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thorirhrafn/
icellama_domar_pretuned

Name: icellama_domar_pretuned
Availability: InStock

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icellama_domar_pretuned

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
1.5305	0.05	500	1.5479
1.5099	0.1	1000	1.4774
1.4324	0.14	1500	1.4322
1.4049	0.19	2000	1.4003
1.3941	0.24	2500	1.3735
1.3871	0.29	3000	1.3540
1.3609	0.34	3500	1.3384
1.286	0.38	4000	1.3247
1.3271	0.43	4500	1.3127
1.3175	0.48	5000	1.3026
1.2955	0.53	5500	1.2946
1.3319	0.57	6000	1.2873
1.2634	0.62	6500	1.2795
1.3004	0.67	7000	1.2735
1.2709	0.72	7500	1.2681
1.2525	0.77	8000	1.2634
1.2898	0.81	8500	1.2592
1.2514	0.86	9000	1.2546
1.2799	0.91	9500	1.2515
1.2683	0.96	10000	1.2482
1.2609	1.01	10500	1.2449
1.1814	1.05	11000	1.2433
1.2106	1.1	11500	1.2416
1.2291	1.15	12000	1.2390
1.2198	1.2	12500	1.2375
1.2182	1.25	13000	1.2353
1.2383	1.29	13500	1.2340
1.1957	1.34	14000	1.2331
1.1914	1.39	14500	1.2307
1.1661	1.44	15000	1.2295
1.2167	1.48	15500	1.2281
1.195	1.53	16000	1.2267
1.1741	1.58	16500	1.2255
1.1529	1.63	17000	1.2240
1.1784	1.68	17500	1.2232
1.2015	1.72	18000	1.2224
1.1764	1.77	18500	1.2215
1.2282	1.82	19000	1.2209
1.2424	1.87	19500	1.2202
1.211	1.92	20000	1.2194
1.2144	1.96	20500	1.2189
1.1974	2.01	21000	1.2188
1.1919	2.06	21500	1.2187
1.1956	2.11	22000	1.2184
1.1753	2.16	22500	1.2182
1.2091	2.2	23000	1.2179
1.2008	2.25	23500	1.2176
1.1959	2.3	24000	1.2173
1.1883	2.35	24500	1.2170
1.2131	2.39	25000	1.2170
1.2099	2.44	25500	1.2169
1.1724	2.49	26000	1.2167
1.2074	2.54	26500	1.2165
1.2071	2.59	27000	1.2164
1.1682	2.63	27500	1.2163
1.1496	2.68	28000	1.2163
1.1768	2.73	28500	1.2163
1.1559	2.78	29000	1.2162
1.2019	2.83	29500	1.2162
1.1871	2.87	30000	1.2162
1.1923	2.92	30500	1.2162
1.2017	2.97	31000	1.2161