aminul-huq / Speech-Command-Classification

Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.
https://medium.com/@aminul.huq11/speech-command-classification-using-pytorch-and-torchaudio-c844153fce3b
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resolving issue 1. #2

Open meetgandhi123 opened 1 year ago

meetgandhi123 commented 1 year ago

Accuracy Log:

Training.. 100%|██████████| 764/764 [00:51<00:00, 14.93it/s] Epoch: [1] loss: [3.87] Accuracy [3.54] validation 100%|██████████| 191/191 [00:10<00:00, 17.91it/s]

Validation Epoch #1 Loss: 3.5358 Acc@1: 3.88% not multiple GPU Training.. 100%|██████████| 764/764 [00:44<00:00, 17.22it/s] Epoch: [2] loss: [3.44] Accuracy [5.71] validation 100%|██████████| 191/191 [00:10<00:00, 17.91it/s]

Validation Epoch #2 Loss: 3.2284 Acc@1: 12.80% not multiple GPU Training.. 100%|██████████| 764/764 [00:46<00:00, 16.52it/s] Epoch: [3] loss: [3.00] Accuracy [15.25] validation 100%|██████████| 191/191 [00:10<00:00, 18.29it/s]

Validation Epoch #3 Loss: 2.5087 Acc@1: 31.82% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.38it/s] Epoch: [4] loss: [2.53] Accuracy [27.02] validation 100%|██████████| 191/191 [00:10<00:00, 18.28it/s]

Validation Epoch #4 Loss: 2.1419 Acc@1: 41.58% not multiple GPU Training.. 100%|██████████| 764/764 [00:44<00:00, 17.33it/s] Epoch: [5] loss: [2.28] Accuracy [33.69] validation 100%|██████████| 191/191 [00:10<00:00, 18.15it/s]

Validation Epoch #5 Loss: 1.9066 Acc@1: 49.58% not multiple GPU Training.. 100%|██████████| 764/764 [00:44<00:00, 17.17it/s] Epoch: [6] loss: [2.12] Accuracy [37.79] validation 100%|██████████| 191/191 [00:10<00:00, 18.23it/s]

Validation Epoch #6 Loss: 1.8047 Acc@1: 53.36% not multiple GPU Training.. 100%|██████████| 764/764 [00:44<00:00, 17.34it/s] Epoch: [7] loss: [2.01] Accuracy [41.31] validation 100%|██████████| 191/191 [00:10<00:00, 18.29it/s]

Validation Epoch #7 Loss: 1.6746 Acc@1: 58.38% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.38it/s] Epoch: [8] loss: [1.93] Accuracy [43.50] validation 100%|██████████| 191/191 [00:10<00:00, 18.68it/s]

Validation Epoch #8 Loss: 1.5723 Acc@1: 59.34% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.53it/s] Epoch: [9] loss: [1.86] Accuracy [45.27] validation 100%|██████████| 191/191 [00:10<00:00, 18.83it/s]

Validation Epoch #9 Loss: 1.5445 Acc@1: 60.33% not multiple GPU Training.. 100%|██████████| 764/764 [00:45<00:00, 16.77it/s] Epoch: [10] loss: [1.80] Accuracy [46.72] validation 100%|██████████| 191/191 [00:10<00:00, 18.50it/s]

Validation Epoch #10 Loss: 1.4211 Acc@1: 63.52% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.74it/s] Epoch: [11] loss: [1.76] Accuracy [47.95] validation 100%|██████████| 191/191 [00:09<00:00, 19.16it/s]

Validation Epoch #11 Loss: 1.3622 Acc@1: 64.59% not multiple GPU Training.. 100%|██████████| 764/764 [00:42<00:00, 18.07it/s] Epoch: [12] loss: [1.73] Accuracy [49.06] validation 100%|██████████| 191/191 [00:09<00:00, 19.43it/s]

Validation Epoch #12 Loss: 1.3490 Acc@1: 65.17% not multiple GPU Training.. 100%|██████████| 764/764 [00:41<00:00, 18.45it/s] Epoch: [13] loss: [1.70] Accuracy [49.83] validation 100%|██████████| 191/191 [00:09<00:00, 19.57it/s]

Validation Epoch #13 Loss: 1.3303 Acc@1: 65.65% not multiple GPU Training.. 100%|██████████| 764/764 [00:42<00:00, 18.08it/s] Epoch: [14] loss: [1.66] Accuracy [50.72] validation 100%|██████████| 191/191 [00:10<00:00, 18.92it/s]

Validation Epoch #14 Loss: 1.2738 Acc@1: 67.01% not multiple GPU Training.. 100%|██████████| 764/764 [00:42<00:00, 17.95it/s] Epoch: [15] loss: [1.64] Accuracy [51.39] validation 100%|██████████| 191/191 [00:10<00:00, 18.21it/s]

Validation Epoch #15 Loss: 1.2602 Acc@1: 67.33% not multiple GPU Training.. 100%|██████████| 764/764 [00:45<00:00, 16.92it/s] Epoch: [16] loss: [1.62] Accuracy [52.10] validation 100%|██████████| 191/191 [00:10<00:00, 17.68it/s]

Validation Epoch #16 Loss: 1.2276 Acc@1: 67.84% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.48it/s] Epoch: [17] loss: [1.61] Accuracy [52.55] validation 100%|██████████| 191/191 [00:10<00:00, 18.40it/s]

Validation Epoch #17 Loss: 1.2313 Acc@1: 67.77% Training.. 100%|██████████| 764/764 [00:43<00:00, 17.48it/s] Epoch: [18] loss: [1.59] Accuracy [52.88] validation 100%|██████████| 191/191 [00:14<00:00, 12.82it/s]

Validation Epoch #18 Loss: 1.2021 Acc@1: 68.68% not multiple GPU Training.. 100%|██████████| 764/764 [00:43<00:00, 17.43it/s] Epoch: [19] loss: [1.57] Accuracy [53.10] validation 100%|██████████| 191/191 [00:11<00:00, 16.85it/s]

Validation Epoch #19 Loss: 1.1932 Acc@1: 69.00% not multiple GPU Training.. 100%|██████████| 764/764 [00:44<00:00, 17.02it/s] Epoch: [20] loss: [1.57] Accuracy [53.42] validation 100%|██████████| 191/191 [00:10<00:00, 18.71it/s] Validation Epoch #20 Loss: 1.1963 Acc@1: 68.96%