.0e-04 loss: 3.131e-02]
lana-lora-wan2.2:   9%|####6                                               | 447/5000 [07:56<3:03:25,  2.42s/it, lr: 1.0e-04 loss: 3.131e-02]
lana-lora-wan2.2:   9%|####6                                               | 448/5000 [07:58<3:03:16,  2.42s/it, lr: 1.0e-04 loss: 5.225e-02]
lana-lora-wan2.2:   9%|####6                                               | 448/5000 [07:58<3:03:16,  2.42s/it, lr: 1.0e-04 loss: 5.225e-02]
lana-lora-wan2.2:   9%|####6                                               | 449/5000 [08:00<3:03:09,  2.41s/it, lr: 1.0e-04 loss: 8.512e-02]
lana-lora-wan2.2:   9%|####6                                               | 449/5000 [08:00<3:03:09,  2.41s/it, lr: 1.0e-04 loss: 8.512e-02]
lana-lora-wan2.2:   9%|####6                                               | 450/5000 [08:04<3:03:34,  2.42s/it, lr: 1.0e-04 loss: 2.894e-02]
lana-lora-wan2.2:   9%|####6                                               | 450/5000 [08:04<3:03:34,  2.42s/it, lr: 1.0e-04 loss: 2.894e-02]
lana-lora-wan2.2:   9%|####6                                               | 451/5000 [08:07<3:04:00,  2.43s/it, lr: 1.0e-04 loss: 3.507e-02]
lana-lora-wan2.2:   9%|####6                                               | 451/5000 [08:07<3:04:00,  2.43s/it, lr: 1.0e-04 loss: 3.507e-02]
lana-lora-wan2.2:   9%|####7                                               | 452/5000 [08:11<3:04:32,  2.43s/it, lr: 1.0e-04 loss: 1.299e-01]
lana-lora-wan2.2:   9%|####7                                               | 452/5000 [08:11<3:04:32,  2.43s/it, lr: 1.0e-04 loss: 1.299e-01]
lana-lora-wan2.2:   9%|####7                                               | 453/5000 [08:13<3:04:24,  2.43s/it, lr: 1.0e-04 loss: 1.339e-01]
lana-lora-wan2.2:   9%|####7                                               | 453/5000 [08:13<3:04:24,  2.43s/it, lr: 1.0e-04 loss: 1.339e-01]
lana-lora-wan2.2:   9%|####7                                               | 454/5000 [08:16<3:04:16,  2.43s/it, lr: 1.0e-04 loss: 2.896e-02]
lana-lora-wan2.2:   9%|####7                                               | 454/5000 [08:16<3:04:16,  2.43s/it, lr: 1.0e-04 loss: 2.896e-02]
lana-lora-wan2.2:   9%|####7                                               | 455/5000 [08:18<3:04:08,  2.43s/it, lr: 1.0e-04 loss: 1.604e-01]
lana-lora-wan2.2:   9%|####7                                               | 455/5000 [08:18<3:04:08,  2.43s/it, lr: 1.0e-04 loss: 1.604e-01]
lana-lora-wan2.2:   9%|####7                                               | 456/5000 [08:20<3:04:00,  2.43s/it, lr: 1.0e-04 loss: 2.987e-02]
lana-lora-wan2.2:   9%|####7                                               | 456/5000 [08:20<3:04:00,  2.43s/it, lr: 1.0e-04 loss: 2.987e-02]
lana-lora-wan2.2:   9%|####7                                               | 457/5000 [08:21<3:03:31,  2.42s/it, lr: 1.0e-04 loss: 1.869e-01]
lana-lora-wan2.2:   9%|####7                                               | 457/5000 [08:21<3:03:31,  2.42s/it, lr: 1.0e-04 loss: 1.869e-01]
lana-lora-wan2.2:   9%|####7                                               | 458/5000 [08:25<3:04:02,  2.43s/it, lr: 1.0e-04 loss: 4.052e-02]
lana-lora-wan2.2:   9%|####7                                               | 458/5000 [08:25<3:04:02,  2.43s/it, lr: 1.0e-04 loss: 4.052e-02]
lana-lora-wan2.2:   9%|####7                                               | 459/5000 [08:29<3:04:27,  2.44s/it, lr: 1.0e-04 loss: 7.517e-02]
lana-lora-wan2.2:   9%|####7                                               | 459/5000 [08:29<3:04:27,  2.44s/it, lr: 1.0e-04 loss: 7.517e-02]
lana-lora-wan2.2:   9%|####7                                               | 460/5000 [08:31<3:04:19,  2.44s/it, lr: 1.0e-04 loss: 4.033e-02]
lana-lora-wan2.2:   9%|####7                                               | 460/5000 [08:31<3:04:19,  2.44s/it, lr: 1.0e-04 loss: 4.033e-02]
lana-lora-wan2.2:   9%|####7                                               | 461/5000 [08:35<3:04:43,  2.44s/it, lr: 1.0e-04 loss: 4.517e-02]
lana-lora-wan2.2:   9%|####7                                               | 461/5000 [08:35<3:04:43,  2.44s/it, lr: 1.0e-04 loss: 4.517e-02]
lana-lora-wan2.2:   9%|####8                                               | 462/5000 [08:36<3:04:13,  2.44s/it, lr: 1.0e-04 loss: 5.253e-02]
lana-lora-wan2.2:   9%|####8                                               | 462/5000 [08:36<3:04:13,  2.44s/it, lr: 1.0e-04 loss: 5.253e-02]
lana-lora-wan2.2:   9%|####8                                               | 463/5000 [08:37<3:03:44,  2.43s/it, lr: 1.0e-04 loss: 6.561e-02]
lana-lora-wan2.2:   9%|####8                                               | 463/5000 [08:37<3:03:44,  2.43s/it, lr: 1.0e-04 loss: 6.561e-02]
lana-lora-wan2.2:   9%|####8                                               | 464/5000 [08:40<3:03:43,  2.43s/it, lr: 1.0e-04 loss: 1.045e-01]
lana-lora-wan2.2:   9%|####8                                               | 464/5000 [08:40<3:03:43,  2.43s/it, lr: 1.0e-04 loss: 1.045e-01]
lana-lora-wan2.2:   9%|####8                                               | 465/5000 [08:41<3:03:29,  2.43s/it, lr: 1.0e-04 loss: 9.728e-02]
lana-lora-wan2.2:   9%|####8                                               | 465/5000 [08:41<3:03:29,  2.43s/it, lr: 1.0e-04 loss: 9.728e-02]
lana-lora-wan2.2:   9%|####8                                               | 466/5000 [08:45<3:03:53,  2.43s/it, lr: 1.0e-04 loss: 2.745e-02]
lana-lora-wan2.2:   9%|####8                                               | 466/5000 [08:45<3:03:53,  2.43s/it, lr: 1.0e-04 loss: 2.745e-02]
lana-lora-wan2.2:   9%|####8                                               | 467/5000 [08:49<3:04:16,  2.44s/it, lr: 1.0e-04 loss: 3.656e-02]
lana-lora-wan2.2:   9%|####8                                               | 467/5000 [08:49<3:04:16,  2.44s/it, lr: 1.0e-04 loss: 3.656e-02]
lana-lora-wan2.2:   9%|####8                                               | 468/5000 [08:50<3:03:48,  2.43s/it, lr: 1.0e-04 loss: 3.953e-02]
lana-lora-wan2.2:   9%|####8                                               | 468/5000 [08:50<3:03:48,  2.43s/it, lr: 1.0e-04 loss: 3.953e-02]
lana-lora-wan2.2:   9%|####8                                               | 469/5000 [08:51<3:03:19,  2.43s/it, lr: 1.0e-04 loss: 4.212e-02]
lana-lora-wan2.2:   9%|####8                                               | 469/5000 [08:51<3:03:19,  2.43s/it, lr: 1.0e-04 loss: 4.212e-02]
lana-lora-wan2.2:   9%|####8                                               | 470/5000 [08:53<3:03:06,  2.43s/it, lr: 1.0e-04 loss: 7.458e-02]
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lana-lora-wan2.2:   9%|####8                                               | 471/5000 [08:55<3:02:59,  2.42s/it, lr: 1.0e-04 loss: 8.056e-02]
lana-lora-wan2.2:   9%|####8                                               | 471/5000 [08:55<3:02:59,  2.42s/it, lr: 1.0e-04 loss: 8.056e-02]
lana-lora-wan2.2:   9%|####9                                               | 472/5000 [08:57<3:02:52,  2.42s/it, lr: 1.0e-04 loss: 4.369e-02]
lana-lora-wan2.2:   9%|####9                                               | 472/5000 [08:57<3:02:52,  2.42s/it, lr: 1.0e-04 loss: 4.369e-02]
lana-lora-wan2.2:   9%|####9                                               | 473/5000 [09:00<3:02:44,  2.42s/it, lr: 1.0e-04 loss: 7.925e-02]
lana-lora-wan2.2:   9%|####9                                               | 473/5000 [09:00<3:02:44,  2.42s/it, lr: 1.0e-04 loss: 7.925e-02]
lana-lora-wan2.2:   9%|####9                                               | 474/5000 [09:03<3:03:07,  2.43s/it, lr: 1.0e-04 loss: 5.891e-02]
lana-lora-wan2.2:   9%|####9                                               | 474/5000 [09:03<3:03:07,  2.43s/it, lr: 1.0e-04 loss: 5.891e-02]
lana-lora-wan2.2:  10%|####9                                               | 475/5000 [09:05<3:02:59,  2.43s/it, lr: 1.0e-04 loss: 4.514e-02]
lana-lora-wan2.2:  10%|####9                                               | 475/5000 [09:05<3:02:59,  2.43s/it, lr: 1.0e-04 loss: 4.514e-02]
lana-lora-wan2.2:  10%|####9                                               | 476/5000 [09:09<3:03:26,  2.43s/it, lr: 1.0e-04 loss: 4.059e-02]
lana-lora-wan2.2:  10%|####9                                               | 476/5000 [09:09<3:03:26,  2.43s/it, lr: 1.0e-04 loss: 4.059e-02]
lana-lora-wan2.2:  10%|####9                                               | 477/5000 [09:11<3:02:59,  2.43s/it, lr: 1.0e-04 loss: 5.677e-02]
lana-lora-wan2.2:  10%|####9                                               | 477/5000 [09:11<3:02:59,  2.43s/it, lr: 1.0e-04 loss: 5.677e-02]
lana-lora-wan2.2:  10%|####9                                               | 478/5000 [09:13<3:02:51,  2.43s/it, lr: 1.0e-04 loss: 8.627e-02]
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+Saving at step 500
+Saved checkpoint to /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000000500.safetensors
+Saved optimizer to /root/lab/ai-toolkit/output/lana-lora-wan2.2/optimizer.pt
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lana-lora-wan2.2:  12%|######2                                             | 597/5000 [14:00<2:57:49,  2.42s/it, lr: 1.0e-04 loss: 3.650e-02]
lana-lora-wan2.2:  12%|######2                                             | 597/5000 [14:00<2:57:49,  2.42s/it, lr: 1.0e-04 loss: 3.650e-02]
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lana-lora-wan2.2:  12%|######2                                             | 598/5000 [14:04<2:58:02,  2.43s/it, lr: 1.0e-04 loss: 3.590e-02]
lana-lora-wan2.2:  12%|######2                                             | 599/5000 [14:06<2:58:00,  2.43s/it, lr: 1.0e-04 loss: 1.886e-01]
lana-lora-wan2.2:  12%|######2                                             | 599/5000 [14:06<2:58:00,  2.43s/it, lr: 1.0e-04 loss: 1.886e-01]
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lana-lora-wan2.2:  12%|######2                                             | 601/5000 [14:14<2:58:26,  2.43s/it, lr: 1.0e-04 loss: 5.650e-02]
lana-lora-wan2.2:  12%|######2                                             | 601/5000 [14:14<2:58:26,  2.43s/it, lr: 1.0e-04 loss: 5.650e-02]
lana-lora-wan2.2:  12%|######2                                             | 602/5000 [14:17<2:58:39,  2.44s/it, lr: 1.0e-04 loss: 5.804e-02]
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lana-lora-wan2.2:  12%|######2                                             | 603/5000 [14:20<2:58:33,  2.44s/it, lr: 1.0e-04 loss: 3.586e-02]
lana-lora-wan2.2:  12%|######2                                             | 603/5000 [14:20<2:58:33,  2.44s/it, lr: 1.0e-04 loss: 3.586e-02]
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lana-lora-wan2.2:  12%|######2                                             | 605/5000 [14:24<2:58:26,  2.44s/it, lr: 1.0e-04 loss: 3.477e-02]
lana-lora-wan2.2:  12%|######2                                             | 605/5000 [14:24<2:58:26,  2.44s/it, lr: 1.0e-04 loss: 3.477e-02]
lana-lora-wan2.2:  12%|######3                                             | 606/5000 [14:26<2:58:09,  2.43s/it, lr: 1.0e-04 loss: 7.127e-02]
lana-lora-wan2.2:  12%|######3                                             | 606/5000 [14:26<2:58:09,  2.43s/it, lr: 1.0e-04 loss: 7.127e-02]
lana-lora-wan2.2:  12%|######3                                             | 607/5000 [14:28<2:58:03,  2.43s/it, lr: 1.0e-04 loss: 8.967e-02]
lana-lora-wan2.2:  12%|######3                                             | 607/5000 [14:28<2:58:03,  2.43s/it, lr: 1.0e-04 loss: 8.967e-02]
lana-lora-wan2.2:  12%|######3                                             | 608/5000 [14:31<2:58:16,  2.44s/it, lr: 1.0e-04 loss: 4.575e-02]
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lana-lora-wan2.2:  12%|######3                                             | 609/5000 [14:33<2:57:58,  2.43s/it, lr: 1.0e-04 loss: 8.766e-02]
lana-lora-wan2.2:  12%|######3                                             | 609/5000 [14:33<2:57:58,  2.43s/it, lr: 1.0e-04 loss: 8.766e-02]
lana-lora-wan2.2:  12%|######3                                             | 610/5000 [14:34<2:57:40,  2.43s/it, lr: 1.0e-04 loss: 1.585e-01]
lana-lora-wan2.2:  12%|######3                                             | 610/5000 [14:34<2:57:40,  2.43s/it, lr: 1.0e-04 loss: 1.585e-01]
lana-lora-wan2.2:  12%|######3                                             | 611/5000 [14:38<2:57:56,  2.43s/it, lr: 1.0e-04 loss: 3.512e-02]
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lana-lora-wan2.2:  12%|######3                                             | 612/5000 [14:39<2:57:39,  2.43s/it, lr: 1.0e-04 loss: 6.340e-02]
lana-lora-wan2.2:  12%|######3                                             | 612/5000 [14:39<2:57:39,  2.43s/it, lr: 1.0e-04 loss: 6.340e-02]
lana-lora-wan2.2:  12%|######3                                             | 613/5000 [14:40<2:57:21,  2.43s/it, lr: 1.0e-04 loss: 1.235e-01]
lana-lora-wan2.2:  12%|######3                                             | 613/5000 [14:40<2:57:21,  2.43s/it, lr: 1.0e-04 loss: 1.235e-01]
lana-lora-wan2.2:  12%|######3                                             | 614/5000 [14:42<2:57:16,  2.43s/it, lr: 1.0e-04 loss: 2.910e-02]
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lana-lora-wan2.2:  12%|######3                                             | 615/5000 [14:44<2:57:10,  2.42s/it, lr: 1.0e-04 loss: 1.303e-01]
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lana-lora-wan2.2:  12%|######4                                             | 616/5000 [14:47<2:57:08,  2.42s/it, lr: 1.0e-04 loss: 1.168e-01]
lana-lora-wan2.2:  12%|######4                                             | 616/5000 [14:47<2:57:08,  2.42s/it, lr: 1.0e-04 loss: 1.168e-01]
lana-lora-wan2.2:  12%|######4                                             | 617/5000 [14:49<2:57:03,  2.42s/it, lr: 1.0e-04 loss: 1.005e-01]
lana-lora-wan2.2:  12%|######4                                             | 617/5000 [14:49<2:57:03,  2.42s/it, lr: 1.0e-04 loss: 1.005e-01]
lana-lora-wan2.2:  12%|######4                                             | 618/5000 [14:51<2:56:58,  2.42s/it, lr: 1.0e-04 loss: 5.748e-02]
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lana-lora-wan2.2:  12%|######4                                             | 619/5000 [14:52<2:56:40,  2.42s/it, lr: 1.0e-04 loss: 6.118e-02]
lana-lora-wan2.2:  12%|######4                                             | 619/5000 [14:52<2:56:40,  2.42s/it, lr: 1.0e-04 loss: 6.118e-02]
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lana-lora-wan2.2:  12%|######4                                             | 621/5000 [15:00<2:57:05,  2.43s/it, lr: 1.0e-04 loss: 6.031e-02]
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lana-lora-wan2.2:  12%|######4                                             | 624/5000 [15:09<2:57:16,  2.43s/it, lr: 1.0e-04 loss: 1.030e-01]
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lana-lora-wan2.2:  12%|######5                                             | 625/5000 [15:10<2:56:58,  2.43s/it, lr: 1.0e-04 loss: 4.795e-02]
lana-lora-wan2.2:  12%|######5                                             | 625/5000 [15:10<2:56:58,  2.43s/it, lr: 1.0e-04 loss: 4.795e-02]
lana-lora-wan2.2:  13%|######5                                             | 626/5000 [15:12<2:56:53,  2.43s/it, lr: 1.0e-04 loss: 1.173e-01]
lana-lora-wan2.2:  13%|######5                                             | 626/5000 [15:12<2:56:53,  2.43s/it, lr: 1.0e-04 loss: 1.173e-01]
lana-lora-wan2.2:  13%|######5                                             | 627/5000 [15:13<2:56:36,  2.42s/it, lr: 1.0e-04 loss: 5.019e-02]
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lana-lora-wan2.2:  13%|######5                                             | 628/5000 [15:15<2:56:23,  2.42s/it, lr: 1.0e-04 loss: 5.859e-02]
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lana-lora-wan2.2:  13%|######5                                             | 629/5000 [15:16<2:56:06,  2.42s/it, lr: 1.0e-04 loss: 3.357e-02]
lana-lora-wan2.2:  13%|######5                                             | 630/5000 [15:17<2:55:49,  2.41s/it, lr: 1.0e-04 loss: 5.274e-02]
lana-lora-wan2.2:  13%|######5                                             | 630/5000 [15:17<2:55:49,  2.41s/it, lr: 1.0e-04 loss: 5.274e-02]
lana-lora-wan2.2:  13%|######5                                             | 631/5000 [15:21<2:56:01,  2.42s/it, lr: 1.0e-04 loss: 3.840e-02]
lana-lora-wan2.2:  13%|######5                                             | 631/5000 [15:21<2:56:01,  2.42s/it, lr: 1.0e-04 loss: 3.840e-02]
lana-lora-wan2.2:  13%|######5                                             | 632/5000 [15:23<2:55:56,  2.42s/it, lr: 1.0e-04 loss: 1.877e-01]
lana-lora-wan2.2:  13%|######5                                             | 632/5000 [15:23<2:55:56,  2.42s/it, lr: 1.0e-04 loss: 1.877e-01]
lana-lora-wan2.2:  13%|######5                                             | 633/5000 [15:24<2:55:40,  2.41s/it, lr: 1.0e-04 loss: 9.385e-02]
lana-lora-wan2.2:  13%|######5                                             | 633/5000 [15:24<2:55:40,  2.41s/it, lr: 1.0e-04 loss: 9.385e-02]
lana-lora-wan2.2:  13%|######5                                             | 634/5000 [15:26<2:55:38,  2.41s/it, lr: 1.0e-04 loss: 5.114e-02]
lana-lora-wan2.2:  13%|######5                                             | 634/5000 [15:26<2:55:38,  2.41s/it, lr: 1.0e-04 loss: 5.114e-02]
lana-lora-wan2.2:  13%|######6                                             | 635/5000 [15:28<2:55:22,  2.41s/it, lr: 1.0e-04 loss: 6.129e-02]
lana-lora-wan2.2:  13%|######6                                             | 635/5000 [15:28<2:55:22,  2.41s/it, lr: 1.0e-04 loss: 6.129e-02]
lana-lora-wan2.2:  13%|######6                                             | 636/5000 [15:30<2:55:17,  2.41s/it, lr: 1.0e-04 loss: 5.616e-02]
lana-lora-wan2.2:  13%|######6                                             | 636/5000 [15:30<2:55:17,  2.41s/it, lr: 1.0e-04 loss: 5.616e-02]
lana-lora-wan2.2:  13%|######6                                             | 637/5000 [15:33<2:55:29,  2.41s/it, lr: 1.0e-04 loss: 2.832e-02]
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lana-lora-wan2.2:  13%|######6                                             | 638/5000 [15:36<2:55:24,  2.41s/it, lr: 1.0e-04 loss: 1.449e-01]
lana-lora-wan2.2:  13%|######6                                             | 638/5000 [15:36<2:55:24,  2.41s/it, lr: 1.0e-04 loss: 1.449e-01]
lana-lora-wan2.2:  13%|######6                                             | 639/5000 [15:37<2:55:07,  2.41s/it, lr: 1.0e-04 loss: 5.565e-02]
lana-lora-wan2.2:  13%|######6                                             | 639/5000 [15:37<2:55:07,  2.41s/it, lr: 1.0e-04 loss: 5.565e-02]
lana-lora-wan2.2:  13%|######6                                             | 640/5000 [15:38<2:54:54,  2.41s/it, lr: 1.0e-04 loss: 1.051e-01]
lana-lora-wan2.2:  13%|######6                                             | 640/5000 [15:38<2:54:54,  2.41s/it, lr: 1.0e-04 loss: 1.051e-01]
lana-lora-wan2.2:  13%|######6                                             | 641/5000 [15:42<2:55:06,  2.41s/it, lr: 1.0e-04 loss: 4.814e-02]
lana-lora-wan2.2:  13%|######6                                             | 641/5000 [15:42<2:55:06,  2.41s/it, lr: 1.0e-04 loss: 4.814e-02]
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lana-lora-wan2.2:  13%|######7                                             | 645/5000 [15:50<2:54:40,  2.41s/it, lr: 1.0e-04 loss: 8.341e-02]
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lana-lora-wan2.2:  13%|######7                                             | 647/5000 [15:55<2:54:35,  2.41s/it, lr: 1.0e-04 loss: 1.264e-01]
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lana-lora-wan2.2:  13%|######7                                             | 648/5000 [15:56<2:54:19,  2.40s/it, lr: 1.0e-04 loss: 6.606e-02]
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lana-lora-wan2.2:  13%|######7                                             | 650/5000 [16:02<2:54:25,  2.41s/it, lr: 1.0e-04 loss: 3.103e-02]
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lana-lora-wan2.2:  13%|######8                                             | 654/5000 [16:14<2:54:41,  2.41s/it, lr: 1.0e-04 loss: 3.171e-02]
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lana-lora-wan2.2:  13%|######8                                             | 655/5000 [16:17<2:54:51,  2.41s/it, lr: 1.0e-04 loss: 4.119e-02]
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lana-lora-wan2.2:  13%|######8                                             | 658/5000 [16:26<2:55:02,  2.42s/it, lr: 1.0e-04 loss: 8.632e-02]
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lana-lora-wan2.2:  13%|######8                                             | 661/5000 [16:32<2:54:36,  2.41s/it, lr: 1.0e-04 loss: 4.291e-02]
lana-lora-wan2.2:  13%|######8                                             | 662/5000 [16:34<2:54:31,  2.41s/it, lr: 1.0e-04 loss: 4.052e-02]
lana-lora-wan2.2:  13%|######8                                             | 662/5000 [16:34<2:54:31,  2.41s/it, lr: 1.0e-04 loss: 4.052e-02]
lana-lora-wan2.2:  13%|######8                                             | 663/5000 [16:36<2:54:19,  2.41s/it, lr: 1.0e-04 loss: 3.146e-02]
lana-lora-wan2.2:  13%|######8                                             | 663/5000 [16:36<2:54:19,  2.41s/it, lr: 1.0e-04 loss: 3.146e-02]
lana-lora-wan2.2:  13%|######9                                             | 664/5000 [16:39<2:54:30,  2.41s/it, lr: 1.0e-04 loss: 1.566e-01]
lana-lora-wan2.2:  13%|######9                                             | 664/5000 [16:39<2:54:30,  2.41s/it, lr: 1.0e-04 loss: 1.566e-01]
lana-lora-wan2.2:  13%|######9                                             | 665/5000 [16:43<2:54:40,  2.42s/it, lr: 1.0e-04 loss: 4.488e-02]
lana-lora-wan2.2:  13%|######9                                             | 665/5000 [16:43<2:54:40,  2.42s/it, lr: 1.0e-04 loss: 4.488e-02]
lana-lora-wan2.2:  13%|######9                                             | 666/5000 [16:45<2:54:35,  2.42s/it, lr: 1.0e-04 loss: 4.016e-02]
lana-lora-wan2.2:  13%|######9                                             | 666/5000 [16:45<2:54:35,  2.42s/it, lr: 1.0e-04 loss: 4.016e-02]
lana-lora-wan2.2:  13%|######9                                             | 667/5000 [16:49<2:54:46,  2.42s/it, lr: 1.0e-04 loss: 1.234e-01]
lana-lora-wan2.2:  13%|######9                                             | 667/5000 [16:49<2:54:46,  2.42s/it, lr: 1.0e-04 loss: 1.234e-01]
lana-lora-wan2.2:  13%|######9                                             | 668/5000 [16:52<2:54:56,  2.42s/it, lr: 1.0e-04 loss: 8.133e-02]
lana-lora-wan2.2:  13%|######9                                             | 668/5000 [16:52<2:54:56,  2.42s/it, lr: 1.0e-04 loss: 8.133e-02]
lana-lora-wan2.2:  13%|######9                                             | 669/5000 [16:55<2:54:55,  2.42s/it, lr: 1.0e-04 loss: 3.058e-02]
lana-lora-wan2.2:  13%|######9                                             | 669/5000 [16:55<2:54:55,  2.42s/it, lr: 1.0e-04 loss: 3.058e-02]
lana-lora-wan2.2:  13%|######9                                             | 670/5000 [16:57<2:54:49,  2.42s/it, lr: 1.0e-04 loss: 5.099e-02]
lana-lora-wan2.2:  13%|######9                                             | 670/5000 [16:57<2:54:49,  2.42s/it, lr: 1.0e-04 loss: 5.099e-02]
lana-lora-wan2.2:  13%|######9                                             | 671/5000 [16:59<2:54:44,  2.42s/it, lr: 1.0e-04 loss: 3.459e-02]
lana-lora-wan2.2:  13%|######9                                             | 671/5000 [16:59<2:54:44,  2.42s/it, lr: 1.0e-04 loss: 3.459e-02]
lana-lora-wan2.2:  13%|######9                                             | 672/5000 [17:01<2:54:40,  2.42s/it, lr: 1.0e-04 loss: 5.338e-02]
lana-lora-wan2.2:  13%|######9                                             | 672/5000 [17:01<2:54:40,  2.42s/it, lr: 1.0e-04 loss: 5.338e-02]
lana-lora-wan2.2:  13%|######9                                             | 673/5000 [17:03<2:54:24,  2.42s/it, lr: 1.0e-04 loss: 4.059e-02]
lana-lora-wan2.2:  13%|######9                                             | 673/5000 [17:03<2:54:24,  2.42s/it, lr: 1.0e-04 loss: 4.059e-02]
lana-lora-wan2.2:  13%|#######                                             | 674/5000 [17:04<2:54:09,  2.42s/it, lr: 1.0e-04 loss: 2.841e-02]
lana-lora-wan2.2:  13%|#######                                             | 674/5000 [17:04<2:54:09,  2.42s/it, lr: 1.0e-04 loss: 2.841e-02]
lana-lora-wan2.2:  14%|#######                                             | 675/5000 [17:06<2:54:08,  2.42s/it, lr: 1.0e-04 loss: 3.168e-01]
lana-lora-wan2.2:  14%|#######                                             | 675/5000 [17:06<2:54:08,  2.42s/it, lr: 1.0e-04 loss: 3.168e-01]
lana-lora-wan2.2:  14%|#######                                             | 676/5000 [17:08<2:54:03,  2.42s/it, lr: 1.0e-04 loss: 2.700e-02]
lana-lora-wan2.2:  14%|#######                                             | 676/5000 [17:08<2:54:03,  2.42s/it, lr: 1.0e-04 loss: 2.700e-02]
lana-lora-wan2.2:  14%|#######                                             | 677/5000 [17:12<2:54:13,  2.42s/it, lr: 1.0e-04 loss: 3.474e-02]
lana-lora-wan2.2:  14%|#######                                             | 677/5000 [17:12<2:54:13,  2.42s/it, lr: 1.0e-04 loss: 3.474e-02]
lana-lora-wan2.2:  14%|#######                                             | 678/5000 [17:13<2:53:58,  2.42s/it, lr: 1.0e-04 loss: 4.057e-02]
lana-lora-wan2.2:  14%|#######                                             | 678/5000 [17:13<2:53:58,  2.42s/it, lr: 1.0e-04 loss: 4.057e-02]
lana-lora-wan2.2:  14%|#######                                             | 679/5000 [17:15<2:53:53,  2.41s/it, lr: 1.0e-04 loss: 1.989e-01]
lana-lora-wan2.2:  14%|#######                                             | 679/5000 [17:15<2:53:53,  2.41s/it, lr: 1.0e-04 loss: 1.989e-01]
lana-lora-wan2.2:  14%|#######                                             | 680/5000 [17:18<2:53:51,  2.41s/it, lr: 1.0e-04 loss: 3.352e-02]
lana-lora-wan2.2:  14%|#######                                             | 680/5000 [17:18<2:53:51,  2.41s/it, lr: 1.0e-04 loss: 3.352e-02]
lana-lora-wan2.2:  14%|#######                                             | 681/5000 [17:21<2:53:52,  2.42s/it, lr: 1.0e-04 loss: 2.807e-02]
lana-lora-wan2.2:  14%|#######                                             | 681/5000 [17:21<2:53:52,  2.42s/it, lr: 1.0e-04 loss: 2.807e-02]
lana-lora-wan2.2:  14%|#######                                             | 682/5000 [17:24<2:54:02,  2.42s/it, lr: 1.0e-04 loss: 4.946e-02]
lana-lora-wan2.2:  14%|#######                                             | 682/5000 [17:24<2:54:02,  2.42s/it, lr: 1.0e-04 loss: 4.946e-02]
lana-lora-wan2.2:  14%|#######1                                            | 683/5000 [17:26<2:53:57,  2.42s/it, lr: 1.0e-04 loss: 7.266e-02]
lana-lora-wan2.2:  14%|#######1                                            | 683/5000 [17:26<2:53:57,  2.42s/it, lr: 1.0e-04 loss: 7.266e-02]
lana-lora-wan2.2:  14%|#######1                                            | 684/5000 [17:30<2:54:07,  2.42s/it, lr: 1.0e-04 loss: 4.664e-02]
lana-lora-wan2.2:  14%|#######1                                            | 684/5000 [17:30<2:54:07,  2.42s/it, lr: 1.0e-04 loss: 4.664e-02]
lana-lora-wan2.2:  14%|#######1                                            | 685/5000 [17:32<2:54:02,  2.42s/it, lr: 1.0e-04 loss: 5.889e-02]
lana-lora-wan2.2:  14%|#######1                                            | 685/5000 [17:32<2:54:02,  2.42s/it, lr: 1.0e-04 loss: 5.889e-02]
lana-lora-wan2.2:  14%|#######1                                            | 686/5000 [17:34<2:53:56,  2.42s/it, lr: 1.0e-04 loss: 6.505e-02]
lana-lora-wan2.2:  14%|#######1                                            | 686/5000 [17:34<2:53:56,  2.42s/it, lr: 1.0e-04 loss: 6.505e-02]
lana-lora-wan2.2:  14%|#######1                                            | 687/5000 [17:38<2:54:05,  2.42s/it, lr: 1.0e-04 loss: 6.803e-02]
lana-lora-wan2.2:  14%|#######1                                            | 687/5000 [17:38<2:54:05,  2.42s/it, lr: 1.0e-04 loss: 6.803e-02]
lana-lora-wan2.2:  14%|#######1                                            | 688/5000 [17:42<2:54:15,  2.42s/it, lr: 1.0e-04 loss: 5.373e-02]
lana-lora-wan2.2:  14%|#######1                                            | 688/5000 [17:42<2:54:15,  2.42s/it, lr: 1.0e-04 loss: 5.373e-02]
lana-lora-wan2.2:  14%|#######1                                            | 689/5000 [17:44<2:54:10,  2.42s/it, lr: 1.0e-04 loss: 6.452e-02]
lana-lora-wan2.2:  14%|#######1                                            | 689/5000 [17:44<2:54:10,  2.42s/it, lr: 1.0e-04 loss: 6.452e-02]
lana-lora-wan2.2:  14%|#######1                                            | 690/5000 [17:45<2:53:56,  2.42s/it, lr: 1.0e-04 loss: 1.367e-01]
lana-lora-wan2.2:  14%|#######1                                            | 690/5000 [17:45<2:53:56,  2.42s/it, lr: 1.0e-04 loss: 1.367e-01]
lana-lora-wan2.2:  14%|#######1                                            | 691/5000 [17:47<2:53:51,  2.42s/it, lr: 1.0e-04 loss: 3.125e-02]
lana-lora-wan2.2:  14%|#######1                                            | 691/5000 [17:47<2:53:51,  2.42s/it, lr: 1.0e-04 loss: 3.125e-02]
lana-lora-wan2.2:  14%|#######1                                            | 692/5000 [17:50<2:53:49,  2.42s/it, lr: 1.0e-04 loss: 1.777e-01]
lana-lora-wan2.2:  14%|#######1                                            | 692/5000 [17:50<2:53:49,  2.42s/it, lr: 1.0e-04 loss: 1.777e-01]
lana-lora-wan2.2:  14%|#######2                                            | 693/5000 [17:51<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 1.781e-01]
lana-lora-wan2.2:  14%|#######2                                            | 693/5000 [17:51<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 1.781e-01]
lana-lora-wan2.2:  14%|#######2                                            | 694/5000 [17:54<2:53:44,  2.42s/it, lr: 1.0e-04 loss: 2.826e-02]
lana-lora-wan2.2:  14%|#######2                                            | 694/5000 [17:54<2:53:44,  2.42s/it, lr: 1.0e-04 loss: 2.826e-02]
lana-lora-wan2.2:  14%|#######2                                            | 695/5000 [17:57<2:53:39,  2.42s/it, lr: 1.0e-04 loss: 3.041e-02]
lana-lora-wan2.2:  14%|#######2                                            | 695/5000 [17:57<2:53:39,  2.42s/it, lr: 1.0e-04 loss: 3.041e-02]
lana-lora-wan2.2:  14%|#######2                                            | 696/5000 [18:00<2:53:48,  2.42s/it, lr: 1.0e-04 loss: 2.613e-02]
lana-lora-wan2.2:  14%|#######2                                            | 696/5000 [18:00<2:53:48,  2.42s/it, lr: 1.0e-04 loss: 2.613e-02]
lana-lora-wan2.2:  14%|#######2                                            | 697/5000 [18:01<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 7.667e-02]
lana-lora-wan2.2:  14%|#######2                                            | 697/5000 [18:01<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 7.667e-02]
lana-lora-wan2.2:  14%|#######2                                            | 698/5000 [18:05<2:53:46,  2.42s/it, lr: 1.0e-04 loss: 9.582e-02]
lana-lora-wan2.2:  14%|#######2                                            | 698/5000 [18:05<2:53:46,  2.42s/it, lr: 1.0e-04 loss: 9.582e-02]
lana-lora-wan2.2:  14%|#######2                                            | 699/5000 [18:07<2:53:41,  2.42s/it, lr: 1.0e-04 loss: 3.587e-02]
lana-lora-wan2.2:  14%|#######2                                            | 699/5000 [18:07<2:53:41,  2.42s/it, lr: 1.0e-04 loss: 3.587e-02]
lana-lora-wan2.2:  14%|#######2                                            | 700/5000 [18:09<2:53:27,  2.42s/it, lr: 1.0e-04 loss: 3.217e-02]
lana-lora-wan2.2:  14%|#######2                                            | 700/5000 [18:09<2:53:27,  2.42s/it, lr: 1.0e-04 loss: 3.217e-02]
lana-lora-wan2.2:  14%|#######2                                            | 701/5000 [18:12<2:53:36,  2.42s/it, lr: 1.0e-04 loss: 3.017e-02]
lana-lora-wan2.2:  14%|#######2                                            | 701/5000 [18:12<2:53:36,  2.42s/it, lr: 1.0e-04 loss: 3.017e-02]
lana-lora-wan2.2:  14%|#######3                                            | 702/5000 [18:16<2:53:46,  2.43s/it, lr: 1.0e-04 loss: 5.446e-02]
lana-lora-wan2.2:  14%|#######3                                            | 702/5000 [18:16<2:53:46,  2.43s/it, lr: 1.0e-04 loss: 5.446e-02]
lana-lora-wan2.2:  14%|#######3                                            | 703/5000 [18:18<2:53:41,  2.43s/it, lr: 1.0e-04 loss: 3.106e-02]
lana-lora-wan2.2:  14%|#######3                                            | 703/5000 [18:18<2:53:41,  2.43s/it, lr: 1.0e-04 loss: 3.106e-02]
lana-lora-wan2.2:  14%|#######3                                            | 704/5000 [18:21<2:53:39,  2.43s/it, lr: 1.0e-04 loss: 4.650e-02]
lana-lora-wan2.2:  14%|#######3                                            | 704/5000 [18:21<2:53:39,  2.43s/it, lr: 1.0e-04 loss: 4.650e-02]
lana-lora-wan2.2:  14%|#######3                                            | 705/5000 [18:23<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 5.075e-02]
lana-lora-wan2.2:  14%|#######3                                            | 705/5000 [18:23<2:53:34,  2.42s/it, lr: 1.0e-04 loss: 5.075e-02]
lana-lora-wan2.2:  14%|#######3                                            | 706/5000 [18:26<2:53:43,  2.43s/it, lr: 1.0e-04 loss: 5.740e-02]
lana-lora-wan2.2:  14%|#######3                                            | 706/5000 [18:26<2:53:43,  2.43s/it, lr: 1.0e-04 loss: 5.740e-02]
lana-lora-wan2.2:  14%|#######3                                            | 707/5000 [18:28<2:53:29,  2.42s/it, lr: 1.0e-04 loss: 1.478e-01]
lana-lora-wan2.2:  14%|#######3                                            | 707/5000 [18:28<2:53:29,  2.42s/it, lr: 1.0e-04 loss: 1.478e-01]
lana-lora-wan2.2:  14%|#######3                                            | 708/5000 [18:31<2:53:38,  2.43s/it, lr: 1.0e-04 loss: 7.397e-02]
lana-lora-wan2.2:  14%|#######3                                            | 708/5000 [18:31<2:53:38,  2.43s/it, lr: 1.0e-04 loss: 7.397e-02]
lana-lora-wan2.2:  14%|#######3                                            | 709/5000 [18:33<2:53:33,  2.43s/it, lr: 1.0e-04 loss: 4.361e-02]
lana-lora-wan2.2:  14%|#######3                                            | 709/5000 [18:33<2:53:33,  2.43s/it, lr: 1.0e-04 loss: 4.361e-02]
lana-lora-wan2.2:  14%|#######3                                            | 710/5000 [18:36<2:53:32,  2.43s/it, lr: 1.0e-04 loss: 1.942e-01]
lana-lora-wan2.2:  14%|#######3                                            | 710/5000 [18:36<2:53:32,  2.43s/it, lr: 1.0e-04 loss: 1.942e-01]
lana-lora-wan2.2:  14%|#######3                                            | 711/5000 [18:37<2:53:17,  2.42s/it, lr: 1.0e-04 loss: 3.263e-02]
lana-lora-wan2.2:  14%|#######3                                            | 711/5000 [18:37<2:53:17,  2.42s/it, lr: 1.0e-04 loss: 3.263e-02]
lana-lora-wan2.2:  14%|#######4                                            | 712/5000 [18:41<2:53:26,  2.43s/it, lr: 1.0e-04 loss: 2.175e-02]
lana-lora-wan2.2:  14%|#######4                                            | 712/5000 [18:41<2:53:26,  2.43s/it, lr: 1.0e-04 loss: 2.175e-02]
lana-lora-wan2.2:  14%|#######4                                            | 713/5000 [18:43<2:53:22,  2.43s/it, lr: 1.0e-04 loss: 4.567e-02]
lana-lora-wan2.2:  14%|#######4                                            | 713/5000 [18:43<2:53:22,  2.43s/it, lr: 1.0e-04 loss: 4.567e-02]
lana-lora-wan2.2:  14%|#######4                                            | 714/5000 [18:47<2:53:31,  2.43s/it, lr: 1.0e-04 loss: 3.723e-02]
lana-lora-wan2.2:  14%|#######4                                            | 714/5000 [18:47<2:53:31,  2.43s/it, lr: 1.0e-04 loss: 3.723e-02]
lana-lora-wan2.2:  14%|#######4                                            | 715/5000 [18:48<2:53:16,  2.43s/it, lr: 1.0e-04 loss: 4.672e-02]
lana-lora-wan2.2:  14%|#######4                                            | 715/5000 [18:48<2:53:16,  2.43s/it, lr: 1.0e-04 loss: 4.672e-02]
lana-lora-wan2.2:  14%|#######4                                            | 716/5000 [18:50<2:53:15,  2.43s/it, lr: 1.0e-04 loss: 3.329e-02]
lana-lora-wan2.2:  14%|#######4                                            | 716/5000 [18:50<2:53:15,  2.43s/it, lr: 1.0e-04 loss: 3.329e-02]
lana-lora-wan2.2:  14%|#######4                                            | 717/5000 [18:54<2:53:24,  2.43s/it, lr: 1.0e-04 loss: 3.995e-02]
lana-lora-wan2.2:  14%|#######4                                            | 717/5000 [18:54<2:53:24,  2.43s/it, lr: 1.0e-04 loss: 3.995e-02]
lana-lora-wan2.2:  14%|#######4                                            | 718/5000 [18:58<2:53:33,  2.43s/it, lr: 1.0e-04 loss: 3.279e-02]
lana-lora-wan2.2:  14%|#######4                                            | 718/5000 [18:58<2:53:33,  2.43s/it, lr: 1.0e-04 loss: 3.279e-02]
lana-lora-wan2.2:  14%|#######4                                            | 719/5000 [19:01<2:53:41,  2.43s/it, lr: 1.0e-04 loss: 2.930e-02]
lana-lora-wan2.2:  14%|#######4                                            | 719/5000 [19:01<2:53:41,  2.43s/it, lr: 1.0e-04 loss: 2.930e-02]
lana-lora-wan2.2:  14%|#######4                                            | 720/5000 [19:02<2:53:27,  2.43s/it, lr: 1.0e-04 loss: 5.570e-02]
lana-lora-wan2.2:  14%|#######4                                            | 720/5000 [19:02<2:53:27,  2.43s/it, lr: 1.0e-04 loss: 5.570e-02]
lana-lora-wan2.2:  14%|#######4                                            | 721/5000 [19:06<2:53:36,  2.43s/it, lr: 1.0e-04 loss: 2.894e-02]
lana-lora-wan2.2:  14%|#######4                                            | 721/5000 [19:06<2:53:36,  2.43s/it, lr: 1.0e-04 loss: 2.894e-02]
lana-lora-wan2.2:  14%|#######5                                            | 722/5000 [19:10<2:53:47,  2.44s/it, lr: 1.0e-04 loss: 9.305e-02]
lana-lora-wan2.2:  14%|#######5                                            | 722/5000 [19:10<2:53:47,  2.44s/it, lr: 1.0e-04 loss: 9.305e-02]
lana-lora-wan2.2:  14%|#######5                                            | 723/5000 [19:11<2:53:32,  2.43s/it, lr: 1.0e-04 loss: 5.426e-02]
lana-lora-wan2.2:  14%|#######5                                            | 723/5000 [19:11<2:53:32,  2.43s/it, lr: 1.0e-04 loss: 5.426e-02]
lana-lora-wan2.2:  14%|#######5                                            | 724/5000 [19:12<2:53:18,  2.43s/it, lr: 1.0e-04 loss: 5.949e-02]
lana-lora-wan2.2:  14%|#######5                                            | 724/5000 [19:12<2:53:18,  2.43s/it, lr: 1.0e-04 loss: 5.949e-02]
lana-lora-wan2.2:  14%|#######5                                            | 725/5000 [19:13<2:53:04,  2.43s/it, lr: 1.0e-04 loss: 2.949e-02]
lana-lora-wan2.2:  14%|#######5                                            | 725/5000 [19:13<2:53:04,  2.43s/it, lr: 1.0e-04 loss: 2.949e-02]
lana-lora-wan2.2:  15%|#######5                                            | 726/5000 [19:16<2:53:00,  2.43s/it, lr: 1.0e-04 loss: 3.630e-02]
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lana-lora-wan2.2:  15%|#######7                                            | 745/5000 [19:57<2:51:30,  2.42s/it, lr: 1.0e-04 loss: 2.708e-02]
lana-lora-wan2.2:  15%|#######7                                            | 745/5000 [19:57<2:51:30,  2.42s/it, lr: 1.0e-04 loss: 2.708e-02]
lana-lora-wan2.2:  15%|#######7                                            | 746/5000 [19:59<2:51:26,  2.42s/it, lr: 1.0e-04 loss: 2.982e-02]
lana-lora-wan2.2:  15%|#######7                                            | 746/5000 [19:59<2:51:26,  2.42s/it, lr: 1.0e-04 loss: 2.982e-02]
lana-lora-wan2.2:  15%|#######7                                            | 747/5000 [20:01<2:51:21,  2.42s/it, lr: 1.0e-04 loss: 5.532e-02]
lana-lora-wan2.2:  15%|#######7                                            | 747/5000 [20:01<2:51:21,  2.42s/it, lr: 1.0e-04 loss: 5.532e-02]
lana-lora-wan2.2:  15%|#######7                                            | 748/5000 [20:03<2:51:17,  2.42s/it, lr: 1.0e-04 loss: 4.948e-02]
lana-lora-wan2.2:  15%|#######7                                            | 748/5000 [20:03<2:51:17,  2.42s/it, lr: 1.0e-04 loss: 4.948e-02]
lana-lora-wan2.2:  15%|#######7                                            | 749/5000 [20:07<2:51:25,  2.42s/it, lr: 1.0e-04 loss: 1.172e-01]
lana-lora-wan2.2:  15%|#######7                                            | 749/5000 [20:07<2:51:25,  2.42s/it, lr: 1.0e-04 loss: 1.172e-01]
+Saving at step 750
+Saved checkpoint to /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000000750.safetensors
+Saved optimizer to /root/lab/ai-toolkit/output/lana-lora-wan2.2/optimizer.pt
+
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lana-lora-wan2.2:  18%|#########1                                          | 884/5000 [25:28<2:45:22,  2.41s/it, lr: 1.0e-04 loss: 9.713e-02]
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lana-lora-wan2.2:  18%|#########2                                          | 885/5000 [25:29<2:45:12,  2.41s/it, lr: 1.0e-04 loss: 2.747e-02]
lana-lora-wan2.2:  18%|#########2                                          | 885/5000 [25:29<2:45:12,  2.41s/it, lr: 1.0e-04 loss: 2.747e-02]
lana-lora-wan2.2:  18%|#########2                                          | 886/5000 [25:33<2:45:17,  2.41s/it, lr: 1.0e-04 loss: 2.190e-01]
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lana-lora-wan2.2:  18%|#########2                                          | 887/5000 [25:35<2:45:13,  2.41s/it, lr: 1.0e-04 loss: 4.445e-02]
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lana-lora-wan2.2:  18%|#########2                                          | 888/5000 [25:36<2:45:03,  2.41s/it, lr: 1.0e-04 loss: 4.567e-02]
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lana-lora-wan2.2:  18%|#########2                                          | 889/5000 [25:40<2:45:09,  2.41s/it, lr: 1.0e-04 loss: 2.982e-02]
lana-lora-wan2.2:  18%|#########2                                          | 889/5000 [25:40<2:45:09,  2.41s/it, lr: 1.0e-04 loss: 2.982e-02]
lana-lora-wan2.2:  18%|#########2                                          | 890/5000 [25:41<2:45:01,  2.41s/it, lr: 1.0e-04 loss: 6.728e-02]
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lana-lora-wan2.2:  18%|#########3                                          | 900/5000 [26:04<2:44:27,  2.41s/it, lr: 1.0e-04 loss: 4.557e-02]
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lana-lora-wan2.2:  18%|#########3                                          | 901/5000 [26:08<2:44:33,  2.41s/it, lr: 1.0e-04 loss: 3.820e-02]
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lana-lora-wan2.2:  18%|#########3                                          | 902/5000 [26:12<2:44:42,  2.41s/it, lr: 1.0e-04 loss: 3.018e-02]
lana-lora-wan2.2:  18%|#########3                                          | 903/5000 [26:16<2:44:48,  2.41s/it, lr: 1.0e-04 loss: 2.749e-02]
lana-lora-wan2.2:  18%|#########3                                          | 903/5000 [26:16<2:44:48,  2.41s/it, lr: 1.0e-04 loss: 2.749e-02]
lana-lora-wan2.2:  18%|#########4                                          | 904/5000 [26:17<2:44:38,  2.41s/it, lr: 1.0e-04 loss: 5.967e-02]
lana-lora-wan2.2:  18%|#########4                                          | 904/5000 [26:17<2:44:38,  2.41s/it, lr: 1.0e-04 loss: 5.967e-02]
lana-lora-wan2.2:  18%|#########4                                          | 905/5000 [26:18<2:44:28,  2.41s/it, lr: 1.0e-04 loss: 8.693e-02]
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lana-lora-wan2.2:  18%|#########4                                          | 906/5000 [26:19<2:44:18,  2.41s/it, lr: 1.0e-04 loss: 5.553e-02]
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lana-lora-wan2.2:  18%|#########4                                          | 907/5000 [26:23<2:44:25,  2.41s/it, lr: 1.0e-04 loss: 6.249e-02]
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lana-lora-wan2.2:  18%|#########4                                          | 908/5000 [26:27<2:44:31,  2.41s/it, lr: 1.0e-04 loss: 4.847e-02]
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lana-lora-wan2.2:  18%|#########4                                          | 909/5000 [26:28<2:44:21,  2.41s/it, lr: 1.0e-04 loss: 3.544e-02]
lana-lora-wan2.2:  18%|#########4                                          | 909/5000 [26:28<2:44:21,  2.41s/it, lr: 1.0e-04 loss: 3.544e-02]
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lana-lora-wan2.2:  18%|#########4                                          | 911/5000 [26:35<2:44:31,  2.41s/it, lr: 1.0e-04 loss: 3.298e-02]
lana-lora-wan2.2:  18%|#########4                                          | 911/5000 [26:35<2:44:31,  2.41s/it, lr: 1.0e-04 loss: 3.298e-02]
lana-lora-wan2.2:  18%|#########4                                          | 912/5000 [26:39<2:44:36,  2.42s/it, lr: 1.0e-04 loss: 1.184e-01]
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lana-lora-wan2.2:  18%|#########4                                          | 913/5000 [26:41<2:44:34,  2.42s/it, lr: 1.0e-04 loss: 6.406e-02]
lana-lora-wan2.2:  18%|#########4                                          | 913/5000 [26:41<2:44:34,  2.42s/it, lr: 1.0e-04 loss: 6.406e-02]
lana-lora-wan2.2:  18%|#########5                                          | 914/5000 [26:44<2:44:30,  2.42s/it, lr: 1.0e-04 loss: 4.932e-02]
lana-lora-wan2.2:  18%|#########5                                          | 914/5000 [26:44<2:44:30,  2.42s/it, lr: 1.0e-04 loss: 4.932e-02]
lana-lora-wan2.2:  18%|#########5                                          | 915/5000 [26:47<2:44:36,  2.42s/it, lr: 1.0e-04 loss: 2.385e-02]
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lana-lora-wan2.2:  18%|#########5                                          | 916/5000 [26:51<2:44:41,  2.42s/it, lr: 1.0e-04 loss: 9.227e-02]
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lana-lora-wan2.2:  18%|#########5                                          | 919/5000 [26:56<2:44:19,  2.42s/it, lr: 1.0e-04 loss: 9.983e-02]
lana-lora-wan2.2:  18%|#########5                                          | 919/5000 [26:56<2:44:19,  2.42s/it, lr: 1.0e-04 loss: 9.983e-02]
lana-lora-wan2.2:  18%|#########5                                          | 920/5000 [26:59<2:44:25,  2.42s/it, lr: 1.0e-04 loss: 3.840e-02]
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lana-lora-wan2.2:  18%|#########5                                          | 922/5000 [27:04<2:44:20,  2.42s/it, lr: 1.0e-04 loss: 5.103e-02]
lana-lora-wan2.2:  18%|#########5                                          | 922/5000 [27:04<2:44:20,  2.42s/it, lr: 1.0e-04 loss: 5.103e-02]
lana-lora-wan2.2:  18%|#########5                                          | 923/5000 [27:08<2:44:25,  2.42s/it, lr: 1.0e-04 loss: 4.727e-02]
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lana-lora-wan2.2:  18%|#########6                                          | 924/5000 [27:10<2:44:21,  2.42s/it, lr: 1.0e-04 loss: 3.442e-02]
lana-lora-wan2.2:  18%|#########6                                          | 924/5000 [27:10<2:44:21,  2.42s/it, lr: 1.0e-04 loss: 3.442e-02]
lana-lora-wan2.2:  18%|#########6                                          | 925/5000 [27:13<2:44:19,  2.42s/it, lr: 1.0e-04 loss: 6.101e-02]
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lana-lora-wan2.2:  19%|#########6                                          | 926/5000 [27:15<2:44:16,  2.42s/it, lr: 1.0e-04 loss: 4.673e-02]
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lana-lora-wan2.2:  19%|#########7                                          | 936/5000 [27:40<2:43:58,  2.42s/it, lr: 1.0e-04 loss: 4.107e-02]
lana-lora-wan2.2:  19%|#########7                                          | 936/5000 [27:40<2:43:58,  2.42s/it, lr: 1.0e-04 loss: 4.107e-02]
lana-lora-wan2.2:  19%|#########7                                          | 937/5000 [27:41<2:43:48,  2.42s/it, lr: 1.0e-04 loss: 6.858e-02]
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lana-lora-wan2.2:  19%|#########7                                          | 938/5000 [27:45<2:43:53,  2.42s/it, lr: 1.0e-04 loss: 3.435e-02]
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lana-lora-wan2.2:  19%|#########8                                          | 946/5000 [28:04<2:43:30,  2.42s/it, lr: 1.0e-04 loss: 3.866e-02]
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lana-lora-wan2.2:  19%|#########8                                          | 948/5000 [28:06<2:43:12,  2.42s/it, lr: 1.0e-04 loss: 1.002e-01]
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lana-lora-wan2.2:  19%|#########8                                          | 949/5000 [28:10<2:43:17,  2.42s/it, lr: 1.0e-04 loss: 7.752e-02]
lana-lora-wan2.2:  19%|#########8                                          | 949/5000 [28:10<2:43:17,  2.42s/it, lr: 1.0e-04 loss: 7.752e-02]
lana-lora-wan2.2:  19%|#########8                                          | 950/5000 [28:12<2:43:13,  2.42s/it, lr: 1.0e-04 loss: 3.610e-02]
lana-lora-wan2.2:  19%|#########8                                          | 950/5000 [28:12<2:43:13,  2.42s/it, lr: 1.0e-04 loss: 3.610e-02]
lana-lora-wan2.2:  19%|#########8                                          | 951/5000 [28:14<2:43:09,  2.42s/it, lr: 1.0e-04 loss: 7.663e-02]
lana-lora-wan2.2:  19%|#########8                                          | 951/5000 [28:14<2:43:09,  2.42s/it, lr: 1.0e-04 loss: 7.663e-02]
lana-lora-wan2.2:  19%|#########9                                          | 952/5000 [28:18<2:43:14,  2.42s/it, lr: 1.0e-04 loss: 1.922e-01]
lana-lora-wan2.2:  19%|#########9                                          | 952/5000 [28:18<2:43:14,  2.42s/it, lr: 1.0e-04 loss: 1.922e-01]
lana-lora-wan2.2:  19%|#########9                                          | 953/5000 [28:19<2:43:05,  2.42s/it, lr: 1.0e-04 loss: 1.127e-01]
lana-lora-wan2.2:  19%|#########9                                          | 953/5000 [28:19<2:43:05,  2.42s/it, lr: 1.0e-04 loss: 1.127e-01]
lana-lora-wan2.2:  19%|#########9                                          | 954/5000 [28:21<2:42:57,  2.42s/it, lr: 1.0e-04 loss: 3.836e-02]
lana-lora-wan2.2:  19%|#########9                                          | 954/5000 [28:21<2:42:57,  2.42s/it, lr: 1.0e-04 loss: 3.836e-02]
lana-lora-wan2.2:  19%|#########9                                          | 955/5000 [28:23<2:42:53,  2.42s/it, lr: 1.0e-04 loss: 3.530e-02]
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lana-lora-wan2.2:  19%|#########9                                          | 959/5000 [28:34<2:42:49,  2.42s/it, lr: 1.0e-04 loss: 4.153e-02]
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lana-lora-wan2.2:  19%|#########9                                          | 961/5000 [28:39<2:42:46,  2.42s/it, lr: 1.0e-04 loss: 6.916e-02]
lana-lora-wan2.2:  19%|#########9                                          | 961/5000 [28:39<2:42:46,  2.42s/it, lr: 1.0e-04 loss: 6.916e-02]
lana-lora-wan2.2:  19%|##########                                          | 962/5000 [28:40<2:42:37,  2.42s/it, lr: 1.0e-04 loss: 6.255e-02]
lana-lora-wan2.2:  19%|##########                                          | 962/5000 [28:40<2:42:37,  2.42s/it, lr: 1.0e-04 loss: 6.255e-02]
lana-lora-wan2.2:  19%|##########                                          | 963/5000 [28:44<2:42:41,  2.42s/it, lr: 1.0e-04 loss: 8.455e-02]
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lana-lora-wan2.2:  19%|##########                                          | 964/5000 [28:46<2:42:37,  2.42s/it, lr: 1.0e-04 loss: 2.952e-02]
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lana-lora-wan2.2:  19%|##########                                          | 965/5000 [28:47<2:42:28,  2.42s/it, lr: 1.0e-04 loss: 7.657e-02]
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lana-lora-wan2.2:  19%|##########                                          | 966/5000 [28:48<2:42:21,  2.41s/it, lr: 1.0e-04 loss: 4.487e-02]
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lana-lora-wan2.2:  19%|##########                                          | 967/5000 [28:50<2:42:11,  2.41s/it, lr: 1.0e-04 loss: 3.896e-02]
lana-lora-wan2.2:  19%|##########                                          | 967/5000 [28:50<2:42:11,  2.41s/it, lr: 1.0e-04 loss: 3.896e-02]
lana-lora-wan2.2:  19%|##########                                          | 968/5000 [28:52<2:42:08,  2.41s/it, lr: 1.0e-04 loss: 2.285e-01]
lana-lora-wan2.2:  19%|##########                                          | 968/5000 [28:52<2:42:08,  2.41s/it, lr: 1.0e-04 loss: 2.285e-01]
lana-lora-wan2.2:  19%|##########                                          | 969/5000 [28:54<2:42:04,  2.41s/it, lr: 1.0e-04 loss: 2.921e-02]
lana-lora-wan2.2:  19%|##########                                          | 969/5000 [28:54<2:42:04,  2.41s/it, lr: 1.0e-04 loss: 2.921e-02]
lana-lora-wan2.2:  19%|##########                                          | 970/5000 [28:58<2:42:08,  2.41s/it, lr: 1.0e-04 loss: 2.870e-02]
lana-lora-wan2.2:  19%|##########                                          | 970/5000 [28:58<2:42:08,  2.41s/it, lr: 1.0e-04 loss: 2.870e-02]
lana-lora-wan2.2:  19%|##########                                          | 971/5000 [29:00<2:42:05,  2.41s/it, lr: 1.0e-04 loss: 3.054e-02]
lana-lora-wan2.2:  19%|##########                                          | 971/5000 [29:00<2:42:05,  2.41s/it, lr: 1.0e-04 loss: 3.054e-02]
lana-lora-wan2.2:  19%|##########1                                         | 972/5000 [29:02<2:42:02,  2.41s/it, lr: 1.0e-04 loss: 3.614e-02]
lana-lora-wan2.2:  19%|##########1                                         | 972/5000 [29:02<2:42:02,  2.41s/it, lr: 1.0e-04 loss: 3.614e-02]
lana-lora-wan2.2:  19%|##########1                                         | 973/5000 [29:06<2:42:07,  2.42s/it, lr: 1.0e-04 loss: 5.791e-02]
lana-lora-wan2.2:  19%|##########1                                         | 973/5000 [29:06<2:42:07,  2.42s/it, lr: 1.0e-04 loss: 5.791e-02]
lana-lora-wan2.2:  19%|##########1                                         | 974/5000 [29:07<2:41:58,  2.41s/it, lr: 1.0e-04 loss: 5.421e-02]
lana-lora-wan2.2:  19%|##########1                                         | 974/5000 [29:07<2:41:58,  2.41s/it, lr: 1.0e-04 loss: 5.421e-02]
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lana-lora-wan2.2:  20%|##########2                                         | 986/5000 [29:31<2:41:02,  2.41s/it, lr: 1.0e-04 loss: 5.919e-02]
lana-lora-wan2.2:  20%|##########2                                         | 986/5000 [29:31<2:41:02,  2.41s/it, lr: 1.0e-04 loss: 5.919e-02]
lana-lora-wan2.2:  20%|##########2                                         | 987/5000 [29:32<2:40:53,  2.41s/it, lr: 1.0e-04 loss: 1.043e-01]
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lana-lora-wan2.2:  20%|##########2                                         | 988/5000 [29:35<2:40:49,  2.41s/it, lr: 1.0e-04 loss: 4.567e-02]
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lana-lora-wan2.2:  20%|##########2                                         | 989/5000 [29:36<2:40:40,  2.40s/it, lr: 1.0e-04 loss: 5.265e-02]
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lana-lora-wan2.2:  20%|##########3                                         | 991/5000 [29:41<2:40:37,  2.40s/it, lr: 1.0e-04 loss: 6.006e-02]
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lana-lora-wan2.2:  20%|##########3                                         | 993/5000 [29:46<2:40:33,  2.40s/it, lr: 1.0e-04 loss: 9.027e-02]
lana-lora-wan2.2:  20%|##########3                                         | 993/5000 [29:46<2:40:33,  2.40s/it, lr: 1.0e-04 loss: 9.027e-02]
lana-lora-wan2.2:  20%|##########3                                         | 994/5000 [29:48<2:40:29,  2.40s/it, lr: 1.0e-04 loss: 4.022e-02]
lana-lora-wan2.2:  20%|##########3                                         | 994/5000 [29:48<2:40:29,  2.40s/it, lr: 1.0e-04 loss: 4.022e-02]
lana-lora-wan2.2:  20%|##########3                                         | 995/5000 [29:50<2:40:25,  2.40s/it, lr: 1.0e-04 loss: 5.960e-02]
lana-lora-wan2.2:  20%|##########3                                         | 995/5000 [29:50<2:40:25,  2.40s/it, lr: 1.0e-04 loss: 5.960e-02]
lana-lora-wan2.2:  20%|##########3                                         | 996/5000 [29:54<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 3.449e-02]
lana-lora-wan2.2:  20%|##########3                                         | 996/5000 [29:54<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 3.449e-02]
lana-lora-wan2.2:  20%|##########3                                         | 997/5000 [29:58<2:40:36,  2.41s/it, lr: 1.0e-04 loss: 2.928e-02]
lana-lora-wan2.2:  20%|##########3                                         | 997/5000 [29:58<2:40:36,  2.41s/it, lr: 1.0e-04 loss: 2.928e-02]
lana-lora-wan2.2:  20%|##########3                                         | 998/5000 [29:59<2:40:27,  2.41s/it, lr: 1.0e-04 loss: 1.387e-01]
lana-lora-wan2.2:  20%|##########3                                         | 998/5000 [29:59<2:40:27,  2.41s/it, lr: 1.0e-04 loss: 1.387e-01]
lana-lora-wan2.2:  20%|##########3                                         | 999/5000 [30:03<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 2.474e-01]
lana-lora-wan2.2:  20%|##########3                                         | 999/5000 [30:03<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 2.474e-01]
+Saving at step 1000
+Saved checkpoint to /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000001000.safetensors
+Saved optimizer to /root/lab/ai-toolkit/output/lana-lora-wan2.2/optimizer.pt
+
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lana-lora-wan2.2:  20%|##########2                                        | 1000/5000 [30:06<2:40:36,  2.41s/it, lr: 1.0e-04 loss: 3.773e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1000/5000 [30:06<2:40:36,  2.41s/it, lr: 1.0e-04 loss: 3.773e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1001/5000 [30:10<2:40:41,  2.41s/it, lr: 1.0e-04 loss: 7.513e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1001/5000 [30:10<2:40:41,  2.41s/it, lr: 1.0e-04 loss: 7.513e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1002/5000 [30:14<2:40:45,  2.41s/it, lr: 1.0e-04 loss: 1.540e-01]
lana-lora-wan2.2:  20%|##########2                                        | 1002/5000 [30:14<2:40:45,  2.41s/it, lr: 1.0e-04 loss: 1.540e-01]
lana-lora-wan2.2:  20%|##########2                                        | 1003/5000 [30:17<2:40:49,  2.41s/it, lr: 1.0e-04 loss: 4.861e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1003/5000 [30:17<2:40:49,  2.41s/it, lr: 1.0e-04 loss: 4.861e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1004/5000 [30:21<2:40:53,  2.42s/it, lr: 1.0e-04 loss: 3.249e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1004/5000 [30:21<2:40:53,  2.42s/it, lr: 1.0e-04 loss: 3.249e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1005/5000 [30:24<2:40:51,  2.42s/it, lr: 1.0e-04 loss: 7.875e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1005/5000 [30:24<2:40:51,  2.42s/it, lr: 1.0e-04 loss: 7.875e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1006/5000 [30:26<2:40:47,  2.42s/it, lr: 1.0e-04 loss: 8.894e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1006/5000 [30:26<2:40:47,  2.42s/it, lr: 1.0e-04 loss: 8.894e-02]
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lana-lora-wan2.2:  20%|##########2                                        | 1007/5000 [30:28<2:40:44,  2.42s/it, lr: 1.0e-04 loss: 7.399e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1008/5000 [30:29<2:40:35,  2.41s/it, lr: 1.0e-04 loss: 3.624e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1008/5000 [30:29<2:40:35,  2.41s/it, lr: 1.0e-04 loss: 3.624e-02]
lana-lora-wan2.2:  20%|##########2                                        | 1009/5000 [30:31<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 1.089e-01]
lana-lora-wan2.2:  20%|##########2                                        | 1009/5000 [30:31<2:40:31,  2.41s/it, lr: 1.0e-04 loss: 1.089e-01]
lana-lora-wan2.2:  20%|##########3                                        | 1010/5000 [30:33<2:40:27,  2.41s/it, lr: 1.0e-04 loss: 3.251e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1010/5000 [30:33<2:40:27,  2.41s/it, lr: 1.0e-04 loss: 3.251e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1011/5000 [30:35<2:40:20,  2.41s/it, lr: 1.0e-04 loss: 3.821e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1011/5000 [30:35<2:40:20,  2.41s/it, lr: 1.0e-04 loss: 3.821e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1012/5000 [30:36<2:40:12,  2.41s/it, lr: 1.0e-04 loss: 1.105e-01]
lana-lora-wan2.2:  20%|##########3                                        | 1012/5000 [30:36<2:40:12,  2.41s/it, lr: 1.0e-04 loss: 1.105e-01]
lana-lora-wan2.2:  20%|##########3                                        | 1013/5000 [30:40<2:40:16,  2.41s/it, lr: 1.0e-04 loss: 3.632e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1013/5000 [30:40<2:40:16,  2.41s/it, lr: 1.0e-04 loss: 3.632e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1014/5000 [30:41<2:40:07,  2.41s/it, lr: 1.0e-04 loss: 8.635e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1014/5000 [30:41<2:40:07,  2.41s/it, lr: 1.0e-04 loss: 8.635e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1015/5000 [30:45<2:40:11,  2.41s/it, lr: 1.0e-04 loss: 3.410e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1015/5000 [30:45<2:40:11,  2.41s/it, lr: 1.0e-04 loss: 3.410e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1016/5000 [30:47<2:40:07,  2.41s/it, lr: 1.0e-04 loss: 4.941e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1016/5000 [30:47<2:40:07,  2.41s/it, lr: 1.0e-04 loss: 4.941e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1017/5000 [30:48<2:40:00,  2.41s/it, lr: 1.0e-04 loss: 6.429e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1017/5000 [30:48<2:40:00,  2.41s/it, lr: 1.0e-04 loss: 6.429e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1018/5000 [30:49<2:39:51,  2.41s/it, lr: 1.0e-04 loss: 5.767e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1018/5000 [30:49<2:39:51,  2.41s/it, lr: 1.0e-04 loss: 5.767e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1019/5000 [30:53<2:39:56,  2.41s/it, lr: 1.0e-04 loss: 2.257e-02]
lana-lora-wan2.2:  20%|##########3                                        | 1019/5000 [30:53<2:39:56,  2.41s/it, lr: 1.0e-04 loss: 2.257e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1020/5000 [30:57<2:40:00,  2.41s/it, lr: 1.0e-04 loss: 1.279e-01]
lana-lora-wan2.2:  20%|##########4                                        | 1020/5000 [30:57<2:40:00,  2.41s/it, lr: 1.0e-04 loss: 1.279e-01]
lana-lora-wan2.2:  20%|##########4                                        | 1021/5000 [30:59<2:39:56,  2.41s/it, lr: 1.0e-04 loss: 8.614e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1021/5000 [30:59<2:39:56,  2.41s/it, lr: 1.0e-04 loss: 8.614e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1022/5000 [31:00<2:39:47,  2.41s/it, lr: 1.0e-04 loss: 8.000e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1022/5000 [31:00<2:39:47,  2.41s/it, lr: 1.0e-04 loss: 8.000e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1023/5000 [31:02<2:39:40,  2.41s/it, lr: 1.0e-04 loss: 6.720e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1023/5000 [31:02<2:39:40,  2.41s/it, lr: 1.0e-04 loss: 6.720e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1024/5000 [31:04<2:39:37,  2.41s/it, lr: 1.0e-04 loss: 1.415e-01]
lana-lora-wan2.2:  20%|##########4                                        | 1024/5000 [31:04<2:39:37,  2.41s/it, lr: 1.0e-04 loss: 1.415e-01]
lana-lora-wan2.2:  20%|##########4                                        | 1025/5000 [31:08<2:39:41,  2.41s/it, lr: 1.0e-04 loss: 4.235e-02]
lana-lora-wan2.2:  20%|##########4                                        | 1025/5000 [31:08<2:39:41,  2.41s/it, lr: 1.0e-04 loss: 4.235e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1026/5000 [31:09<2:39:32,  2.41s/it, lr: 1.0e-04 loss: 3.266e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1026/5000 [31:09<2:39:32,  2.41s/it, lr: 1.0e-04 loss: 3.266e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1027/5000 [31:12<2:39:36,  2.41s/it, lr: 1.0e-04 loss: 4.712e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1027/5000 [31:12<2:39:36,  2.41s/it, lr: 1.0e-04 loss: 4.712e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1028/5000 [31:16<2:39:40,  2.41s/it, lr: 1.0e-04 loss: 3.921e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1028/5000 [31:16<2:39:40,  2.41s/it, lr: 1.0e-04 loss: 3.921e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1029/5000 [31:18<2:39:37,  2.41s/it, lr: 1.0e-04 loss: 9.959e-02]
lana-lora-wan2.2:  21%|##########4                                        | 1029/5000 [31:18<2:39:37,  2.41s/it, lr: 1.0e-04 loss: 9.959e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1030/5000 [31:21<2:39:34,  2.41s/it, lr: 1.0e-04 loss: 4.110e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1030/5000 [31:21<2:39:34,  2.41s/it, lr: 1.0e-04 loss: 4.110e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1031/5000 [31:22<2:39:25,  2.41s/it, lr: 1.0e-04 loss: 4.887e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1031/5000 [31:22<2:39:25,  2.41s/it, lr: 1.0e-04 loss: 4.887e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1032/5000 [31:25<2:39:29,  2.41s/it, lr: 1.0e-04 loss: 3.905e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1032/5000 [31:25<2:39:29,  2.41s/it, lr: 1.0e-04 loss: 3.905e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1033/5000 [31:28<2:39:25,  2.41s/it, lr: 1.0e-04 loss: 8.682e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1033/5000 [31:28<2:39:25,  2.41s/it, lr: 1.0e-04 loss: 8.682e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1034/5000 [31:29<2:39:17,  2.41s/it, lr: 1.0e-04 loss: 2.465e-01]
lana-lora-wan2.2:  21%|##########5                                        | 1034/5000 [31:29<2:39:17,  2.41s/it, lr: 1.0e-04 loss: 2.465e-01]
lana-lora-wan2.2:  21%|##########5                                        | 1035/5000 [31:33<2:39:22,  2.41s/it, lr: 1.0e-04 loss: 3.887e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1035/5000 [31:33<2:39:22,  2.41s/it, lr: 1.0e-04 loss: 3.887e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1036/5000 [31:34<2:39:13,  2.41s/it, lr: 1.0e-04 loss: 7.066e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1036/5000 [31:34<2:39:13,  2.41s/it, lr: 1.0e-04 loss: 7.066e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1037/5000 [31:35<2:39:05,  2.41s/it, lr: 1.0e-04 loss: 5.197e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1037/5000 [31:35<2:39:05,  2.41s/it, lr: 1.0e-04 loss: 5.197e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1038/5000 [31:39<2:39:09,  2.41s/it, lr: 1.0e-04 loss: 3.638e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1038/5000 [31:39<2:39:09,  2.41s/it, lr: 1.0e-04 loss: 3.638e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1039/5000 [31:40<2:39:00,  2.41s/it, lr: 1.0e-04 loss: 4.543e-02]
lana-lora-wan2.2:  21%|##########5                                        | 1039/5000 [31:40<2:39:00,  2.41s/it, lr: 1.0e-04 loss: 4.543e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1040/5000 [31:41<2:38:53,  2.41s/it, lr: 1.0e-04 loss: 3.369e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1040/5000 [31:41<2:38:53,  2.41s/it, lr: 1.0e-04 loss: 3.369e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1041/5000 [31:43<2:38:44,  2.41s/it, lr: 1.0e-04 loss: 5.222e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1041/5000 [31:43<2:38:44,  2.41s/it, lr: 1.0e-04 loss: 5.222e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1042/5000 [31:45<2:38:41,  2.41s/it, lr: 1.0e-04 loss: 4.217e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1042/5000 [31:45<2:38:41,  2.41s/it, lr: 1.0e-04 loss: 4.217e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1043/5000 [31:48<2:38:44,  2.41s/it, lr: 1.0e-04 loss: 3.579e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1043/5000 [31:48<2:38:44,  2.41s/it, lr: 1.0e-04 loss: 3.579e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1044/5000 [31:52<2:38:48,  2.41s/it, lr: 1.0e-04 loss: 5.408e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1044/5000 [31:52<2:38:48,  2.41s/it, lr: 1.0e-04 loss: 5.408e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1045/5000 [31:54<2:38:45,  2.41s/it, lr: 1.0e-04 loss: 3.217e-01]
lana-lora-wan2.2:  21%|##########6                                        | 1045/5000 [31:54<2:38:45,  2.41s/it, lr: 1.0e-04 loss: 3.217e-01]
lana-lora-wan2.2:  21%|##########6                                        | 1046/5000 [31:57<2:38:43,  2.41s/it, lr: 1.0e-04 loss: 4.837e-01]
lana-lora-wan2.2:  21%|##########6                                        | 1046/5000 [31:57<2:38:43,  2.41s/it, lr: 1.0e-04 loss: 4.837e-01]
lana-lora-wan2.2:  21%|##########6                                        | 1047/5000 [32:00<2:38:46,  2.41s/it, lr: 1.0e-04 loss: 5.784e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1047/5000 [32:00<2:38:46,  2.41s/it, lr: 1.0e-04 loss: 5.784e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1048/5000 [32:02<2:38:38,  2.41s/it, lr: 1.0e-04 loss: 5.016e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1048/5000 [32:02<2:38:38,  2.41s/it, lr: 1.0e-04 loss: 5.016e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1049/5000 [32:04<2:38:34,  2.41s/it, lr: 1.0e-04 loss: 3.493e-02]
lana-lora-wan2.2:  21%|##########6                                        | 1049/5000 [32:04<2:38:34,  2.41s/it, lr: 1.0e-04 loss: 3.493e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1050/5000 [32:06<2:38:31,  2.41s/it, lr: 1.0e-04 loss: 9.235e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1050/5000 [32:06<2:38:31,  2.41s/it, lr: 1.0e-04 loss: 9.235e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1051/5000 [32:10<2:38:35,  2.41s/it, lr: 1.0e-04 loss: 3.031e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1051/5000 [32:10<2:38:35,  2.41s/it, lr: 1.0e-04 loss: 3.031e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1052/5000 [32:11<2:38:28,  2.41s/it, lr: 1.0e-04 loss: 3.273e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1052/5000 [32:11<2:38:28,  2.41s/it, lr: 1.0e-04 loss: 3.273e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1053/5000 [32:12<2:38:19,  2.41s/it, lr: 1.0e-04 loss: 3.029e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1053/5000 [32:12<2:38:19,  2.41s/it, lr: 1.0e-04 loss: 3.029e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1054/5000 [32:14<2:38:16,  2.41s/it, lr: 1.0e-04 loss: 3.190e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1054/5000 [32:14<2:38:16,  2.41s/it, lr: 1.0e-04 loss: 3.190e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1055/5000 [32:18<2:38:19,  2.41s/it, lr: 1.0e-04 loss: 3.048e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1055/5000 [32:18<2:38:19,  2.41s/it, lr: 1.0e-04 loss: 3.048e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1056/5000 [32:20<2:38:16,  2.41s/it, lr: 1.0e-04 loss: 2.568e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1056/5000 [32:20<2:38:16,  2.41s/it, lr: 1.0e-04 loss: 2.568e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1057/5000 [32:24<2:38:20,  2.41s/it, lr: 1.0e-04 loss: 3.265e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1057/5000 [32:24<2:38:20,  2.41s/it, lr: 1.0e-04 loss: 3.265e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1058/5000 [32:26<2:38:17,  2.41s/it, lr: 1.0e-04 loss: 4.354e-02]
lana-lora-wan2.2:  21%|##########7                                        | 1058/5000 [32:26<2:38:17,  2.41s/it, lr: 1.0e-04 loss: 4.354e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1059/5000 [32:28<2:38:14,  2.41s/it, lr: 1.0e-04 loss: 4.419e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1059/5000 [32:28<2:38:14,  2.41s/it, lr: 1.0e-04 loss: 4.419e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1060/5000 [32:30<2:38:05,  2.41s/it, lr: 1.0e-04 loss: 8.090e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1060/5000 [32:30<2:38:05,  2.41s/it, lr: 1.0e-04 loss: 8.090e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1061/5000 [32:32<2:38:02,  2.41s/it, lr: 1.0e-04 loss: 2.161e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1061/5000 [32:32<2:38:02,  2.41s/it, lr: 1.0e-04 loss: 2.161e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1062/5000 [32:34<2:37:58,  2.41s/it, lr: 1.0e-04 loss: 3.890e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1062/5000 [32:34<2:37:58,  2.41s/it, lr: 1.0e-04 loss: 3.890e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1063/5000 [32:35<2:37:50,  2.41s/it, lr: 1.0e-04 loss: 1.107e-01]
lana-lora-wan2.2:  21%|##########8                                        | 1063/5000 [32:35<2:37:50,  2.41s/it, lr: 1.0e-04 loss: 1.107e-01]
lana-lora-wan2.2:  21%|##########8                                        | 1064/5000 [32:37<2:37:43,  2.40s/it, lr: 1.0e-04 loss: 6.998e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1064/5000 [32:37<2:37:43,  2.40s/it, lr: 1.0e-04 loss: 6.998e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1065/5000 [32:38<2:37:35,  2.40s/it, lr: 1.0e-04 loss: 5.835e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1065/5000 [32:38<2:37:35,  2.40s/it, lr: 1.0e-04 loss: 5.835e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1066/5000 [32:41<2:37:38,  2.40s/it, lr: 1.0e-04 loss: 9.077e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1066/5000 [32:41<2:37:38,  2.40s/it, lr: 1.0e-04 loss: 9.077e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1067/5000 [32:45<2:37:42,  2.41s/it, lr: 1.0e-04 loss: 5.021e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1067/5000 [32:45<2:37:42,  2.41s/it, lr: 1.0e-04 loss: 5.021e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1068/5000 [32:49<2:37:45,  2.41s/it, lr: 1.0e-04 loss: 3.022e-02]
lana-lora-wan2.2:  21%|##########8                                        | 1068/5000 [32:49<2:37:45,  2.41s/it, lr: 1.0e-04 loss: 3.022e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1069/5000 [32:51<2:37:42,  2.41s/it, lr: 1.0e-04 loss: 2.523e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1069/5000 [32:51<2:37:42,  2.41s/it, lr: 1.0e-04 loss: 2.523e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1070/5000 [32:53<2:37:40,  2.41s/it, lr: 1.0e-04 loss: 8.091e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1070/5000 [32:53<2:37:40,  2.41s/it, lr: 1.0e-04 loss: 8.091e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1071/5000 [32:56<2:37:36,  2.41s/it, lr: 1.0e-04 loss: 5.916e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1071/5000 [32:56<2:37:36,  2.41s/it, lr: 1.0e-04 loss: 5.916e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1072/5000 [32:59<2:37:40,  2.41s/it, lr: 1.0e-04 loss: 5.908e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1072/5000 [32:59<2:37:40,  2.41s/it, lr: 1.0e-04 loss: 5.908e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1073/5000 [33:00<2:37:31,  2.41s/it, lr: 1.0e-04 loss: 6.624e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1073/5000 [33:00<2:37:31,  2.41s/it, lr: 1.0e-04 loss: 6.624e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1074/5000 [33:04<2:37:35,  2.41s/it, lr: 1.0e-04 loss: 3.124e-02]
lana-lora-wan2.2:  21%|##########9                                        | 1074/5000 [33:04<2:37:35,  2.41s/it, lr: 1.0e-04 loss: 3.124e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1075/5000 [33:07<2:37:33,  2.41s/it, lr: 1.0e-04 loss: 5.316e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1075/5000 [33:07<2:37:33,  2.41s/it, lr: 1.0e-04 loss: 5.316e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1076/5000 [33:09<2:37:30,  2.41s/it, lr: 1.0e-04 loss: 2.607e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1076/5000 [33:09<2:37:30,  2.41s/it, lr: 1.0e-04 loss: 2.607e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1077/5000 [33:10<2:37:21,  2.41s/it, lr: 1.0e-04 loss: 4.902e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1077/5000 [33:10<2:37:21,  2.41s/it, lr: 1.0e-04 loss: 4.902e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1078/5000 [33:12<2:37:18,  2.41s/it, lr: 1.0e-04 loss: 4.454e-02]
lana-lora-wan2.2:  22%|##########9                                        | 1078/5000 [33:12<2:37:18,  2.41s/it, lr: 1.0e-04 loss: 4.454e-02]
lana-lora-wan2.2:  22%|###########                                        | 1079/5000 [33:13<2:37:10,  2.41s/it, lr: 1.0e-04 loss: 5.388e-02]
lana-lora-wan2.2:  22%|###########                                        | 1079/5000 [33:13<2:37:10,  2.41s/it, lr: 1.0e-04 loss: 5.388e-02]
lana-lora-wan2.2:  22%|###########                                        | 1080/5000 [33:14<2:37:01,  2.40s/it, lr: 1.0e-04 loss: 9.025e-02]
lana-lora-wan2.2:  22%|###########                                        | 1080/5000 [33:14<2:37:01,  2.40s/it, lr: 1.0e-04 loss: 9.025e-02]
lana-lora-wan2.2:  22%|###########                                        | 1081/5000 [33:17<2:36:59,  2.40s/it, lr: 1.0e-04 loss: 1.560e-01]
lana-lora-wan2.2:  22%|###########                                        | 1081/5000 [33:17<2:36:59,  2.40s/it, lr: 1.0e-04 loss: 1.560e-01]
lana-lora-wan2.2:  22%|###########                                        | 1082/5000 [33:19<2:36:56,  2.40s/it, lr: 1.0e-04 loss: 1.305e-01]
lana-lora-wan2.2:  22%|###########                                        | 1082/5000 [33:19<2:36:56,  2.40s/it, lr: 1.0e-04 loss: 1.305e-01]
lana-lora-wan2.2:  22%|###########                                        | 1083/5000 [33:21<2:36:52,  2.40s/it, lr: 1.0e-04 loss: 4.264e-02]
lana-lora-wan2.2:  22%|###########                                        | 1083/5000 [33:21<2:36:52,  2.40s/it, lr: 1.0e-04 loss: 4.264e-02]
lana-lora-wan2.2:  22%|###########                                        | 1084/5000 [33:22<2:36:44,  2.40s/it, lr: 1.0e-04 loss: 1.069e-01]
lana-lora-wan2.2:  22%|###########                                        | 1084/5000 [33:22<2:36:44,  2.40s/it, lr: 1.0e-04 loss: 1.069e-01]
lana-lora-wan2.2:  22%|###########                                        | 1085/5000 [33:25<2:36:40,  2.40s/it, lr: 1.0e-04 loss: 5.707e-02]
lana-lora-wan2.2:  22%|###########                                        | 1085/5000 [33:25<2:36:40,  2.40s/it, lr: 1.0e-04 loss: 5.707e-02]
lana-lora-wan2.2:  22%|###########                                        | 1086/5000 [33:27<2:36:37,  2.40s/it, lr: 1.0e-04 loss: 4.063e-02]
lana-lora-wan2.2:  22%|###########                                        | 1086/5000 [33:27<2:36:37,  2.40s/it, lr: 1.0e-04 loss: 4.063e-02]
lana-lora-wan2.2:  22%|###########                                        | 1087/5000 [33:31<2:36:42,  2.40s/it, lr: 1.0e-04 loss: 3.699e-01]
lana-lora-wan2.2:  22%|###########                                        | 1087/5000 [33:31<2:36:42,  2.40s/it, lr: 1.0e-04 loss: 3.699e-01]
lana-lora-wan2.2:  22%|###########                                        | 1088/5000 [33:33<2:36:38,  2.40s/it, lr: 1.0e-04 loss: 5.747e-02]
lana-lora-wan2.2:  22%|###########                                        | 1088/5000 [33:33<2:36:38,  2.40s/it, lr: 1.0e-04 loss: 5.747e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1089/5000 [33:36<2:36:42,  2.40s/it, lr: 1.0e-04 loss: 2.368e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1089/5000 [33:36<2:36:42,  2.40s/it, lr: 1.0e-04 loss: 2.368e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1090/5000 [33:38<2:36:34,  2.40s/it, lr: 1.0e-04 loss: 2.627e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1090/5000 [33:38<2:36:34,  2.40s/it, lr: 1.0e-04 loss: 2.627e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1091/5000 [33:39<2:36:26,  2.40s/it, lr: 1.0e-04 loss: 6.650e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1091/5000 [33:39<2:36:26,  2.40s/it, lr: 1.0e-04 loss: 6.650e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1092/5000 [33:43<2:36:29,  2.40s/it, lr: 1.0e-04 loss: 7.905e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1092/5000 [33:43<2:36:29,  2.40s/it, lr: 1.0e-04 loss: 7.905e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1093/5000 [33:45<2:36:27,  2.40s/it, lr: 1.0e-04 loss: 5.638e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1093/5000 [33:45<2:36:27,  2.40s/it, lr: 1.0e-04 loss: 5.638e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1094/5000 [33:47<2:36:23,  2.40s/it, lr: 1.0e-04 loss: 2.993e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1094/5000 [33:47<2:36:23,  2.40s/it, lr: 1.0e-04 loss: 2.993e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1095/5000 [33:48<2:36:15,  2.40s/it, lr: 1.0e-04 loss: 4.205e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1095/5000 [33:48<2:36:15,  2.40s/it, lr: 1.0e-04 loss: 4.205e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1096/5000 [33:51<2:36:12,  2.40s/it, lr: 1.0e-04 loss: 4.525e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1096/5000 [33:51<2:36:12,  2.40s/it, lr: 1.0e-04 loss: 4.525e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1097/5000 [33:53<2:36:09,  2.40s/it, lr: 1.0e-04 loss: 3.211e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1097/5000 [33:53<2:36:09,  2.40s/it, lr: 1.0e-04 loss: 3.211e-02]
lana-lora-wan2.2:  22%|###########1                                       | 1098/5000 [33:56<2:36:12,  2.40s/it, lr: 1.0e-04 loss: 1.504e-01]
lana-lora-wan2.2:  22%|###########1                                       | 1098/5000 [33:56<2:36:12,  2.40s/it, lr: 1.0e-04 loss: 1.504e-01]
lana-lora-wan2.2:  22%|###########2                                       | 1099/5000 [33:59<2:36:10,  2.40s/it, lr: 1.0e-04 loss: 5.660e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1099/5000 [33:59<2:36:10,  2.40s/it, lr: 1.0e-04 loss: 5.660e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1100/5000 [34:00<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 6.182e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1100/5000 [34:00<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 6.182e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1101/5000 [34:02<2:35:59,  2.40s/it, lr: 1.0e-04 loss: 4.929e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1101/5000 [34:02<2:35:59,  2.40s/it, lr: 1.0e-04 loss: 4.929e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1102/5000 [34:06<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 3.212e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1102/5000 [34:06<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 3.212e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1103/5000 [34:10<2:36:06,  2.40s/it, lr: 1.0e-04 loss: 5.941e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1103/5000 [34:10<2:36:06,  2.40s/it, lr: 1.0e-04 loss: 5.941e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1104/5000 [34:12<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 4.329e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1104/5000 [34:12<2:36:02,  2.40s/it, lr: 1.0e-04 loss: 4.329e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1105/5000 [34:16<2:36:07,  2.40s/it, lr: 1.0e-04 loss: 4.587e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1105/5000 [34:16<2:36:07,  2.40s/it, lr: 1.0e-04 loss: 4.587e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1106/5000 [34:18<2:36:03,  2.40s/it, lr: 1.0e-04 loss: 3.855e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1106/5000 [34:18<2:36:03,  2.40s/it, lr: 1.0e-04 loss: 3.855e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1107/5000 [34:19<2:35:55,  2.40s/it, lr: 1.0e-04 loss: 5.101e-02]
lana-lora-wan2.2:  22%|###########2                                       | 1107/5000 [34:19<2:35:55,  2.40s/it, lr: 1.0e-04 loss: 5.101e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1108/5000 [34:21<2:35:52,  2.40s/it, lr: 1.0e-04 loss: 3.518e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1108/5000 [34:21<2:35:52,  2.40s/it, lr: 1.0e-04 loss: 3.518e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1109/5000 [34:25<2:35:55,  2.40s/it, lr: 1.0e-04 loss: 2.677e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1109/5000 [34:25<2:35:55,  2.40s/it, lr: 1.0e-04 loss: 2.677e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1110/5000 [34:29<2:35:58,  2.41s/it, lr: 1.0e-04 loss: 4.230e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1110/5000 [34:29<2:35:58,  2.41s/it, lr: 1.0e-04 loss: 4.230e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1111/5000 [34:31<2:35:56,  2.41s/it, lr: 1.0e-04 loss: 5.058e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1111/5000 [34:31<2:35:56,  2.41s/it, lr: 1.0e-04 loss: 5.058e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1112/5000 [34:32<2:35:48,  2.40s/it, lr: 1.0e-04 loss: 5.411e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1112/5000 [34:32<2:35:48,  2.40s/it, lr: 1.0e-04 loss: 5.411e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1113/5000 [34:34<2:35:44,  2.40s/it, lr: 1.0e-04 loss: 1.340e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1113/5000 [34:34<2:35:44,  2.40s/it, lr: 1.0e-04 loss: 1.340e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1114/5000 [34:35<2:35:36,  2.40s/it, lr: 1.0e-04 loss: 1.528e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1114/5000 [34:35<2:35:36,  2.40s/it, lr: 1.0e-04 loss: 1.528e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1115/5000 [34:39<2:35:39,  2.40s/it, lr: 1.0e-04 loss: 1.837e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1115/5000 [34:39<2:35:39,  2.40s/it, lr: 1.0e-04 loss: 1.837e-01]
lana-lora-wan2.2:  22%|###########3                                       | 1116/5000 [34:43<2:35:42,  2.41s/it, lr: 1.0e-04 loss: 5.502e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1116/5000 [34:43<2:35:42,  2.41s/it, lr: 1.0e-04 loss: 5.502e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1117/5000 [34:47<2:35:48,  2.41s/it, lr: 1.0e-04 loss: 3.937e-02]
lana-lora-wan2.2:  22%|###########3                                       | 1117/5000 [34:47<2:35:48,  2.41s/it, lr: 1.0e-04 loss: 3.937e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1118/5000 [34:48<2:35:41,  2.41s/it, lr: 1.0e-04 loss: 3.021e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1118/5000 [34:48<2:35:41,  2.41s/it, lr: 1.0e-04 loss: 3.021e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1119/5000 [34:50<2:35:37,  2.41s/it, lr: 1.0e-04 loss: 3.167e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1119/5000 [34:50<2:35:37,  2.41s/it, lr: 1.0e-04 loss: 3.167e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1120/5000 [34:52<2:35:29,  2.40s/it, lr: 1.0e-04 loss: 3.007e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1120/5000 [34:52<2:35:29,  2.40s/it, lr: 1.0e-04 loss: 3.007e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1121/5000 [34:54<2:35:26,  2.40s/it, lr: 1.0e-04 loss: 1.013e-01]
lana-lora-wan2.2:  22%|###########4                                       | 1121/5000 [34:54<2:35:26,  2.40s/it, lr: 1.0e-04 loss: 1.013e-01]
lana-lora-wan2.2:  22%|###########4                                       | 1122/5000 [34:57<2:35:29,  2.41s/it, lr: 1.0e-04 loss: 3.975e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1122/5000 [34:57<2:35:29,  2.41s/it, lr: 1.0e-04 loss: 3.975e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1123/5000 [35:00<2:35:27,  2.41s/it, lr: 1.0e-04 loss: 4.031e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1123/5000 [35:00<2:35:27,  2.41s/it, lr: 1.0e-04 loss: 4.031e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1124/5000 [35:01<2:35:19,  2.40s/it, lr: 1.0e-04 loss: 3.976e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1124/5000 [35:01<2:35:19,  2.40s/it, lr: 1.0e-04 loss: 3.976e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1125/5000 [35:02<2:35:12,  2.40s/it, lr: 1.0e-04 loss: 8.256e-02]
lana-lora-wan2.2:  22%|###########4                                       | 1125/5000 [35:02<2:35:12,  2.40s/it, lr: 1.0e-04 loss: 8.256e-02]
lana-lora-wan2.2:  23%|###########4                                       | 1126/5000 [35:06<2:35:15,  2.40s/it, lr: 1.0e-04 loss: 3.765e-02]
lana-lora-wan2.2:  23%|###########4                                       | 1126/5000 [35:06<2:35:15,  2.40s/it, lr: 1.0e-04 loss: 3.765e-02]
lana-lora-wan2.2:  23%|###########4                                       | 1127/5000 [35:07<2:35:07,  2.40s/it, lr: 1.0e-04 loss: 4.973e-02]
lana-lora-wan2.2:  23%|###########4                                       | 1127/5000 [35:07<2:35:07,  2.40s/it, lr: 1.0e-04 loss: 4.973e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1128/5000 [35:11<2:35:10,  2.40s/it, lr: 1.0e-04 loss: 1.725e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1128/5000 [35:11<2:35:10,  2.40s/it, lr: 1.0e-04 loss: 1.725e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1129/5000 [35:12<2:35:04,  2.40s/it, lr: 1.0e-04 loss: 8.251e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1129/5000 [35:12<2:35:04,  2.40s/it, lr: 1.0e-04 loss: 8.251e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1130/5000 [35:16<2:35:07,  2.41s/it, lr: 1.0e-04 loss: 2.438e-01]
lana-lora-wan2.2:  23%|###########5                                       | 1130/5000 [35:16<2:35:07,  2.41s/it, lr: 1.0e-04 loss: 2.438e-01]
lana-lora-wan2.2:  23%|###########5                                       | 1131/5000 [35:18<2:35:04,  2.40s/it, lr: 1.0e-04 loss: 1.005e-01]
lana-lora-wan2.2:  23%|###########5                                       | 1131/5000 [35:18<2:35:04,  2.40s/it, lr: 1.0e-04 loss: 1.005e-01]
lana-lora-wan2.2:  23%|###########5                                       | 1132/5000 [35:20<2:35:00,  2.40s/it, lr: 1.0e-04 loss: 3.068e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1132/5000 [35:20<2:35:00,  2.40s/it, lr: 1.0e-04 loss: 3.068e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1133/5000 [35:21<2:34:52,  2.40s/it, lr: 1.0e-04 loss: 6.834e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1133/5000 [35:21<2:34:52,  2.40s/it, lr: 1.0e-04 loss: 6.834e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1134/5000 [35:23<2:34:45,  2.40s/it, lr: 1.0e-04 loss: 4.026e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1134/5000 [35:23<2:34:45,  2.40s/it, lr: 1.0e-04 loss: 4.026e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1135/5000 [35:24<2:34:38,  2.40s/it, lr: 1.0e-04 loss: 9.051e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1135/5000 [35:24<2:34:38,  2.40s/it, lr: 1.0e-04 loss: 9.051e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1136/5000 [35:28<2:34:41,  2.40s/it, lr: 1.0e-04 loss: 1.993e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1136/5000 [35:28<2:34:41,  2.40s/it, lr: 1.0e-04 loss: 1.993e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1137/5000 [35:30<2:34:38,  2.40s/it, lr: 1.0e-04 loss: 4.310e-02]
lana-lora-wan2.2:  23%|###########5                                       | 1137/5000 [35:30<2:34:38,  2.40s/it, lr: 1.0e-04 loss: 4.310e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1138/5000 [35:32<2:34:35,  2.40s/it, lr: 1.0e-04 loss: 2.833e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1138/5000 [35:32<2:34:35,  2.40s/it, lr: 1.0e-04 loss: 2.833e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1139/5000 [35:34<2:34:31,  2.40s/it, lr: 1.0e-04 loss: 3.591e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1139/5000 [35:34<2:34:31,  2.40s/it, lr: 1.0e-04 loss: 3.591e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1140/5000 [35:36<2:34:28,  2.40s/it, lr: 1.0e-04 loss: 8.924e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1140/5000 [35:36<2:34:28,  2.40s/it, lr: 1.0e-04 loss: 8.924e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1141/5000 [35:38<2:34:21,  2.40s/it, lr: 1.0e-04 loss: 4.292e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1141/5000 [35:38<2:34:21,  2.40s/it, lr: 1.0e-04 loss: 4.292e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1142/5000 [35:39<2:34:14,  2.40s/it, lr: 1.0e-04 loss: 4.396e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1142/5000 [35:39<2:34:14,  2.40s/it, lr: 1.0e-04 loss: 4.396e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1143/5000 [35:41<2:34:10,  2.40s/it, lr: 1.0e-04 loss: 3.109e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1143/5000 [35:41<2:34:10,  2.40s/it, lr: 1.0e-04 loss: 3.109e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1144/5000 [35:43<2:34:07,  2.40s/it, lr: 1.0e-04 loss: 5.162e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1144/5000 [35:43<2:34:07,  2.40s/it, lr: 1.0e-04 loss: 5.162e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1145/5000 [35:45<2:33:59,  2.40s/it, lr: 1.0e-04 loss: 8.424e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1145/5000 [35:45<2:33:59,  2.40s/it, lr: 1.0e-04 loss: 8.424e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1146/5000 [35:46<2:33:53,  2.40s/it, lr: 1.0e-04 loss: 5.257e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1146/5000 [35:46<2:33:53,  2.40s/it, lr: 1.0e-04 loss: 5.257e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1147/5000 [35:50<2:33:56,  2.40s/it, lr: 1.0e-04 loss: 4.788e-02]
lana-lora-wan2.2:  23%|###########6                                       | 1147/5000 [35:50<2:33:56,  2.40s/it, lr: 1.0e-04 loss: 4.788e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1148/5000 [35:52<2:33:52,  2.40s/it, lr: 1.0e-04 loss: 4.387e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1148/5000 [35:52<2:33:52,  2.40s/it, lr: 1.0e-04 loss: 4.387e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1149/5000 [35:54<2:33:49,  2.40s/it, lr: 1.0e-04 loss: 1.229e-01]
lana-lora-wan2.2:  23%|###########7                                       | 1149/5000 [35:54<2:33:49,  2.40s/it, lr: 1.0e-04 loss: 1.229e-01]
lana-lora-wan2.2:  23%|###########7                                       | 1150/5000 [35:56<2:33:46,  2.40s/it, lr: 1.0e-04 loss: 6.377e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1150/5000 [35:56<2:33:46,  2.40s/it, lr: 1.0e-04 loss: 6.377e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1151/5000 [36:00<2:33:49,  2.40s/it, lr: 1.0e-04 loss: 4.147e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1151/5000 [36:00<2:33:49,  2.40s/it, lr: 1.0e-04 loss: 4.147e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1152/5000 [36:04<2:33:53,  2.40s/it, lr: 1.0e-04 loss: 4.171e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1152/5000 [36:04<2:33:53,  2.40s/it, lr: 1.0e-04 loss: 4.171e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1153/5000 [36:06<2:33:50,  2.40s/it, lr: 1.0e-04 loss: 5.023e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1153/5000 [36:06<2:33:50,  2.40s/it, lr: 1.0e-04 loss: 5.023e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1154/5000 [36:08<2:33:46,  2.40s/it, lr: 1.0e-04 loss: 4.465e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1154/5000 [36:08<2:33:46,  2.40s/it, lr: 1.0e-04 loss: 4.465e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1155/5000 [36:10<2:33:43,  2.40s/it, lr: 1.0e-04 loss: 6.522e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1155/5000 [36:10<2:33:43,  2.40s/it, lr: 1.0e-04 loss: 6.522e-02]
lana-lora-wan2.2:  23%|###########7                                       | 1156/5000 [36:12<2:33:35,  2.40s/it, lr: 1.0e-04 loss: 1.176e-01]
lana-lora-wan2.2:  23%|###########7                                       | 1156/5000 [36:12<2:33:35,  2.40s/it, lr: 1.0e-04 loss: 1.176e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1157/5000 [36:15<2:33:38,  2.40s/it, lr: 1.0e-04 loss: 2.564e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1157/5000 [36:15<2:33:38,  2.40s/it, lr: 1.0e-04 loss: 2.564e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1158/5000 [36:18<2:33:36,  2.40s/it, lr: 1.0e-04 loss: 4.496e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1158/5000 [36:18<2:33:36,  2.40s/it, lr: 1.0e-04 loss: 4.496e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1159/5000 [36:21<2:33:39,  2.40s/it, lr: 1.0e-04 loss: 6.120e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1159/5000 [36:21<2:33:39,  2.40s/it, lr: 1.0e-04 loss: 6.120e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1160/5000 [36:23<2:33:32,  2.40s/it, lr: 1.0e-04 loss: 1.338e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1160/5000 [36:23<2:33:32,  2.40s/it, lr: 1.0e-04 loss: 1.338e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1161/5000 [36:24<2:33:24,  2.40s/it, lr: 1.0e-04 loss: 4.135e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1161/5000 [36:24<2:33:24,  2.40s/it, lr: 1.0e-04 loss: 4.135e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1162/5000 [36:25<2:33:17,  2.40s/it, lr: 1.0e-04 loss: 5.884e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1162/5000 [36:25<2:33:17,  2.40s/it, lr: 1.0e-04 loss: 5.884e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1163/5000 [36:26<2:33:09,  2.39s/it, lr: 1.0e-04 loss: 5.849e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1163/5000 [36:26<2:33:09,  2.39s/it, lr: 1.0e-04 loss: 5.849e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1164/5000 [36:29<2:33:07,  2.40s/it, lr: 1.0e-04 loss: 7.009e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1164/5000 [36:29<2:33:07,  2.40s/it, lr: 1.0e-04 loss: 7.009e-02]
lana-lora-wan2.2:  23%|###########8                                       | 1165/5000 [36:30<2:32:59,  2.39s/it, lr: 1.0e-04 loss: 1.018e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1165/5000 [36:30<2:32:59,  2.39s/it, lr: 1.0e-04 loss: 1.018e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1166/5000 [36:32<2:32:56,  2.39s/it, lr: 1.0e-04 loss: 2.784e-01]
lana-lora-wan2.2:  23%|###########8                                       | 1166/5000 [36:32<2:32:56,  2.39s/it, lr: 1.0e-04 loss: 2.784e-01]
lana-lora-wan2.2:  23%|###########9                                       | 1167/5000 [36:36<2:32:59,  2.39s/it, lr: 1.0e-04 loss: 1.214e-01]
lana-lora-wan2.2:  23%|###########9                                       | 1167/5000 [36:36<2:32:59,  2.39s/it, lr: 1.0e-04 loss: 1.214e-01]
lana-lora-wan2.2:  23%|###########9                                       | 1168/5000 [36:39<2:33:02,  2.40s/it, lr: 1.0e-04 loss: 4.763e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1168/5000 [36:39<2:33:02,  2.40s/it, lr: 1.0e-04 loss: 4.763e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1169/5000 [36:40<2:32:54,  2.39s/it, lr: 1.0e-04 loss: 4.465e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1169/5000 [36:40<2:32:54,  2.39s/it, lr: 1.0e-04 loss: 4.465e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1170/5000 [36:42<2:32:48,  2.39s/it, lr: 1.0e-04 loss: 9.319e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1170/5000 [36:42<2:32:48,  2.39s/it, lr: 1.0e-04 loss: 9.319e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1171/5000 [36:46<2:32:51,  2.40s/it, lr: 1.0e-04 loss: 4.939e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1171/5000 [36:46<2:32:51,  2.40s/it, lr: 1.0e-04 loss: 4.939e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1172/5000 [36:48<2:32:48,  2.40s/it, lr: 1.0e-04 loss: 3.396e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1172/5000 [36:48<2:32:48,  2.40s/it, lr: 1.0e-04 loss: 3.396e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1173/5000 [36:49<2:32:40,  2.39s/it, lr: 1.0e-04 loss: 7.015e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1173/5000 [36:49<2:32:40,  2.39s/it, lr: 1.0e-04 loss: 7.015e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1174/5000 [36:51<2:32:37,  2.39s/it, lr: 1.0e-04 loss: 4.688e-02]
lana-lora-wan2.2:  23%|###########9                                       | 1174/5000 [36:51<2:32:37,  2.39s/it, lr: 1.0e-04 loss: 4.688e-02]
lana-lora-wan2.2:  24%|###########9                                       | 1175/5000 [36:53<2:32:34,  2.39s/it, lr: 1.0e-04 loss: 3.804e-02]
lana-lora-wan2.2:  24%|###########9                                       | 1175/5000 [36:53<2:32:34,  2.39s/it, lr: 1.0e-04 loss: 3.804e-02]
lana-lora-wan2.2:  24%|###########9                                       | 1176/5000 [36:56<2:32:32,  2.39s/it, lr: 1.0e-04 loss: 3.621e-02]
lana-lora-wan2.2:  24%|###########9                                       | 1176/5000 [36:56<2:32:32,  2.39s/it, lr: 1.0e-04 loss: 3.621e-02]
lana-lora-wan2.2:  24%|############                                       | 1177/5000 [36:59<2:32:35,  2.39s/it, lr: 1.0e-04 loss: 4.706e-02]
lana-lora-wan2.2:  24%|############                                       | 1177/5000 [36:59<2:32:35,  2.39s/it, lr: 1.0e-04 loss: 4.706e-02]
lana-lora-wan2.2:  24%|############                                       | 1178/5000 [37:01<2:32:27,  2.39s/it, lr: 1.0e-04 loss: 1.197e-01]
lana-lora-wan2.2:  24%|############                                       | 1178/5000 [37:01<2:32:27,  2.39s/it, lr: 1.0e-04 loss: 1.197e-01]
lana-lora-wan2.2:  24%|############                                       | 1179/5000 [37:04<2:32:30,  2.39s/it, lr: 1.0e-04 loss: 5.651e-02]
lana-lora-wan2.2:  24%|############                                       | 1179/5000 [37:04<2:32:30,  2.39s/it, lr: 1.0e-04 loss: 5.651e-02]
lana-lora-wan2.2:  24%|############                                       | 1180/5000 [37:08<2:32:33,  2.40s/it, lr: 1.0e-04 loss: 5.765e-02]
lana-lora-wan2.2:  24%|############                                       | 1180/5000 [37:08<2:32:33,  2.40s/it, lr: 1.0e-04 loss: 5.765e-02]
lana-lora-wan2.2:  24%|############                                       | 1181/5000 [37:12<2:32:36,  2.40s/it, lr: 1.0e-04 loss: 3.162e-02]
lana-lora-wan2.2:  24%|############                                       | 1181/5000 [37:12<2:32:36,  2.40s/it, lr: 1.0e-04 loss: 3.162e-02]
lana-lora-wan2.2:  24%|############                                       | 1182/5000 [37:13<2:32:30,  2.40s/it, lr: 1.0e-04 loss: 9.072e-02]
lana-lora-wan2.2:  24%|############                                       | 1182/5000 [37:13<2:32:30,  2.40s/it, lr: 1.0e-04 loss: 9.072e-02]
lana-lora-wan2.2:  24%|############                                       | 1183/5000 [37:14<2:32:22,  2.40s/it, lr: 1.0e-04 loss: 5.935e-02]
lana-lora-wan2.2:  24%|############                                       | 1183/5000 [37:14<2:32:22,  2.40s/it, lr: 1.0e-04 loss: 5.935e-02]
lana-lora-wan2.2:  24%|############                                       | 1184/5000 [37:15<2:32:15,  2.39s/it, lr: 1.0e-04 loss: 4.898e-02]
lana-lora-wan2.2:  24%|############                                       | 1184/5000 [37:15<2:32:15,  2.39s/it, lr: 1.0e-04 loss: 4.898e-02]
lana-lora-wan2.2:  24%|############                                       | 1185/5000 [37:18<2:32:12,  2.39s/it, lr: 1.0e-04 loss: 3.356e-02]
lana-lora-wan2.2:  24%|############                                       | 1185/5000 [37:18<2:32:12,  2.39s/it, lr: 1.0e-04 loss: 3.356e-02]
lana-lora-wan2.2:  24%|############                                       | 1186/5000 [37:19<2:32:04,  2.39s/it, lr: 1.0e-04 loss: 4.818e-02]
lana-lora-wan2.2:  24%|############                                       | 1186/5000 [37:19<2:32:04,  2.39s/it, lr: 1.0e-04 loss: 4.818e-02]
lana-lora-wan2.2:  24%|############1                                      | 1187/5000 [37:22<2:32:07,  2.39s/it, lr: 1.0e-04 loss: 7.281e-02]
lana-lora-wan2.2:  24%|############1                                      | 1187/5000 [37:22<2:32:07,  2.39s/it, lr: 1.0e-04 loss: 7.281e-02]
lana-lora-wan2.2:  24%|############1                                      | 1188/5000 [37:26<2:32:11,  2.40s/it, lr: 1.0e-04 loss: 3.456e-02]
lana-lora-wan2.2:  24%|############1                                      | 1188/5000 [37:26<2:32:11,  2.40s/it, lr: 1.0e-04 loss: 3.456e-02]
lana-lora-wan2.2:  24%|############1                                      | 1189/5000 [37:30<2:32:13,  2.40s/it, lr: 1.0e-04 loss: 2.853e-02]
lana-lora-wan2.2:  24%|############1                                      | 1189/5000 [37:30<2:32:13,  2.40s/it, lr: 1.0e-04 loss: 2.853e-02]
lana-lora-wan2.2:  24%|############1                                      | 1190/5000 [37:32<2:32:10,  2.40s/it, lr: 1.0e-04 loss: 4.211e-02]
lana-lora-wan2.2:  24%|############1                                      | 1190/5000 [37:32<2:32:10,  2.40s/it, lr: 1.0e-04 loss: 4.211e-02]
lana-lora-wan2.2:  24%|############1                                      | 1191/5000 [37:34<2:32:07,  2.40s/it, lr: 1.0e-04 loss: 2.479e-01]
lana-lora-wan2.2:  24%|############1                                      | 1191/5000 [37:34<2:32:07,  2.40s/it, lr: 1.0e-04 loss: 2.479e-01]
lana-lora-wan2.2:  24%|############1                                      | 1192/5000 [37:38<2:32:09,  2.40s/it, lr: 1.0e-04 loss: 4.220e-02]
lana-lora-wan2.2:  24%|############1                                      | 1192/5000 [37:38<2:32:09,  2.40s/it, lr: 1.0e-04 loss: 4.220e-02]
lana-lora-wan2.2:  24%|############1                                      | 1193/5000 [37:42<2:32:12,  2.40s/it, lr: 1.0e-04 loss: 4.869e-02]
lana-lora-wan2.2:  24%|############1                                      | 1193/5000 [37:42<2:32:12,  2.40s/it, lr: 1.0e-04 loss: 4.869e-02]
lana-lora-wan2.2:  24%|############1                                      | 1194/5000 [37:46<2:32:16,  2.40s/it, lr: 1.0e-04 loss: 2.706e-02]
lana-lora-wan2.2:  24%|############1                                      | 1194/5000 [37:46<2:32:16,  2.40s/it, lr: 1.0e-04 loss: 2.706e-02]
lana-lora-wan2.2:  24%|############1                                      | 1195/5000 [37:47<2:32:08,  2.40s/it, lr: 1.0e-04 loss: 4.609e-02]
lana-lora-wan2.2:  24%|############1                                      | 1195/5000 [37:47<2:32:08,  2.40s/it, lr: 1.0e-04 loss: 4.609e-02]
lana-lora-wan2.2:  24%|############1                                      | 1196/5000 [37:50<2:32:11,  2.40s/it, lr: 1.0e-04 loss: 9.126e-02]
lana-lora-wan2.2:  24%|############1                                      | 1196/5000 [37:50<2:32:11,  2.40s/it, lr: 1.0e-04 loss: 9.126e-02]
lana-lora-wan2.2:  24%|############2                                      | 1197/5000 [37:52<2:32:04,  2.40s/it, lr: 1.0e-04 loss: 6.115e-02]
lana-lora-wan2.2:  24%|############2                                      | 1197/5000 [37:52<2:32:04,  2.40s/it, lr: 1.0e-04 loss: 6.115e-02]
lana-lora-wan2.2:  24%|############2                                      | 1198/5000 [37:53<2:31:57,  2.40s/it, lr: 1.0e-04 loss: 4.632e-02]
lana-lora-wan2.2:  24%|############2                                      | 1198/5000 [37:53<2:31:57,  2.40s/it, lr: 1.0e-04 loss: 4.632e-02]
lana-lora-wan2.2:  24%|############2                                      | 1199/5000 [37:56<2:31:59,  2.40s/it, lr: 1.0e-04 loss: 6.653e-02]
lana-lora-wan2.2:  24%|############2                                      | 1199/5000 [37:56<2:31:59,  2.40s/it, lr: 1.0e-04 loss: 6.653e-02]
lana-lora-wan2.2:  24%|############2                                      | 1200/5000 [37:58<2:31:53,  2.40s/it, lr: 1.0e-04 loss: 4.015e-02]
lana-lora-wan2.2:  24%|############2                                      | 1200/5000 [37:58<2:31:53,  2.40s/it, lr: 1.0e-04 loss: 4.015e-02]
lana-lora-wan2.2:  24%|############2                                      | 1201/5000 [37:59<2:31:46,  2.40s/it, lr: 1.0e-04 loss: 2.646e-01]
lana-lora-wan2.2:  24%|############2                                      | 1201/5000 [37:59<2:31:46,  2.40s/it, lr: 1.0e-04 loss: 2.646e-01]
lana-lora-wan2.2:  24%|############2                                      | 1202/5000 [38:01<2:31:43,  2.40s/it, lr: 1.0e-04 loss: 4.774e-02]
lana-lora-wan2.2:  24%|############2                                      | 1202/5000 [38:01<2:31:43,  2.40s/it, lr: 1.0e-04 loss: 4.774e-02]
lana-lora-wan2.2:  24%|############2                                      | 1203/5000 [38:04<2:31:40,  2.40s/it, lr: 1.0e-04 loss: 1.356e-01]
lana-lora-wan2.2:  24%|############2                                      | 1203/5000 [38:04<2:31:40,  2.40s/it, lr: 1.0e-04 loss: 1.356e-01]
lana-lora-wan2.2:  24%|############2                                      | 1204/5000 [38:07<2:31:42,  2.40s/it, lr: 1.0e-04 loss: 2.921e-02]
lana-lora-wan2.2:  24%|############2                                      | 1204/5000 [38:07<2:31:42,  2.40s/it, lr: 1.0e-04 loss: 2.921e-02]
lana-lora-wan2.2:  24%|############2                                      | 1205/5000 [38:11<2:31:45,  2.40s/it, lr: 1.0e-04 loss: 8.349e-02]
lana-lora-wan2.2:  24%|############2                                      | 1205/5000 [38:11<2:31:45,  2.40s/it, lr: 1.0e-04 loss: 8.349e-02]
lana-lora-wan2.2:  24%|############3                                      | 1206/5000 [38:13<2:31:43,  2.40s/it, lr: 1.0e-04 loss: 8.126e-02]
lana-lora-wan2.2:  24%|############3                                      | 1206/5000 [38:13<2:31:43,  2.40s/it, lr: 1.0e-04 loss: 8.126e-02]
lana-lora-wan2.2:  24%|############3                                      | 1207/5000 [38:15<2:31:39,  2.40s/it, lr: 1.0e-04 loss: 2.862e-01]
lana-lora-wan2.2:  24%|############3                                      | 1207/5000 [38:15<2:31:39,  2.40s/it, lr: 1.0e-04 loss: 2.862e-01]
lana-lora-wan2.2:  24%|############3                                      | 1208/5000 [38:18<2:31:36,  2.40s/it, lr: 1.0e-04 loss: 5.327e-02]
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lana-lora-wan2.2:  24%|############3                                      | 1214/5000 [38:33<2:31:25,  2.40s/it, lr: 1.0e-04 loss: 4.047e-02]
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lana-lora-wan2.2:  24%|############3                                      | 1215/5000 [38:34<2:31:18,  2.40s/it, lr: 1.0e-04 loss: 3.234e-02]
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lana-lora-wan2.2:  24%|############4                                      | 1216/5000 [38:38<2:31:21,  2.40s/it, lr: 1.0e-04 loss: 4.313e-02]
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lana-lora-wan2.2:  24%|############4                                      | 1217/5000 [38:42<2:31:24,  2.40s/it, lr: 1.0e-04 loss: 1.286e-01]
lana-lora-wan2.2:  24%|############4                                      | 1217/5000 [38:42<2:31:24,  2.40s/it, lr: 1.0e-04 loss: 1.286e-01]
lana-lora-wan2.2:  24%|############4                                      | 1218/5000 [38:44<2:31:21,  2.40s/it, lr: 1.0e-04 loss: 4.106e-02]
lana-lora-wan2.2:  24%|############4                                      | 1218/5000 [38:44<2:31:21,  2.40s/it, lr: 1.0e-04 loss: 4.106e-02]
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lana-lora-wan2.2:  24%|############4                                      | 1220/5000 [38:49<2:31:16,  2.40s/it, lr: 1.0e-04 loss: 2.936e-02]
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+Saving at step 1250
+Saved checkpoint to /root/lab/ai-toolkit/output/lana-lora-wan2.2/lana-lora-wan2.2_000001250.safetensors
+Saved optimizer to /root/lab/ai-toolkit/output/lana-lora-wan2.2/optimizer.pt
+
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lana-lora-wan2.2:  25%|############8                                      | 1260/5000 [40:26<2:29:44,  2.40s/it, lr: 1.0e-04 loss: 9.981e-02]
lana-lora-wan2.2:  25%|############8                                      | 1260/5000 [40:26<2:29:44,  2.40s/it, lr: 1.0e-04 loss: 9.981e-02]
lana-lora-wan2.2:  25%|############8                                      | 1261/5000 [40:28<2:29:42,  2.40s/it, lr: 1.0e-04 loss: 4.784e-02]
lana-lora-wan2.2:  25%|############8                                      | 1261/5000 [40:28<2:29:42,  2.40s/it, lr: 1.0e-04 loss: 4.784e-02]
lana-lora-wan2.2:  25%|############8                                      | 1262/5000 [40:32<2:29:44,  2.40s/it, lr: 1.0e-04 loss: 1.493e-01]
lana-lora-wan2.2:  25%|############8                                      | 1262/5000 [40:32<2:29:44,  2.40s/it, lr: 1.0e-04 loss: 1.493e-01]
lana-lora-wan2.2:  25%|############8                                      | 1263/5000 [40:34<2:29:41,  2.40s/it, lr: 1.0e-04 loss: 2.687e-02]
lana-lora-wan2.2:  25%|############8                                      | 1263/5000 [40:34<2:29:41,  2.40s/it, lr: 1.0e-04 loss: 2.687e-02]
lana-lora-wan2.2:  25%|############8                                      | 1264/5000 [40:38<2:29:43,  2.40s/it, lr: 1.0e-04 loss: 6.435e-02]
lana-lora-wan2.2:  25%|############8                                      | 1264/5000 [40:38<2:29:43,  2.40s/it, lr: 1.0e-04 loss: 6.435e-02]
lana-lora-wan2.2:  25%|############9                                      | 1265/5000 [40:40<2:29:40,  2.40s/it, lr: 1.0e-04 loss: 5.553e-02]
lana-lora-wan2.2:  25%|############9                                      | 1265/5000 [40:40<2:29:40,  2.40s/it, lr: 1.0e-04 loss: 5.553e-02]
lana-lora-wan2.2:  25%|############9                                      | 1266/5000 [40:42<2:29:37,  2.40s/it, lr: 1.0e-04 loss: 4.753e-02]
lana-lora-wan2.2:  25%|############9                                      | 1266/5000 [40:42<2:29:37,  2.40s/it, lr: 1.0e-04 loss: 4.753e-02]
lana-lora-wan2.2:  25%|############9                                      | 1267/5000 [40:44<2:29:33,  2.40s/it, lr: 1.0e-04 loss: 1.027e-01]
lana-lora-wan2.2:  25%|############9                                      | 1267/5000 [40:44<2:29:33,  2.40s/it, lr: 1.0e-04 loss: 1.027e-01]
lana-lora-wan2.2:  25%|############9                                      | 1268/5000 [40:48<2:29:35,  2.41s/it, lr: 1.0e-04 loss: 3.306e-02]
lana-lora-wan2.2:  25%|############9                                      | 1268/5000 [40:48<2:29:35,  2.41s/it, lr: 1.0e-04 loss: 3.306e-02]
lana-lora-wan2.2:  25%|############9                                      | 1269/5000 [40:50<2:29:32,  2.40s/it, lr: 1.0e-04 loss: 6.755e-02]
lana-lora-wan2.2:  25%|############9                                      | 1269/5000 [40:50<2:29:32,  2.40s/it, lr: 1.0e-04 loss: 6.755e-02]
lana-lora-wan2.2:  25%|############9                                      | 1270/5000 [40:52<2:29:26,  2.40s/it, lr: 1.0e-04 loss: 8.855e-02]
lana-lora-wan2.2:  25%|############9                                      | 1270/5000 [40:52<2:29:26,  2.40s/it, lr: 1.0e-04 loss: 8.855e-02]
lana-lora-wan2.2:  25%|############9                                      | 1271/5000 [40:53<2:29:21,  2.40s/it, lr: 1.0e-04 loss: 3.701e-02]
lana-lora-wan2.2:  25%|############9                                      | 1271/5000 [40:53<2:29:21,  2.40s/it, lr: 1.0e-04 loss: 3.701e-02]
lana-lora-wan2.2:  25%|############9                                      | 1272/5000 [40:57<2:29:23,  2.40s/it, lr: 1.0e-04 loss: 4.634e-02]
lana-lora-wan2.2:  25%|############9                                      | 1272/5000 [40:57<2:29:23,  2.40s/it, lr: 1.0e-04 loss: 4.634e-02]
lana-lora-wan2.2:  25%|############9                                      | 1273/5000 [40:59<2:29:21,  2.40s/it, lr: 1.0e-04 loss: 2.955e-02]
lana-lora-wan2.2:  25%|############9                                      | 1273/5000 [40:59<2:29:21,  2.40s/it, lr: 1.0e-04 loss: 2.955e-02]
lana-lora-wan2.2:  25%|############9                                      | 1274/5000 [41:01<2:29:14,  2.40s/it, lr: 1.0e-04 loss: 5.599e-02]
lana-lora-wan2.2:  25%|############9                                      | 1274/5000 [41:01<2:29:14,  2.40s/it, lr: 1.0e-04 loss: 5.599e-02]Error running job: element 0 of tensors does not require grad and does not have a grad_fn
+
+========================================
+Result:
+ - 0 completed jobs
+ - 1 failure
+========================================
+Traceback (most recent call last):
+Traceback (most recent call last):
+  File "/root/lab/ai-toolkit/run.py", line 120, in <module>
+  File "/root/lab/ai-toolkit/run.py", line 120, in <module>
+        main()main()
+
+  File "/root/lab/ai-toolkit/run.py", line 108, in main
+  File "/root/lab/ai-toolkit/run.py", line 108, in main
+        raise eraise e
+
+  File "/root/lab/ai-toolkit/run.py", line 96, in main
+  File "/root/lab/ai-toolkit/run.py", line 96, in main
+        job.run()job.run()
+
+  File "/root/lab/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+  File "/root/lab/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+        process.run()process.run()
+
+  File "/root/lab/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2187, in run
+  File "/root/lab/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2187, in run
+        loss_dict = self.hook_train_loop(batch_list)loss_dict = self.hook_train_loop(batch_list)
+
+                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2061, in hook_train_loop
+  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2061, in hook_train_loop
+        loss = self.train_single_accumulation(batch)loss = self.train_single_accumulation(batch)
+
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 1989, in train_single_accumulation
+  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 1989, in train_single_accumulation
+        self.accelerator.backward(loss)self.accelerator.backward(loss)
+
+  File "/usr/local/lib/python3.11/site-packages/accelerate/accelerator.py", line 2852, in backward
+  File "/usr/local/lib/python3.11/site-packages/accelerate/accelerator.py", line 2852, in backward
+        loss.backward(**kwargs)loss.backward(**kwargs)
+
+  File "/usr/local/lib/python3.11/site-packages/torch/_tensor.py", line 648, in backward
+  File "/usr/local/lib/python3.11/site-packages/torch/_tensor.py", line 648, in backward
+        torch.autograd.backward(torch.autograd.backward(
+
+  File "/usr/local/lib/python3.11/site-packages/torch/autograd/__init__.py", line 353, in backward
+  File "/usr/local/lib/python3.11/site-packages/torch/autograd/__init__.py", line 353, in backward
+        _engine_run_backward(_engine_run_backward(
+
+  File "/usr/local/lib/python3.11/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
+  File "/usr/local/lib/python3.11/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
+        return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward passreturn Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+RuntimeErrorRuntimeError: : element 0 of tensors does not require grad and does not have a grad_fnelement 0 of tensors does not require grad and does not have a grad_fn
+
+
lana-lora-wan2.2:  26%|#############                                      | 1275/5000 [41:03<2:29:12,  2.40s/it, lr: 1.0e-04 loss: 5.599e-02]
lana-lora-wan2.2:  26%|#############                                      | 1275/5000 [41:03<2:29:12,  2.40s/it, lr: 1.0e-04 loss: 5.599e-02]
+