run.sh

deepspeed run_speech_recognition_seq2seq_streaming.py \
	--deepspeed="ds_config.json" \
        --model_name_or_path="openai/whisper-large-v2" \
        --dataset_name="mozilla-foundation/common_voice_11_0" \
        --dataset_config_name="cs" \
        --language="czech" \
        --train_split_name="train+validation" \
        --eval_split_name="test" \
        --model_index_name="Whisper Large-v2 Czech CV11 v2" \
        --max_steps="5000" \
        --output_dir="./" \
        --per_device_train_batch_size="32" \
        --per_device_eval_batch_size="8" \
        --gradient_accumulation_steps="2" \
        --logging_steps="25" \
        --learning_rate="1e-5" \
        --warmup_steps="500" \
        --evaluation_strategy="steps" \
        --eval_steps="1000" \
        --save_strategy="steps" \
        --save_steps="1000" \
        --generation_max_length="225" \
        --length_column_name="input_length" \
        --max_duration_in_seconds="30" \
        --text_column_name="sentence" \
        --freeze_feature_encoder="False" \
        --report_to="tensorboard" \
        --metric_for_best_model="wer" \
        --greater_is_better="False" \
        --load_best_model_at_end \
        --gradient_checkpointing \
        --fp16 \
        --overwrite_output_dir \
        --do_train \
        --do_eval \
        --predict_with_generate \
        --do_normalize_eval \
        --streaming="False" \
        --use_auth_token \
        --push_to_hub