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nrishabh/
llama3-8b-instruct-qlora-mini

Name: llama3-8b-instruct-qlora-mini
Availability: InStock

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llama3-8b-instruct-qlora-mini

This model is a fine-tuned version of LoftQ/Meta-Llama-3-8B-Instruct-4bit-64rank 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
2.3909	1.0	53	1.5473
2.1937	2.0	106	1.2690
2.0915	3.0	159	1.0977
1.9927	4.0	212	1.0320
1.9058	5.0	265	1.0046
1.8032	6.0	318	0.9885
1.6688	7.0	371	0.9754
1.5215	8.0	424	0.9745
1.3617	9.0	477	0.9640
1.2074	10.0	530	0.9579
1.0429	11.0	583	0.9441
0.9013	12.0	636	0.9355
0.7969	13.0	689	0.9278
0.7092	14.0	742	0.9171
0.6272	15.0	795	0.9070
0.5688	16.0	848	0.9052
0.5128	17.0	901	0.8942
0.469	18.0	954	0.8894
0.4294	19.0	1007	0.8871
0.3953	20.0	1060	0.8807
0.371	21.0	1113	0.8756
0.3533	22.0	1166	0.8750
0.3335	23.0	1219	0.8730
0.3212	24.0	1272	0.8699
0.3108	25.0	1325	0.8687
0.3089	26.0	1378	0.8676
0.3031	27.0	1431	0.8678
0.3014	28.0	1484	0.8675
0.3013	29.0	1537	0.8666
0.2978	30.0	1590	0.8668