wav2vec2-large-robust-ft-timit

This model is a fine-tuned version of facebook/wav2vec2-large-robust on the None 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
6.6175	1.0	500	3.3025	1.0
3.0746	2.01	1000	2.9598	1.0
1.967	3.01	1500	0.6760	0.5607
0.7545	4.02	2000	0.4500	0.4567
0.5415	5.02	2500	0.3702	0.3882
0.4445	6.02	3000	0.3421	0.3584
0.3601	7.03	3500	0.2947	0.3096
0.3098	8.03	4000	0.2740	0.2894
0.2606	9.04	4500	0.2725	0.2787
0.238	10.04	5000	0.2549	0.2617
0.2142	11.04	5500	0.2485	0.2530
0.1787	12.05	6000	0.2683	0.2514
0.1652	13.05	6500	0.2559	0.2476
0.1569	14.06	7000	0.2777	0.2470
0.1443	15.06	7500	0.2661	0.2431
0.1335	16.06	8000	0.2717	0.2422
0.1291	17.07	8500	0.2672	0.2428
0.1192	18.07	9000	0.2684	0.2395
0.1144	19.08	9500	0.2770	0.2411
0.1052	20.08	10000	0.2831	0.2379
0.1004	21.08	10500	0.2847	0.2375
0.1053	22.09	11000	0.2851	0.2360
0.1005	23.09	11500	0.2807	0.2361
0.0904	24.1	12000	0.2764	0.2346
0.0876	25.1	12500	0.2774	0.2325
0.0883	26.1	13000	0.2768	0.2313
0.0848	27.11	13500	0.2840	0.2307
0.0822	28.11	14000	0.2812	0.2316
0.09	29.12	14500	0.2768	0.2321