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brettbbb/
llama_mc_finetune

Name: llama_mc_finetune
Availability: InStock

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llama_mc_finetune

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the truthful_qa 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
1.6688	1.0	109	2.2295	0.2988
1.044	2.0	218	2.1568	0.3354
0.3249	3.0	327	0.7980	0.7195
1.3202	4.0	436	2.2679	0.1768
1.325	5.0	545	0.9487	0.8232
0.0001	6.0	654	1.3517	0.8171
1.8235	7.0	763	1.5762	0.7622
0.0001	8.0	872	1.5415	0.8415
0.0	9.0	981	1.1195	0.8110
0.0	10.0	1090	1.2257	0.8232
0.0	11.0	1199	1.3680	0.8171
0.0	12.0	1308	1.3485	0.8171
0.0	13.0	1417	1.3482	0.8171
0.0	14.0	1526	1.3481	0.8171
0.0	15.0	1635	1.3628	0.8415
0.0	16.0	1744	1.3643	0.8476
0.0	17.0	1853	1.3649	0.8476
0.0	18.0	1962	1.3659	0.8476
0.0	19.0	2071	1.3663	0.8476
0.0	20.0	2180	1.3667	0.8476