generated_from_trainer

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hindi_wav2vec2

This model is a fine-tuned version of TheAIchemist13/hindi_wav2vec2 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 Wer
No log 7.14 25 1.2980 1.4167
No log 14.29 50 0.7841 1.2833
No log 21.43 75 0.5604 1.05
No log 28.57 100 0.5288 1.05
No log 35.71 125 0.2642 0.8833
No log 42.86 150 0.3233 1.0167
No log 50.0 175 0.5526 1.0667
No log 57.14 200 0.1759 0.8167
No log 64.29 225 0.1275 0.6833
No log 71.43 250 0.1004 0.7
No log 78.57 275 0.1294 0.75
No log 85.71 300 0.1928 0.8333
No log 92.86 325 0.1206 0.7167
No log 100.0 350 0.1060 0.7
No log 107.14 375 0.0676 0.65
No log 114.29 400 0.1803 0.8667
No log 121.43 425 0.0502 0.6333
No log 128.57 450 0.0978 0.6833
No log 135.71 475 0.0817 0.6167
0.553 142.86 500 0.0695 0.6667
0.553 150.0 525 0.2449 0.8333
0.553 157.14 550 0.0407 0.6
0.553 164.29 575 0.0713 0.65
0.553 171.43 600 0.0317 0.6333
0.553 178.57 625 0.0383 0.6833
0.553 185.71 650 0.0217 0.6
0.553 192.86 675 0.0087 0.5667
0.553 200.0 700 0.0270 0.6167
0.553 207.14 725 0.1069 0.7
0.553 214.29 750 0.0118 0.5833
0.553 221.43 775 0.0089 0.6
0.553 228.57 800 0.0072 0.5667
0.553 235.71 825 0.0510 0.5833
0.553 242.86 850 0.0187 0.5833
0.553 250.0 875 0.0199 0.5833
0.553 257.14 900 0.0105 0.5833
0.553 264.29 925 0.0082 0.5833
0.553 271.43 950 0.0177 0.5833
0.553 278.57 975 0.0032 0.55
0.103 285.71 1000 0.0036 0.55
0.103 292.86 1025 0.0028 0.5333
0.103 300.0 1050 0.0040 0.5667
0.103 307.14 1075 0.0416 0.5667
0.103 314.29 1100 0.0055 0.5667
0.103 321.43 1125 0.0026 0.55
0.103 328.57 1150 0.0029 0.55
0.103 335.71 1175 0.0010 0.5333
0.103 342.86 1200 0.0036 0.55
0.103 350.0 1225 0.0013 0.55
0.103 357.14 1250 0.0010 0.5333
0.103 364.29 1275 0.0013 0.5333
0.103 371.43 1300 0.0007 0.5333
0.103 378.57 1325 0.0006 0.5333
0.103 385.71 1350 0.0005 0.5333
0.103 392.86 1375 0.0004 0.5333
0.103 400.0 1400 0.0004 0.5333
0.103 407.14 1425 0.0004 0.5333
0.103 414.29 1450 0.0003 0.5333
0.103 421.43 1475 0.0003 0.5333
0.0142 428.57 1500 0.0003 0.5333

Framework versions