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#!/usr/bin/env bash
#python -m torch.distributed.launch \
# --nproc_per_node 8 run_speech_recognition_ctc.py \
CUDA_VISIBLE_DEVICES="0" python run_speech_recognition_ctc.py \
--dataset_name="common_voice" \
--model_name_or_path="./" \
--tokenizer_name_or_path="./" \
--dataset_name="mozilla-foundation/common_voice_3_0" \
--path_to_eval_file="./valSeqs_1.0_uniform_new_version.text" \
--path_to_train_file="./trainSeqs_1.0_uniform_new_version.text" \
--dataset_config_name="it" \
--text_column_name="sentence" \
--output_dir="./" \
--overwrite_output_dir \
--num_train_epochs="150" \
--per_device_train_batch_size="4" \
--per_device_eval_batch_size="4" \
--gradient_accumulation_steps="1" \
--learning_rate="7.5e-5" \
--warmup_steps="1000" \
--evaluation_strategy="steps" \
--save_steps="500" \
--eval_steps="2" \
--logging_steps="100" \
--layerdrop="0.0" \
--activation_dropout="0.1" \
--save_total_limit="3" \
--freeze_feature_extractor \
--feat_proj_dropout="0.0" \
--mask_time_prob="0.75" \
--mask_time_length="10" \
--mask_feature_prob="0.25" \
--mask_feature_length="64" \
--gradient_checkpointing \
--fp16 \
--group_by_length \
--do_train --do_eval
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