 Training results  | Training Loss | Epoch | Step | Validation Loss | Cer    | Wer    | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| | 11.1557       | 1.84  | 100  | 4.2251          | 1.0    | 1.0    | | 3.7231        | 3.7   | 200  | 3.5794          | 1.0    | 1.0    | | 3.3076        | 5.55  | 300  | 3.4362          | 1.0    | 1.0    | | 3.2495        | 7.4   | 400  | 3.2553          | 1.0    | 1.0    | | 3.2076        | 9.26  | 500  | 3.2932          | 1.0    | 1.0    | | 3.1304        | 11.11 | 600  | 3.1100          | 1.0    | 1.0    | | 2.899         | 12.95 | 700  | 2.4021          | 0.8477 | 1.0    | | 2.2875        | 14.81 | 800  | 1.5473          | 0.4790 | 0.9984 | | 1.7605        | 16.66 | 900  | 1.1034          | 0.3061 | 0.9192 | | 1.3802        | 18.51 | 1000 | 0.9422          | 0.2386 | 0.8530 | | 1.0989        | 20.37 | 1100 | 0.7429          | 0.1667 | 0.6042 | | 0.857         | 22.22 | 1200 | 0.7490          | 0.1499 | 0.5751 | | 0.6899        | 24.07 | 1300 | 0.6376          | 0.1286 | 0.4798 | | 0.5927        | 25.92 | 1400 | 0.6887          | 0.1232 | 0.4443 | | 0.4699        | 27.77 | 1500 | 0.6341          | 0.1184 | 0.4378 | | 0.4029        | 29.62 | 1600 | 0.6341          | 0.1103 | 0.4216 | | 0.3492        | 31.48 | 1700 | 0.6709          | 0.1121 | 0.4120 | | 0.3019        | 33.33 | 1800 | 0.7665          | 0.1097 | 0.4136 | | 0.2681        | 35.18 | 1900 | 0.6671          | 0.1085 | 0.4120 | | 0.2491        | 37.04 | 2000 | 0.7049          | 0.1010 | 0.3748 | | 0.2108        | 38.88 | 2100 | 0.6699          | 0.1064 | 0.3974 | | 0.2146        | 40.73 | 2200 | 0.7037          | 0.1046 | 0.3780 | | 0.1854        | 42.59 | 2300 | 0.6970          | 0.1055 | 0.4006 | | 0.1693        | 44.44 | 2400 | 0.6593          | 0.0980 | 0.3764 | | 0.1628        | 46.29 | 2500 | 0.7162          | 0.0998 | 0.3764 | | 0.156         | 48.15 | 2600 | 0.6445          | 0.0998 | 0.3829 | | 0.1439        | 49.99 | 2700 | 0.6437          | 0.1004 | 0.3845 | | 0.1292        | 51.84 | 2800 | 0.6471          | 0.0944 | 0.3457 | | 0.1287        | 53.7  | 2900 | 0.6411          | 0.0923 | 0.3538 | | 0.1186        | 55.55 | 3000 | 0.6754          | 0.0992 | 0.3813 | | 0.1175        | 57.4  | 3100 | 0.6741          | 0.0953 | 0.3538 | | 0.1082        | 59.26 | 3200 | 0.6949          | 0.0977 | 0.3619 | | 0.105         | 61.11 | 3300 | 0.6919          | 0.0983 | 0.3683 | | 0.1048        | 62.95 | 3400 | 0.6802          | 0.0950 | 0.3425 | | 0.092         | 64.81 | 3500 | 0.6830          | 0.0962 | 0.3263 | | 0.0904        | 66.66 | 3600 | 0.6993          | 0.0971 | 0.3554 | | 0.0914        | 68.51 | 3700 | 0.6932          | 0.0995 | 0.3554 | | 0.0823        | 70.37 | 3800 | 0.6742          | 0.0950 | 0.3409 | | 0.0799        | 72.22 | 3900 | 0.6852          | 0.0917 | 0.3279 | | 0.0767        | 74.07 | 4000 | 0.6684          | 0.0929 | 0.3489 | | 0.0736        | 75.92 | 4100 | 0.6611          | 0.0923 | 0.3393 | | 0.0708        | 77.77 | 4200 | 0.7123          | 0.0944 | 0.3393 | | 0.0661        | 79.62 | 4300 | 0.6577          | 0.0899 | 0.3247 | | 0.0651        | 81.48 | 4400 | 0.6671          | 0.0869 | 0.3150 | | 0.0607        | 83.33 | 4500 | 0.6980          | 0.0893 | 0.3231 | | 0.0552        | 85.18 | 4600 | 0.6947          | 0.0884 | 0.3183 | | 0.0574        | 87.04 | 4700 | 0.6652          | 0.0899 | 0.3183 | | 0.0503        | 88.88 | 4800 | 0.6798          | 0.0863 | 0.3053 | | 0.0479        | 90.73 | 4900 | 0.6690          | 0.0884 | 0.3166 | | 0.0483        | 92.59 | 5000 | 0.6789          | 0.0872 | 0.3069 | | 0.0437        | 94.44 | 5100 | 0.6758          | 0.0875 | 0.3069 | | 0.0458        | 96.29 | 5200 | 0.6662          | 0.0884 | 0.3102 | | 0.0434        | 98.15 | 5300 | 0.6699          | 0.0881 | 0.3069 | | 0.0449        | 99.99 | 5400 | 0.6700          | 0.0854 | 0.3069 |   