metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: hubert-base-timit-demo-google-colab-ft30ep_v5
    results: []

hubert-base-timit-demo-google-colab-ft30ep_v5

This model is a fine-tuned version of facebook/hubert-base-ls960 on the timit-asr dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
3.9596	0.87	500	3.1237	1.0
2.5388	1.73	1000	1.1689	0.9184
1.0448	2.6	1500	0.6106	0.5878
0.6793	3.46	2000	0.4912	0.5200
0.5234	4.33	2500	0.4529	0.4798
0.4368	5.19	3000	0.4239	0.4543
0.3839	6.06	3500	0.4326	0.4339
0.3315	6.92	4000	0.4265	0.4173
0.2878	7.79	4500	0.4304	0.4068
0.25	8.65	5000	0.4130	0.3940
0.242	9.52	5500	0.4310	0.3938
0.2182	10.38	6000	0.4204	0.3843
0.2063	11.25	6500	0.4449	0.3816
0.2099	12.11	7000	0.4016	0.3681
0.1795	12.98	7500	0.4027	0.3647
0.1604	13.84	8000	0.4294	0.3664
0.1683	14.71	8500	0.4412	0.3661
0.1452	15.57	9000	0.4484	0.3588
0.1491	16.44	9500	0.4508	0.3515
0.1388	17.3	10000	0.4240	0.3518
0.1399	18.17	10500	0.4605	0.3513
0.1265	19.03	11000	0.4412	0.3485
0.1137	19.9	11500	0.4520	0.3467
0.106	20.76	12000	0.4873	0.3426
0.1243	21.63	12500	0.4456	0.3396
0.1055	22.49	13000	0.4819	0.3406
0.1124	23.36	13500	0.4613	0.3391
0.1064	24.22	14000	0.4842	0.3430
0.0875	25.09	14500	0.4661	0.3348
0.086	25.95	15000	0.4724	0.3371
0.0842	26.82	15500	0.4982	0.3381
0.0834	27.68	16000	0.4856	0.3337
0.0918	28.55	16500	0.4783	0.3344
0.0773	29.41	17000	0.4763	0.3322