Continue implementation

This commit is contained in:
Kevin Black
2023-06-23 21:08:32 -07:00
parent 6d848c3cdc
commit 92fc030123
3 changed files with 57 additions and 25 deletions

View File

@@ -25,9 +25,9 @@ def get_config():
train.learning_rate = 1e-4
train.adam_beta1 = 0.9
train.adam_beta2 = 0.999
train.adam_weight_decay = 1e-2
train.adam_weight_decay = 1e-4
train.adam_epsilon = 1e-8
train.gradient_accumulation_steps = 1
train.gradient_accumulation_steps = 32
train.max_grad_norm = 1.0
train.num_inner_epochs = 1
train.cfg = True
@@ -36,11 +36,11 @@ def get_config():
# sampling
config.sample = sample = ml_collections.ConfigDict()
sample.num_steps = 5
sample.num_steps = 30
sample.eta = 1.0
sample.guidance_scale = 5.0
sample.batch_size = 1
sample.num_batches_per_epoch = 4
sample.batch_size = 4
sample.num_batches_per_epoch = 8
# prompting
config.prompt_fn = "imagenet_animals"
@@ -50,7 +50,7 @@ def get_config():
config.reward_fn = "jpeg_compressibility"
config.per_prompt_stat_tracking = ml_collections.ConfigDict()
config.per_prompt_stat_tracking.buffer_size = 128
config.per_prompt_stat_tracking.buffer_size = 64
config.per_prompt_stat_tracking.min_count = 16
return config