Comments (3)
holynski
commented on August 17, 2024
It was trained for 22,000 steps.
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dilinwang820
commented on August 17, 2024
Hello @holynski, does the 22,000 steps refer to the number of optimizer steps or the number of training batches? As in your training config, the gradients are accumulated between every 4 batches, that amounts to a 4x difference. Thank you!
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XiaoyuShi97
commented on August 17, 2024
Hi. I am also confused about the training steps. The paper says 10000 steps with batchsize 1024. But the default setting is batchsize 32*8=256? And the epoch number is 2000, which is too large?
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Related Issues (20)
- About pix2pix access huggingface URL
- "Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used" HOT 2
- Hi , any update ?
- The edit_cli runs well but edit_app returns nothing. HOT 1
- FeatureReguest/Enhancement/Idea
- NOT the file config.json?
- which version cuda should i choose for this application?
- Cannot Download Checkpoint HOT 2
- finetuning pretrained model using the custom dataset HOT 5
- Learning Rate scheduler
- demo broken
- How to Accelerate Training Data Generation with SDXL-Turbo or LCM?
- Torch version conflict between ip2p and k-diffusion HOT 1
- is the finetuned GPT3 model that generates edit captions from edit instructions openly available?
- Max Resolution
- Prompt to prompt implementation for dataset generation
- metadata.jsonl in the clip-filtered-dataset
- AttributeError: 'AutoencoderKL' object has no attribute 'quantize' HOT 2
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 3
- Masking
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