diff --git a/vall_e/data.py b/vall_e/data.py
index 8680619..6115b7c 100755
--- a/vall_e/data.py
+++ b/vall_e/data.py
@@ -734,7 +734,7 @@ class Dataset(_Dataset):
 
 	@cached_property
 	def sampler_state_dict_path(self):
-		return cfg.rel_path / f"sampler.{self.sampler_type}.rank{global_rank()}.pt"
+		return cfg.ckpt_dir / cfg.model.full_name / f"sampler.{self.sampler_type}.rank{global_rank()}.pt"
 		
 	def get_speaker(self, path):
 		if isinstance(path, str):
diff --git a/vall_e/train.py b/vall_e/train.py
index 1f76dea..7c7cd29 100755
--- a/vall_e/train.py
+++ b/vall_e/train.py
@@ -103,19 +103,25 @@ def run_eval(engines, eval_name, dl):
 		for key in batch.keys():
 			batch[key] = batch[key][:cfg.evaluation.batch_size]
 
-		processed += len(batch["text"])
+		batch_size = len(batch["text"])
+
+		processed += batch_size
 
 		for name in engines:
 			engine = engines[name]
 
 			# to-do: eval for text tasks
-			for i, task in batch["task"]:
+			has_stt = False
+			for i, task in enumerate( batch["task"] ):
+				# easier to just change it to a tts task than drop stt tasks from the batch
 				if task == "stt":
+					has_stt = True
 					batch["task"][i] = "tts"
+					batch["proms"][i] = batch["resps"][i][:75*3, :]
 
 			kwargs = dict(
 				text_list=batch["text"],
-				prom_list=batch["proms"],
+				proms_list=batch["proms"],
 				lang_list=batch["lang"],
 				task_list=batch["task"],
 			)
@@ -137,6 +143,20 @@ def run_eval(engines, eval_name, dl):
 
 			process( name, batch, resps_list )
 
+			# evaluate why it's so slow
+			if has_stt:
+				max_steps = max( [ text.shape[0] for text in batch["text"] ] )
+
+				kwargs["text_list"] = None
+				kwargs["task_list"] = [ "stt" for _ in range(batch_size) ]
+				kwargs["proms_list"] = [ ["stt"] for _ in range(batch_size) ]
+				kwargs["resps_list"] = batch["resps"]
+
+				text_list = engine( **kwargs, max_steps=max_steps, sampling_temperature=0.0)
+				text_list = [ cfg.tokenizer.decode( text ) for i, text in enumerate( text_list ) ]
+
+				_logger.info(f"Validation Metrics (STT): {text_list}")
+
 	stats = {k: sum(v) / len(v) for k, v in stats.items()}
 	engines_stats = {
 		f'{name}.{eval_name}': stats,