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#!/usr/bin/env bash
export model_path=$1
mkdir -p ${model_path}
python run_common_voice.py \
--dataloader_num_workers="8" \
--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
--dataset_config_name="ar" \
--output_dir=${model_path} \
--num_train_epochs="50" \
--per_device_train_batch_size="16" \
--per_device_eval_batch_size="16" \
--evaluation_strategy="steps" \
--warmup_steps="500" \
--fp16 \
--freeze_feature_extractor \
--save_steps="400" \
--eval_steps="400" \
--logging_steps="400" \
--save_total_limit="1" \
--group_by_length \
--attention_dropout="0.094" \
--activation_dropout="0.055" \
--feat_proj_dropout="0.04" \
--hidden_dropout="0.047" \
--layerdrop="0.041" \
--mask_time_prob="0.082" \
--gradient_checkpointing \
--learning_rate="3e-4" \
--do_train --do_eval
#--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
#--overwrite_output_dir \
#--model_name_or_path="/home/othrif/projects/wav2vec2/finetune-xlsr/models/ar/msa/wav2vec2-large-xlsr-arabic" \
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