Running 1 job
{
    "type": "diffusion_trainer",
    "training_folder": "/teamspace/studios/this_studio/ai-toolkit/output",
    "sqlite_db_path": "/teamspace/studios/this_studio/ai-toolkit/aitk_db.db",
    "device": "cuda",
    "trigger_word": "xtishaz1",
    "performance_log_every": 10,
    "network": {
        "type": "lora",
        "linear": 32,
        "linear_alpha": 32,
        "conv": 16,
        "conv_alpha": 16,
        "lokr_full_rank": true,
        "lokr_factor": -1,
        "network_kwargs": {
            "ignore_if_contains": []
        }
    },
    "save": {
        "dtype": "bf16",
        "save_every": 500,
        "max_step_saves_to_keep": 8,
        "save_format": "diffusers",
        "push_to_hub": false
    },
    "datasets": [
        {
            "folder_path": "/teamspace/studios/this_studio/ai-toolkit/datasets/nishani",
            "mask_path": null,
            "mask_min_value": 0.1,
            "default_caption": "Indian 18y nude girl",
            "caption_ext": "txt",
            "caption_dropout_rate": 0.05,
            "cache_latents_to_disk": false,
            "is_reg": false,
            "network_weight": 1,
            "resolution": [
                1024,
                512,
                768
            ],
            "controls": [],
            "shrink_video_to_frames": true,
            "num_frames": 1,
            "do_i2v": true,
            "flip_x": false,
            "flip_y": false
        }
    ],
    "train": {
        "batch_size": 1,
        "bypass_guidance_embedding": false,
        "steps": 6000,
        "gradient_accumulation": 1,
        "train_unet": true,
        "train_text_encoder": false,
        "gradient_checkpointing": true,
        "noise_scheduler": "flowmatch",
        "optimizer": "adamw8bit",
        "timestep_type": "weighted",
        "content_or_style": "balanced",
        "optimizer_params": {
            "weight_decay": 0.0001
        },
        "unload_text_encoder": true,
        "cache_text_embeddings": false,
        "lr": 0.0001,
        "ema_config": {
            "use_ema": false,
            "ema_decay": 0.99
        },
        "skip_first_sample": false,
        "force_first_sample": false,
        "disable_sampling": false,
        "dtype": "bf16",
        "diff_output_preservation": false,
        "diff_output_preservation_multiplier": 1,
        "diff_output_preservation_class": "person",
        "switch_boundary_every": 1,
        "loss_type": "mse",
        "do_differential_guidance": true,
        "differential_guidance_scale": 3
    },
    "model": {
        "name_or_path": "Tongyi-MAI/Z-Image-Turbo",
        "quantize": true,
        "qtype": "qfloat8",
        "quantize_te": true,
        "qtype_te": "qfloat8",
        "arch": "zimage:turbo",
        "low_vram": true,
        "model_kwargs": {},
        "layer_offloading": false,
        "layer_offloading_text_encoder_percent": 1,
        "layer_offloading_transformer_percent": 1,
        "assistant_lora_path": "ostris/zimage_turbo_training_adapter/zimage_turbo_training_adapter_v1.safetensors"
    },
    "sample": {
        "sampler": "flowmatch",
        "sample_every": 250,
        "width": 1024,
        "height": 1024,
        "samples": [
            {
                "prompt": "xtishaz1, A young nude woman with a soft oval face shape, smooth light-to-medium warm skin tone, and clear glowing complexion, large expressive almond-shaped dark brown eyes, well-defined natural eyebrows, a small straight nose, and full pink lips with a gentle smile, long straight silky black hair styled with volume at the crown (slight puffed front) flowing past the shoulders, with a youthful, fresh, and naturally elegant appearance and balanced facial symmetry, is captured in a moment of intense intimacy as she leans forward with her eyes closed in pleasure, her tongue delicately exploring the base of a man\u2019s erect penis, her head tilted back slightly, her left hand gently cradling the back of her head while her right arm rests along his torso, the man\u2019s tattooed forearm adorned with a black dagger design rests possessively on her head, his body partially visible with defined musculature and natural body hair, the scene bathed in warm, golden-orange ambient lighting that casts soft shadows and highlights the contours of their skin, the background blurred into a smooth gradient of rich amber tones with subtle bokeh lights, creating a shallow depth of field that draws focus entirely to the couple\u2019s connection, the camera positioned at a close, slightly low angle to emphasize the intimacy and raw emotion of the moment, the woman\u2019s delicate gold hoop earring and thin gold chain necklace catching the light, adding a touch of elegance to the sensual scene, the overall composition exudes a sense of passion, trust, and natural beauty, rendered in ultra-high detail with a realistic, NSFW, adult, Z-Image Turbo optimized aesthetic."
            },
            {
                "prompt": "xtishaz1, A young nude woman with a soft oval face shape, smooth light-to-medium warm skin tone, and clear glowing complexion, large expressive almond-shaped dark brown eyes, well-defined natural eyebrows, a small straight nose, and full pink lips with a gentle smile, long straight silky black hair styled with volume at the crown (slight puffed front) flowing past the shoulders, with a youthful, fresh, and naturally elegant appearance and balanced facial symmetry, is captured in a moment of intense intimacy, kneeling on a plush white quilted bed, her body arched gracefully as she leans forward, one hand resting possessively on her hip while the other is gently placed on her thigh, her skin glistening with natural moisture under the soft, diffused natural light filtering through sheer white curtains and a wooden-framed window in the background, the warm beige walls and a wicker basket subtly visible in the corner adding to the serene, private atmosphere, the camera angle is low and intimate, emphasizing the curves of her body and the sensual tension of the moment, the depth of field is shallow, blurring the background slightly to draw focus to her form and the subtle interplay of light and shadow across her skin, creating a highly detailed, realistic, NSFW, adult, Z-Image Turbo optimized scene that exudes passion, elegance, and natural beauty."
            },
            {
                "prompt": "xtishaz1, Photo of a nude Indian woman 21y old with a soft oval face shape, smooth light-to-medium warm skin tone, and clear glowing complexion, large expressive almond-shaped dark brown eyes, well-defined natural eyebrows, a small straight nose, and full pink lips with a gentle smile, long straight silky black hair styled with volume at the crown (slight puffed front) flowing past the shoulders, with a youthful, fresh, and naturally elegant appearance and balanced facial symmetry, is captured in a moment of intense intimacy as she standing in a bedroom, facing the camera, medium wide shot, full body, black hair, dark eyes, medium breasts, slender physique, medium skin tone, brown eyes, dark eyebrows, small areola,  standing with her legs together , perfect feet, hands at her sides, perfect fingers, visible clitoris, pussy, looking at the camera, natural lighting, bright and airy room, white walls, large window with sheer white curtains, white bed with a wooden frame, white bed linens, wooden floor, potted plant in the background, casual and relaxed pose, confident  expression, soft shadows, high quality, jpeg artifacts, no watermark, perfectly optimized for Z-Image Turbo."
            },
            {
                "prompt": "xtishaz1, A young nude woman with a soft oval face shape, smooth light-to-medium warm skin tone, and clear glowing complexion, large expressive almond-shaped dark brown eyes, well-defined natural eyebrows, a small straight nose, and full pink lips with a gentle smile, long straight silky black hair styled with volume at the crown (slight puffed front) flowing past the shoulders, with a youthful, fresh, and naturally elegant appearance and balanced facial symmetry, reclines provocatively atop a plush, deep purple satin couch, her legs spread wide in a bold, sensual pose that accentuates her curves and natural beauty, her tongue playfully extended in a teasing expression, the rich, velvety texture of the couch contrasting with the smooth, glistening skin of her body, the ambient lighting casting soft, warm highlights across her form, the background revealing a cozy, intimate room with a purple wall, a bookshelf filled with books and decorative items, and a vintage-style lamp casting a gentle glow, the depth of field keeps the focus sharply on her figure while softly blurring the background elements, creating a luxurious, NSFW, adult, Z-Image Turbo optimized scene that exudes confidence, allure, and raw sensuality."
            },
            {
                "prompt": "xtishaz1, Photo of a Indian 21y woman with a soft oval face shape, smooth light-to-medium warm skin tone, and clear glowing complexion, large expressive almond-shaped dark brown eyes, well-defined natural eyebrows, a small straight nose, and full pink lips with a gentle smile, long straight silky black hair styled with volume at the crown (slight puffed front) flowing past the shoulders, with a youthful, fresh, and naturally elegant appearance and balanced facial symmetry, is captured in a moment of intense intimacy as she on her knees in a bathroom, giving a blowjob to a man standing in front of her. The woman has long black hair and a slender physique, with medium-sized breasts. The man is naked, with a large erected penis. The woman is performing oral sex on the man, with her eyes closed and her lips wrapped around his penis. The bathroom has a modern design, a wooden floor. The lighting is soft and warm, with a gentle glow on the woman's skin. The image is high quality and has a watermark in the bottom right corner"
            }
        ],
        "neg": "",
        "seed": 42,
        "walk_seed": true,
        "guidance_scale": 1,
        "sample_steps": 8,
        "num_frames": 1,
        "fps": 1
    },
    "logging": {
        "log_every": 1,
        "use_ui_logger": true
    }
}
Using SQLite database at /teamspace/studios/this_studio/ai-toolkit/aitk_db.db
Job ID: "f7eb6cbb-a54a-4f3a-92b0-66455621336c"

#############################################
# Running job: my_first_lora_v6
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Running  1 process
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Loading assistant LoRA
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neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
create LoRA for Text Encoder: 0 modules.
create LoRA for U-Net: 276 modules.
enable LoRA for U-Net
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 - quantizing extras
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Text Encoder
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`torch_dtype` is deprecated! Use `dtype` instead!

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Quantizing Text Encoder
Loading VAE
Making pipe
Preparing Model
Model Loaded
create LoRA network. base dim (rank): 32, alpha: 32
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: 240 modules.
enable LoRA for U-Net
#### IMPORTANT RESUMING FROM /teamspace/studios/this_studio/ai-toolkit/output/my_first_lora_v6/my_first_lora_v6_000003000.safetensors ####
Loading from /teamspace/studios/this_studio/ai-toolkit/output/my_first_lora_v6/my_first_lora_v6_000003000.safetensors
Missing keys: []
Found step 3000 in metadata, starting from there
Loading optimizer state from /teamspace/studios/this_studio/ai-toolkit/output/my_first_lora_v6/optimizer.pt
Updating optimizer LR from params
Dataset: /teamspace/studios/this_studio/ai-toolkit/datasets/nishani
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Dataset: /teamspace/studios/this_studio/ai-toolkit/datasets/nishani
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Dataset: /teamspace/studios/this_studio/ai-toolkit/datasets/nishani
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Caching embeddings and unloading text encoder

***** UNLOADING TEXT ENCODER *****
This will train only with a blank prompt or trigger word, if set
If this is not what you want, remove the unload_text_encoder flag
***********************************


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my_first_lora_v6:  51%|#####1    | 3060/6000 [01:29<1:12:51,  1.49s/it, lr: 1.0e-04 loss: 6.901e-01]
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my_first_lora_v6:  51%|#####1    | 3079/6000 [01:58<1:12:45,  1.49s/it, lr: 1.0e-04 loss: 3.271e-01]
my_first_lora_v6:  51%|#####1    | 3080/6000 [02:00<1:13:18,  1.51s/it, lr: 1.0e-04 loss: 3.478e-01]
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my_first_lora_v6:  51%|#####1    | 3081/6000 [02:01<1:12:46,  1.50s/it, lr: 1.0e-04 loss: 4.888e-01]
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my_first_lora_v6:  51%|#####1    | 3082/6000 [02:02<1:12:39,  1.49s/it, lr: 1.0e-04 loss: 1.389e-01]
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my_first_lora_v6:  51%|#####1    | 3083/6000 [02:05<1:13:20,  1.51s/it, lr: 1.0e-04 loss: 5.759e-01]
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my_first_lora_v6:  51%|#####1    | 3084/6000 [02:06<1:13:13,  1.51s/it, lr: 1.0e-04 loss: 2.403e-01]
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my_first_lora_v6:  51%|#####1    | 3085/6000 [02:07<1:12:43,  1.50s/it, lr: 1.0e-04 loss: 6.756e-01]
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my_first_lora_v6:  51%|#####1    | 3086/6000 [02:08<1:12:23,  1.49s/it, lr: 1.0e-04 loss: 7.614e-01]
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my_first_lora_v6:  51%|#####1    | 3087/6000 [02:10<1:12:53,  1.50s/it, lr: 1.0e-04 loss: 6.851e-01]
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my_first_lora_v6:  51%|#####1    | 3088/6000 [02:11<1:12:41,  1.50s/it, lr: 1.0e-04 loss: 6.645e-01]
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my_first_lora_v6:  51%|#####1    | 3089/6000 [02:12<1:12:13,  1.49s/it, lr: 1.0e-04 loss: 5.665e-02]
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my_first_lora_v6:  52%|#####1    | 3091/6000 [02:16<1:12:36,  1.50s/it, lr: 1.0e-04 loss: 5.896e-01]
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my_first_lora_v6:  52%|#####1    | 3096/6000 [02:21<1:11:07,  1.47s/it, lr: 1.0e-04 loss: 5.436e-01]
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my_first_lora_v6:  52%|#####1    | 3097/6000 [02:21<1:10:41,  1.46s/it, lr: 1.0e-04 loss: 7.326e-01]
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my_first_lora_v6:  52%|#####1    | 3102/6000 [02:28<1:10:30,  1.46s/it, lr: 1.0e-04 loss: 4.972e-01]
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my_first_lora_v6:  52%|#####2    | 3120/6000 [02:56<1:10:41,  1.47s/it, lr: 1.0e-04 loss: 7.118e-01]
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my_first_lora_v6:  52%|#####2    | 3128/6000 [03:10<1:11:06,  1.49s/it, lr: 1.0e-04 loss: 5.291e-01]
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my_first_lora_v6:  52%|#####2    | 3136/6000 [03:22<1:11:04,  1.49s/it, lr: 1.0e-04 loss: 4.649e-01]
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my_first_lora_v6:  52%|#####2    | 3138/6000 [03:24<1:10:41,  1.48s/it, lr: 1.0e-04 loss: 4.785e-01]
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my_first_lora_v6:  52%|#####2    | 3139/6000 [03:25<1:10:37,  1.48s/it, lr: 1.0e-04 loss: 1.514e-01]
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my_first_lora_v6:  52%|#####2    | 3141/6000 [03:29<1:10:38,  1.48s/it, lr: 1.0e-04 loss: 7.788e-01]
my_first_lora_v6:  52%|#####2    | 3141/6000 [03:29<1:10:38,  1.48s/it, lr: 1.0e-04 loss: 7.788e-01]
my_first_lora_v6:  52%|#####2    | 3142/6000 [03:29<1:10:20,  1.48s/it, lr: 1.0e-04 loss: 5.849e-01]
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my_first_lora_v6:  52%|#####2    | 3143/6000 [03:32<1:10:42,  1.49s/it, lr: 1.0e-04 loss: 2.606e-01]
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my_first_lora_v6:  52%|#####2    | 3145/6000 [03:35<1:10:34,  1.48s/it, lr: 1.0e-04 loss: 4.137e-01]
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my_first_lora_v6:  53%|#####3    | 3209/6000 [05:06<1:08:12,  1.47s/it, lr: 1.0e-04 loss: 3.611e-01]
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my_first_lora_v6:  54%|#####3    | 3210/6000 [05:08<1:08:24,  1.47s/it, lr: 1.0e-04 loss: 1.574e-01]
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my_first_lora_v6:  54%|#####3    | 3211/6000 [05:10<1:08:21,  1.47s/it, lr: 1.0e-04 loss: 4.074e-02]
my_first_lora_v6:  54%|#####3    | 3211/6000 [05:10<1:08:21,  1.47s/it, lr: 1.0e-04 loss: 4.074e-02]
my_first_lora_v6:  54%|#####3    | 3212/6000 [05:11<1:08:18,  1.47s/it, lr: 1.0e-04 loss: 5.416e-01]
my_first_lora_v6:  54%|#####3    | 3212/6000 [05:11<1:08:18,  1.47s/it, lr: 1.0e-04 loss: 5.416e-01]
my_first_lora_v6:  54%|#####3    | 3213/6000 [05:12<1:08:06,  1.47s/it, lr: 1.0e-04 loss: 7.544e-01]
my_first_lora_v6:  54%|#####3    | 3213/6000 [05:12<1:08:06,  1.47s/it, lr: 1.0e-04 loss: 7.544e-01]
my_first_lora_v6:  54%|#####3    | 3214/6000 [05:14<1:08:17,  1.47s/it, lr: 1.0e-04 loss: 5.605e-01]
my_first_lora_v6:  54%|#####3    | 3214/6000 [05:14<1:08:17,  1.47s/it, lr: 1.0e-04 loss: 5.605e-01]
my_first_lora_v6:  54%|#####3    | 3215/6000 [05:16<1:08:14,  1.47s/it, lr: 1.0e-04 loss: 7.618e-01]
my_first_lora_v6:  54%|#####3    | 3215/6000 [05:16<1:08:14,  1.47s/it, lr: 1.0e-04 loss: 7.618e-01]
my_first_lora_v6:  54%|#####3    | 3216/6000 [05:18<1:08:25,  1.47s/it, lr: 1.0e-04 loss: 6.515e-01]
my_first_lora_v6:  54%|#####3    | 3216/6000 [05:18<1:08:25,  1.47s/it, lr: 1.0e-04 loss: 6.515e-01]
my_first_lora_v6:  54%|#####3    | 3217/6000 [05:19<1:08:13,  1.47s/it, lr: 1.0e-04 loss: 2.409e-01]
my_first_lora_v6:  54%|#####3    | 3217/6000 [05:19<1:08:13,  1.47s/it, lr: 1.0e-04 loss: 2.409e-01]
my_first_lora_v6:  54%|#####3    | 3218/6000 [05:19<1:08:02,  1.47s/it, lr: 1.0e-04 loss: 5.209e-01]
my_first_lora_v6:  54%|#####3    | 3218/6000 [05:19<1:08:02,  1.47s/it, lr: 1.0e-04 loss: 5.209e-01]
my_first_lora_v6:  54%|#####3    | 3219/6000 [05:21<1:07:59,  1.47s/it, lr: 1.0e-04 loss: 2.938e-01]
my_first_lora_v6:  54%|#####3    | 3219/6000 [05:21<1:07:59,  1.47s/it, lr: 1.0e-04 loss: 2.938e-01]
my_first_lora_v6:  54%|#####3    | 3220/6000 [05:22<1:07:54,  1.47s/it, lr: 1.0e-04 loss: 5.944e-01]
my_first_lora_v6:  54%|#####3    | 3220/6000 [05:22<1:07:54,  1.47s/it, lr: 1.0e-04 loss: 5.944e-01]
my_first_lora_v6:  54%|#####3    | 3221/6000 [05:23<1:07:49,  1.46s/it, lr: 1.0e-04 loss: 7.504e-01]
my_first_lora_v6:  54%|#####3    | 3221/6000 [05:23<1:07:49,  1.46s/it, lr: 1.0e-04 loss: 7.504e-01]
my_first_lora_v6:  54%|#####3    | 3222/6000 [05:24<1:07:46,  1.46s/it, lr: 1.0e-04 loss: 5.518e-01]
my_first_lora_v6:  54%|#####3    | 3222/6000 [05:24<1:07:46,  1.46s/it, lr: 1.0e-04 loss: 5.518e-01]
my_first_lora_v6:  54%|#####3    | 3223/6000 [05:27<1:07:54,  1.47s/it, lr: 1.0e-04 loss: 5.312e-02]
my_first_lora_v6:  54%|#####3    | 3223/6000 [05:27<1:07:54,  1.47s/it, lr: 1.0e-04 loss: 5.312e-02]
my_first_lora_v6:  54%|#####3    | 3224/6000 [05:29<1:08:02,  1.47s/it, lr: 1.0e-04 loss: 4.408e-01]
my_first_lora_v6:  54%|#####3    | 3224/6000 [05:29<1:08:02,  1.47s/it, lr: 1.0e-04 loss: 4.408e-01]
my_first_lora_v6:  54%|#####3    | 3225/6000 [05:30<1:07:52,  1.47s/it, lr: 1.0e-04 loss: 1.478e-01]
my_first_lora_v6:  54%|#####3    | 3225/6000 [05:30<1:07:52,  1.47s/it, lr: 1.0e-04 loss: 1.478e-01]
my_first_lora_v6:  54%|#####3    | 3226/6000 [05:32<1:08:06,  1.47s/it, lr: 1.0e-04 loss: 6.308e-01]
my_first_lora_v6:  54%|#####3    | 3226/6000 [05:32<1:08:06,  1.47s/it, lr: 1.0e-04 loss: 6.308e-01]
my_first_lora_v6:  54%|#####3    | 3227/6000 [05:33<1:07:55,  1.47s/it, lr: 1.0e-04 loss: 7.804e-01]
my_first_lora_v6:  54%|#####3    | 3227/6000 [05:33<1:07:55,  1.47s/it, lr: 1.0e-04 loss: 7.804e-01]
my_first_lora_v6:  54%|#####3    | 3228/6000 [05:34<1:07:44,  1.47s/it, lr: 1.0e-04 loss: 3.649e-01]
my_first_lora_v6:  54%|#####3    | 3228/6000 [05:34<1:07:44,  1.47s/it, lr: 1.0e-04 loss: 3.649e-01]
my_first_lora_v6:  54%|#####3    | 3229/6000 [05:36<1:07:56,  1.47s/it, lr: 1.0e-04 loss: 1.049e-01]
my_first_lora_v6:  54%|#####3    | 3229/6000 [05:36<1:07:56,  1.47s/it, lr: 1.0e-04 loss: 1.049e-01]
my_first_lora_v6:  54%|#####3    | 3230/6000 [05:38<1:07:53,  1.47s/it, lr: 1.0e-04 loss: 7.166e-01]
my_first_lora_v6:  54%|#####3    | 3230/6000 [05:38<1:07:53,  1.47s/it, lr: 1.0e-04 loss: 7.166e-01]
my_first_lora_v6:  54%|#####3    | 3231/6000 [05:39<1:07:51,  1.47s/it, lr: 1.0e-04 loss: 3.220e-01]
my_first_lora_v6:  54%|#####3    | 3231/6000 [05:39<1:07:51,  1.47s/it, lr: 1.0e-04 loss: 3.220e-01]
my_first_lora_v6:  54%|#####3    | 3232/6000 [05:40<1:07:40,  1.47s/it, lr: 1.0e-04 loss: 9.828e-02]
my_first_lora_v6:  54%|#####3    | 3232/6000 [05:40<1:07:40,  1.47s/it, lr: 1.0e-04 loss: 9.828e-02]
my_first_lora_v6:  54%|#####3    | 3233/6000 [05:41<1:07:38,  1.47s/it, lr: 1.0e-04 loss: 6.423e-01]
my_first_lora_v6:  54%|#####3    | 3233/6000 [05:41<1:07:38,  1.47s/it, lr: 1.0e-04 loss: 6.423e-01]
my_first_lora_v6:  54%|#####3    | 3234/6000 [05:42<1:07:27,  1.46s/it, lr: 1.0e-04 loss: 7.839e-01]
my_first_lora_v6:  54%|#####3    | 3234/6000 [05:42<1:07:27,  1.46s/it, lr: 1.0e-04 loss: 7.839e-01]
my_first_lora_v6:  54%|#####3    | 3235/6000 [05:43<1:07:25,  1.46s/it, lr: 1.0e-04 loss: 1.063e-01]
my_first_lora_v6:  54%|#####3    | 3235/6000 [05:43<1:07:25,  1.46s/it, lr: 1.0e-04 loss: 1.063e-01]
my_first_lora_v6:  54%|#####3    | 3236/6000 [05:46<1:07:35,  1.47s/it, lr: 1.0e-04 loss: 5.809e-01]
my_first_lora_v6:  54%|#####3    | 3236/6000 [05:46<1:07:35,  1.47s/it, lr: 1.0e-04 loss: 5.809e-01]
my_first_lora_v6:  54%|#####3    | 3237/6000 [05:48<1:07:45,  1.47s/it, lr: 1.0e-04 loss: 2.373e-01]
my_first_lora_v6:  54%|#####3    | 3237/6000 [05:48<1:07:45,  1.47s/it, lr: 1.0e-04 loss: 2.373e-01]
my_first_lora_v6:  54%|#####3    | 3238/6000 [05:50<1:07:43,  1.47s/it, lr: 1.0e-04 loss: 7.868e-01]
my_first_lora_v6:  54%|#####3    | 3238/6000 [05:50<1:07:43,  1.47s/it, lr: 1.0e-04 loss: 7.868e-01]
my_first_lora_v6:  54%|#####3    | 3239/6000 [05:51<1:07:42,  1.47s/it, lr: 1.0e-04 loss: 4.116e-01]
my_first_lora_v6:  54%|#####3    | 3239/6000 [05:51<1:07:42,  1.47s/it, lr: 1.0e-04 loss: 4.116e-01]
my_first_lora_v6:  54%|#####4    | 3240/6000 [05:54<1:07:55,  1.48s/it, lr: 1.0e-04 loss: 6.988e-01]
my_first_lora_v6:  54%|#####4    | 3240/6000 [05:54<1:07:55,  1.48s/it, lr: 1.0e-04 loss: 6.988e-01]
my_first_lora_v6:  54%|#####4    | 3241/6000 [05:55<1:07:45,  1.47s/it, lr: 1.0e-04 loss: 3.902e-01]
my_first_lora_v6:  54%|#####4    | 3241/6000 [05:55<1:07:45,  1.47s/it, lr: 1.0e-04 loss: 3.902e-01]
my_first_lora_v6:  54%|#####4    | 3242/6000 [05:57<1:07:52,  1.48s/it, lr: 1.0e-04 loss: 4.973e-01]
my_first_lora_v6:  54%|#####4    | 3242/6000 [05:57<1:07:52,  1.48s/it, lr: 1.0e-04 loss: 4.973e-01]
my_first_lora_v6:  54%|#####4    | 3243/6000 [05:59<1:08:02,  1.48s/it, lr: 1.0e-04 loss: 5.535e-01]
my_first_lora_v6:  54%|#####4    | 3243/6000 [05:59<1:08:02,  1.48s/it, lr: 1.0e-04 loss: 5.535e-01]
my_first_lora_v6:  54%|#####4    | 3244/6000 [06:00<1:07:56,  1.48s/it, lr: 1.0e-04 loss: 3.146e-01]
my_first_lora_v6:  54%|#####4    | 3244/6000 [06:00<1:07:56,  1.48s/it, lr: 1.0e-04 loss: 3.146e-01]
my_first_lora_v6:  54%|#####4    | 3245/6000 [06:02<1:07:53,  1.48s/it, lr: 1.0e-04 loss: 4.553e-01]
my_first_lora_v6:  54%|#####4    | 3245/6000 [06:02<1:07:53,  1.48s/it, lr: 1.0e-04 loss: 4.553e-01]
my_first_lora_v6:  54%|#####4    | 3246/6000 [06:02<1:07:43,  1.48s/it, lr: 1.0e-04 loss: 9.520e-02]
my_first_lora_v6:  54%|#####4    | 3246/6000 [06:02<1:07:43,  1.48s/it, lr: 1.0e-04 loss: 9.520e-02]
my_first_lora_v6:  54%|#####4    | 3247/6000 [06:04<1:07:41,  1.48s/it, lr: 1.0e-04 loss: 3.137e-01]
my_first_lora_v6:  54%|#####4    | 3247/6000 [06:04<1:07:41,  1.48s/it, lr: 1.0e-04 loss: 3.137e-01]
my_first_lora_v6:  54%|#####4    | 3248/6000 [06:05<1:07:30,  1.47s/it, lr: 1.0e-04 loss: 6.591e-01]
my_first_lora_v6:  54%|#####4    | 3248/6000 [06:05<1:07:30,  1.47s/it, lr: 1.0e-04 loss: 6.591e-01]
my_first_lora_v6:  54%|#####4    | 3249/6000 [06:06<1:07:28,  1.47s/it, lr: 1.0e-04 loss: 8.874e-02]
my_first_lora_v6:  54%|#####4    | 3249/6000 [06:06<1:07:28,  1.47s/it, lr: 1.0e-04 loss: 8.874e-02]Unloading assistant lora



Generating Images:   0%|          | 0/5 [00:00<?, ?it/s]
Generating Images:   0%|          | 0/5 [00:00<?, ?it/s]


Generating Images:  20%|##        | 1/5 [00:07<00:31,  7.90s/it]
Generating Images:  20%|##        | 1/5 [00:07<00:31,  7.90s/it]


Generating Images:  40%|####      | 2/5 [00:15<00:23,  7.82s/it]
Generating Images:  40%|####      | 2/5 [00:15<00:23,  7.82s/it]


Generating Images:  60%|######    | 3/5 [00:23<00:15,  7.80s/it]
Generating Images:  60%|######    | 3/5 [00:23<00:15,  7.80s/it]


Generating Images:  80%|########  | 4/5 [00:31<00:07,  7.78s/it]
Generating Images:  80%|########  | 4/5 [00:31<00:07,  7.78s/it]


Generating Images: 100%|##########| 5/5 [00:38<00:00,  7.74s/it]
Generating Images: 100%|##########| 5/5 [00:38<00:00,  7.74s/it]


                                                                
                                                                Loading assistant lora

my_first_lora_v6:  54%|#####4    | 3250/6000 [06:08<1:07:37,  1.48s/it, lr: 1.0e-04 loss: 6.195e-01]
my_first_lora_v6:  54%|#####4    | 3250/6000 [06:08<1:07:37,  1.48s/it, lr: 1.0e-04 loss: 6.195e-01]
my_first_lora_v6:  54%|#####4    | 3251/6000 [06:09<1:07:27,  1.47s/it, lr: 1.0e-04 loss: 5.248e-01]
my_first_lora_v6:  54%|#####4    | 3251/6000 [06:09<1:07:27,  1.47s/it, lr: 1.0e-04 loss: 5.248e-01]
my_first_lora_v6:  54%|#####4    | 3252/6000 [06:10<1:07:24,  1.47s/it, lr: 1.0e-04 loss: 2.263e-01]
my_first_lora_v6:  54%|#####4    | 3252/6000 [06:10<1:07:24,  1.47s/it, lr: 1.0e-04 loss: 2.263e-01]
my_first_lora_v6:  54%|#####4    | 3253/6000 [06:13<1:07:34,  1.48s/it, lr: 1.0e-04 loss: 7.448e-01]
my_first_lora_v6:  54%|#####4    | 3253/6000 [06:13<1:07:34,  1.48s/it, lr: 1.0e-04 loss: 7.448e-01]
my_first_lora_v6:  54%|#####4    | 3254/6000 [06:14<1:07:31,  1.48s/it, lr: 1.0e-04 loss: 7.282e-01]
my_first_lora_v6:  54%|#####4    | 3254/6000 [06:14<1:07:31,  1.48s/it, lr: 1.0e-04 loss: 7.282e-01]
my_first_lora_v6:  54%|#####4    | 3255/6000 [06:16<1:07:38,  1.48s/it, lr: 1.0e-04 loss: 3.846e-02]
my_first_lora_v6:  54%|#####4    | 3255/6000 [06:16<1:07:38,  1.48s/it, lr: 1.0e-04 loss: 3.846e-02]
my_first_lora_v6:  54%|#####4    | 3256/6000 [06:18<1:07:33,  1.48s/it, lr: 1.0e-04 loss: 6.324e-01]
my_first_lora_v6:  54%|#####4    | 3256/6000 [06:18<1:07:33,  1.48s/it, lr: 1.0e-04 loss: 6.324e-01]
my_first_lora_v6:  54%|#####4    | 3257/6000 [06:18<1:07:23,  1.47s/it, lr: 1.0e-04 loss: 5.317e-01]
my_first_lora_v6:  54%|#####4    | 3257/6000 [06:18<1:07:23,  1.47s/it, lr: 1.0e-04 loss: 5.317e-01]
my_first_lora_v6:  54%|#####4    | 3258/6000 [06:19<1:07:18,  1.47s/it, lr: 1.0e-04 loss: 8.411e-01]
my_first_lora_v6:  54%|#####4    | 3258/6000 [06:19<1:07:18,  1.47s/it, lr: 1.0e-04 loss: 8.411e-01]
my_first_lora_v6:  54%|#####4    | 3259/6000 [06:20<1:07:08,  1.47s/it, lr: 1.0e-04 loss: 7.845e-01]
my_first_lora_v6:  54%|#####4    | 3259/6000 [06:20<1:07:08,  1.47s/it, lr: 1.0e-04 loss: 7.845e-01]
my_first_lora_v6:  54%|#####4    | 3260/6000 [06:23<1:07:17,  1.47s/it, lr: 1.0e-04 loss: 6.734e-01]
my_first_lora_v6:  54%|#####4    | 3260/6000 [06:23<1:07:17,  1.47s/it, lr: 1.0e-04 loss: 6.734e-01]
my_first_lora_v6:  54%|#####4    | 3261/6000 [06:24<1:07:14,  1.47s/it, lr: 1.0e-04 loss: 3.788e-01]
my_first_lora_v6:  54%|#####4    | 3261/6000 [06:24<1:07:14,  1.47s/it, lr: 1.0e-04 loss: 3.788e-01]
my_first_lora_v6:  54%|#####4    | 3262/6000 [06:25<1:07:05,  1.47s/it, lr: 1.0e-04 loss: 2.001e-01]
my_first_lora_v6:  54%|#####4    | 3262/6000 [06:25<1:07:05,  1.47s/it, lr: 1.0e-04 loss: 2.001e-01]
my_first_lora_v6:  54%|#####4    | 3263/6000 [06:26<1:06:59,  1.47s/it, lr: 1.0e-04 loss: 2.656e-01]
my_first_lora_v6:  54%|#####4    | 3263/6000 [06:26<1:06:59,  1.47s/it, lr: 1.0e-04 loss: 2.656e-01]
my_first_lora_v6:  54%|#####4    | 3264/6000 [06:27<1:07:00,  1.47s/it, lr: 1.0e-04 loss: 2.172e-01]
my_first_lora_v6:  54%|#####4    | 3264/6000 [06:27<1:07:00,  1.47s/it, lr: 1.0e-04 loss: 2.172e-01]
my_first_lora_v6:  54%|#####4    | 3265/6000 [06:29<1:06:57,  1.47s/it, lr: 1.0e-04 loss: 2.083e-01]
my_first_lora_v6:  54%|#####4    | 3265/6000 [06:29<1:06:57,  1.47s/it, lr: 1.0e-04 loss: 2.083e-01]
my_first_lora_v6:  54%|#####4    | 3266/6000 [06:30<1:06:48,  1.47s/it, lr: 1.0e-04 loss: 3.683e-01]
my_first_lora_v6:  54%|#####4    | 3266/6000 [06:30<1:06:48,  1.47s/it, lr: 1.0e-04 loss: 3.683e-01]
my_first_lora_v6:  54%|#####4    | 3267/6000 [06:31<1:06:46,  1.47s/it, lr: 1.0e-04 loss: 3.004e-01]
my_first_lora_v6:  54%|#####4    | 3267/6000 [06:31<1:06:46,  1.47s/it, lr: 1.0e-04 loss: 3.004e-01]
my_first_lora_v6:  54%|#####4    | 3268/6000 [06:33<1:06:55,  1.47s/it, lr: 1.0e-04 loss: 1.183e-01]
my_first_lora_v6:  54%|#####4    | 3268/6000 [06:33<1:06:55,  1.47s/it, lr: 1.0e-04 loss: 1.183e-01]
my_first_lora_v6:  54%|#####4    | 3269/6000 [06:36<1:07:01,  1.47s/it, lr: 1.0e-04 loss: 6.541e-01]
my_first_lora_v6:  54%|#####4    | 3269/6000 [06:36<1:07:01,  1.47s/it, lr: 1.0e-04 loss: 6.541e-01]
my_first_lora_v6:  55%|#####4    | 3270/6000 [06:37<1:06:58,  1.47s/it, lr: 1.0e-04 loss: 7.537e-01]
my_first_lora_v6:  55%|#####4    | 3270/6000 [06:37<1:06:58,  1.47s/it, lr: 1.0e-04 loss: 7.537e-01]
my_first_lora_v6:  55%|#####4    | 3271/6000 [06:38<1:06:49,  1.47s/it, lr: 1.0e-04 loss: 3.572e-01]
my_first_lora_v6:  55%|#####4    | 3271/6000 [06:38<1:06:49,  1.47s/it, lr: 1.0e-04 loss: 3.572e-01]
my_first_lora_v6:  55%|#####4    | 3272/6000 [06:38<1:06:40,  1.47s/it, lr: 1.0e-04 loss: 7.445e-01]
my_first_lora_v6:  55%|#####4    | 3272/6000 [06:38<1:06:40,  1.47s/it, lr: 1.0e-04 loss: 7.445e-01]
my_first_lora_v6:  55%|#####4    | 3273/6000 [06:40<1:06:37,  1.47s/it, lr: 1.0e-04 loss: 1.092e-01]
my_first_lora_v6:  55%|#####4    | 3273/6000 [06:40<1:06:37,  1.47s/it, lr: 1.0e-04 loss: 1.092e-01]
my_first_lora_v6:  55%|#####4    | 3274/6000 [06:42<1:06:45,  1.47s/it, lr: 1.0e-04 loss: 1.804e-02]
my_first_lora_v6:  55%|#####4    | 3274/6000 [06:42<1:06:45,  1.47s/it, lr: 1.0e-04 loss: 1.804e-02]
my_first_lora_v6:  55%|#####4    | 3275/6000 [06:43<1:06:36,  1.47s/it, lr: 1.0e-04 loss: 1.709e-01]
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my_first_lora_v6:  55%|#####4    | 3276/6000 [06:45<1:06:42,  1.47s/it, lr: 1.0e-04 loss: 1.871e-01]
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my_first_lora_v6:  55%|#####4    | 3277/6000 [06:46<1:06:33,  1.47s/it, lr: 1.0e-04 loss: 1.528e-01]
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my_first_lora_v6:  55%|#####4    | 3278/6000 [06:48<1:06:44,  1.47s/it, lr: 1.0e-04 loss: 3.576e-01]
my_first_lora_v6:  55%|#####4    | 3278/6000 [06:48<1:06:44,  1.47s/it, lr: 1.0e-04 loss: 3.576e-01]
my_first_lora_v6:  55%|#####4    | 3279/6000 [06:50<1:06:40,  1.47s/it, lr: 1.0e-04 loss: 3.951e-01]
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my_first_lora_v6:  55%|#####4    | 3280/6000 [06:50<1:06:30,  1.47s/it, lr: 1.0e-04 loss: 2.183e-01]
my_first_lora_v6:  55%|#####4    | 3280/6000 [06:50<1:06:30,  1.47s/it, lr: 1.0e-04 loss: 2.183e-01]
my_first_lora_v6:  55%|#####4    | 3281/6000 [06:52<1:06:28,  1.47s/it, lr: 1.0e-04 loss: 7.397e-01]
my_first_lora_v6:  55%|#####4    | 3281/6000 [06:52<1:06:28,  1.47s/it, lr: 1.0e-04 loss: 7.397e-01]
my_first_lora_v6:  55%|#####4    | 3282/6000 [06:54<1:06:36,  1.47s/it, lr: 1.0e-04 loss: 7.517e-01]
my_first_lora_v6:  55%|#####4    | 3282/6000 [06:54<1:06:36,  1.47s/it, lr: 1.0e-04 loss: 7.517e-01]
my_first_lora_v6:  55%|#####4    | 3283/6000 [06:55<1:06:32,  1.47s/it, lr: 1.0e-04 loss: 6.334e-01]
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my_first_lora_v6:  55%|#####4    | 3284/6000 [06:58<1:06:42,  1.47s/it, lr: 1.0e-04 loss: 3.023e-01]
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my_first_lora_v6:  55%|#####4    | 3285/6000 [06:59<1:06:40,  1.47s/it, lr: 1.0e-04 loss: 7.408e-01]
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my_first_lora_v6:  55%|#####4    | 3286/6000 [07:00<1:06:31,  1.47s/it, lr: 1.0e-04 loss: 3.267e-01]
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my_first_lora_v6:  55%|#####4    | 3287/6000 [07:02<1:06:31,  1.47s/it, lr: 1.0e-04 loss: 1.272e-01]
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my_first_lora_v6:  55%|#####4    | 3288/6000 [07:02<1:06:22,  1.47s/it, lr: 1.0e-04 loss: 4.570e-01]
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my_first_lora_v6:  55%|#####4    | 3289/6000 [07:03<1:06:14,  1.47s/it, lr: 1.0e-04 loss: 5.341e-01]
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my_first_lora_v6:  55%|#####4    | 3290/6000 [07:04<1:06:10,  1.46s/it, lr: 1.0e-04 loss: 1.968e-01]
my_first_lora_v6:  55%|#####4    | 3290/6000 [07:04<1:06:10,  1.46s/it, lr: 1.0e-04 loss: 1.968e-01]
my_first_lora_v6:  55%|#####4    | 3291/6000 [07:07<1:06:18,  1.47s/it, lr: 1.0e-04 loss: 1.640e-01]
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my_first_lora_v6:  55%|#####4    | 3292/6000 [07:08<1:06:13,  1.47s/it, lr: 1.0e-04 loss: 6.878e-01]
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my_first_lora_v6:  55%|#####4    | 3295/6000 [07:14<1:06:26,  1.47s/it, lr: 1.0e-04 loss: 6.602e-01]
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my_first_lora_v6:  55%|#####4    | 3296/6000 [07:16<1:06:23,  1.47s/it, lr: 1.0e-04 loss: 6.113e-01]
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my_first_lora_v6:  55%|#####4    | 3297/6000 [07:18<1:06:33,  1.48s/it, lr: 1.0e-04 loss: 2.853e-01]
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my_first_lora_v6:  55%|#####4    | 3298/6000 [07:19<1:06:25,  1.47s/it, lr: 1.0e-04 loss: 3.435e-01]
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my_first_lora_v6:  55%|#####4    | 3299/6000 [07:20<1:06:22,  1.47s/it, lr: 1.0e-04 loss: 2.034e-01]
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my_first_lora_v6:  55%|#####5    | 3300/6000 [07:22<1:06:20,  1.47s/it, lr: 1.0e-04 loss: 7.343e-01]
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my_first_lora_v6:  55%|#####5    | 3301/6000 [07:22<1:06:11,  1.47s/it, lr: 1.0e-04 loss: 6.067e-01]
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my_first_lora_v6:  55%|#####5    | 3302/6000 [07:24<1:06:07,  1.47s/it, lr: 1.0e-04 loss: 4.280e-01]
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my_first_lora_v6:  55%|#####5    | 3303/6000 [07:26<1:06:13,  1.47s/it, lr: 1.0e-04 loss: 2.074e-01]
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my_first_lora_v6:  55%|#####5    | 3304/6000 [07:28<1:06:18,  1.48s/it, lr: 1.0e-04 loss: 7.244e-01]
my_first_lora_v6:  55%|#####5    | 3304/6000 [07:28<1:06:18,  1.48s/it, lr: 1.0e-04 loss: 7.244e-01]
my_first_lora_v6:  55%|#####5    | 3305/6000 [07:29<1:06:15,  1.48s/it, lr: 1.0e-04 loss: 1.664e-01]
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my_first_lora_v6:  55%|#####5    | 3306/6000 [07:30<1:06:07,  1.47s/it, lr: 1.0e-04 loss: 6.346e-01]
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my_first_lora_v6:  55%|#####5    | 3307/6000 [07:33<1:06:16,  1.48s/it, lr: 1.0e-04 loss: 3.120e-01]
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my_first_lora_v6:  55%|#####5    | 3308/6000 [07:34<1:06:08,  1.47s/it, lr: 1.0e-04 loss: 1.306e-01]
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my_first_lora_v6:  55%|#####5    | 3309/6000 [07:34<1:06:00,  1.47s/it, lr: 1.0e-04 loss: 7.620e-01]
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my_first_lora_v6:  55%|#####5    | 3310/6000 [07:36<1:05:57,  1.47s/it, lr: 1.0e-04 loss: 1.225e-01]
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my_first_lora_v6:  55%|#####5    | 3311/6000 [07:37<1:05:55,  1.47s/it, lr: 1.0e-04 loss: 2.244e-01]
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my_first_lora_v6:  55%|#####5    | 3312/6000 [07:38<1:05:52,  1.47s/it, lr: 1.0e-04 loss: 6.139e-01]
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my_first_lora_v6:  55%|#####5    | 3313/6000 [07:40<1:05:50,  1.47s/it, lr: 1.0e-04 loss: 6.684e-01]
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my_first_lora_v6:  55%|#####5    | 3314/6000 [07:42<1:05:59,  1.47s/it, lr: 1.0e-04 loss: 1.088e-01]
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my_first_lora_v6:  55%|#####5    | 3315/6000 [07:43<1:05:52,  1.47s/it, lr: 1.0e-04 loss: 5.675e-01]
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my_first_lora_v6:  55%|#####5    | 3316/6000 [07:45<1:05:57,  1.47s/it, lr: 1.0e-04 loss: 2.157e-01]
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my_first_lora_v6:  55%|#####5    | 3317/6000 [07:46<1:05:49,  1.47s/it, lr: 1.0e-04 loss: 4.984e-01]
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my_first_lora_v6:  55%|#####5    | 3318/6000 [07:47<1:05:46,  1.47s/it, lr: 1.0e-04 loss: 4.159e-01]
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my_first_lora_v6:  55%|#####5    | 3319/6000 [07:48<1:05:38,  1.47s/it, lr: 1.0e-04 loss: 4.639e-02]
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my_first_lora_v6:  55%|#####5    | 3320/6000 [07:49<1:05:31,  1.47s/it, lr: 1.0e-04 loss: 3.846e-01]
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my_first_lora_v6:  55%|#####5    | 3321/6000 [07:50<1:05:28,  1.47s/it, lr: 1.0e-04 loss: 2.205e-01]
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my_first_lora_v6:  55%|#####5    | 3322/6000 [07:51<1:05:24,  1.47s/it, lr: 1.0e-04 loss: 2.617e-01]
my_first_lora_v6:  55%|#####5    | 3322/6000 [07:51<1:05:24,  1.47s/it, lr: 1.0e-04 loss: 2.617e-01]
my_first_lora_v6:  55%|#####5    | 3323/6000 [07:52<1:05:16,  1.46s/it, lr: 1.0e-04 loss: 6.831e-01]
my_first_lora_v6:  55%|#####5    | 3323/6000 [07:52<1:05:16,  1.46s/it, lr: 1.0e-04 loss: 6.831e-01]
my_first_lora_v6:  55%|#####5    | 3324/6000 [07:53<1:05:14,  1.46s/it, lr: 1.0e-04 loss: 2.771e-01]
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my_first_lora_v6:  55%|#####5    | 3325/6000 [07:55<1:05:11,  1.46s/it, lr: 1.0e-04 loss: 6.610e-01]
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my_first_lora_v6:  55%|#####5    | 3326/6000 [07:57<1:05:18,  1.47s/it, lr: 1.0e-04 loss: 7.358e-01]
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my_first_lora_v6:  55%|#####5    | 3327/6000 [07:58<1:05:11,  1.46s/it, lr: 1.0e-04 loss: 2.949e-01]
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my_first_lora_v6:  55%|#####5    | 3328/6000 [08:00<1:05:16,  1.47s/it, lr: 1.0e-04 loss: 5.671e-01]
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my_first_lora_v6:  55%|#####5    | 3329/6000 [08:01<1:05:12,  1.46s/it, lr: 1.0e-04 loss: 2.174e-01]
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my_first_lora_v6:  56%|#####5    | 3330/6000 [08:04<1:05:19,  1.47s/it, lr: 1.0e-04 loss: 5.532e-01]
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my_first_lora_v6:  56%|#####5    | 3331/6000 [08:06<1:05:25,  1.47s/it, lr: 1.0e-04 loss: 3.642e-01]
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my_first_lora_v6:  56%|#####5    | 3332/6000 [08:09<1:05:32,  1.47s/it, lr: 1.0e-04 loss: 6.621e-01]
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my_first_lora_v6:  56%|#####5    | 3333/6000 [08:10<1:05:30,  1.47s/it, lr: 1.0e-04 loss: 3.127e-01]
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my_first_lora_v6:  56%|#####5    | 3334/6000 [08:11<1:05:22,  1.47s/it, lr: 1.0e-04 loss: 3.300e-01]
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my_first_lora_v6:  56%|#####5    | 3335/6000 [08:12<1:05:21,  1.47s/it, lr: 1.0e-04 loss: 2.077e-01]
my_first_lora_v6:  56%|#####5    | 3335/6000 [08:12<1:05:21,  1.47s/it, lr: 1.0e-04 loss: 2.077e-01]
my_first_lora_v6:  56%|#####5    | 3336/6000 [08:15<1:05:30,  1.48s/it, lr: 1.0e-04 loss: 6.986e-01]
my_first_lora_v6:  56%|#####5    | 3336/6000 [08:15<1:05:30,  1.48s/it, lr: 1.0e-04 loss: 6.986e-01]
my_first_lora_v6:  56%|#####5    | 3337/6000 [08:16<1:05:22,  1.47s/it, lr: 1.0e-04 loss: 4.274e-01]
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my_first_lora_v6:  56%|#####5    | 3338/6000 [08:17<1:05:19,  1.47s/it, lr: 1.0e-04 loss: 3.130e-01]
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my_first_lora_v6:  56%|#####5    | 3339/6000 [08:18<1:05:12,  1.47s/it, lr: 1.0e-04 loss: 7.366e-01]
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my_first_lora_v6:  56%|#####5    | 3340/6000 [08:20<1:05:18,  1.47s/it, lr: 1.0e-04 loss: 6.324e-01]
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my_first_lora_v6:  56%|#####5    | 3341/6000 [08:23<1:05:27,  1.48s/it, lr: 1.0e-04 loss: 5.562e-01]
my_first_lora_v6:  56%|#####5    | 3341/6000 [08:23<1:05:27,  1.48s/it, lr: 1.0e-04 loss: 5.562e-01]
my_first_lora_v6:  56%|#####5    | 3342/6000 [08:24<1:05:19,  1.47s/it, lr: 1.0e-04 loss: 2.769e-01]
my_first_lora_v6:  56%|#####5    | 3342/6000 [08:24<1:05:19,  1.47s/it, lr: 1.0e-04 loss: 2.769e-01]
my_first_lora_v6:  56%|#####5    | 3343/6000 [08:25<1:05:17,  1.47s/it, lr: 1.0e-04 loss: 7.362e-01]
my_first_lora_v6:  56%|#####5    | 3343/6000 [08:25<1:05:17,  1.47s/it, lr: 1.0e-04 loss: 7.362e-01]
my_first_lora_v6:  56%|#####5    | 3344/6000 [08:27<1:05:21,  1.48s/it, lr: 1.0e-04 loss: 4.603e-01]
my_first_lora_v6:  56%|#####5    | 3344/6000 [08:27<1:05:21,  1.48s/it, lr: 1.0e-04 loss: 4.603e-01]
my_first_lora_v6:  56%|#####5    | 3345/6000 [08:28<1:05:13,  1.47s/it, lr: 1.0e-04 loss: 1.536e-01]
my_first_lora_v6:  56%|#####5    | 3345/6000 [08:28<1:05:13,  1.47s/it, lr: 1.0e-04 loss: 1.536e-01]
my_first_lora_v6:  56%|#####5    | 3346/6000 [08:29<1:05:09,  1.47s/it, lr: 1.0e-04 loss: 7.935e-01]
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my_first_lora_v6:  56%|#####5    | 3347/6000 [08:30<1:05:02,  1.47s/it, lr: 1.0e-04 loss: 5.964e-01]
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my_first_lora_v6:  56%|#####5    | 3348/6000 [08:31<1:04:55,  1.47s/it, lr: 1.0e-04 loss: 4.089e-01]
my_first_lora_v6:  56%|#####5    | 3348/6000 [08:31<1:04:55,  1.47s/it, lr: 1.0e-04 loss: 4.089e-01]
my_first_lora_v6:  56%|#####5    | 3349/6000 [08:33<1:05:01,  1.47s/it, lr: 1.0e-04 loss: 4.278e-01]
my_first_lora_v6:  56%|#####5    | 3349/6000 [08:33<1:05:01,  1.47s/it, lr: 1.0e-04 loss: 4.278e-01]
my_first_lora_v6:  56%|#####5    | 3350/6000 [08:35<1:04:59,  1.47s/it, lr: 1.0e-04 loss: 8.049e-02]
my_first_lora_v6:  56%|#####5    | 3350/6000 [08:35<1:04:59,  1.47s/it, lr: 1.0e-04 loss: 8.049e-02]
my_first_lora_v6:  56%|#####5    | 3351/6000 [08:35<1:04:54,  1.47s/it, lr: 1.0e-04 loss: 5.613e-01]
my_first_lora_v6:  56%|#####5    | 3351/6000 [08:35<1:04:54,  1.47s/it, lr: 1.0e-04 loss: 5.613e-01]
my_first_lora_v6:  56%|#####5    | 3352/6000 [08:37<1:04:51,  1.47s/it, lr: 1.0e-04 loss: 3.877e-01]
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my_first_lora_v6:  56%|#####5    | 3353/6000 [08:38<1:04:49,  1.47s/it, lr: 1.0e-04 loss: 6.690e-01]
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my_first_lora_v6:  56%|#####5    | 3354/6000 [08:39<1:04:45,  1.47s/it, lr: 1.0e-04 loss: 2.214e-01]
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my_first_lora_v6:  56%|#####5    | 3355/6000 [08:41<1:04:43,  1.47s/it, lr: 1.0e-04 loss: 5.005e-01]
my_first_lora_v6:  56%|#####5    | 3355/6000 [08:41<1:04:43,  1.47s/it, lr: 1.0e-04 loss: 5.005e-01]
my_first_lora_v6:  56%|#####5    | 3356/6000 [08:41<1:04:36,  1.47s/it, lr: 1.0e-04 loss: 7.220e-01]
my_first_lora_v6:  56%|#####5    | 3356/6000 [08:41<1:04:36,  1.47s/it, lr: 1.0e-04 loss: 7.220e-01]
my_first_lora_v6:  56%|#####5    | 3357/6000 [08:44<1:04:40,  1.47s/it, lr: 1.0e-04 loss: 3.373e-01]
my_first_lora_v6:  56%|#####5    | 3357/6000 [08:44<1:04:40,  1.47s/it, lr: 1.0e-04 loss: 3.373e-01]
my_first_lora_v6:  56%|#####5    | 3358/6000 [08:46<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 1.554e-01]
my_first_lora_v6:  56%|#####5    | 3358/6000 [08:46<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 1.554e-01]
my_first_lora_v6:  56%|#####5    | 3359/6000 [08:48<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 7.491e-01]
my_first_lora_v6:  56%|#####5    | 3359/6000 [08:48<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 7.491e-01]
my_first_lora_v6:  56%|#####6    | 3360/6000 [08:50<1:04:51,  1.47s/it, lr: 1.0e-04 loss: 7.236e-01]
my_first_lora_v6:  56%|#####6    | 3360/6000 [08:50<1:04:51,  1.47s/it, lr: 1.0e-04 loss: 7.236e-01]
my_first_lora_v6:  56%|#####6    | 3361/6000 [08:51<1:04:44,  1.47s/it, lr: 1.0e-04 loss: 2.419e-01]
my_first_lora_v6:  56%|#####6    | 3361/6000 [08:51<1:04:44,  1.47s/it, lr: 1.0e-04 loss: 2.419e-01]
my_first_lora_v6:  56%|#####6    | 3362/6000 [08:53<1:04:48,  1.47s/it, lr: 1.0e-04 loss: 7.536e-01]
my_first_lora_v6:  56%|#####6    | 3362/6000 [08:53<1:04:48,  1.47s/it, lr: 1.0e-04 loss: 7.536e-01]
my_first_lora_v6:  56%|#####6    | 3363/6000 [08:55<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 6.536e-01]
my_first_lora_v6:  56%|#####6    | 3363/6000 [08:55<1:04:46,  1.47s/it, lr: 1.0e-04 loss: 6.536e-01]
my_first_lora_v6:  56%|#####6    | 3364/6000 [08:56<1:04:44,  1.47s/it, lr: 1.0e-04 loss: 3.535e-01]
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my_first_lora_v6:  56%|#####6    | 3365/6000 [08:59<1:04:51,  1.48s/it, lr: 1.0e-04 loss: 3.082e-01]
my_first_lora_v6:  56%|#####6    | 3365/6000 [08:59<1:04:51,  1.48s/it, lr: 1.0e-04 loss: 3.082e-01]
my_first_lora_v6:  56%|#####6    | 3366/6000 [09:01<1:04:56,  1.48s/it, lr: 1.0e-04 loss: 3.326e-01]
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my_first_lora_v6:  56%|#####6    | 3369/6000 [09:06<1:04:57,  1.48s/it, lr: 1.0e-04 loss: 2.923e-01]
my_first_lora_v6:  56%|#####6    | 3369/6000 [09:06<1:04:57,  1.48s/it, lr: 1.0e-04 loss: 2.923e-01]
my_first_lora_v6:  56%|#####6    | 3370/6000 [09:07<1:04:50,  1.48s/it, lr: 1.0e-04 loss: 1.648e-01]
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my_first_lora_v6:  56%|#####6    | 3371/6000 [09:07<1:04:42,  1.48s/it, lr: 1.0e-04 loss: 2.392e-01]
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my_first_lora_v6:  56%|#####6    | 3373/6000 [09:11<1:04:44,  1.48s/it, lr: 1.0e-04 loss: 6.154e-01]
my_first_lora_v6:  56%|#####6    | 3373/6000 [09:11<1:04:44,  1.48s/it, lr: 1.0e-04 loss: 6.154e-01]
my_first_lora_v6:  56%|#####6    | 3374/6000 [09:12<1:04:42,  1.48s/it, lr: 1.0e-04 loss: 6.716e-01]
my_first_lora_v6:  56%|#####6    | 3374/6000 [09:12<1:04:42,  1.48s/it, lr: 1.0e-04 loss: 6.716e-01]
my_first_lora_v6:  56%|#####6    | 3375/6000 [09:13<1:04:35,  1.48s/it, lr: 1.0e-04 loss: 4.798e-01]
my_first_lora_v6:  56%|#####6    | 3375/6000 [09:13<1:04:35,  1.48s/it, lr: 1.0e-04 loss: 4.798e-01]
my_first_lora_v6:  56%|#####6    | 3376/6000 [09:14<1:04:33,  1.48s/it, lr: 1.0e-04 loss: 3.241e-01]
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my_first_lora_v6:  56%|#####6    | 3379/6000 [09:19<1:04:31,  1.48s/it, lr: 1.0e-04 loss: 3.910e-02]
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my_first_lora_v6:  56%|#####6    | 3380/6000 [09:20<1:04:24,  1.48s/it, lr: 1.0e-04 loss: 3.540e-01]
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my_first_lora_v6:  56%|#####6    | 3381/6000 [09:21<1:04:17,  1.47s/it, lr: 1.0e-04 loss: 7.152e-01]
my_first_lora_v6:  56%|#####6    | 3381/6000 [09:21<1:04:17,  1.47s/it, lr: 1.0e-04 loss: 7.152e-01]
my_first_lora_v6:  56%|#####6    | 3382/6000 [09:21<1:04:10,  1.47s/it, lr: 1.0e-04 loss: 5.783e-01]
my_first_lora_v6:  56%|#####6    | 3382/6000 [09:21<1:04:10,  1.47s/it, lr: 1.0e-04 loss: 5.783e-01]
my_first_lora_v6:  56%|#####6    | 3383/6000 [09:24<1:04:17,  1.47s/it, lr: 1.0e-04 loss: 7.240e-01]
my_first_lora_v6:  56%|#####6    | 3383/6000 [09:24<1:04:17,  1.47s/it, lr: 1.0e-04 loss: 7.240e-01]
my_first_lora_v6:  56%|#####6    | 3384/6000 [09:25<1:04:15,  1.47s/it, lr: 1.0e-04 loss: 3.795e-02]
my_first_lora_v6:  56%|#####6    | 3384/6000 [09:25<1:04:15,  1.47s/it, lr: 1.0e-04 loss: 3.795e-02]
my_first_lora_v6:  56%|#####6    | 3385/6000 [09:26<1:04:08,  1.47s/it, lr: 1.0e-04 loss: 3.965e-02]
my_first_lora_v6:  56%|#####6    | 3385/6000 [09:26<1:04:08,  1.47s/it, lr: 1.0e-04 loss: 3.965e-02]
my_first_lora_v6:  56%|#####6    | 3386/6000 [09:28<1:04:06,  1.47s/it, lr: 1.0e-04 loss: 2.293e-01]
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my_first_lora_v6:  56%|#####6    | 3387/6000 [09:29<1:04:03,  1.47s/it, lr: 1.0e-04 loss: 5.984e-01]
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my_first_lora_v6:  56%|#####6    | 3388/6000 [09:29<1:03:56,  1.47s/it, lr: 1.0e-04 loss: 3.144e-01]
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my_first_lora_v6:  56%|#####6    | 3389/6000 [09:30<1:03:49,  1.47s/it, lr: 1.0e-04 loss: 6.880e-01]
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my_first_lora_v6:  56%|#####6    | 3390/6000 [09:31<1:03:47,  1.47s/it, lr: 1.0e-04 loss: 8.440e-02]
my_first_lora_v6:  56%|#####6    | 3390/6000 [09:31<1:03:47,  1.47s/it, lr: 1.0e-04 loss: 8.440e-02]
my_first_lora_v6:  57%|#####6    | 3391/6000 [09:33<1:03:45,  1.47s/it, lr: 1.0e-04 loss: 6.328e-01]
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my_first_lora_v6:  57%|#####6    | 3392/6000 [09:34<1:03:43,  1.47s/it, lr: 1.0e-04 loss: 5.303e-01]
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my_first_lora_v6:  57%|#####6    | 3393/6000 [09:36<1:03:42,  1.47s/it, lr: 1.0e-04 loss: 3.699e-01]
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my_first_lora_v6:  57%|#####6    | 3395/6000 [09:39<1:03:41,  1.47s/it, lr: 1.0e-04 loss: 5.240e-01]
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my_first_lora_v6:  57%|#####6    | 3396/6000 [09:40<1:03:34,  1.46s/it, lr: 1.0e-04 loss: 7.741e-01]
my_first_lora_v6:  57%|#####6    | 3396/6000 [09:40<1:03:34,  1.46s/it, lr: 1.0e-04 loss: 7.741e-01]
my_first_lora_v6:  57%|#####6    | 3397/6000 [09:41<1:03:32,  1.46s/it, lr: 1.0e-04 loss: 7.068e-02]
my_first_lora_v6:  57%|#####6    | 3397/6000 [09:41<1:03:32,  1.46s/it, lr: 1.0e-04 loss: 7.068e-02]
my_first_lora_v6:  57%|#####6    | 3398/6000 [09:43<1:03:37,  1.47s/it, lr: 1.0e-04 loss: 3.492e-01]
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my_first_lora_v6:  57%|#####6    | 3399/6000 [09:46<1:03:44,  1.47s/it, lr: 1.0e-04 loss: 4.706e-02]
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my_first_lora_v6:  57%|#####6    | 3400/6000 [09:47<1:03:37,  1.47s/it, lr: 1.0e-04 loss: 3.447e-01]
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my_first_lora_v6:  57%|#####6    | 3401/6000 [09:49<1:03:41,  1.47s/it, lr: 1.0e-04 loss: 3.653e-01]
my_first_lora_v6:  57%|#####6    | 3401/6000 [09:49<1:03:41,  1.47s/it, lr: 1.0e-04 loss: 3.653e-01]
my_first_lora_v6:  57%|#####6    | 3402/6000 [09:51<1:03:44,  1.47s/it, lr: 1.0e-04 loss: 3.128e-01]
my_first_lora_v6:  57%|#####6    | 3402/6000 [09:51<1:03:44,  1.47s/it, lr: 1.0e-04 loss: 3.128e-01]
my_first_lora_v6:  57%|#####6    | 3403/6000 [09:54<1:03:49,  1.47s/it, lr: 1.0e-04 loss: 3.824e-01]
my_first_lora_v6:  57%|#####6    | 3403/6000 [09:54<1:03:49,  1.47s/it, lr: 1.0e-04 loss: 3.824e-01]
my_first_lora_v6:  57%|#####6    | 3404/6000 [09:55<1:03:43,  1.47s/it, lr: 1.0e-04 loss: 5.301e-01]
my_first_lora_v6:  57%|#####6    | 3404/6000 [09:55<1:03:43,  1.47s/it, lr: 1.0e-04 loss: 5.301e-01]
my_first_lora_v6:  57%|#####6    | 3405/6000 [09:55<1:03:36,  1.47s/it, lr: 1.0e-04 loss: 4.774e-01]
my_first_lora_v6:  57%|#####6    | 3405/6000 [09:55<1:03:36,  1.47s/it, lr: 1.0e-04 loss: 4.774e-01]
my_first_lora_v6:  57%|#####6    | 3406/6000 [09:57<1:03:34,  1.47s/it, lr: 1.0e-04 loss: 7.809e-01]
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my_first_lora_v6:  58%|#####8    | 3499/6000 [12:14<1:01:19,  1.47s/it, lr: 1.0e-04 loss: 2.942e-01]
Saving at step 3500
Saved checkpoint to /teamspace/studios/this_studio/ai-toolkit/output/my_first_lora_v6/my_first_lora_v6_000003500.safetensors
Saved optimizer to /teamspace/studios/this_studio/ai-toolkit/output/my_first_lora_v6/optimizer.pt
Unloading assistant lora



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Generating Images:   0%|          | 0/5 [00:00<?, ?it/s]


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Generating Images:  40%|####      | 2/5 [00:15<00:23,  7.91s/it]
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Generating Images:  60%|######    | 3/5 [00:23<00:15,  7.87s/it]
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Generating Images:  80%|########  | 4/5 [00:31<00:07,  7.83s/it]
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Generating Images: 100%|##########| 5/5 [00:39<00:00,  7.79s/it]
Generating Images: 100%|##########| 5/5 [00:39<00:00,  7.79s/it]


                                                                
                                                                Loading assistant lora

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my_first_lora_v6:  59%|#####8    | 3533/6000 [13:05<1:00:33,  1.47s/it, lr: 1.0e-04 loss: 7.349e-01]
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my_first_lora_v6:  59%|#####8    | 3534/6000 [13:05<1:00:28,  1.47s/it, lr: 1.0e-04 loss: 7.113e-01]
my_first_lora_v6:  59%|#####8    | 3534/6000 [13:05<1:00:28,  1.47s/it, lr: 1.0e-04 loss: 7.113e-01]
my_first_lora_v6:  59%|#####8    | 3535/6000 [13:08<1:00:31,  1.47s/it, lr: 1.0e-04 loss: 1.792e-01]
my_first_lora_v6:  59%|#####8    | 3535/6000 [13:08<1:00:31,  1.47s/it, lr: 1.0e-04 loss: 1.792e-01]
my_first_lora_v6:  59%|#####8    | 3536/6000 [13:10<1:00:33,  1.47s/it, lr: 1.0e-04 loss: 4.750e-01]
my_first_lora_v6:  59%|#####8    | 3536/6000 [13:10<1:00:33,  1.47s/it, lr: 1.0e-04 loss: 4.750e-01]
my_first_lora_v6:  59%|#####8    | 3537/6000 [13:11<1:00:28,  1.47s/it, lr: 1.0e-04 loss: 6.528e-01]
my_first_lora_v6:  59%|#####8    | 3537/6000 [13:11<1:00:28,  1.47s/it, lr: 1.0e-04 loss: 6.528e-01]
my_first_lora_v6:  59%|#####8    | 3538/6000 [13:13<1:00:31,  1.48s/it, lr: 1.0e-04 loss: 6.157e-01]
my_first_lora_v6:  59%|#####8    | 3538/6000 [13:13<1:00:31,  1.48s/it, lr: 1.0e-04 loss: 6.157e-01]
my_first_lora_v6:  59%|#####8    | 3539/6000 [13:14<1:00:29,  1.47s/it, lr: 1.0e-04 loss: 4.934e-01]
my_first_lora_v6:  59%|#####8    | 3539/6000 [13:14<1:00:29,  1.47s/it, lr: 1.0e-04 loss: 4.934e-01]
my_first_lora_v6:  59%|#####8    | 3540/6000 [13:16<1:00:26,  1.47s/it, lr: 1.0e-04 loss: 4.718e-01]
my_first_lora_v6:  59%|#####8    | 3540/6000 [13:16<1:00:26,  1.47s/it, lr: 1.0e-04 loss: 4.718e-01]
my_first_lora_v6:  59%|#####9    | 3541/6000 [13:17<1:00:23,  1.47s/it, lr: 1.0e-04 loss: 3.532e-02]
my_first_lora_v6:  59%|#####9    | 3541/6000 [13:17<1:00:23,  1.47s/it, lr: 1.0e-04 loss: 3.532e-02]
my_first_lora_v6:  59%|#####9    | 3542/6000 [13:19<1:00:27,  1.48s/it, lr: 1.0e-04 loss: 3.563e-01]
my_first_lora_v6:  59%|#####9    | 3542/6000 [13:19<1:00:27,  1.48s/it, lr: 1.0e-04 loss: 3.563e-01]
my_first_lora_v6:  59%|#####9    | 3543/6000 [13:20<1:00:22,  1.47s/it, lr: 1.0e-04 loss: 3.937e-01]
my_first_lora_v6:  59%|#####9    | 3543/6000 [13:20<1:00:22,  1.47s/it, lr: 1.0e-04 loss: 3.937e-01]
my_first_lora_v6:  59%|#####9    | 3544/6000 [13:21<1:00:20,  1.47s/it, lr: 1.0e-04 loss: 4.065e-01]
my_first_lora_v6:  59%|#####9    | 3544/6000 [13:21<1:00:20,  1.47s/it, lr: 1.0e-04 loss: 4.065e-01]
my_first_lora_v6:  59%|#####9    | 3545/6000 [13:24<1:00:22,  1.48s/it, lr: 1.0e-04 loss: 1.725e-01]
my_first_lora_v6:  59%|#####9    | 3545/6000 [13:24<1:00:22,  1.48s/it, lr: 1.0e-04 loss: 1.725e-01]
my_first_lora_v6:  59%|#####9    | 3546/6000 [13:24<1:00:17,  1.47s/it, lr: 1.0e-04 loss: 1.790e-01]
my_first_lora_v6:  59%|#####9    | 3546/6000 [13:24<1:00:17,  1.47s/it, lr: 1.0e-04 loss: 1.790e-01]Error running job: Job stopped

========================================
Result:
 - 0 completed jobs
 - 1 failure
========================================
Traceback (most recent call last):
Traceback (most recent call last):
  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 120, in <module>
  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 120, in <module>
        main()main()

  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 108, in main
  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 108, in main
        raise eraise e

  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 96, in main
  File "/teamspace/studios/this_studio/ai-toolkit/run.py", line 96, in main
        job.run()job.run()

  File "/teamspace/studios/this_studio/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
  File "/teamspace/studios/this_studio/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
        process.run()process.run()

  File "/teamspace/studios/this_studio/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2353, in run
  File "/teamspace/studios/this_studio/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2353, in run
        self.end_step_hook()self.end_step_hook()

  File "/teamspace/studios/this_studio/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
  File "/teamspace/studios/this_studio/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
        self.maybe_stop()self.maybe_stop()

  File "/teamspace/studios/this_studio/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
  File "/teamspace/studios/this_studio/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
        raise Exception("Job stopped")raise Exception("Job stopped")

ExceptionException: : Job stoppedJob stopped


my_first_lora_v6:  59%|#####9    | 3547/6000 [13:26<1:00:16,  1.47s/it, lr: 1.0e-04 loss: 1.790e-01]
my_first_lora_v6:  59%|#####9    | 3547/6000 [13:26<1:00:16,  1.47s/it, lr: 1.0e-04 loss: 1.790e-01]