up

run.sh

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+#!/usr/bin/env bash
+
+CUDA_VISIBLE_DEVICES="0" python run_speech_recognition_ctc.py \
+	--dataset_name="common_voice" \
+	--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
+	--dataset_config_name="tr" \
+	--output_dir="./wav2vec2-common_voice-tr-demo" \
+	--preprocessing_num_workers="1" \
+	--overwrite_output_dir \
+	--num_train_epochs="15" \
+	--per_device_train_batch_size="16" \
+	--gradient_accumulation_steps="2" \
+	--learning_rate="3e-4" \
+	--warmup_steps="500" \
+	--evaluation_strategy="steps" \
+	--audio_column_name="path" \
+	--text_column_name="sentence" \
+	--save_steps="400" \
+	--eval_steps="100" \
+	--logging_steps="1" \
+	--layerdrop="0.0" \
+	--save_total_limit="3" \
+	--freeze_feature_extractor \
+	--gradient_checkpointing \
+	--chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \
+	--fp16 \
+	--group_by_length \
+	--push_to_hub \
+	--do_train --do_eval