generated_from_trainer

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Speech3

This model is a fine-tuned version of facebook/wav2vec2-base 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
2.9722 0.19 100 3.0022 1
2.9665 0.38 200 2.9838 1
2.9826 0.56 300 2.9780 1
2.975 0.75 400 3.0293 1
3.0458 0.94 500 3.0058 1
2.9819 1.13 600 3.0088 1
3.0267 1.31 700 3.0086 1
2.945 1.5 800 2.9810 1
2.9501 1.69 900 2.9702 1
3.0021 1.88 1000 2.9810 1
2.9721 2.06 1100 3.0104 1
2.9669 2.25 1200 3.0150 1
2.9694 2.44 1300 2.9685 1
2.968 2.63 1400 3.0010 1
2.9604 2.81 1500 2.9753 1
3.0178 3.0 1600 3.2719 1
2.9699 3.19 1700 2.9617 1
2.9871 3.38 1800 2.9613 1
2.9551 3.56 1900 2.9946 1
2.9597 3.75 2000 2.9652 1
2.9573 3.94 2100 3.1862 1
2.9652 4.13 2200 3.0658 1
2.9627 4.32 2300 3.2517 1
2.9382 4.5 2400 2.9681 1
2.9273 4.69 2500 2.9715 1
2.9459 4.88 2600 3.0109 1
3.0296 5.07 2700 2.9807 1
3.0574 5.25 2800 2.9737 1
3.0118 5.44 2900 2.9675 1
2.9799 5.63 3000 2.9804 1
2.9839 5.82 3100 3.0447 1
2.9565 6.0 3200 2.9867 1
2.9251 6.19 3300 2.9778 1
2.9881 6.38 3400 3.2389 1
2.9388 6.57 3500 2.9655 1
2.9832 6.75 3600 3.0652 1
2.9741 6.94 3700 2.9748 1
2.9425 7.13 3800 2.9657 1
2.9116 7.32 3900 2.9609 1
2.9413 7.5 4000 2.9629 1
2.8981 7.69 4100 2.9748 1
2.9369 7.88 4200 2.9799 1
2.9941 8.07 4300 2.9553 1
2.97 8.26 4400 2.9607 1
2.9205 8.44 4500 2.9552 1
2.9585 8.63 4600 2.9680 1
2.9763 8.82 4700 2.9646 1
2.9206 9.01 4800 2.9615 1
2.9236 9.19 4900 2.9655 1
2.8985 9.38 5000 2.9613 1

Framework versions