Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6926	0.6	34	0.6938	0.5	0.5026	0.5070	0.5
0.6935	1.19	68	0.7315	0.4167	0.2451	0.1736	0.4167
0.6962	1.79	102	0.6896	0.5833	0.4298	0.3403	0.5833
0.6942	2.39	136	0.6824	0.6042	0.5462	0.5938	0.6042
0.7005	2.98	170	0.7126	0.4167	0.2451	0.1736	0.4167
0.6986	3.58	204	0.6731	0.6667	0.5926	0.7879	0.6667
0.7002	4.18	238	0.7133	0.4167	0.2451	0.1736	0.4167
0.6957	4.77	272	0.6988	0.4167	0.2451	0.1736	0.4167
0.6959	5.37	306	0.7299	0.4167	0.2451	0.1736	0.4167
0.6877	5.96	340	0.6941	0.4167	0.2451	0.1736	0.4167
0.6784	6.56	374	0.6627	0.6458	0.5562	0.7796	0.6458
0.6788	7.16	408	0.7047	0.4792	0.4549	0.5375	0.4792
0.6854	7.75	442	0.6359	0.7083	0.7057	0.7056	0.7083
0.6489	8.35	476	0.6012	0.7292	0.7155	0.7372	0.7292
0.6163	8.95	510	0.6268	0.6667	0.5926	0.7879	0.6667
0.6186	9.54	544	0.6425	0.7083	0.6716	0.7583	0.7083
0.4781	10.14	578	0.8834	0.625	0.5172	0.7717	0.625
0.5017	10.74	612	0.7711	0.7292	0.7000	0.7742	0.7292
0.4508	11.33	646	0.8075	0.6667	0.6534	0.6625	0.6667
0.3349	11.93	680	0.8684	0.6042	0.5842	0.5910	0.6042
0.275	12.53	714	0.6606	0.7708	0.7534	0.8045	0.7708
0.2605	13.12	748	1.2964	0.5417	0.5441	0.5484	0.5417
0.2069	13.72	782	1.0295	0.6875	0.6780	0.6843	0.6875
0.1014	14.32	816	1.2621	0.6875	0.6780	0.6843	0.6875
0.1577	14.91	850	1.5009	0.6042	0.6068	0.6141	0.6042
0.1103	15.51	884	1.2705	0.7083	0.6967	0.7094	0.7083
0.1425	16.11	918	1.1229	0.625	0.625	0.625	0.625
0.0763	16.7	952	1.3888	0.625	0.6270	0.6486	0.625
0.1113	17.3	986	1.4247	0.625	0.6216	0.6204	0.625
0.0724	17.89	1020	1.4374	0.6458	0.6444	0.6435	0.6458
0.0696	18.49	1054	1.7577	0.6458	0.6469	0.6486	0.6458
0.0742	19.09	1088	1.8101	0.5833	0.5855	0.5897	0.5833
0.047	19.68	1122	1.6811	0.6458	0.6405	0.6403	0.6458
0.0456	20.28	1156	2.0301	0.5625	0.5654	0.5726	0.5625
0.0644	20.88	1190	1.7647	0.625	0.6216	0.6204	0.625
0.0226	21.47	1224	1.9238	0.6042	0.6054	0.6071	0.6042

Framework versions

Transformers 4.37.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.15.2

SucharithaS/wav2vec2-large-xls-r-300m-dm32-preaugmented-v1

wav2vec2-large-xls-r-300m-dm32-preaugmented-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SucharithaS/
wav2vec2-large-xls-r-300m-dm32-preaugmented-v1