#!/usr/bin/env bash
JAX_DEFAULT_MATMUL_PRECISION=float32 python run_flax_speech_recognition_seq2seq.py \
	--dataset_name="librispeech_asr" \
	--model_name_or_path="./" \
	--dataset_config_name="clean" \
	--train_split_name="train.100[:5%]" \
	--eval_split_name="validation[:5%]" \
	--output_dir="./" \
	--preprocessing_num_workers="16" \
	--length_column_name="input_length" \
	--overwrite_output_dir \
	--num_train_epochs="1" \
	--per_device_train_batch_size="1" \
	--per_device_eval_batch_size="1" \
	--logging_steps="1" \
	--max_duration_in_seconds="10" \
	--max_target_length="32" \
	--generation_max_length="40" \
	--generation_num_beams="1" \
	--learning_rate="3e-4" \
	--warmup_steps="500" \
	--text_column_name="text" \
	--save_total_limit="1" \
	--freeze_feature_encoder \
	--predict_with_generate \
	--do_lower_case \
	--do_eval --do_train \
	--push_to_hub \
	--use_auth_token