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Litzy619/
G0513HMA9H

Name: G0513HMA9H
Availability: InStock

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G0513HMA9H

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
3.1833	0.09	10	2.8807
2.5951	0.18	20	2.1301
1.7113	0.27	30	1.2311
0.8843	0.36	40	0.4509
0.2823	0.45	50	0.1785
0.168	0.54	60	0.1656
0.1556	0.63	70	0.1498
0.1515	0.73	80	0.1492
0.143	0.82	90	0.1504
0.1456	0.91	100	0.1486
0.1482	1.0	110	0.1492
0.1436	1.09	120	0.1483
0.1447	1.18	130	0.1474
0.1454	1.27	140	0.1468
0.1481	1.36	150	0.1458
0.1424	1.45	160	0.1477
0.143	1.54	170	0.1452
0.1436	1.63	180	0.1422
0.141	1.72	190	0.1397
0.1357	1.81	200	0.1380
0.1392	1.9	210	0.1358
0.1352	1.99	220	0.1315
0.1272	2.08	230	0.1282
0.1265	2.18	240	0.1276
0.1245	2.27	250	0.1274
0.1257	2.36	260	0.1269
0.1269	2.45	270	0.1276
0.123	2.54	280	0.1245
0.118	2.63	290	0.1226
0.1199	2.72	300	0.1217
0.1219	2.81	310	0.1216
0.1193	2.9	320	0.1218
0.1217	2.99	330	0.1217