#!/usr/bin/env bash
python -m torch.distributed.launch \
        --nproc_per_node 2 run_speech_recognition_ctc.py \
        --dataset_name="common_voice" \
        --model_name_or_path="facebook/wav2vec2-xlsr-53-espeak-cv-ft" \
				--tokenizer_name_or_path="facebook/wav2vec2-xlsr-53-espeak-cv-ft" \
        --dataset_config_name="tr" \
				--phoneme_language="tr" \
        --output_dir="./wav2vec2-xls-r-phoneme-300m-tr" \
        --overwrite_output_dir \
        --num_train_epochs="3" \
        --per_device_train_batch_size="1" \
        --gradient_accumulation_steps="8" \
        --learning_rate="5e-5" \
        --warmup_steps="500" \
        --evaluation_strategy="steps" \
        --text_column_name="sentence" \
				--pad_token="<pad>" \
				--unk_token="<unk>" \
        --save_steps="100" \
        --eval_steps="100" \
        --logging_steps="1" \
        --layerdrop="0.0" \
        --save_total_limit="3" \
        --freeze_feature_extractor \
        --chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \
        --fp16 \
        --group_by_length \
        --do_eval \
        --gradient_checkpointing \
        --use_auth_token \
			  --do_train --do_eval \
				--push_to_hub \