python launch.py --config configs/nerf-blender.yaml --gpu 0 --train dataset.scene=lego tag=iter50k seed=0 trainer.max_steps=50000 Training on DTU Download preprocessed DTU data provided byNeuSorIDR. In the provided config files we assume using NeuS DTU data. If you are using IDR DTU dat...
logging_steps: save_strategy: # set to `no` to skip checkpoint saves save_steps: # leave empty to save at each epoch eval_steps: # leave empty to eval at each epoch save_total_limit: # checkpoints saved at a time max_steps: # save model as safetensors (require safetensors package...
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Can I use the IZALCO MAX on a smart trainer? Can I attach a child seat? What is the speed limit for the support of e-bikes? I'm looking for the right R.A.T. thru-axle for my bike, but I can't find the measurement that is written on it?
(Odziedziczone po TrainerInputBaseWithGroupId) Seed Inicjator generatora liczb losowych. (Odziedziczone po TreeOptions) Shrinkage Skurcz. (Odziedziczone po BoostedTreeOptions) Smoothing Wygładzenie parametru do uregulowania drzewa. (Odziedziczone po TreeOptions) SoftmaxTemperature ...
from src.trainer import generate_init_weight def load_peft_model(args: TrainingArgs, model: RWKV): freeze = False if args.peft == 'lora': from src.rwkvLinear import LORA_CONFIG assert args.lora_config['lora_r'] > 0, "LoRA should have its `r` > 0" LORA_CONFIG["r"] = args.lo...
trainer = BaalTrainer(max_epochs=3, default_root_dir=hparams.data_root, gpus=hparams.n_gpus, distributed_backend=dp, # The weights of the model will change as it gets # trained; we need to keep a copy (deepcopy) so that # we can reset them. ...
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+- **Knowledge Cutoff:** August 2023 +- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) +- **Paper:** *[MediTron-70B: Scaling Medical Pretraining for Large Language Models]()* **[ADD LINK]** + +## How to use + +You can load MediTron model ...
You can train RetNet with huggingfaceTrainerAPI. Refer totrain.py. exportCUDA_VISIBLE_DEVICES=0 python train.py \ --model_size 300m \ --output_dir checkpoints \ --do_train --do_eval \ --prediction_loss_only \ --remove_unused_columns False \ --learning_rate 6e-4 \ --weight_decay...