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thorirhrafn/
llama2_lora_ice4

Name: llama2_lora_ice4
Availability: InStock

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llama2_lora_ice4

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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
2.1501	0.19	5000	2.1064
2.0868	0.38	10000	1.9864
1.9857	0.57	15000	1.9325
1.897	0.75	20000	1.8989
1.9629	0.94	25000	1.8773
1.8638	1.13	30000	1.8629
1.891	1.32	35000	1.8523
1.8903	1.51	40000	1.8422
1.8059	1.7	45000	1.8354
1.8479	1.88	50000	1.8291
1.8491	2.07	55000	1.8261
1.8497	2.26	60000	1.8228
1.8306	2.45	65000	1.8194
1.8482	2.64	70000	1.8162
1.8247	2.83	75000	1.8139
1.8428	3.02	80000	1.8122
1.8078	3.2	85000	1.8108
1.8398	3.39	90000	1.8090
1.7911	3.58	95000	1.8080
1.8222	3.77	100000	1.8067
1.8152	3.96	105000	1.8054
1.8237	4.15	110000	1.8053
1.7876	4.33	115000	1.8048
1.799	4.52	120000	1.8042
1.8215	4.71	125000	1.8037
1.8099	4.9	130000	1.8031
1.812	5.09	135000	1.8031
1.8308	5.28	140000	1.8028
1.8139	5.47	145000	1.8025
1.8233	5.65	150000	1.8025
1.8346	5.84	155000	1.8022
1.8173	6.03	160000	1.8020
1.8475	6.22	165000	1.8021
1.7865	6.41	170000	1.8019
1.7849	6.6	175000	1.8019
1.8436	6.78	180000	1.8019
1.7984	6.97	185000	1.8019
1.803	7.16	190000	1.8019
1.8692	7.35	195000	1.8018
1.7558	7.54	200000	1.8018