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Aff4n20
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wuerstchen-ancient-coins

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wuerstchen
diffusers-training
lora
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End of training

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Files changed (23) hide show
  1. README.md +2 -2
  2. checkpoint-10000/optimizer.bin +3 -0
  3. checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-10000/random_states_0.pkl +3 -0
  5. checkpoint-10000/scaler.pt +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-4000/optimizer.bin +3 -0
  8. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-4000/random_states_0.pkl +3 -0
  10. checkpoint-4000/scaler.pt +3 -0
  11. checkpoint-4000/scheduler.bin +3 -0
  12. checkpoint-6000/optimizer.bin +3 -0
  13. checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
  14. checkpoint-6000/random_states_0.pkl +3 -0
  15. checkpoint-6000/scaler.pt +3 -0
  16. checkpoint-6000/scheduler.bin +3 -0
  17. checkpoint-8000/optimizer.bin +3 -0
  18. checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
  19. checkpoint-8000/random_states_0.pkl +3 -0
  20. checkpoint-8000/scaler.pt +3 -0
  21. checkpoint-8000/scheduler.bin +3 -0
  22. pytorch_lora_weights.safetensors +1 -1
  23. val_imgs_grid.png +0 -0
README.md CHANGED
@@ -43,7 +43,7 @@ image.save("my_image.png")
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  These are the key hyperparameters used during training:
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  * LoRA rank: 4
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- * Epochs: 1
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  * Learning rate: 0.0001
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  * Batch size: 1
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  * Gradient accumulation steps: 4
@@ -51,4 +51,4 @@ These are the key hyperparameters used during training:
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  * Mixed-precision: fp16
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- More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/aff4n20/text2image-fine-tune/runs/4p07epif).
 
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  These are the key hyperparameters used during training:
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  * LoRA rank: 4
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+ * Epochs: 19
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  * Learning rate: 0.0001
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  * Batch size: 1
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  * Gradient accumulation steps: 4
 
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  * Mixed-precision: fp16
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+ More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/aff4n20/text2image-fine-tune/runs/5ewvbkug).
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