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zacdan4801
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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f9

Automatic Speech Recognition
Transformers
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Safetensors
wav2vec2
Generated from Trainer
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End of training

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  1. README.md +43 -43
  2. model.safetensors +1 -1
  3. runs/May04_03-51-37_Lydia/events.out.tfevents.1777884737.Lydia.20124.9 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2428
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- - Per: 0.2755
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  ## Model description
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@@ -52,47 +52,47 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Per |
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  |:-------------:|:-------:|:-----:|:---------------:|:------:|
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- | 17.6176 | 0.7194 | 400 | 4.5619 | 0.9733 |
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- | 4.3998 | 1.4388 | 800 | 4.1005 | 0.9732 |
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- | 4.1386 | 2.1583 | 1200 | 4.0236 | 0.9733 |
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- | 3.7873 | 2.8777 | 1600 | 2.7356 | 0.8062 |
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- | 2.5381 | 3.5971 | 2000 | 1.1134 | 0.3802 |
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- | 1.7765 | 4.3165 | 2400 | 0.7055 | 0.3300 |
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- | 1.4386 | 5.0360 | 2800 | 0.5240 | 0.3008 |
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- | 1.2713 | 5.7554 | 3200 | 0.4348 | 0.2922 |
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- | 1.1726 | 6.4748 | 3600 | 0.3918 | 0.2903 |
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- | 1.0726 | 7.1942 | 4000 | 0.3529 | 0.2862 |
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- | 1.0097 | 7.9137 | 4400 | 0.3279 | 0.2829 |
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- | 0.9863 | 8.6331 | 4800 | 0.3110 | 0.2825 |
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- | 0.9237 | 9.3525 | 5200 | 0.2921 | 0.2812 |
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- | 0.8902 | 10.0719 | 5600 | 0.2885 | 0.2809 |
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- | 0.8871 | 10.7914 | 6000 | 0.2874 | 0.2827 |
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- | 0.8632 | 11.5108 | 6400 | 0.2816 | 0.2798 |
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- | 0.8456 | 12.2302 | 6800 | 0.2776 | 0.2798 |
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- | 0.8016 | 12.9496 | 7200 | 0.2716 | 0.2785 |
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- | 0.7872 | 13.6691 | 7600 | 0.2724 | 0.2777 |
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- | 0.8005 | 14.3885 | 8000 | 0.2641 | 0.2785 |
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- | 0.7556 | 15.1079 | 8400 | 0.2658 | 0.2789 |
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- | 0.7585 | 15.8273 | 8800 | 0.2621 | 0.2794 |
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- | 0.7487 | 16.5468 | 9200 | 0.2599 | 0.2782 |
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- | 0.7354 | 17.2662 | 9600 | 0.2581 | 0.2777 |
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- | 0.7156 | 17.9856 | 10000 | 0.2568 | 0.2788 |
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- | 0.7059 | 18.7050 | 10400 | 0.2515 | 0.2760 |
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- | 0.6986 | 19.4245 | 10800 | 0.2517 | 0.2766 |
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- | 0.7281 | 20.1439 | 11200 | 0.2492 | 0.2765 |
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- | 0.6883 | 20.8633 | 11600 | 0.2481 | 0.2767 |
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- | 0.6983 | 21.5827 | 12000 | 0.2480 | 0.2772 |
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- | 0.7073 | 22.3022 | 12400 | 0.2467 | 0.2756 |
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- | 0.6932 | 23.0216 | 12800 | 0.2449 | 0.2762 |
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- | 0.6618 | 23.7410 | 13200 | 0.2463 | 0.2763 |
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- | 0.6842 | 24.4604 | 13600 | 0.2459 | 0.2753 |
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- | 0.6702 | 25.1799 | 14000 | 0.2462 | 0.2763 |
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- | 0.6723 | 25.8993 | 14400 | 0.2423 | 0.2763 |
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- | 0.6409 | 26.6187 | 14800 | 0.2428 | 0.2760 |
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- | 0.6761 | 27.3381 | 15200 | 0.2422 | 0.2753 |
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- | 0.6532 | 28.0576 | 15600 | 0.2414 | 0.2756 |
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- | 0.6517 | 28.7770 | 16000 | 0.2431 | 0.2747 |
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- | 0.6337 | 29.4964 | 16400 | 0.2428 | 0.2755 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2496
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+ - Per: 0.2682
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Per |
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  |:-------------:|:-------:|:-----:|:---------------:|:------:|
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+ | 17.5922 | 0.7194 | 400 | 4.5625 | 0.9854 |
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+ | 4.3936 | 1.4388 | 800 | 4.0924 | 0.9852 |
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+ | 4.0753 | 2.1583 | 1200 | 3.6483 | 0.9852 |
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+ | 3.2625 | 2.8777 | 1600 | 1.5656 | 0.4371 |
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+ | 2.0665 | 3.5971 | 2000 | 0.8789 | 0.3377 |
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+ | 1.5989 | 4.3165 | 2400 | 0.6199 | 0.3068 |
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+ | 1.3583 | 5.0360 | 2800 | 0.4887 | 0.2910 |
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+ | 1.2105 | 5.7554 | 3200 | 0.4126 | 0.2837 |
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+ | 1.1235 | 6.4748 | 3600 | 0.3650 | 0.2780 |
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+ | 1.0378 | 7.1942 | 4000 | 0.3373 | 0.2767 |
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+ | 0.9659 | 7.9137 | 4400 | 0.3245 | 0.2756 |
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+ | 0.9498 | 8.6331 | 4800 | 0.3119 | 0.2756 |
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+ | 0.8914 | 9.3525 | 5200 | 0.3038 | 0.2737 |
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+ | 0.8634 | 10.0719 | 5600 | 0.2876 | 0.2721 |
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+ | 0.8531 | 10.7914 | 6000 | 0.2893 | 0.2723 |
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+ | 0.8348 | 11.5108 | 6400 | 0.2859 | 0.2698 |
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+ | 0.8223 | 12.2302 | 6800 | 0.2871 | 0.2720 |
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+ | 0.7767 | 12.9496 | 7200 | 0.2740 | 0.2701 |
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+ | 0.7684 | 13.6691 | 7600 | 0.2726 | 0.2699 |
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+ | 0.7732 | 14.3885 | 8000 | 0.2668 | 0.2694 |
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+ | 0.7387 | 15.1079 | 8400 | 0.2648 | 0.2683 |
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+ | 0.7446 | 15.8273 | 8800 | 0.2584 | 0.2676 |
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+ | 0.7335 | 16.5468 | 9200 | 0.2541 | 0.2678 |
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+ | 0.7256 | 17.2662 | 9600 | 0.2580 | 0.2684 |
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+ | 0.6957 | 17.9856 | 10000 | 0.2580 | 0.2691 |
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+ | 0.6875 | 18.7050 | 10400 | 0.2569 | 0.2684 |
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+ | 0.6806 | 19.4245 | 10800 | 0.2568 | 0.2671 |
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+ | 0.7099 | 20.1439 | 11200 | 0.2558 | 0.2680 |
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+ | 0.6773 | 20.8633 | 11600 | 0.2539 | 0.2681 |
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+ | 0.6788 | 21.5827 | 12000 | 0.2538 | 0.2680 |
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+ | 0.6889 | 22.3022 | 12400 | 0.2532 | 0.2684 |
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+ | 0.6763 | 23.0216 | 12800 | 0.2498 | 0.2682 |
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+ | 0.6531 | 23.7410 | 13200 | 0.2513 | 0.2680 |
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+ | 0.677 | 24.4604 | 13600 | 0.2504 | 0.2681 |
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+ | 0.6602 | 25.1799 | 14000 | 0.2493 | 0.2681 |
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+ | 0.6475 | 25.8993 | 14400 | 0.2466 | 0.2687 |
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+ | 0.6264 | 26.6187 | 14800 | 0.2487 | 0.2675 |
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+ | 0.6607 | 27.3381 | 15200 | 0.2496 | 0.2683 |
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+ | 0.6365 | 28.0576 | 15600 | 0.2483 | 0.2682 |
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+ | 0.6374 | 28.7770 | 16000 | 0.2497 | 0.2682 |
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+ | 0.6213 | 29.4964 | 16400 | 0.2496 | 0.2682 |
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  ### Framework versions
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