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Litzy619/
G0513HMAB2

Name: G0513HMAB2
Availability: InStock

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G0513HMAB2

This model is a fine-tuned version of google/gemma-2b 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
1.9285	0.09	10	1.9193
1.9268	0.18	20	1.9150
1.9047	0.27	30	1.8833
1.8501	0.36	40	1.7905
1.7172	0.45	50	1.6083
1.4992	0.54	60	1.3297
1.1821	0.63	70	0.9550
0.748	0.73	80	0.5145
0.3913	0.82	90	0.2609
0.2021	0.91	100	0.1661
0.1594	1.0	110	0.1513
0.1462	1.09	120	0.1484
0.1441	1.18	130	0.1473
0.1453	1.27	140	0.1458
0.1485	1.36	150	0.1448
0.1407	1.45	160	0.1455
0.1417	1.54	170	0.1428
0.1421	1.63	180	0.1416
0.1428	1.72	190	0.1438
0.1398	1.81	200	0.1403
0.1399	1.9	210	0.1392
0.141	1.99	220	0.1394
0.1377	2.08	230	0.1379
0.1363	2.18	240	0.1374
0.1352	2.27	250	0.1375
0.1394	2.36	260	0.1375
0.1362	2.45	270	0.1373
0.1324	2.54	280	0.1369
0.1317	2.63	290	0.1367
0.133	2.72	300	0.1365
0.1341	2.81	310	0.1364
0.1346	2.9	320	0.1364
0.1365	2.99	330	0.1364