generated_from_trainer

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pure-start-epoch1

This model is a fine-tuned version of yongjian/wav2vec2-large-a 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 67.2752 0.0 1.0119 0 200 200
131.0548 0.04 10 66.2796 0.0 1.0257 0 200 200
131.0548 0.06 15 65.2071 0.005 1.0237 1 200 200
145.0859 0.08 20 64.0987 0.035 1.0198 7 200 200
145.0859 0.11 25 62.9734 0.07 1.0119 14 200 200
110.0012 0.13 30 61.8288 0.09 1.0119 18 200 200
110.0012 0.15 35 60.6565 0.09 1.0119 18 200 200
122.6164 0.17 40 59.4606 0.095 1.0119 19 200 200
122.6164 0.19 45 58.2224 0.095 1.0099 19 200 200
125.942 0.21 50 56.9514 0.095 1.0020 19 200 200
125.942 0.23 55 55.5923 0.095 1.0 19 200 200
111.2271 0.25 60 54.1423 0.095 1.0 19 200 200
111.2271 0.27 65 52.6174 0.095 1.0 19 200 200
137.2356 0.3 70 51.0340 0.095 1.0 19 200 200
137.2356 0.32 75 49.4034 0.095 1.0 19 200 200
112.2532 0.34 80 47.7291 0.095 1.0 19 200 200
112.2532 0.36 85 46.0281 0.095 1.0 19 200 200
88.3973 0.38 90 44.2361 0.095 1.0 19 200 200
88.3973 0.4 95 42.4925 0.095 1.0 19 200 200
88.7175 0.42 100 40.7673 0.095 1.0 19 200 200
88.7175 0.44 105 39.0848 0.095 1.0 19 200 200
90.857 0.46 110 37.4890 0.095 1.0 19 200 200
90.857 0.48 115 35.8966 0.095 1.0 19 200 200
77.5782 0.51 120 34.2822 0.1 1.0 20 200 200
77.5782 0.53 125 32.7953 0.1 1.0 20 200 200
80.2378 0.55 130 31.4560 0.1 1.0 20 200 200
80.2378 0.57 135 30.1651 0.1 1.0 20 200 200
73.5042 0.59 140 29.0069 0.095 1.0 19 200 200
73.5042 0.61 145 28.0349 0.095 1.0 19 200 200
71.5632 0.63 150 27.1812 0.095 1.0 19 200 200
71.5632 0.65 155 26.4012 0.095 1.0 19 200 200
76.5337 0.67 160 25.6924 0.095 1.0 19 200 200
76.5337 0.7 165 25.0184 0.095 1.0 19 200 200
54.6507 0.72 170 24.4100 0.095 1.0 19 200 200
54.6507 0.74 175 23.8273 0.095 1.0 19 200 200
57.1606 0.76 180 23.2988 0.095 1.0 19 200 200
57.1606 0.78 185 22.8731 0.095 1.0 19 200 200
56.0855 0.8 190 22.5336 0.095 1.0 19 200 200
56.0855 0.82 195 22.2334 0.095 1.0 19 200 200
55.2475 0.84 200 21.9555 0.095 1.0 19 200 200
55.2475 0.86 205 21.7112 0.095 1.0 19 200 200
47.9988 0.89 210 21.5123 0.095 1.0 19 200 200
47.9988 0.91 215 21.3407 0.095 1.0 19 200 200
55.1394 0.93 220 21.1965 0.095 1.0 19 200 200
55.1394 0.95 225 21.1028 0.095 1.0 19 200 200
48.0323 0.97 230 21.0376 0.095 1.0 19 200 200
48.0323 0.99 235 21.0050 0.095 1.0 19 200 200

Framework versions