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Litzy619/
V0503HMA9H

Name: V0503HMA9H
Availability: InStock

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V0503HMA9H

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
1.9162	0.09	10	0.6741
0.26	0.18	20	0.1259
0.1199	0.27	30	0.1014
0.1056	0.36	40	0.0882
0.0808	0.45	50	0.0722
0.0834	0.54	60	0.0733
0.0778	0.63	70	0.0708
0.0769	0.73	80	0.0877
0.0887	0.82	90	0.0852
0.0958	0.91	100	0.0714
0.0887	1.0	110	0.0714
0.0764	1.09	120	0.0741
0.0738	1.18	130	0.0756
0.0733	1.27	140	0.0791
0.0723	1.36	150	0.0697
0.093	1.45	160	0.0785
0.0805	1.54	170	0.0684
0.0737	1.63	180	0.0776
0.0675	1.72	190	0.0714
0.0732	1.81	200	0.0746
0.0607	1.9	210	0.0659
0.0616	1.99	220	0.0631
0.0445	2.08	230	0.0711
0.0413	2.18	240	0.0712
0.0397	2.27	250	0.0714
0.0385	2.36	260	0.0688
0.0416	2.45	270	0.0649
0.0375	2.54	280	0.0662
0.0362	2.63	290	0.0642
0.0372	2.72	300	0.0621
0.0372	2.81	310	0.0625
0.0348	2.9	320	0.0620
0.0361	2.99	330	0.0619