Training Loss	Epoch	Step	Validation Loss	Wer	Avg Precision Exact	Avg Recall Exact	Avg F1 Exact	Avg Precision Letter Shift	Avg Recall Letter Shift	Avg F1 Letter Shift	Avg Precision Word Level	Avg Recall Word Level	Avg F1 Word Level	Avg Precision Word Shift	Avg Recall Word Shift	Avg F1 Word Shift	Precision Median Exact	Recall Median Exact	F1 Median Exact	Precision Max Exact	Recall Max Exact	F1 Max Exact	Precision Min Word Shift	Recall Min Word Shift	F1 Min Word Shift
No log	0.0001	1	10.1840	103.2210	0.0002	0.0000	0.0000	0.0022	0.0069	0.0014	0.0019	0.0169	0.0033	0.0094	0.0316	0.0107	0.0	0.0	0.0	0.0714	0.0069	0.0127	0.0	0.0	0.0
0.0146	1.1457	10000	0.1688	23.0557	0.8202	0.8417	0.8300	0.8524	0.8746	0.8625	0.8584	0.8783	0.8674	0.9348	0.9545	0.9436	0.9091	0.9167	0.9091	1.0	1.0	1.0	0.2308	0.375	0.2857
0.0105	2.2915	20000	0.1836	20.5764	0.8526	0.8616	0.8563	0.8800	0.8897	0.8840	0.8816	0.8917	0.8858	0.9510	0.9624	0.9559	0.9167	0.9231	0.9231	1.0	1.0	1.0	0.5556	0.625	0.5882
0.0051	3.4372	30000	0.1949	19.7288	0.8570	0.8663	0.8608	0.8812	0.8912	0.8854	0.8834	0.8928	0.8872	0.9540	0.9642	0.9583	0.9231	0.9286	0.9474	1.0	1.0	1.0	0.6429	0.6923	0.6667
0.0025	4.5830	40000	0.2128	19.5380	0.8631	0.8765	0.8690	0.8908	0.9051	0.8971	0.8951	0.9065	0.9000	0.9514	0.9654	0.9577	0.9231	0.9231	0.9231	1.0	1.0	1.0	0.6364	0.6923	0.6667
0.003	5.7287	50000	0.2182	20.0042	0.8632	0.8761	0.8689	0.8901	0.9039	0.8962	0.8935	0.9057	0.8988	0.9539	0.9671	0.9597	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.6154	0.6667	0.64
0.0027	6.8744	60000	0.2184	19.0083	0.8532	0.8641	0.8579	0.8810	0.8923	0.8859	0.8840	0.8941	0.8884	0.9564	0.9677	0.9613	0.9231	0.9231	0.9231	1.0	1.0	1.0	0.6667	0.6923	0.6923
0.0016	8.0202	70000	0.2156	18.9871	0.8527	0.8636	0.8574	0.8808	0.8923	0.8858	0.8825	0.8938	0.8874	0.9544	0.9653	0.9591	0.9167	0.9231	0.9231	1.0	1.0	1.0	0.6667	0.6667	0.6667
0.001	9.1659	80000	0.2248	18.9659	0.8610	0.8698	0.8647	0.8903	0.9000	0.8944	0.8933	0.9020	0.8969	0.9569	0.9673	0.9614	0.9231	0.9231	0.9231	1.0	1.0	1.0	0.4286	0.5	0.4615
0.001	10.3116	90000	0.2344	18.6692	0.8763	0.8880	0.8814	0.9011	0.9133	0.9063	0.9039	0.9152	0.9087	0.9558	0.9694	0.9618	0.9231	0.9286	0.9524	1.0	1.0	1.0	0.5833	0.6923	0.6667
0.0008	11.4574	100000	0.2362	18.8811	0.8607	0.8709	0.8650	0.8878	0.8983	0.8922	0.8905	0.8994	0.8942	0.9534	0.9654	0.9586	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.6429	0.6923	0.6923
0.0005	12.6031	110000	0.2331	18.3513	0.8603	0.8711	0.8648	0.8878	0.8992	0.8926	0.8897	0.9010	0.8945	0.9516	0.9631	0.9566	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.1667	0.2	0.1818
0.0002	13.7489	120000	0.2378	18.6692	0.8691	0.8790	0.8734	0.8960	0.9066	0.9006	0.8999	0.9102	0.9043	0.9583	0.9688	0.9628	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.5455	0.5455	0.5455
0.0005	14.8946	130000	0.2428	18.3090	0.8702	0.8790	0.8739	0.8960	0.9053	0.8999	0.8997	0.9072	0.9027	0.9563	0.9671	0.9609	0.9231	0.9231	0.9524	1.0	1.0	1.0	0.6923	0.6923	0.6923
0.0001	16.0403	140000	0.2476	18.0123	0.8701	0.8823	0.8754	0.8959	0.9085	0.9014	0.8993	0.9109	0.9043	0.9584	0.9715	0.9641	0.9231	0.9286	0.9524	1.0	1.0	1.0	0.6923	0.6923	0.6923
0.0	17.1861	150000	0.2520	18.4361	0.8639	0.8777	0.8700	0.8910	0.9054	0.8974	0.8941	0.9079	0.9002	0.9590	0.9723	0.9648	0.9231	0.9286	0.9524	1.0	1.0	1.0	0.6923	0.7778	0.7500
0.0	18.3318	160000	0.2503	18.1394	0.8682	0.8791	0.8729	0.8945	0.9061	0.8995	0.8980	0.9083	0.9024	0.9596	0.9715	0.9648	0.9286	0.9286	0.9524	1.0	1.0	1.0	0.6923	0.75	0.7200
0.0	19.4775	170000	0.2474	17.8004	0.8607	0.8714	0.8653	0.8866	0.8977	0.8913	0.8900	0.9006	0.8945	0.9601	0.9701	0.9643	0.9286	0.9286	0.9565	1.0	1.0	1.0	0.6364	0.6364	0.6364
0.0	20.6233	180000	0.2517	17.9275	0.8658	0.8766	0.8704	0.8928	0.9040	0.8976	0.8955	0.9057	0.8998	0.9604	0.9722	0.9655	0.9231	0.9286	0.9524	1.0	1.0	1.0	0.6364	0.6364	0.6364
0.0	21.7690	190000	0.2553	17.6520	0.8667	0.8780	0.8716	0.8924	0.9041	0.8974	0.8950	0.9060	0.8997	0.9597	0.9718	0.9649	0.9231	0.9286	0.9524	1.0	1.0	1.0	0.6364	0.6364	0.6364
0.0	22.9148	200000	0.2584	17.4613	0.8722	0.8838	0.8772	0.8981	0.9102	0.9033	0.9008	0.9121	0.9057	0.9601	0.9730	0.9657	0.9286	0.9333	0.9565	1.0	1.0	1.0	0.6364	0.6364	0.6364

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.20.0
Tokenizers 0.19.1

cantillation/Teamim-small_WeightDecay-0.05_Augmented_Old-Data_date-21-07-2024_14-34_WithNikud

he-cantillation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cantillation/
Teamim-small_WeightDecay-0.05_Augmented_Old-Data_date-21-07-2024_14-34_WithNikud