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 Exact	Recall Min Exact	F1 Min Exact	Precision Min Letter Shift	Recall Min Letter Shift	F1 Min Letter Shift	Precision Min Word Level	Recall Min Word Level	F1 Min Word Level	Precision Min Word Shift	Recall Min Word Shift	F1 Min Word Shift
No log	8e-05	1	5.7968	117.0732	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
0.1322	0.08	1000	0.1679	24.1907	0.8065	0.8169	0.8107	0.8367	0.8476	0.8410	0.8414	0.8525	0.8458	0.9193	0.9337	0.9252	0.8889	0.9	0.8889	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0895	0.16	2000	0.1293	17.7679	0.8618	0.8637	0.8621	0.8863	0.8883	0.8867	0.8902	0.8927	0.8908	0.9500	0.9551	0.9518	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1111	0.1111	0.125
0.0448	0.24	3000	0.1182	15.4065	0.8816	0.8881	0.8843	0.9059	0.9128	0.9088	0.9087	0.9156	0.9116	0.9607	0.9675	0.9635	0.9310	0.9375	0.9524	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1429	0.125	0.1333
0.0341	0.32	4000	0.1153	14.7894	0.8871	0.8897	0.8879	0.9110	0.9137	0.9118	0.9137	0.9170	0.9148	0.9646	0.9692	0.9663	0.9375	0.9444	0.9565	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1429	0.1111	0.125
0.022	0.4	5000	0.1076	13.5772	0.8993	0.8954	0.8969	0.9224	0.9185	0.9199	0.9251	0.9216	0.9229	0.9710	0.9696	0.9698	1.0	1.0	0.9630	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1429	0.0833	0.1053
0.0172	0.48	6000	0.1037	12.3245	0.9086	0.9078	0.9078	0.9283	0.9277	0.9276	0.9306	0.9302	0.9300	0.9727	0.9740	0.9729	1.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0769	0.0769	0.0769
0.0094	0.56	7000	0.1045	12.0806	0.9059	0.9058	0.9054	0.9257	0.9257	0.9253	0.9279	0.9280	0.9275	0.9733	0.9747	0.9735	1.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1429	0.1	0.1176
0.014	0.64	8000	0.1029	11.7332	0.9091	0.9078	0.9081	0.9280	0.9269	0.9271	0.9303	0.9294	0.9295	0.9756	0.9759	0.9754	1.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1429	0.1	0.1176

Framework versions

Transformers 4.42.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.19.1

cantillation/Teamim-large-v2_Random-True_date-06-06-2024_21-59-43

he-cantillation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cantillation/
Teamim-large-v2_Random-True_date-06-06-2024_21-59-43