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run_experiment_shell_LSTM_non_gpu
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run_experiment_shell_LSTM_non_gpu
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#!/bin/sh
#SBATCH -p standard
#SBATCH --mem=30gb
#SBATCH -c 1
#SBATCH -t 5-00:00:00
#SBATCH -J tanv_eval
#SBATCH -o /scratch/mtanveer/output/eval_output%j
#SBATCH -e /scratch/mtanveer/output/eval_error%j
module load anaconda
#python -c "import ted_talk_deep_learning_experiments as ttdle;ttdle.exp13_run_in_Bluehive()"
#python -c "import ted_talk_deep_learning_experiments as ttdle;ttdle.exp14_run_in_Bluehive()"
#python -c "import ted_talk_deep_learning_experiments as ttdle;ttdle.exp15_run_in_Bluehive()"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.116769962707.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.202999727235.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.239554409108.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.320358253559.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.355918709736.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.391448444142.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.607940916986.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.658667661119.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.809367284201.txt',max_iter_over_dataset=100)"
#python -c "import ted_talk_train as ttt;ttt.resume_recurrent_training('/scratch/mtanveer/TED_models/LSTM_log_typdepposwordprosody_sTrue_50.0_50.0_hid128_it70_tr2007_bat10_0.826881555301.txt',max_iter_over_dataset=100)"
python ted_talk_evaluate.py