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sqrk/
torgo-whisper-lg-3-Nov29

Name: torgo-whisper-lg-3-Nov29
Availability: InStock

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torgo-whisper-lg-3-Nov29

This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
0.7411	0.3868	100	0.2427	18.4499
0.2015	0.7737	200	0.1579	13.2266
0.1213	1.1605	300	0.1563	11.0362
0.0746	1.5474	400	0.1201	9.8568
0.0809	1.9342	500	0.0970	7.3294
0.037	2.3211	600	0.0907	6.8239
0.035	2.7079	700	0.0964	7.2452
0.0347	3.0948	800	0.0881	7.3294
0.0352	3.4816	900	0.0869	7.7506
0.0215	3.8685	1000	0.0821	7.4136
0.0224	4.2553	1100	0.0744	6.4027
0.0263	4.6422	1200	0.0783	7.8349
0.0173	5.0290	1300	0.0837	7.8349
0.0166	5.4159	1400	0.0933	5.8130
0.017	5.8027	1500	0.1006	7.4136
0.0157	6.1896	1600	0.0916	6.1500
0.0083	6.5764	1700	0.0659	5.3917
0.0079	6.9632	1800	0.0956	6.9924
0.0115	7.3501	1900	0.0703	6.2342
0.0073	7.7369	2000	0.0696	5.8130
0.0104	8.1238	2100	0.0787	6.3184
0.0093	8.5106	2200	0.0824	6.4027
0.0097	8.8975	2300	0.1042	7.4979
0.0094	9.2843	2400	0.0808	6.1500
0.0026	9.6712	2500	0.0789	6.6554
0.0059	10.0580	2600	0.0966	7.2452
0.0044	10.4449	2700	0.0882	8.7616
0.0059	10.8317	2800	0.0806	7.4136
0.0067	11.2186	2900	0.0951	7.6664
0.0057	11.6054	3000	0.0837	5.8972
0.0086	11.9923	3100	0.0774	5.6445
0.0096	12.3791	3200	0.0888	5.7287
0.0063	12.7660	3300	0.0763	5.0548
0.0107	13.1528	3400	0.0727	4.6335
0.0043	13.5397	3500	0.0886	6.4869
0.004	13.9265	3600	0.0712	5.3075
0.0083	14.3133	3700	0.0601	4.2123
0.002	14.7002	3800	0.0674	5.3917
0.0039	15.0870	3900	0.0632	4.2965
0.0019	15.4739	4000	0.0642	4.3808
0.0026	15.8607	4100	0.0699	4.6335
0.0031	16.2476	4200	0.0608	4.2123
0.0031	16.6344	4300	0.0579	3.8753
0.001	17.0213	4400	0.0608	4.2123
0.002	17.4081	4500	0.0550	3.9596