Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0942	0.0	25	0.9862	0.0001
0.8794	0.0	50	0.8269	0.0001
0.8241	0.0	75	0.7812	0.0001
0.8085	0.0	100	0.7559	0.0001
0.78	0.0	125	0.7417	0.0001
0.7656	0.0	150	0.7316	0.0000
0.759	0.0	175	0.7247	0.0000
0.7558	0.0	200	0.7191	0.0000
0.7434	0.0	225	0.7143	0.0000
0.7419	0.0	250	0.7114	0.0000
0.7383	0.0	275	0.7086	0.0000
0.7395	0.0	300	0.7051	0.0000
0.7324	0.0	325	0.7031	0.0000
0.721	0.0	350	0.7008	0.0000
0.7279	0.0	375	0.6982	0.0000
0.7303	0.01	400	0.6959	0.0000
0.7185	0.01	425	0.6932	0.0000
0.7221	0.01	450	0.6914	0.0000
0.6984	0.01	475	0.6887	0.0000
0.7162	0.01	500	0.6875	0.0000
0.712	0.01	525	0.6859	0.0000
0.7057	0.01	550	0.6848	0.0000
0.7058	0.01	575	0.6831	0.0000
0.705	0.01	600	0.6820	0.0000
0.6941	0.01	625	0.6810	0.0000
0.6973	0.01	650	0.6798	0.0000
0.7044	0.01	675	0.6784	0.0000
0.6943	0.01	700	0.6775	0.0000
0.6993	0.01	725	0.6766	0.0000
0.698	0.01	750	0.6755	0.0000
0.7054	0.01	775	0.6745	0.0000
0.693	0.01	800	0.6743	0.0000
0.6957	0.01	825	0.6732	0.0000
0.7015	0.01	850	0.6725	0.0000
0.6878	0.01	875	0.6719	0.0000
0.6965	0.01	900	0.6715	0.0000
0.6887	0.01	925	0.6712	0.0000
0.6945	0.01	950	0.6704	0.0000
0.6885	0.01	975	0.6695	0.0000
0.6872	0.01	1000	0.6692	0.0000
0.6908	0.01	1025	0.6688	0.0000
0.6912	0.01	1050	0.6684	0.0000
0.6729	0.01	1075	0.6676	0.0000
0.6852	0.01	1100	0.6674	0.0000
0.6869	0.01	1125	0.6669	0.0000
0.6875	0.01	1150	0.6663	0.0000
0.6884	0.02	1175	0.6659	0.0000
0.6905	0.02	1200	0.6658	0.0000
0.6817	0.02	1225	0.6653	0.0000
0.6875	0.02	1250	0.6649	0.0000
0.6897	0.02	1275	0.6644	0.0000
0.6727	0.02	1300	0.6642	0.0000
0.6859	0.02	1325	0.6640	0.0000
0.6836	0.02	1350	0.6637	0.0000
0.6788	0.02	1375	0.6636	0.0000
0.6866	0.02	1400	0.6634	0.0000
0.6847	0.02	1425	0.6632	0.0000
0.6804	0.02	1450	0.6630	0.0000
0.6861	0.02	1475	0.6628	0.0000
0.6803	0.02	1500	0.6625	0.0000
0.6829	0.02	1525	0.6622	0.0000
0.6825	0.02	1550	0.6621	0.0000
0.6892	0.02	1575	0.6620	0.0000
0.6801	0.02	1600	0.6619	0.0000
0.6811	0.02	1625	0.6616	0.0000
0.6764	0.02	1650	0.6616	0.0000
0.6698	0.02	1675	0.6613	0.0000
0.6879	0.02	1700	0.6613	0.0000
0.6704	0.02	1725	0.6612	0.0000
0.6888	0.02	1750	0.6611	0.0000
0.6735	0.02	1775	0.6611	0.0000
0.6859	0.02	1800	0.6609	0.0000
0.6827	0.02	1825	0.6610	0.0000
0.6826	0.02	1850	0.6608	0.0000
0.6779	0.02	1875	0.6608	0.0000
0.6749	0.02	1900	0.6607	0.0000
0.6791	0.02	1925	0.6607	0.0000
0.6801	0.03	1950	0.6607	0.0000
0.6921	0.03	1975	0.6606	0.0000
0.6792	0.03	2000	0.6606	0.0000

Framework versions

Transformers 4.37.0
Pytorch 2.0.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1

ke-lly/47015772_3

47015772_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ke-lly/
47015772_3