You can deploy this model and start earning money today!

xiulinyang/
gpt2_small_baby_100M_32768_53

Name: gpt2_small_baby_100M_32768_53
Availability: InStock

Views

No views yet

gpt2_small_baby_100M_32768_53

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.9951	0.23	2000	5.9128	0.2039
4.8479	0.45	4000	5.1982	0.2263
4.3718	0.68	6000	4.7585	0.2591
4.034	0.91	8000	4.4527	0.2815
3.7967	1.13	10000	4.2415	0.2967
3.6185	1.36	12000	4.0770	0.3098
3.4828	1.59	14000	3.9549	0.3210
3.3735	1.81	16000	3.8477	0.3325
3.2695	2.04	18000	3.7618	0.3397
3.1816	2.27	20000	3.6863	0.3466
3.1191	2.49	22000	3.6326	0.3516
3.073	2.72	24000	3.5847	0.3565
3.0324	2.94	26000	3.5411	0.3607
2.9627	3.17	28000	3.5119	0.3635
2.9427	3.4	30000	3.4731	0.3673
2.916	3.62	32000	3.4523	0.3689
2.8982	3.85	34000	3.4297	0.3720
2.8437	4.08	36000	3.4139	0.3734
2.8304	4.3	38000	3.3973	0.3752
2.8095	4.53	40000	3.3824	0.3773
2.8027	4.76	42000	3.3581	0.3797
2.7876	4.98	44000	3.3394	0.3818
2.7306	5.21	46000	3.3245	0.3835
2.7264	5.44	48000	3.3138	0.3857
2.7175	5.66	50000	3.2972	0.3869
2.7014	5.89	52000	3.2819	0.3891
2.6378	6.12	54000	3.2788	0.3903
2.6321	6.34	56000	3.2709	0.3914
2.6428	6.57	58000	3.2591	0.3924
2.6444	6.8	60000	3.2496	0.3936
2.6204	7.02	62000	3.2425	0.3948
2.5857	7.25	64000	3.2365	0.3958
2.5698	7.47	66000	3.2305	0.3968
2.5876	7.7	68000	3.2217	0.3978
2.5862	7.93	70000	3.2107	0.3994
2.5144	8.15	72000	3.2227	0.3992
2.5267	8.38	74000	3.2170	0.3996
2.5384	8.61	76000	3.2106	0.4009
2.5216	8.83	78000	3.1999	0.4013
2.5006	9.06	80000	3.2022	0.4014
2.4797	9.29	82000	3.1977	0.4022
2.484	9.51	84000	3.1924	0.4030
2.4784	9.74	86000	3.1907	0.4034
2.4865	9.97	88000	3.1848	0.4044
2.4351	10.19	90000	3.1854	0.4041
2.4311	10.42	92000	3.1863	0.4049
2.4408	10.65	94000	3.1832	0.4054
2.4403	10.87	96000	3.1786	0.4060
2.4179	11.1	98000	3.1800	0.4061
2.4035	11.33	100000	3.1784	0.4065