TypeError: get_cosine_schedule_with_warmup() got an unexpected keyword argument 'num_decay_steps' Reinstalling did not solve the problem. kohya-ssadded a commit that referenced this issueSep 29, 2024 fix to work linear/cosine schedulercloses#1651ref#1393 ...
Yes, I'm training a model with JAX and Equinox, and I am trying to save the optimizer state. `lr_scheduler = optax.warmup_cosine_decay_schedule( init_value=0.0, peak_value=learning_rate, warmup_steps=warmup_iters if init_from == 'scratch' else 0, decay_steps=lr_decay_iters - it...
'warmup_epochs': 0, 'weight_decay': 0.05} Please check the above information for the configurations standalone training ### {'auto_tune': 0, 'autoaugment': 1, 'aux_factor': 0.4, 'backbone': 'vit_base_patch32', 'batch_size': 8, 'beta1': 0.9, 'beta2': 0.999,...
stop_text_encoder_training = 0lr_warmup_steps = 0accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" --train_data_dir="D:/AI/trainmodels/RosieLily/image" --resolution=512,512 --output_dir="D:/AI/...
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I am gearing up to run Skulls and Shackles starting mid-November for a crew of 7 PCs. My ambitious plan is to allow some sandbox elements by bringing in other adventures and letting the PCs have some control over their destiny and choose which challenges to tackle, because I think that is...
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在slurm上多机多卡进行sft处理数据集时只要preprocessing_num_workers > 1, 程序就会卡在/LLaMA-Factory/src/llmtuner/train/sft/workflow.py的这一步:dataset = get_dataset(tokenizer, model_args, data_args, training_args, stage="sft"). 硬件设备: ...
args = TrainingArguments( output_dir="./checkpoints", per_device_train_batch_size=128, per_device_eval_batch_size=128, evaluation_strategy="steps", eval_steps=1_000, logging_steps=1_000, gradient_accumulation_steps=8, num_train_epochs=50, weight_decay=0.1, warmup_steps=5_000, lr_sched...