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run_training.sh
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run_training.sh
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export CUDA_VISIBLE_DEVICES=1
# # ENG-ZHO
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho --training_age_group all \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho --training_age_group elderly \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho --training_age_group others \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# # ENG
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng --training_age_group all \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng --training_age_group elderly \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng --training_age_group others \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# # ZHO
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language zho --training_age_group all \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language zho --training_age_group elderly \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language zho --training_age_group others \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# YUE
python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
--output_dir="./save" --cache_dir="./cache/"\
--dataset_path="/home/samuel/emotion-elderly/datasets" \
--training_language yue --training_age_group all \
--per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
--gradient_accumulation_steps=1 --gradient_checkpointing \
--dataloader_num_workers=8 --dataloader_pin_memory \
--seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
--logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
--evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
--save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
--greater_is_better=False --load_best_model_at_end=True
python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
--output_dir="./save" --cache_dir="./cache/"\
--dataset_path="/home/samuel/emotion-elderly/datasets" \
--training_language yue --training_age_group elderly \
--per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
--gradient_accumulation_steps=1 --gradient_checkpointing \
--dataloader_num_workers=8 --dataloader_pin_memory \
--seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
--logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
--evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
--save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
--greater_is_better=False --load_best_model_at_end=True
python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
--output_dir="./save" --cache_dir="./cache/"\
--dataset_path="/home/samuel/emotion-elderly/datasets" \
--training_language yue --training_age_group others \
--per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
--gradient_accumulation_steps=1 --gradient_checkpointing \
--dataloader_num_workers=8 --dataloader_pin_memory \
--seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
--logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
--evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
--save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
--greater_is_better=False --load_best_model_at_end=True
# # ENG-ZHO-YUE
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho-yue --training_age_group all \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho-yue --training_age_group elderly \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True
# python train.py --model_name_or_path="facebook/wav2vec2-large-xlsr-53"\
# --output_dir="./save" --cache_dir="./cache/"\
# --dataset_path="/home/samuel/emotion-elderly/datasets" \
# --training_language eng-zho-yue --training_age_group others \
# --per_device_train_batch_size=8 --per_device_eval_batch_size=8 \
# --gradient_accumulation_steps=1 --gradient_checkpointing \
# --dataloader_num_workers=8 --dataloader_pin_memory \
# --seed=0 --num_train_epochs=20 --learning_rate=5e-5 \
# --logging_strategy=steps --logging_steps=10 --report_to=tensorboard \
# --evaluation_strategy=epoch --eval_steps=1 --eval_accumulation_steps=1 \
# --save_steps=1 --save_strategy=epoch --save_total_limit=1 --fp16 \
# --greater_is_better=False --load_best_model_at_end=True