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python run_speech_recognition_ctc.py \
--dataset_name="mozilla-foundation/common_voice_8_0" \
--dataset_config_name="ka" \
--model_name_or_path="facebook/wav2vec2-xls-r-1b" \
--output_dir="./" \
--overwrite_output_dir \
--max_steps 1000 \
--per_device_train_batch_size="16" \
--per_device_eval_batch_size="64" \
--gradient_accumulation_steps="8" \
--dataloader_num_workers 8 \
--learning_rate="8e-5" \
--lr_scheduler_type cosine \
--adam_beta2 0.98 \
--warmup_ratio 0.1 \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
--chars_to_ignore \, \? \. \! \- \; \: \" \“ \% \‘ ” „ \� \' « » \( \) ։ ՝ ՞ ՛ ՚ \
--save_steps="100" \
--eval_steps="100" \
--logging_steps="100" \
--save_total_limit="2" \
--freeze_feature_encoder \
--layerdrop="0.1" \
--activation_dropout="0.1" \
--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 \
--use_auth_token \
--fp16 \
--group_by_length \
--do_train --do_eval \
--load_best_model_at_end \
--report_to all \
--run_name="xlsr-ka-cv-1b-1" \
--wandb_project="xlsr-ka" \
--bnb --tristage_sched
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