Training Loss	Epoch	Step	Validation Loss	Accuracy
4.375	0.04	10000	4.2815	0.3111
4.0754	0.08	20000	3.9984	0.3341
3.9409	0.11	30000	3.8615	0.3457
3.8554	0.15	40000	3.7798	0.3531
3.7973	0.19	50000	3.7210	0.3584
3.7421	0.23	60000	3.6750	0.3630
3.7097	0.27	70000	3.6378	0.3664
3.6741	0.3	80000	3.6061	0.3694
3.6599	0.34	90000	3.5803	0.3718
3.6356	0.38	100000	3.5584	0.3741
3.6131	0.42	110000	3.5423	0.3758
3.5991	0.46	120000	3.5254	0.3776
3.591	0.49	130000	3.5108	0.3790
3.574	0.53	140000	3.4966	0.3805
3.5606	0.57	150000	3.4866	0.3815
3.5516	0.61	160000	3.4739	0.3828
3.5423	0.64	170000	3.4650	0.3838
3.5298	0.68	180000	3.4560	0.3847
3.5287	0.72	190000	3.4479	0.3857
3.5187	0.76	200000	3.4408	0.3863
3.5157	0.8	210000	3.4339	0.3870
3.5042	0.83	220000	3.4286	0.3876
3.5033	0.87	230000	3.4229	0.3883
3.501	0.91	240000	3.4188	0.3888
3.4946	0.95	250000	3.4149	0.3892
3.4971	0.99	260000	3.4126	0.3894

jonasknobloch/gpt2-ts_cx-en_00000-00009_50k

gpt2+ts_cx-en_00000-00009_50k