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added evaluation metric on cv8 test dataset
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python run_speech_recognition_ctc.py \
--dataset_name="mozilla-foundation/common_voice_8_0" \
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
--dataset_config_name="zh-HK" \
--output_dir="./" \
--cache_dir="../container_0" \
--num_train_epochs="100" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="16" \
--gradient_accumulation_steps="2" \
--learning_rate="3e-4" \
--warmup_steps="500" \
--text_column_name="sentence" \
--length_column_name="input_length" \
--layerdrop="0.0" \
--save_total_limit="3" \
--freeze_feature_encoder \
--gradient_checkpointing \
--fp16 \
--group_by_length \
--use_auth_token \
--push_to_hub \
--do_train \
--do_eval \
--max_duration_in_seconds="6" \
--evaluation_strategy='epoch' \
--save_strategy='epoch'