run.sh

#!/usr/bin/env bash
# python -m torch.distributed.launch \
#        --nproc_per_node 2 run_speech_recognition_ctc.py \
CUDA_VISIBLE_DEVICES="1" python run_speech_recognition_ctc.py \
--dataset_name="multilingual_librispeech" \
--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
--train_split_name="train.9h" \
--dataset_config_name="german" \
--output_dir="./wav2vec2-xlsr-53-300m-mls-german-ft" \
--overwrite_output_dir \
--num_train_epochs="100" \
--per_device_train_batch_size="32" \
--gradient_accumulation_steps="1" \
--learning_rate="1e-4" \
--activation_dropout="0.1" \
--warmup_steps="1000" \
--evaluation_strategy="steps" \
--text_column_name="text" \
--save_steps="1000" \
--eval_steps="500" \
--logging_steps="10" \
--layerdrop="0.1" \
--hidden_dropout="0.0" \
--save_total_limit="1" \
--mask_time_prob="0.75" \
--mask_feature_prob="0.25" \
--mask_feature_length="64" \
--freeze_feature_extractor \
--fp16 \
--group_by_length \
--do_eval \
--gradient_checkpointing \
--use_auth_token \
--do_train --do_eval \
--push_to_hub \