suvadityamuk
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End of training
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- README.md +3 -3
- checkpoint-100/optimizer.bin +1 -1
- checkpoint-100/random_states_0.pkl +2 -2
- checkpoint-100/scheduler.bin +1 -1
- checkpoint-100/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-150/optimizer.bin +1 -1
- checkpoint-150/random_states_0.pkl +2 -2
- checkpoint-150/scheduler.bin +1 -1
- checkpoint-150/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-200/optimizer.bin +1 -1
- checkpoint-200/random_states_0.pkl +2 -2
- checkpoint-200/scheduler.bin +1 -1
- checkpoint-200/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-250/optimizer.bin +1 -1
- checkpoint-250/random_states_0.pkl +2 -2
- checkpoint-250/scheduler.bin +1 -1
- checkpoint-250/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-300/optimizer.bin +1 -1
- checkpoint-300/random_states_0.pkl +1 -1
- checkpoint-300/scheduler.bin +1 -1
- checkpoint-300/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-350/optimizer.bin +1 -1
- checkpoint-350/random_states_0.pkl +1 -1
- checkpoint-350/scheduler.bin +1 -1
- checkpoint-350/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-400/optimizer.bin +1 -1
- checkpoint-400/random_states_0.pkl +1 -1
- checkpoint-400/scheduler.bin +1 -1
- checkpoint-400/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-450/optimizer.bin +1 -1
- checkpoint-450/random_states_0.pkl +1 -1
- checkpoint-450/scheduler.bin +1 -1
- checkpoint-450/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-50/optimizer.bin +1 -1
- checkpoint-50/random_states_0.pkl +1 -1
- checkpoint-50/scheduler.bin +1 -1
- checkpoint-50/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +1 -1
- checkpoint-500/scheduler.bin +1 -1
- checkpoint-500/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-550/optimizer.bin +1 -1
- checkpoint-550/random_states_0.pkl +1 -1
- checkpoint-550/scheduler.bin +1 -1
- checkpoint-550/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-600/optimizer.bin +1 -1
- checkpoint-600/random_states_0.pkl +1 -1
- checkpoint-600/scheduler.bin +1 -1
- checkpoint-600/transformer/diffusion_pytorch_model.safetensors +1 -1
- checkpoint-650/optimizer.bin +1 -1
README.md
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These are the key hyperparameters used during training:
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* Train Steps:
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* Learning rate:
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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/
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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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