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amused-512-pokemon

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AmusedPipeline
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amused
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End of training

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  1. .gitattributes +1 -0
  2. README.md +3 -3
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scheduler.bin +3 -0
  6. checkpoint-1000/transformer/config.json +27 -0
  7. checkpoint-1000/transformer/diffusion_pytorch_model.safetensors +3 -0
  8. checkpoint-300/optimizer.bin +1 -1
  9. checkpoint-300/random_states_0.pkl +2 -2
  10. checkpoint-300/scheduler.bin +1 -1
  11. checkpoint-300/transformer/diffusion_pytorch_model.safetensors +1 -1
  12. checkpoint-350/optimizer.bin +1 -1
  13. checkpoint-350/random_states_0.pkl +2 -2
  14. checkpoint-350/scheduler.bin +1 -1
  15. checkpoint-350/transformer/diffusion_pytorch_model.safetensors +1 -1
  16. checkpoint-400/optimizer.bin +1 -1
  17. checkpoint-400/random_states_0.pkl +2 -2
  18. checkpoint-400/scheduler.bin +1 -1
  19. checkpoint-400/transformer/diffusion_pytorch_model.safetensors +1 -1
  20. checkpoint-450/optimizer.bin +1 -1
  21. checkpoint-450/random_states_0.pkl +2 -2
  22. checkpoint-450/scheduler.bin +1 -1
  23. checkpoint-450/transformer/diffusion_pytorch_model.safetensors +1 -1
  24. checkpoint-50/optimizer.bin +1 -1
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  26. checkpoint-50/scheduler.bin +1 -1
  27. checkpoint-50/transformer/diffusion_pytorch_model.safetensors +1 -1
  28. checkpoint-500/optimizer.bin +1 -1
  29. checkpoint-500/random_states_0.pkl +2 -2
  30. checkpoint-500/scheduler.bin +1 -1
  31. checkpoint-500/transformer/diffusion_pytorch_model.safetensors +1 -1
  32. checkpoint-550/optimizer.bin +1 -1
  33. checkpoint-550/random_states_0.pkl +2 -2
  34. checkpoint-550/scheduler.bin +1 -1
  35. checkpoint-550/transformer/diffusion_pytorch_model.safetensors +1 -1
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  41. checkpoint-650/random_states_0.pkl +2 -2
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  43. checkpoint-650/transformer/diffusion_pytorch_model.safetensors +1 -1
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  47. checkpoint-700/transformer/diffusion_pytorch_model.safetensors +1 -1
  48. checkpoint-750/optimizer.bin +1 -1
  49. checkpoint-750/random_states_0.pkl +2 -2
  50. checkpoint-750/scheduler.bin +1 -1
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README.md CHANGED
@@ -38,12 +38,12 @@ image.save("my_image.png")
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  These are the key hyperparameters used during training:
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- * Training Steps: 750
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- * Learning rate: 0.00025
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  * Batch size: 8
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  * Gradient accumulation steps: 4
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  * Image resolution: 512
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  * Mixed-precision: bf16
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- More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/ml-colabs/fconn-amused/runs/3ob7g307).
 
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  These are the key hyperparameters used during training:
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+ * Train Steps: 1000
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+ * Learning rate: 2.5e-06
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  * Batch size: 8
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  * Gradient accumulation steps: 4
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  * Image resolution: 512
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  * Mixed-precision: bf16
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+ More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/ml-colabs/fconn-amused/runs/8j142i71).
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