export TRAIN_MANIFEST_PATH="" export DEV_MANIFEST_PATH="" export TOKENIZER_PATH="" export HYDRA_FULL_ERROR=1 python [NEMO_GIT_FOLDER]/examples/asr/asr_ctc/speech_to_text_ctc_bpe.py --config-path=[NEMO_GIT_FOLDER]/examples/asr/conf/conformer/ --config-name=conformer_ctc_bpe \ model.train_ds.manifest_filepath=${TRAIN_MANIFEST_PATH} \ model.validation_ds.manifest_filepath=${DEV_MANIFEST_PATH} \ model.tokenizer.dir=${TOKENIZER_PATH} \ model.tokenizer.type=wpe \ trainer.devices=4 \ trainer.accelerator="gpu" \ trainer.strategy="ddp" \ trainer.max_epochs=1000 \ model.optim.name="adamw" \ model.optim.lr=0.001 \ model.optim.betas=[0.9,0.999] \ model.optim.weight_decay=0.0001 \ model.optim.sched.warmup_steps=2000 \ exp_manager.exp_dir=results/ \ exp_manager.create_wandb_logger=False \ exp_manager.resume_if_exists=true