wav2vec2-base-turkish / run-small.sh
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Training in progress, step 500
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python run_speech_recognition_ctc.py \
--dataset_name="common_voice" \
--model_name_or_path="cahya/wav2vec2-base-turkish-artificial-cv" \
--dataset_config_name="tr" \
--output_dir="./output" \
--overwrite_output_dir \
--max_steps="100" \
--per_device_train_batch_size="2" \
--learning_rate="3e-6" \
--save_total_limit="1" \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
--length_column_name="input_length" \
--save_steps="5" \
--layerdrop="0.0" \
--freeze_feature_encoder \
--gradient_checkpointing \
--fp16=false \
--group_by_length \
--push_to_hub \
--use_auth_token \
--do_train --do_eval