distilhubert-timit

This model is a fine-tuned version of ntu-spml/distilhubert on the TIMIT_ASR - NA 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
5.4447	0.69	100	4.9546	1.0
2.9499	1.38	200	2.9519	1.0
2.8989	2.07	300	2.8624	1.0
2.2076	2.76	400	2.1089	1.0008
1.4186	3.45	500	1.4112	0.9165
0.9951	4.14	600	1.1378	0.7701
0.9754	4.83	700	1.0152	0.7274
0.9364	5.52	800	0.9619	0.7011
0.6557	6.21	900	0.9144	0.6868
0.5681	6.9	1000	0.8899	0.6683
0.66	7.59	1100	0.8992	0.6654
0.6144	8.28	1200	0.9299	0.6898
0.4099	8.97	1300	0.9510	0.6674
0.3384	9.66	1400	0.9598	0.6612
0.3163	10.34	1500	0.9954	0.6612
0.4204	11.03	1600	1.0164	0.6607
0.1932	11.72	1700	1.0637	0.6658
0.1449	12.41	1800	1.1190	0.6652
0.1803	13.1	1900	1.1260	0.6689
0.328	13.79	2000	1.2186	0.6751
0.0838	14.48	2100	1.2591	0.6909
0.0766	15.17	2200	1.2529	0.6780
0.0956	15.86	2300	1.2537	0.6668
0.2339	16.55	2400	1.3210	0.6797
0.0431	17.24	2500	1.3241	0.6781
0.0508	17.93	2600	1.3184	0.6683
0.0616	18.62	2700	1.3728	0.6889
0.1608	19.31	2800	1.3572	0.6771
0.0378	20.0	2900	1.3601	0.6776