Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1921	1.0	1951	0.1677	0.9417	0.9774	0.9592	0.9650
0.1627	2.0	3902	0.1436	0.9500	0.9779	0.9637	0.9674
0.1395	3.0	5853	0.1266	0.9545	0.9788	0.9665	0.9697
0.1266	4.0	7804	0.1172	0.9661	0.9698	0.9680	0.9702
0.1105	5.0	9755	0.1064	0.9669	0.9766	0.9717	0.9731
0.1011	6.0	11706	0.1011	0.9705	0.9757	0.9731	0.9745
0.0933	7.0	13657	0.0987	0.9718	0.9766	0.9742	0.9752
0.0851	8.0	15608	0.0973	0.9715	0.9787	0.9751	0.9755
0.0758	9.0	17559	0.0998	0.9734	0.9765	0.9750	0.9756
0.069	10.0	19510	0.0993	0.9732	0.9810	0.9771	0.9764
0.0635	11.0	21461	0.1055	0.9739	0.9808	0.9773	0.9766
0.0576	12.0	23412	0.1072	0.9751	0.9794	0.9772	0.9765
0.0493	13.0	25363	0.1078	0.9754	0.9807	0.9780	0.9776
0.0469	14.0	27314	0.1145	0.9757	0.9815	0.9786	0.9777
0.0409	15.0	29265	0.1174	0.9758	0.9806	0.9782	0.9764
0.0373	16.0	31216	0.1218	0.9763	0.9801	0.9782	0.9769
0.0338	17.0	33167	0.1239	0.9768	0.9805	0.9787	0.9773
0.0326	18.0	35118	0.1312	0.9770	0.9787	0.9779	0.9773
0.029	19.0	37069	0.1320	0.9764	0.9809	0.9786	0.9773
0.0245	20.0	39020	0.1376	0.9767	0.9802	0.9784	0.9777
0.0231	21.0	40971	0.1382	0.9763	0.9814	0.9788	0.9776
0.0212	22.0	42922	0.1473	0.9762	0.9826	0.9794	0.9780
0.0201	23.0	44873	0.1485	0.9762	0.9816	0.9789	0.9778
0.0187	24.0	46824	0.1494	0.9763	0.9818	0.9790	0.9775
0.0166	25.0	48775	0.1502	0.9769	0.9813	0.9791	0.9781
0.0163	26.0	50726	0.1560	0.9769	0.9813	0.9791	0.9785
0.0149	27.0	52677	0.1556	0.9764	0.9824	0.9794	0.9784
0.0143	28.0	54628	0.1587	0.9767	0.9818	0.9792	0.9784
0.0126	29.0	56579	0.1589	0.9766	0.9821	0.9793	0.9784
0.013	30.0	58530	0.1599	0.9768	0.9820	0.9794	0.9786

Buseak/spellcorrector_2510_v15_canine-s

spellcorrector_2510_v15_canine-s