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#!/usr/bin/env bash
CUDA_VISIBLE_DEVICES=1 python run_speech_recognition_whisper.py \
--model_name_or_path="medium.en" \
--dataset_name="ldc/switchboard" \
--dataset_config_name="all" \
--train_split_name="train.switchboard" \
--eval_split_name="validation.switchboard" \
--test_split_name="test.switchboard+test.callhome" \
--text_column_name="text" \
--max_steps="5000" \
--output_dir="./" \
--run_name="whisper-switchboard-5k" \
--wandb_project="whisper" \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="16" \
--logging_steps="25" \
--learning_rate="1e-4" \
--warmup_steps="500" \
--report_to="wandb" \
--preprocessing_num_workers="16" \
--evaluation_strategy="steps" \
--eval_steps="1000" \
--save_strategy="steps" \
--save_steps="1000" \
--generation_max_length="224" \
--length_column_name="input_lengths" \
--do_lower_case="True" \
--push_to_hub="False" \
--gradient_checkpointing \
--group_by_length \
--freeze_encoder \
--fp16 \
--overwrite_output_dir \
--do_train \
--do_eval \
--do_predict \
--predict_with_generate \
--use_auth_token \
--torchaudio_resampler
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