Create train.sh

train.sh

@@ -0,0 +1,19 @@
+./run_wav2vec2_pretrain_flax.py \
+    --output_dir="./output50" \
+    --speech_file_column="path" \
+    --num_train_epochs="50" \
+    --per_device_train_batch_size="32" \
+    --per_device_eval_batch_size="32" \
+		--validation_split_percentage="5" \
+    --learning_rate="5e-4" \
+    --weight_decay="0.01" \
+    --warmup_steps="1000" \
+    --model_name_or_path="./" \
+    --dataset_name="common_voice" \
+    --dataset_config_name="dv" \
+    --preprocessing_num_workers="96" \
+    --max_duration_in_seconds="10.0" \
+    --adam_beta1="0.9" \
+    --adam_beta2="0.98" \
+		--dtype="bfloat16" \
+		--pad_to_multiple_of="16384"