44 lines
2.0 KiB
JSON
44 lines
2.0 KiB
JSON
{
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"doc": {
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"base": "base optimizer configuration for unet and text encoder",
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"text_encoder_overrides": "text encoder config overrides",
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"text_encoder_lr_scale": "if LR not set on text encoder, sets the Lr to a multiple of the Base LR. for example, if base `lr` is 2e-6 and `text_encoder_lr_scale` is 0.5, the text encoder's LR will be set to `1e-6`.",
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"-----------------": "-----------------",
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"optimizer": "adamw, adamw8bit, lion",
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"optimizer_desc": "'adamw' in standard 32bit, 'adamw8bit' is bitsandbytes, 'lion' is lucidrains",
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"lr": "learning rate, if null will use CLI or main JSON config value",
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"lr_scheduler": "'constant' or 'cosine'",
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"lr_warmup_steps": "number of steps to warmup LR to target LR, if null will use CLI or default a value based on max epochs",
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"lr_decay_steps": "number of steps to decay LR to zero for cosine, if null will use CLI or default a value based on max epochs",
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"betas": "exponential decay rates for the moment estimates",
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"epsilon": "value added to denominator for numerical stability, unused for lion",
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"weight_decay": "weight decay (L2 penalty)",
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"------------------": "-----------------",
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"unfreeze_last_n_layers": "if not null, freeze all parameters in the text encoder except for the last n layers and the final layer norm"
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},
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"base": {
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"optimizer": "adamw8bit",
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"lr": 1e-6,
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"lr_scheduler": "constant",
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"lr_decay_steps": null,
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"lr_warmup_steps": null,
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"betas": [0.9, 0.999],
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"epsilon": 1e-8,
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"weight_decay": 0.010
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},
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"text_encoder_overrides": {
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"optimizer": null,
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"lr": 5e-7,
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"lr_scheduler": "cosine",
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"lr_decay_steps": null,
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"lr_warmup_steps": null,
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"betas": null,
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"epsilon": null,
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"weight_decay": null
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},
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"text_encoder_freezing": {
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"unfreeze_last_n_layers": null
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},
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"apply_grad_scaler_step_tweaks": true
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}
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