generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

retrain_first1epoch

This model is a fine-tuned version of alexziweiwang/exp21-uaspeech-foundation on an unknown 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 Acc Wer Correct Total Strlen
No log 0.02 5 13.8048 0.22 1.0237 44 200 200
12.2209 0.04 10 13.6869 0.22 1.0257 44 200 200
12.2209 0.06 15 13.5691 0.225 1.0296 45 200 200
12.4299 0.08 20 13.4590 0.24 1.0375 48 200 200
12.4299 0.11 25 13.3508 0.235 1.0395 47 200 200
11.0298 0.13 30 13.2241 0.25 1.0375 50 200 200
11.0298 0.15 35 13.0757 0.245 1.0336 49 200 200
10.5248 0.17 40 12.9277 0.245 1.0316 49 200 200
10.5248 0.19 45 12.7784 0.25 1.0316 50 200 200
10.8585 0.21 50 12.6346 0.25 1.0277 50 200 200
10.8585 0.23 55 12.4939 0.25 1.0277 50 200 200
10.7046 0.25 60 12.3472 0.25 1.0257 50 200 200
10.7046 0.27 65 12.1962 0.25 1.0237 50 200 200
10.8031 0.3 70 12.0537 0.25 1.0257 50 200 200
10.8031 0.32 75 11.9088 0.25 1.0237 50 200 200
10.859 0.34 80 11.7693 0.25 1.0257 50 200 200
10.859 0.36 85 11.6214 0.25 1.0198 50 200 200
9.7886 0.38 90 11.4699 0.25 1.0178 50 200 200
9.7886 0.4 95 11.3182 0.25 1.0138 50 200 200
10.4627 0.42 100 11.1609 0.25 1.0119 50 200 200
10.4627 0.44 105 11.0017 0.25 1.0138 50 200 200
10.0619 0.46 110 10.8520 0.25 1.0138 50 200 200
10.0619 0.48 115 10.7096 0.25 1.0138 50 200 200
8.7443 0.51 120 10.5629 0.25 1.0138 50 200 200
8.7443 0.53 125 10.4111 0.25 1.0119 50 200 200
9.675 0.55 130 10.2606 0.25 1.0119 50 200 200
9.675 0.57 135 10.1125 0.245 1.0119 49 200 200
9.1918 0.59 140 9.9708 0.24 1.0040 48 200 200
9.1918 0.61 145 9.8248 0.24 1.0040 48 200 200
9.6798 0.63 150 9.6785 0.24 1.0040 48 200 200
9.6798 0.65 155 9.5309 0.24 1.0040 48 200 200
9.0181 0.67 160 9.3867 0.24 1.0040 48 200 200
9.0181 0.7 165 9.2432 0.24 1.0040 48 200 200
7.7446 0.72 170 9.1053 0.24 1.0040 48 200 200
7.7446 0.74 175 8.9743 0.24 1.0040 48 200 200
8.0251 0.76 180 8.8538 0.24 1.0040 48 200 200
8.0251 0.78 185 8.7473 0.24 1.0020 48 200 200
7.9652 0.8 190 8.6516 0.24 1.0020 48 200 200
7.9652 0.82 195 8.5661 0.24 1.0020 48 200 200
7.9537 0.84 200 8.4887 0.24 1.0020 48 200 200
7.9537 0.86 205 8.4206 0.24 1.0 48 200 200
7.2889 0.89 210 8.3644 0.24 1.0 48 200 200
7.2889 0.91 215 8.3169 0.24 1.0 48 200 200
7.8974 0.93 220 8.2789 0.24 1.0 48 200 200
7.8974 0.95 225 8.2514 0.24 1.0 48 200 200
6.9118 0.97 230 8.2330 0.24 1.0 48 200 200
6.9118 0.99 235 8.2238 0.24 1.0 48 200 200

Framework versions