Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
0.7213	0.42	100	0.8689	0.5824
0.8363	0.84	200	0.9158	0.6085
0.8347	1.27	300	0.9091	0.5362
0.874	1.69	400	0.8487	0.5307
0.7452	2.11	500	0.8507	0.5472
0.791	2.53	600	0.8075	0.5410
0.7681	2.95	700	0.8389	0.5575
0.7645	3.38	800	0.8122	0.5610
0.739	3.8	900	0.8625	0.5569
0.7989	4.22	1000	0.8166	0.5624
0.7618	4.64	1100	0.8646	0.5796
0.7689	5.06	1200	0.8462	0.5445
0.738	5.49	1300	0.8014	0.5431
0.6966	5.91	1400	0.7993	0.5217
0.7275	6.33	1500	0.8049	0.5252
0.7304	6.75	1600	0.7870	0.5231
0.7225	7.17	1700	0.8037	0.5472
0.7148	7.59	1800	0.7913	0.5389
0.7225	8.02	1900	0.7908	0.5183
0.7123	8.44	2000	0.7894	0.5245
0.692	8.86	2100	0.7693	0.5224
0.7855	9.28	2200	0.7614	0.5252
0.6421	9.7	2300	0.7870	0.5169
0.6831	10.13	2400	0.7820	0.5121
0.7293	10.55	2500	0.7640	0.5245
0.6625	10.97	2600	0.7912	0.5575
0.6612	11.39	2700	0.7578	0.5203
0.6873	11.81	2800	0.7579	0.5231
0.7113	12.24	2900	0.7595	0.5258
0.7393	12.66	3000	0.7532	0.5148
0.7297	13.08	3100	0.7532	0.5183
0.6303	13.5	3200	0.7514	0.5162
0.6444	13.92	3300	0.7540	0.5148