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#!/usr/bin/env bash
python run_flax_speech_recognition_seq2seq.py \
--dataset_name="librispeech_asr" \
--model_name_or_path="./" \
--dataset_config_name="all" \
--train_split_name="train.clean.100+train.clean.360+train.other.500" \
--eval_split_name="validation.clean" \
--dataset_cache_dir="/home/sanchitgandhi/cache/huggingface/datasets" \
--output_dir="./output_dir" \
--preprocessing_num_workers="16" \
--length_column_name="input_length" \
--overwrite_output_dir \
--num_train_epochs="3" \
--per_device_train_batch_size="8" \
--per_device_eval_batch_size="2" \
--logging_steps="25" \
--gradient_checkpointing \
--max_duration_in_seconds="20" \
--max_target_length="128" \
--generation_max_length="40" \
--generation_num_beams="1" \
--final_generation_max_length="200" \
--final_generation_num_beams="5" \
--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 \
--wandb_project="flax-wav2vec2-2-bart-large-960h"
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