generated_from_trainer

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torgo-TestedSpeakerM01-finetuned-On-torgoSentenceModel

This model is a fine-tuned version of alexziweiwang/torgo-sentences-TestedSpeakerM01 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
15.6854 0.84 500 0.4620 1.0596
0.3374 1.69 1000 0.2646 1.0921
0.3121 2.53 1500 0.2602 1.0704
0.2683 3.37 2000 0.2417 1.0997
0.2478 4.22 2500 0.2438 1.0217
0.2368 5.06 3000 0.2600 0.9729
0.2236 5.9 3500 0.2400 0.9112
0.2183 6.75 4000 0.3123 0.9805
0.1989 7.59 4500 0.2716 0.9231
0.1852 8.43 5000 0.2539 0.8732
0.1778 9.27 5500 0.2673 0.8516
0.1769 10.12 6000 0.2951 0.8819
0.1798 10.96 6500 0.3194 0.9122
0.1525 11.8 7000 0.2320 0.8830
0.1497 12.65 7500 0.2814 0.8007
0.1401 13.49 8000 0.2693 0.8039
0.1227 14.33 8500 0.2681 0.7887
0.1259 15.18 9000 0.2592 0.7584
0.1278 16.02 9500 0.2795 0.7920
0.1124 16.86 10000 0.3190 0.7714
0.1116 17.71 10500 0.3306 0.7909
0.1024 18.55 11000 0.2935 0.7519
0.1417 19.39 11500 0.3441 0.7638
0.0924 20.24 12000 0.3136 0.7454
0.0916 21.08 12500 0.3144 0.7107
0.0875 21.92 13000 0.3350 0.7421
0.087 22.77 13500 0.3129 0.7530
0.0741 23.61 14000 0.3384 0.7454
0.0708 24.45 14500 0.3688 0.7486
0.0812 25.3 15000 0.3383 0.7216
0.0669 26.14 15500 0.3201 0.7205
0.0612 26.98 16000 0.3116 0.7140
0.0637 27.82 16500 0.3303 0.7064
0.0629 28.67 17000 0.3382 0.7129
0.0667 29.51 17500 0.3350 0.7161

Framework versions