Training Loss	Epoch	Step	Validation Loss	Accuracy
6.0945	0.33	30000	6.0802	0.1412
5.2818	0.66	60000	5.2151	0.2395
4.8774	0.98	90000	4.8105	0.2760
4.7096	1.31	120000	4.6474	0.2894
4.6109	1.64	150000	4.5460	0.2985
4.5415	1.97	180000	4.4761	0.3050
4.4884	2.29	210000	4.4231	0.3101
4.446	2.62	240000	4.3791	0.3144
4.4072	2.95	270000	4.3416	0.3179
4.3755	3.28	300000	4.3064	0.3218
4.3455	3.6	330000	4.2724	0.3254
4.3172	3.93	360000	4.2410	0.3291
4.2921	4.26	390000	4.2130	0.3324
4.2718	4.59	420000	4.1892	0.3348
4.2485	4.92	450000	4.1688	0.3370
4.2267	5.24	480000	4.1500	0.3394
4.2081	5.57	510000	4.1314	0.3412
4.198	5.9	540000	4.1117	0.3435
4.1666	6.23	570000	4.0949	0.3451
4.1498	6.55	600000	4.0786	0.3464
4.1104	6.88	630000	4.0465	0.3499
4.0715	7.21	660000	4.0078	0.3539
4.0298	7.54	690000	3.9722	0.3576
4.0085	7.87	720000	3.9520	0.3599
3.99	8.19	750000	3.9390	0.3615
3.9799	8.52	780000	3.9272	0.3627
3.9766	8.85	810000	3.9138	0.3641
3.9534	9.18	840000	3.9034	0.3651
3.9521	9.5	870000	3.8918	0.3662
3.9314	9.83	900000	3.8817	0.3670
3.9096	10.16	930000	3.8709	0.3683
3.904	10.49	960000	3.8604	0.3695
3.8965	10.81	990000	3.8509	0.3704
3.8788	11.14	1020000	3.8406	0.3717
3.8748	11.47	1050000	3.8329	0.3728
3.8638	11.8	1080000	3.8250	0.3733
3.8586	12.13	1110000	3.8203	0.3739
3.8495	12.45	1140000	3.8146	0.3746
3.8469	12.78	1170000	3.8054	0.3753
3.8352	13.11	1200000	3.8007	0.3761
3.8339	13.44	1230000	3.7949	0.3766
3.8215	13.76	1260000	3.7894	0.3772
3.8175	14.09	1290000	3.7835	0.3779
3.817	14.42	1320000	3.7768	0.3787

gokuls/model_v1_complete_training_wt_init_48_tiny_emb_comp

model_v1_complete_training_wt_init_48_tiny_emb_comp