run.sh

export WANDB_ENTITY="cahya"
export WANDB_PROJECT="xlsr-luganda"
export WANDB_LOG_MODEL=true

python run_speech_recognition_ctc.py \
--dataset_name="mozilla-foundation/common_voice_7_0" \
--model_name_or_path="indonesian-nlp/wav2vec2-luganda" \
--dataset_config_name="lg" \
--output_dir="./" \
--overwrite_output_dir \
--num_train_epochs="10" \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="2" \
--gradient_accumulation_steps="4" \
--learning_rate="1e-8" \
--warmup_steps="10" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
--save_steps="10" \
--eval_steps="10" \
--logging_steps="10" \
--layerdrop="0.0" \
--activation_dropout="0.1" \
--save_total_limit="3" \
--freeze_feature_encoder \
--feat_proj_dropout="0.0" \
--mask_time_prob="0.4" \
--mask_time_length="10" \
--mask_feature_prob="0.25" \
--mask_feature_length="64" \
--gradient_checkpointing \
--use_auth_token \
--fp16=true \
--group_by_length \
--do_train=true \
--do_eval=true \
--push_to_hub=true \
--chars_to_ignore , ? . ! \; \: \"\" \% \' \" \' \' \` … \’ » « \‘ '“' '”' � é û \‘ \’ \( \)