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Yoshimitsujhi/
llama-fintech-13

Name: llama-fintech-13
Availability: InStock

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llama-fintech-13

This model is a fine-tuned version of decapoda-research/llama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

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The following bitsandbytes quantization config was used during training:

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
2.4519	0.15	50	2.4590
2.2828	0.3	100	2.1885
1.9233	0.45	150	1.5158
1.6426	0.6	200	1.2491
1.6084	0.76	250	1.1512
1.5972	0.91	300	1.1561
1.5723	1.06	350	1.1782
1.5798	1.21	400	1.1833
1.566	1.36	450	1.1831
1.5625	1.51	500	1.1870
1.5514	1.66	550	1.1839
1.5381	1.81	600	1.1758
1.5518	1.96	650	1.1780
1.5321	2.12	700	1.1735
1.5406	2.27	750	1.1768
1.5275	2.42	800	1.1784
1.543	2.57	850	1.1788
1.5292	2.72	900	1.1851
1.5471	2.87	950	1.1820
1.509	3.02	1000	1.1858
1.5281	3.17	1050	1.1778
1.5146	3.33	1100	1.1835
1.5086	3.48	1150	1.1843
1.5379	3.63	1200	1.1854
1.5295	3.78	1250	1.1835
1.5185	3.93	1300	1.1871
1.5261	4.08	1350	1.1863
1.5215	4.23	1400	1.1873
1.5209	4.38	1450	1.1900
1.518	4.53	1500	1.1891
1.5287	4.69	1550	1.1887
1.5141	4.84	1600	1.1875
1.5263	4.99	1650	1.1889