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TeeA/
llama2-7b-journal-finetune

Name: llama2-7b-journal-finetune
Rating: 2.5 (11 reviews)

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llama2-7b-journal-finetune

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
No log	0.01	50	0.5191
No log	0.03	100	0.4746
No log	0.04	150	0.4858
No log	0.06	200	0.5082
No log	0.07	250	0.4972
No log	0.09	300	0.5109
No log	0.1	350	0.5296
No log	0.12	400	0.5666
No log	0.13	450	0.5548
0.2374	0.15	500	0.5662
0.2374	0.16	550	0.5943
0.2374	0.18	600	0.5817
0.2374	0.19	650	0.6102
0.2374	0.2	700	0.5825
0.2374	0.22	750	0.5742
0.2374	0.23	800	0.6160
0.2374	0.25	850	0.6234
0.2374	0.26	900	0.6419
0.2374	0.28	950	0.6401
0.0698	0.29	1000	0.6395
0.0698	0.31	1050	0.6549
0.0698	0.32	1100	0.6706
0.0698	0.34	1150	0.6914
0.0698	0.35	1200	0.7024
0.0698	0.37	1250	0.7284
0.0698	0.38	1300	0.7114
0.0698	0.4	1350	0.7215
0.0698	0.41	1400	0.7304
0.0698	0.42	1450	0.7315
0.0479	0.44	1500	0.7325