PseudoTerminal X
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Trained for 6 epochs and 7500 steps.
Browse filesTrained with datasets ['text-embeds-pixart-nofilter', 'photo-concept-bucket']
Learning rate 4e-07, batch size 32, and 2 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'linspace' timestep spacing.
Base model: terminusresearch/pixart-900m-1024
VAE: madebyollin/sdxl-vae-fp16-fix
- README.md +2 -2
- optimizer.bin +1 -1
- random_states_0.pkl +1 -1
- scheduler.bin +1 -1
- training_state-photo-concept-bucket.json +2 -2
- training_state.json +1 -1
- transformer/diffusion_pytorch_model.safetensors +1 -1
README.md
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## Training settings
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- Training epochs:
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- Training steps:
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- Learning rate: 4e-07
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- Effective batch size: 512
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- Micro-batch size: 32
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## Training settings
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- Training epochs: 6
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- Training steps: 7500
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- Learning rate: 4e-07
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- Effective batch size: 512
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- Micro-batch size: 32
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optimizer.bin
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random_states_0.pkl
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scheduler.bin
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training_state-photo-concept-bucket.json
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training_state.json
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{"global_step":
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{"global_step": 7500, "epoch_step": 394, "epoch": 7, "exhausted_backends": [], "repeats": {"photo-concept-bucket": 0}}
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transformer/diffusion_pytorch_model.safetensors
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