diff --git a/src/utils.py b/src/utils.py
index bfaae25..2d0de77 100755
--- a/src/utils.py
+++ b/src/utils.py
@@ -415,7 +415,7 @@ def run_training(config_path, verbose=False, buffer_size=8, progress=gr.Progress
 	its = config['train']['niter']
 
 	checkpoint = 0
-	checkpoints = config['logger']['save_checkpoint_freq'] / its
+	checkpoints = its / config['logger']['save_checkpoint_freq']
 
 	buffer_size = 8
 	open_state = False
@@ -443,40 +443,35 @@ def run_training(config_path, verbose=False, buffer_size=8, progress=gr.Progress
 		elif progress is not None:
 			if line.find('  0%|') == 0:
 				open_state = True
-				it_time_start = time.time()
 			elif line.find('100%|') == 0 and open_state:
-				it_time_end = time.time()
 				open_state = False
 				it = it + 1
 
+				it_time_end = time.time()
 				it_time_delta = it_time_end-it_time_start
-				it_rate = f'[{"{:.3f}".format(it_time_delta)}s/it]' if it_time_delta >= 1 and it_time_delta != 0 else f'[{"{:.3f}".format(1/it_time_delta)}it/s]' # I doubt anyone will have it/s rates, but its here
+				it_time_start = time.time()
+				it_rate = f'[{"{:.3f}".format(it_time_delta)}s/it]' if it_time_delta >= 1 else f'[{"{:.3f}".format(1/it_time_delta)}it/s]' # I doubt anyone will have it/s rates, but its here
 
 				progress(it / float(its), f'[{it}/{its}] {it_rate} Training... {status}')
-			
-			# try because I haven't tested this yet
-			try:
-				if line.find('INFO: [epoch:') >= 0:
-					# easily rip out our stats...
-					match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line)
-					if match and len(match) > 0:
-						for k, v in match:
-							info[k] = float(v)
-					
-					# ...and returns our loss rate
-					# it would be nice for losses to be shown at every step
-					if 'loss_gpt_total' in info:
-						status = f"Total loss at step {int(info['step'])}: {info['loss_gpt_total']}"
-			except Exception as e:
-				pass
-
-			if line.find('Saving models and training states') >= 0:
+
+			if line.find('INFO: [epoch:') >= 0:
+				# easily rip out our stats...
+				match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line)
+				if match and len(match) > 0:
+					for k, v in match:
+						info[k] = float(v)
+				
+				# ...and returns our loss rate
+				# it would be nice for losses to be shown at every step
+				if 'loss_gpt_total' in info:
+					status = f"Total loss at step {int(info['step'])}: {info['loss_gpt_total']}"
+			elif line.find('Saving models and training states') >= 0:
 				checkpoint = checkpoint + 1
 				progress(checkpoint / float(checkpoints), f'[{checkpoint}/{checkpoints}] Saving checkpoint...')
 
 		print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}")
 
-		if verbose:
+		if verbose or not training_started:
 			yield "".join(buffer[-buffer_size:])
 
 	training_process.stdout.close()