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script_glue.sh
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export TASK_NAME=MNLI;
python3 new_run_glue.py --model_name_or_path bert-large-uncased --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_large_ft_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path bert-large-uncased --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_large_ft_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-tiny --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_tiny --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-tiny --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_tiny_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-tiny --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_tiny_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-small --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_small --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-small --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_small_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-small --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_small_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-medium --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_medium --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-medium --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_medium_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-medium --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_medium_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-mini --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_mini --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-mini --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_mini_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path prajjwal1/bert-mini --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 256 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_bert_mini_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path albert-large-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_large --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path albert-large-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_large_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path albert-large-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_large_59 --overwrite_output_dir --seed 59
python3 new_run_glue.py --model_name_or_path albert-base-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_base --overwrite_output_dir
python3 new_run_glue.py --model_name_or_path albert-base-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_base_47 --overwrite_output_dir --seed 47
python3 new_run_glue.py --model_name_or_path albert-base-v2 --save_strategy epoch --evaluation_strategy epoch --task_name MNLI --do_train --do_eval --max_seq_length 96 --per_device_eval_batch_size 256 --per_device_train_batch_size 128 --learning_rate 2e-5 --num_train_epochs 8.0 --output_dir ~/experiments/again_albert_base_59 --overwrite_output_dir --seed 59