test

run_xla_test.sh

@@ -4,7 +4,7 @@
 #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-2" \
+	--output_dir="../whisper-NST-TPU-test4" \
 	--overwrite_output_dir=True \
 	--language="Norwegian" \
 	--task="transcribe" \
@@ -18,14 +18,14 @@ python xla_spawn.py --num_cores=4 run_whisper_finetuning.py\
     	--per_device_train_batch_size=16 \
 	--learning_rate=2e-5 \
 	--warmup_steps=0 \
-	--max_steps=2000 \
+	--max_steps=20 \
 	--gradient_checkpointing=True \
 	--gradient_accumulation_steps=1 \
 	--group_by_length=False \
 	--evaluation_strategy="steps" \
-	--save_steps=200 \
-	--eval_steps=0 \
-	--max_eval_samples=1 \
+	--save_steps=20 \
+	--eval_steps=1 \
+	--max_eval_samples=2 \
 	--logging_steps=100 \
 	--load_best_model_at_end=False \
 	--metric_for_best_model="wer" \