Ok so normal DDP does not support gradient checkpointing. Thankfully DeepSpeed does and thankfully, all stages but Zero 3 work with QLora(or at least it seems, I need to train a model still but forward and backward work). Thus the answer is to use gradient checkpointing with DeepSpeed a...
Describe the bug I tried to train a ControlNet, with both DeepSpeed Stage-3and gradient checkpointing, but unexpected errors will occur. There is no problem using either of these alone, the errors seems to happen in the loss backforward:...
This may not be the case when multiple layers are used to capture dispersion (Oishi et al., 2013). Ω is the rotational velocity of the Earth and g is the gravitational acceleration with k pointing in the radial, upward direction. Eq. (1a) is discretised using a linear discontinuous ...
However, if the model doesn’t contain mistakes, at least I have provided more support for Hypothesis C – that the back radiation absorbed in the very surface of the ocean can change the temperature of the ocean below, and demonstrated that Hypothesis B is less likely. I look forward to ...
The renewal of AW allows the maintenance of the gyre pressure gradient against frictional forces. On the other hand, without the presence of the WAG the AJ would be deflected to the south by the Coriolis acceleration immediately after entering the Alboran Sea. Instead, the AJ veers to the ...
the of and to a in that is was he for it with as his on be at by i this had not are but from or have an they which one you were all her she there would their we him been has when who will no more if out so up said what its about than into them can only other time new...
It's a folk theorem I sometimes hear from colleagues and clients: that you must balance the class prevalence before training a classifier. Certainly, I believe that classification tends to be easier when the classes are nearly balanced, especially when t
1 --max_seq_len 4096 --learning_rate 2e-6 --weight_decay 0. --num_train_epochs 4 --training_debug_steps 20 --gradient_accumulation_steps 1 --lr_scheduler_type cosine --num_warmup_steps 0 --seed 1234 --gradient_checkpointing --zero_stage 2 --deepspeed --offload --output_dir ./...
floral background" \ --train_batch_size=1 \ --num_train_epochs=3 \ --tracker_project_name="controlnet" \ --enable_xformers_memory_efficient_attention \ --checkpointing_steps=5000 \ --validation_steps=5000 \ --gradient_accumulation_steps=4 \ --gradient_checkpointing \ --set_grads_to...