data="bert_english"; python train_linear_weight.py -d ${data} | tee models/train_${data}.log
optional arguments:
-h, --help show this help message and exit
-d {bert_english,debug}, --data {bert_english,debug}
--lr LR
--weight_decay WEIGHT_DECAY
--batch_size BATCH_SIZE
--num_updates NUM_UPDATES
--patience PATIENCE
--in_dim IN_DIM
--out_dim OUT_DIM
--model_type {regressor,classifier}
--n_trials N_TRIALS n trials for hyperopt
data="debug"; python train_linear_weight.py -d ${data} | tee models/train_${data}.log