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#!/usr/bin/env bash
CUDA_VISIBLE_DEVICES=1 python run_speech_recognition_rnnt.py \
--config_path="conf/conformer_transducer_bpe_dummy.yaml" \
--dataset_name="hf-internal-testing/librispeech_asr_dummy" \
--tokenizer_path="tokenizer" \
--vocab_size="1024" \
--num_train_epochs="1" \
--evaluation_strategy="epoch" \
--dataset_config_name="clean" \
--train_split_name="validation[:32]" \
--eval_split_name="validation" \
--test_split_name="validation[:90%]" \
--text_column_name="text" \
--output_dir="./output_dir" \
--run_name="rnnt-ls-dummy" \
--wandb_project="rnnt-dummy" \
--per_device_train_batch_size="8" \
--per_device_eval_batch_size="4" \
--logging_steps="1" \
--learning_rate="1e-4" \
--warmup_steps="3" \
--report_to="wandb" \
--push_to_hub="False" \
--preprocessing_num_workers="4" \
--evaluation_strategy="epoch" \
--max_eval_samples="8" \
--max_predict_samples="8" \
--final_num_beams="1" \
--length_column_name="input_lengths" \
--save_strategy="epoch" \
--group_by_length \
--overwrite_output_dir \
--fp16 \
--freeze_encoder \
--do_lower_case \
--do_train \
--do_eval \
--do_predict \
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