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python src/run_speech_recognition_seq2seq_streaming.py \
--model_name_or_path="openai/whisper-small" \
--dataset_name="mozilla-foundation/common_voice_11_0" \
--dataset_config_name="be" \
--language="be" \
--train_split_name="train" \
--eval_split_name="validation" \
--model_index_name="Whisper Small Belarusian" \
\
--max_steps="12000" \
--output_dir="./" \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="64" \
--logging_steps="50" \
--logging_first_step \
--learning_rate="1e-4" \
--warmup_steps="500" \
--evaluation_strategy="steps" \
--eval_steps="1000" \
--save_strategy="steps" \
--save_steps="1000" \
--gradient_checkpointing \
--fp16 \
\
--shuffle_buffer_size="500" \
--generation_max_length="225" \
--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 \
\
--do_train \
--do_eval \
--ignore_data_skip \
--predict_with_generate \
--do_normalize_eval \
--streaming_train="True" \
--streaming_eval="False" \
--use_auth_token \
--push_to_hub \
--hub_model_id="ales/whisper-small-belarusian"
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