hindi_beekeeping_wav2vec2

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
26.5108	0.11	25	2.9146	1.1520
3.8351	0.22	50	2.1736	0.6667
2.1489	0.33	75	1.5539	0.5914
3.2097	0.44	100	1.9828	0.6840
1.5213	0.54	125	1.4369	0.5410
2.1797	0.65	150	1.7904	0.7449
1.2368	0.76	175	1.3543	0.5583
1.5755	0.87	200	1.5444	0.6712
1.1638	0.98	225	1.4639	0.6005
0.8985	1.09	250	1.0658	0.5139
0.9406	1.2	275	1.3181	0.5756
1.1215	1.31	300	1.0163	0.4680
1.3881	1.42	325	1.1547	0.5854
0.8113	1.53	350	0.9433	0.4771
0.689	1.63	375	1.0819	0.5064
0.726	1.74	400	1.0025	0.5252
0.6475	1.85	425	1.0670	0.5154
1.0345	1.96	450	0.9535	0.5019
0.8327	2.07	475	0.8866	0.4733
0.4843	2.18	500	0.9580	0.5087
0.6657	2.29	525	0.9019	0.4710
0.4843	2.4	550	0.8207	0.4665
0.6666	2.51	575	0.7377	0.4695
0.5012	2.61	600	0.8135	0.4537
0.7776	2.72	625	0.8131	0.4612
0.4538	2.83	650	0.8194	0.4590
0.5659	2.94	675	0.8480	0.4582
0.9362	3.05	700	0.8532	0.4485
0.3629	3.16	725	0.8447	0.4582
0.5201	3.27	750	0.7486	0.4409
0.3513	3.38	775	0.7865	0.4439
0.4152	3.49	800	0.7510	0.4364
0.8962	3.59	825	0.7758	0.4342
0.4558	3.7	850	0.7314	0.4296
0.3476	3.81	875	0.6861	0.4153
0.3978	3.92	900	0.6961	0.4153
0.3818	4.03	925	0.6960	0.4071
0.2847	4.14	950	0.7222	0.4048
0.3997	4.25	975	0.6960	0.4191
0.2695	4.36	1000	0.6894	0.4138
0.4229	4.47	1025	0.7215	0.4304
0.2665	4.58	1050	0.7096	0.4056
0.3158	4.68	1075	0.6904	0.4153
0.2452	4.79	1100	0.6777	0.4071
0.3034	4.9	1125	0.6793	0.4048