训练参数调整如下,total_steps 调整为200000: defparse_args():"""arguments"""config={"data_dir":"./Dataset","save_path":"model-medium.ckpt","batch_size":32,"n_workers":8,"valid_steps":2000,"warmup_steps":1000,"save_steps":1
num_warmup_steps:int, num_training_steps:int, num_cycles:float=0.5, last_epoch:int= -1,):deflr_lambda(current_step):# Warmupifcurrent_step < num_warmup_steps:returnfloat(current_step) /float(max(1, num_warmup_steps))# decadenceprogress =float(current_step - num_warmup_steps) /flo...
--max_grad_norm 1.0 \ --warmup_steps 100 \ --per_device_train_batch_size 12 \ --gradient_accumulation_steps 8 \ --num_train_epochs 1 \ --disable_tqdm True \ --logging_steps 10 \ --save_steps 500 \ --save_total_limit 4 25 changes: 0 additions & 25 deletions 25 scripts/vicun...
--warmup_epochs=0 \ --dataset=imagenet2012_subset/1pct --image_size=224 --eval_split=validation \ --data_dir=$DATA_DIR --model_dir=$MODEL_DIR --checkpoint=$CHKPT_DIR \ --use_tpu=True --tpu_name=$TPU_NAME --train_summary_steps=0 \ --num_proj_layers=3 --ft_proj_selector=...
(current_step): if current_step < num_warmup_steps: return float(current_step) / float(max(1,num_warmup_steps)) progress = float(current_step - num_warmup_steps) / float(max(1,num_training_steps-num_warmup_steps)) return max( 0.0, 0.5 * (1.0 + math.cos(math.pi * float(num...
num_train_epochs 1 --model_max_length 1024 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 2 --evaluation_strategy no --save_strategy epoch --save_steps 100 --save_total_limit 2 --learning_rate 1e-5 --warmup_steps 10 --logging_steps ...
(0.9, 0.999) weight_decay = 0 max_norm = 1 # grad clip warmup_ratio = 0.03 # Save save_steps = 50 save_total_limit = 10 # Maximum checkpoints to keep (-1 means unlimited) # Evaluate the generation performance during the training evaluation_freq = 50 SYSTEM = '你现在是一个送祝福...
Annotating accelerometer-based physical activity data remains a challenging task, limiting the creation of robust supervised machine learning models due to
SET QMANAGER"QMRDS"FOR APPLY SCHEMA;SET OUTPUT CAPTURE SCRIPT"qmapcap.sql";SET OUTPUT TARGET SCRIPT"qmapapp.sql";#SET RUN SCRIPT NOW STOP ON SQL ERROR ON;SET RUN SCRIPT LATER;CREATE REPLQMAP BENCHT_TO_BENCH USING ADMINQ"QASN.ADMINQ"RECVQ"QA...
SET QMANAGER"QMRDS"FOR APPLY SCHEMA;SET OUTPUT CAPTURE SCRIPT"qmapcap.sql";SET OUTPUT TARGET SCRIPT"qmapapp.sql";#SET RUN SCRIPT NOW STOP ON SQL ERROR ON;SET RUN SCRIPT LATER;CREATE REPLQMAP BENCHT_TO_BENCH USING ADMINQ"QASN.ADMINQ"RECVQ"QA...