python run_speech_recognition_ctc.py \
--dataset_name "mozilla-foundation/common_voice_8_0" "collectivat/tv3_parla" "projecte-aina/parlament_parla" \
--dataset_config_name "ca" "ca" "clean" \
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
--train_split_name "train+validation" "train" "train+validation" \
--eval_split_name "test" "test" "test" \
--audio_column_name "audio" "audio" "audio" \
--output_dir="wav2vec2-xls-r-300m-ca" \
--overwrite_output_dir \
--num_train_epochs="10" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--gradient_accumulation_steps="4" \
--learning_rate="7.5e-5" \
--warmup_steps="2000" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name "sentence" "text" "sentence" \
--chars_to_ignore [ , ? . ! \; \: \" “ % ” � — … – ] \
--save_steps="500" \
--eval_steps="500" \
--logging_steps="500" \
--layerdrop="0.0" \
--activation_dropout="0.1" \
--save_total_limit="3" \
--freeze_feature_encoder \
--feat_proj_dropout="0.0" \
--mask_time_prob="0.75" \
--preprocessing_num_workers="12" \
--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 \
--push_to_hub 
#&> train.log