Training Loss	Epoch	Step	Validation Loss	Accuracy
5.7497	0.05	10000	5.6455	0.1803
5.0738	0.11	20000	4.7886	0.2740
4.6823	0.16	30000	4.3914	0.3131
4.3942	0.22	40000	4.0874	0.3480
3.9186	0.27	50000	3.6561	0.3997
3.5977	0.33	60000	3.3709	0.4341
3.3917	0.38	70000	3.1996	0.4550
3.2539	0.44	80000	3.0836	0.4692
3.1642	0.49	90000	2.9976	0.4799
3.0815	0.55	100000	2.9278	0.4888
3.0111	0.6	110000	2.8682	0.4963
2.9572	0.66	120000	2.8223	0.5022
2.916	0.71	130000	2.7781	0.5077
2.8748	0.76	140000	2.7422	0.5121
2.8493	0.82	150000	2.7090	0.5167
2.8057	0.87	160000	2.6750	0.5207
2.7837	0.93	170000	2.6563	0.5236
2.7467	0.98	180000	2.6266	0.5271
2.7348	1.04	190000	2.6050	0.5303
2.7011	1.09	200000	2.5818	0.5330
2.6782	1.15	210000	2.5629	0.5356
2.658	1.2	220000	2.5464	0.5382
2.6375	1.26	230000	2.5260	0.5406
2.6257	1.31	240000	2.5065	0.5431
2.6122	1.37	250000	2.4934	0.5449
2.5836	1.42	260000	2.4741	0.5472
2.5706	1.47	270000	2.4647	0.5486
2.5536	1.53	280000	2.4519	0.5506
2.5403	1.58	290000	2.4376	0.5526
2.538	1.64	300000	2.4244	0.5538
2.5152	1.69	310000	2.4085	0.5558
2.4968	1.75	320000	2.4027	0.5576
2.4894	1.8	330000	2.3890	0.5586
2.4776	1.86	340000	2.3752	0.5606
2.476	1.91	350000	2.3631	0.5622
2.4541	1.97	360000	2.3559	0.5632
2.4474	2.02	370000	2.3448	0.5647
2.4434	2.08	380000	2.3349	0.5660
2.4324	2.13	390000	2.3300	0.5669
2.4264	2.18	400000	2.3182	0.5684
2.4034	2.24	410000	2.3082	0.5699
2.4034	2.29	420000	2.3007	0.5710
2.3946	2.35	430000	2.2905	0.5718
2.3816	2.4	440000	2.2830	0.5732
2.3774	2.46	450000	2.2771	0.5738
2.3651	2.51	460000	2.2686	0.5754

gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48_frz

bert_12_layer_model_v1_complete_training_new_wt_init_48_frz