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SD-Dog-Test6

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lora
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zeerakwyne commited on
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End of training

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Files changed (12) hide show
  1. SD-Dog-Test6.log +29 -29
  2. checkpoint-10/optimizer.bin +1 -1
  3. checkpoint-10/pytorch_lora_weights.safetensors +1 -1
  4. checkpoint-10/random_states_0.pkl +2 -2
  5. checkpoint-5/optimizer.bin +1 -1
  6. checkpoint-5/pytorch_lora_weights.safetensors +1 -1
  7. checkpoint-5/random_states_0.pkl +2 -2
  8. image_0.png +0 -0
  9. image_1.png +0 -0
  10. image_2.png +0 -0
  11. image_3.png +0 -0
  12. pytorch_lora_weights.safetensors +1 -1
SD-Dog-Test6.log CHANGED
@@ -1,4 +1,4 @@
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- 10/15/2023 14:32:28 - INFO - app - Distributed environment: NO
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  Num processes: 1
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  Process index: 0
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  Local process index: 0
@@ -6,32 +6,32 @@ Device: cuda
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  Mixed precision type: no
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- 10/15/2023 14:32:33 - INFO - app - Num examples = 5
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- 10/15/2023 14:32:33 - INFO - app - Num batches each epoch = 5
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- 10/15/2023 14:32:33 - INFO - app - Num Epochs = 2
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- 10/15/2023 14:32:33 - INFO - app - Instantaneous batch size per device = 1
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- 10/15/2023 14:32:33 - INFO - app - Total train batch size (w. parallel, distributed & accumulation) = 1
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- 10/15/2023 14:32:33 - INFO - app - Gradient Accumulation steps = 1
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- 10/15/2023 14:32:33 - INFO - app - Training Steps = 10
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- 10/15/2023 14:32:34 - INFO - app - STEP = 1
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- 10/15/2023 14:32:41 - INFO - app - STEP = 2
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- 10/15/2023 14:32:48 - INFO - app - STEP = 3
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- 10/15/2023 14:32:54 - INFO - app - STEP = 4
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- 10/15/2023 14:33:01 - INFO - app - STEP = 5
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- 10/15/2023 14:33:07 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-5
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- 10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-5/optimizer.bin
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- 10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-5/scheduler.bin
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- 10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-5/random_states_0.pkl
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- 10/15/2023 14:33:07 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-5
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- 10/15/2023 14:33:07 - INFO - app - Running validation...
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  Generating 4 images with prompt: A photo of sks dog in a bucket.
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- 10/15/2023 14:33:33 - INFO - app - STEP = 6
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- 10/15/2023 14:33:40 - INFO - app - STEP = 7
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- 10/15/2023 14:33:47 - INFO - app - STEP = 8
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- 10/15/2023 14:33:53 - INFO - app - STEP = 9
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- 10/15/2023 14:34:00 - INFO - app - STEP = 10
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- 10/15/2023 14:34:06 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-10
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- 10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-10/optimizer.bin
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- 10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-10/scheduler.bin
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- 10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-10/random_states_0.pkl
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- 10/15/2023 14:34:06 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-10
 
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+ 10/15/2023 15:05:49 - INFO - app - Distributed environment: NO
2
  Num processes: 1
3
  Process index: 0
4
  Local process index: 0
 
6
 
7
  Mixed precision type: no
8
 
9
+ 10/15/2023 15:05:54 - INFO - app - Num examples = 5
10
+ 10/15/2023 15:05:54 - INFO - app - Num batches each epoch = 5
11
+ 10/15/2023 15:05:54 - INFO - app - Num Epochs = 2
12
+ 10/15/2023 15:05:54 - INFO - app - Instantaneous batch size per device = 1
13
+ 10/15/2023 15:05:54 - INFO - app - Total train batch size (w. parallel, distributed & accumulation) = 1
14
+ 10/15/2023 15:05:54 - INFO - app - Gradient Accumulation steps = 1
15
+ 10/15/2023 15:05:54 - INFO - app - Training Steps = 10
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+ 10/15/2023 15:05:55 - INFO - app - STEP = 1
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+ 10/15/2023 15:06:02 - INFO - app - STEP = 2
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+ 10/15/2023 15:06:09 - INFO - app - STEP = 3
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+ 10/15/2023 15:06:15 - INFO - app - STEP = 4
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+ 10/15/2023 15:06:22 - INFO - app - STEP = 5
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+ 10/15/2023 15:06:28 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-5
22
+ 10/15/2023 15:06:29 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-5/optimizer.bin
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+ 10/15/2023 15:06:29 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-5/scheduler.bin
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+ 10/15/2023 15:06:29 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-5/random_states_0.pkl
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+ 10/15/2023 15:06:29 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-5
26
+ 10/15/2023 15:06:29 - INFO - app - Running validation...
27
  Generating 4 images with prompt: A photo of sks dog in a bucket.
28
+ 10/15/2023 15:06:54 - INFO - app - STEP = 6
29
+ 10/15/2023 15:07:01 - INFO - app - STEP = 7
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+ 10/15/2023 15:07:08 - INFO - app - STEP = 8
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+ 10/15/2023 15:07:14 - INFO - app - STEP = 9
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+ 10/15/2023 15:07:21 - INFO - app - STEP = 10
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+ 10/15/2023 15:07:28 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-10
34
+ 10/15/2023 15:07:28 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-10/optimizer.bin
35
+ 10/15/2023 15:07:28 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-10/scheduler.bin
36
+ 10/15/2023 15:07:28 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-10/random_states_0.pkl
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+ 10/15/2023 15:07:28 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-10
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