generated_from_trainer

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data-augmentation-whitenoise-timit-1155

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Wer
3.5204 0.8 500 1.6948 0.9531
0.8435 1.6 1000 0.5367 0.5113
0.4449 2.4 1500 0.4612 0.4528
0.3182 3.21 2000 0.4314 0.4156
0.2328 4.01 2500 0.4250 0.4031
0.1897 4.81 3000 0.4630 0.4023
0.1628 5.61 3500 0.4445 0.3922
0.1472 6.41 4000 0.4452 0.3793
0.1293 7.21 4500 0.4715 0.3847
0.1176 8.01 5000 0.4267 0.3757
0.1023 8.81 5500 0.4494 0.3821
0.092 9.62 6000 0.4501 0.3704
0.0926 10.42 6500 0.4722 0.3643
0.0784 11.22 7000 0.5033 0.3765
0.077 12.02 7500 0.5165 0.3684
0.0704 12.82 8000 0.5138 0.3646
0.0599 13.62 8500 0.5664 0.3674
0.0582 14.42 9000 0.5188 0.3575
0.0526 15.22 9500 0.5605 0.3621
0.0512 16.03 10000 0.5400 0.3585
0.0468 16.83 10500 0.5471 0.3603
0.0445 17.63 11000 0.5168 0.3555
0.0411 18.43 11500 0.5772 0.3542
0.0394 19.23 12000 0.5079 0.3567
0.0354 20.03 12500 0.5427 0.3613
0.0325 20.83 13000 0.5532 0.3572
0.0318 21.63 13500 0.5223 0.3514
0.0269 22.44 14000 0.6002 0.3460
0.028 23.24 14500 0.5591 0.3432
0.0254 24.04 15000 0.5837 0.3432
0.0235 24.84 15500 0.5571 0.3397
0.0223 25.64 16000 0.5470 0.3383
0.0193 26.44 16500 0.5611 0.3367
0.0227 27.24 17000 0.5405 0.3342
0.0183 28.04 17500 0.5205 0.3330
0.017 28.85 18000 0.5512 0.3330
0.0167 29.65 18500 0.5458 0.3324

Framework versions