Update README.md

README.md

@@ -70,38 +70,38 @@ The following hyperparameters were used during training:
 ### Training results
 
 / Step / Training Loss / Validation Loss / Wer /
-400 / 3.794000 / 3.532227 / 1.000000 / 
-800 / 3.362400 / 3.359044 / 1.000000 / 
-1200 / 2.293900 / 1.011279 / 0.829924 / 
-1600 / 1.233000 / 0.502743 / 0.593662 / 
-2000 / 0.962600 / 0.412519 / 0.496992 / 
-2400 / 0.831800 / 0.402903 / 0.493783 / 
-2800 / 0.737000 / 0.389773 / 0.469314 / 
-3200 / 0.677100 / 0.373987 / 0.436021 / 
-3600 / 0.634400 / 0.383823 / 0.432010 / 
-4000 / 0.586000 / 0.375610 / 0.419575 / 
-4400 / 0.561000 / 0.387891 / 0.418371 / 
-4800 / 0.518500 / 0.386357 / 0.417569 / 
-5200 / 0.515300 / 0.415069 / 0.430004 / 
-5600 / 0.478100 / 0.399211 / 0.408744 / 
-6000 / 0.468100 / 0.424542 / 0.402327 / 
-6400 / 0.439400 / 0.430979 / 0.410750 / 
-6800 / 0.429600 / 0.427700 / 0.409146 / 
-7200 / 0.400300 / 0.451111 / 0.419976 / 
-7600 / 0.395100 / 0.463446 / 0.405134 / 
-8000 / 0.381800 / 0.454752 / 0.407942 / 
-8400 / 0.371500 / 0.461547 / 0.404733 / 
-8800 / 0.362500 / 0.461543 / 0.411151 / 
-9200 / 0.338200 / 0.468299 / 0.417168 / 
-9600 / 0.338800 / 0.480989 / 0.412355 / 
-10000 / 0.317600 / 0.475700 / 0.410750 / 
-10400 / 0.315100 / 0.478920 / 0.403530 / 
-10800 / 0.296200 / 0.480600 / 0.398315 / 
-11200 / 0.299000 / 0.477083 / 0.393502 / 
-11600 / 0.290000 / 0.465646 / 0.393903 / 
-12000 / 0.290900 / 0.490041 / 0.405937 / 
-12400 / 0.275600 / 0.489354 / 0.399519 / 
-12800 / 0.272600 / 0.494580 / 0.39 /909
+/ 400 / 3.794000 / 3.532227 / 1.000000 / 
+/ 800 / 3.362400 / 3.359044 / 1.000000 / 
+/ 1200 / 2.293900 / 1.011279 / 0.829924 / 
+/ 1600 / 1.233000 / 0.502743 / 0.593662 / 
+/ 2000 / 0.962600 / 0.412519 / 0.496992 / 
+/ 2400 / 0.831800 / 0.402903 / 0.493783 / 
+/ 2800 / 0.737000 / 0.389773 / 0.469314 / 
+/ 3200 / 0.677100 / 0.373987 / 0.436021 / 
+/ 3600 / 0.634400 / 0.383823 / 0.432010 / 
+/ 4000 / 0.586000 / 0.375610 / 0.419575 / 
+/ 4400 / 0.561000 / 0.387891 / 0.418371 / 
+/ 4800 / 0.518500 / 0.386357 / 0.417569 / 
+/ 5200 / 0.515300 / 0.415069 / 0.430004 / 
+/ 5600 / 0.478100 / 0.399211 / 0.408744 / 
+/ 6000 / 0.468100 / 0.424542 / 0.402327 / 
+/ 6400 / 0.439400 / 0.430979 / 0.410750 / 
+/ 6800 / 0.429600 / 0.427700 / 0.409146 / 
+/ 7200 / 0.400300 / 0.451111 / 0.419976 / 
+/ 7600 / 0.395100 / 0.463446 / 0.405134 / 
+/ 8000 / 0.381800 / 0.454752 / 0.407942 / 
+/ 8400 / 0.371500 / 0.461547 / 0.404733 / 
+/ 8800 / 0.362500 / 0.461543 / 0.411151 / 
+/ 9200 / 0.338200 / 0.468299 / 0.417168 / 
+/ 9600 / 0.338800 / 0.480989 / 0.412355 / 
+/ 10000 / 0.317600 / 0.475700 / 0.410750 / 
+/ 10400 / 0.315100 / 0.478920 / 0.403530 / 
+/ 10800 / 0.296200 / 0.480600 / 0.398315 / 
+/ 11200 / 0.299000 / 0.477083 / 0.393502 / 
+/ 11600 / 0.290000 / 0.465646 / 0.393903 / 
+/ 12000 / 0.290900 / 0.490041 / 0.405937 / 
+/ 12400 / 0.275600 / 0.489354 / 0.399519 / 
+/ 12800 / 0.272600 / 0.494580 / 0.395909 /
 
 
 ### Framework versions