suvadityamuk commited on
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End of training

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  1. README.md +3 -3
  2. checkpoint-100/optimizer.bin +1 -1
  3. checkpoint-100/random_states_0.pkl +2 -2
  4. checkpoint-100/scheduler.bin +1 -1
  5. checkpoint-100/transformer/diffusion_pytorch_model.safetensors +1 -1
  6. checkpoint-150/optimizer.bin +1 -1
  7. checkpoint-150/random_states_0.pkl +2 -2
  8. checkpoint-150/scheduler.bin +1 -1
  9. checkpoint-150/transformer/diffusion_pytorch_model.safetensors +1 -1
  10. checkpoint-200/optimizer.bin +1 -1
  11. checkpoint-200/random_states_0.pkl +2 -2
  12. checkpoint-200/scheduler.bin +1 -1
  13. checkpoint-200/transformer/diffusion_pytorch_model.safetensors +1 -1
  14. checkpoint-250/optimizer.bin +1 -1
  15. checkpoint-250/random_states_0.pkl +2 -2
  16. checkpoint-250/scheduler.bin +1 -1
  17. checkpoint-250/transformer/diffusion_pytorch_model.safetensors +1 -1
  18. checkpoint-300/optimizer.bin +1 -1
  19. checkpoint-300/random_states_0.pkl +1 -1
  20. checkpoint-300/scheduler.bin +1 -1
  21. checkpoint-300/transformer/diffusion_pytorch_model.safetensors +1 -1
  22. checkpoint-350/optimizer.bin +1 -1
  23. checkpoint-350/random_states_0.pkl +1 -1
  24. checkpoint-350/scheduler.bin +1 -1
  25. checkpoint-350/transformer/diffusion_pytorch_model.safetensors +1 -1
  26. checkpoint-400/optimizer.bin +1 -1
  27. checkpoint-400/random_states_0.pkl +1 -1
  28. checkpoint-400/scheduler.bin +1 -1
  29. checkpoint-400/transformer/diffusion_pytorch_model.safetensors +1 -1
  30. checkpoint-450/optimizer.bin +1 -1
  31. checkpoint-450/random_states_0.pkl +1 -1
  32. checkpoint-450/scheduler.bin +1 -1
  33. checkpoint-450/transformer/diffusion_pytorch_model.safetensors +1 -1
  34. checkpoint-50/optimizer.bin +1 -1
  35. checkpoint-50/random_states_0.pkl +1 -1
  36. checkpoint-50/scheduler.bin +1 -1
  37. checkpoint-50/transformer/diffusion_pytorch_model.safetensors +1 -1
  38. checkpoint-500/optimizer.bin +1 -1
  39. checkpoint-500/random_states_0.pkl +1 -1
  40. checkpoint-500/scheduler.bin +1 -1
  41. checkpoint-500/transformer/diffusion_pytorch_model.safetensors +1 -1
  42. checkpoint-550/optimizer.bin +1 -1
  43. checkpoint-550/random_states_0.pkl +1 -1
  44. checkpoint-550/scheduler.bin +1 -1
  45. checkpoint-550/transformer/diffusion_pytorch_model.safetensors +1 -1
  46. checkpoint-600/optimizer.bin +1 -1
  47. checkpoint-600/random_states_0.pkl +1 -1
  48. checkpoint-600/scheduler.bin +1 -1
  49. checkpoint-600/transformer/diffusion_pytorch_model.safetensors +1 -1
  50. checkpoint-650/optimizer.bin +1 -1
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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- * 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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  These are the key hyperparameters used during training:
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+ * Train Steps: 750
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+ * Learning rate: 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/0cljkrh9).
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