xla stuff

run_xla_test.sh

@@ -1,36 +1,37 @@
 # Whisper Finetuning script for the NST dataset
 # This is a test script for XLA on TPU
 
-PT_XLA_DEBUG=1 python xla_spawn.py --num_cores=4 run_whisper_finetuning.py\
+#PT_XLA_DEBUG=1 
+python xla_spawn.py --num_cores=4 run_whisper_finetuning.py\
 	--model_name_or_path="openai/whisper-small" \
-	--output_dir="../whisper-NST-TPU-test" \
+	--output_dir="../whisper-NST-TPU-test-2" \
 	--overwrite_output_dir=True \
 	--language="Norwegian" \
 	--task="transcribe" \
 	--dataset_name="NbAiLab/NST" \
 	--dataset_config="no-close" \
 	--do_train=True \
-	--do_eval=True \
+	--do_eval=False \
 	--audio_column_name="audio" \
 	--text_column_name="text" \
 	--per_device_train_batch_size=16 \
     	--per_device_train_batch_size=16 \
 	--learning_rate=2e-5 \
 	--warmup_steps=0 \
-	--max_steps=10 \
+	--max_steps=2000 \
 	--gradient_checkpointing=True \
 	--gradient_accumulation_steps=1 \
 	--group_by_length=False \
 	--evaluation_strategy="steps" \
-	--save_steps=10 \
-	--eval_steps=10 \
-	--max_eval_samples=2 \
-	--logging_steps=10 \
-	--load_best_model_at_end=True \
+	--save_steps=200 \
+	--eval_steps=0 \
+	--max_eval_samples=1 \
+	--logging_steps=100 \
+	--load_best_model_at_end=False \
 	--metric_for_best_model="wer" \
 	--greater_is_better=False \
 	--report_to="tensorboard" \
-	--predict_with_generate=True \
+	--predict_with_generate=False \
 	--generation_max_length=225 \
 	--print_training_arguments=True \
 	--xla=True \