Training Loss	Epoch	Step	Validation Loss	Cer
4.1174	0.66	50	5.1872	0.9986
4.0452	1.32	100	5.1870	0.9986
4.0499	1.97	150	5.2289	0.9986
4.0371	2.63	200	5.1608	0.9986
3.9664	3.29	250	5.1345	0.9977
3.991	3.95	300	5.1517	0.9968
3.9413	4.61	350	5.0673	0.9927
3.9433	5.26	400	5.0650	0.9823
3.8934	5.92	450	5.0518	0.9800
3.8646	6.58	500	5.0400	0.9823
3.8491	7.24	550	5.1012	0.9764
3.8725	7.89	600	5.0649	0.9855
3.7272	8.55	650	5.1139	0.9791
3.8121	9.21	700	5.0366	0.9409
3.7743	9.87	750	5.0990	0.9673
3.7207	10.53	800	5.0603	0.9278
3.7116	11.18	850	5.0920	0.9119
3.7163	11.84	900	5.0840	0.8996
3.657	12.5	950	5.0855	0.8928
3.6476	13.16	1000	5.0409	0.8851
3.645	13.82	1050	5.0704	0.9028
3.5882	14.47	1100	5.0391	0.8610
3.5773	15.13	1150	5.0805	0.8628
3.5681	15.79	1200	5.1300	0.8769
3.5611	16.45	1250	5.0740	0.8760
3.5221	17.11	1300	5.0698	0.8669
3.493	17.76	1350	5.0618	0.8455
3.5117	18.42	1400	5.0372	0.8433
3.4777	19.08	1450	5.0964	0.8642
3.4632	19.74	1500	5.0928	0.8623
3.4496	20.39	1550	5.1118	0.8710
3.4674	21.05	1600	5.0703	0.8392
3.431	21.71	1650	5.0514	0.8373
3.4115	22.37	1700	5.0611	0.8355
3.3808	23.03	1750	5.1055	0.8537
3.4101	23.68	1800	5.0532	0.8296
3.3852	24.34	1850	5.0646	0.8310
3.3533	25.0	1900	5.0684	0.8387
3.3591	25.66	1950	5.0581	0.8364
3.3437	26.32	2000	5.0565	0.8314
3.369	26.97	2050	5.0577	0.8364
3.3606	27.63	2100	5.0515	0.8237
3.3163	28.29	2150	5.0533	0.8278
3.3149	28.95	2200	5.0682	0.8292
3.3535	29.61	2250	5.0554	0.8274
3.2695	30.26	2300	5.0610	0.8242
3.2947	30.92	2350	5.0658	0.8255
3.3323	31.58	2400	5.0644	0.8255
3.2913	32.24	2450	5.0644	0.8255
3.3169	32.89	2500	5.0644	0.8255
3.3147	33.55	2550	5.0644	0.8255
3.3059	34.21	2600	5.0644	0.8255
3.3311	34.87	2650	5.0644	0.8255
3.286	35.53	2700	5.0644	0.8255
3.3842	36.18	2750	5.0644	0.8255
3.303	36.84	2800	5.0644	0.8255
3.2833	37.5	2850	5.0644	0.8255
3.3036	38.16	2900	5.0644	0.8255
3.3149	38.82	2950	5.0644	0.8255
3.2784	39.47	3000	5.0644	0.8255

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

syp1229/wav2vec2-large-xls-r-300m-korean-d

wav2vec2-large-xls-r-300m-korean-d

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

syp1229/
wav2vec2-large-xls-r-300m-korean-d