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afaji/
fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

Name: fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

This model is a fine-tuned version of 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	Accuracy
No log	0.16	100	15.6094	0.3384
No log	0.32	200	11.2486	0.4747
No log	0.48	300	9.7003	0.5556
No log	0.64	400	9.0128	0.6212
3.508	0.8	500	9.0146	0.6111
3.508	0.96	600	7.8672	0.6465
3.508	1.12	700	7.4123	0.6768
3.508	1.28	800	7.4161	0.6515
3.508	1.44	900	7.3679	0.6667
0.9934	1.6	1000	6.8781	0.6768
0.9934	1.76	1100	6.7447	0.6717
0.9934	1.92	1200	7.6242	0.6818
0.9934	2.08	1300	6.6278	0.6869
0.9934	2.24	1400	6.4569	0.6970
0.6102	2.4	1500	6.7556	0.7121
0.6102	2.56	1600	6.3065	0.7020
0.6102	2.72	1700	6.2906	0.7071
0.6102	2.88	1800	6.2230	0.7121
0.6102	3.04	1900	6.9069	0.7172
0.4278	3.2	2000	6.0706	0.7172
0.4278	3.36	2100	6.0340	0.7172
0.4278	3.52	2200	5.6554	0.7323
0.4278	3.68	2300	5.8829	0.7020
0.4278	3.84	2400	5.6822	0.7222
0.3174	4.0	2500	5.7620	0.7222
0.3174	4.16	2600	5.7952	0.7172
0.3174	4.32	2700	5.6193	0.7222