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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f5

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

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  1. README.md +43 -43
  2. model.safetensors +1 -1
  3. runs/May03_22-07-00_Lydia/events.out.tfevents.1777864060.Lydia.20124.5 +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: 0.2593
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- - Per: 0.2808
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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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- | 17.6566 | 0.7194 | 400 | 4.5597 | 0.9752 |
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- | 4.4056 | 1.4388 | 800 | 4.0968 | 0.9754 |
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- | 4.1344 | 2.1583 | 1200 | 3.9847 | 0.9752 |
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- | 3.6593 | 2.8777 | 1600 | 2.3691 | 0.7416 |
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- | 2.3885 | 3.5971 | 2000 | 1.0452 | 0.3698 |
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- | 1.7178 | 4.3165 | 2400 | 0.6885 | 0.3345 |
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- | 1.4374 | 5.0360 | 2800 | 0.5358 | 0.3086 |
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- | 1.2391 | 5.7554 | 3200 | 0.4584 | 0.2994 |
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- | 1.1589 | 6.4748 | 3600 | 0.4023 | 0.2965 |
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- | 1.0688 | 7.1942 | 4000 | 0.3726 | 0.2931 |
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- | 1.0078 | 7.9137 | 4400 | 0.3413 | 0.2900 |
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- | 0.9457 | 8.6331 | 4800 | 0.3347 | 0.2873 |
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- | 0.8939 | 9.3525 | 5200 | 0.3224 | 0.2876 |
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- | 0.902 | 10.0719 | 5600 | 0.3107 | 0.2860 |
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- | 0.8757 | 10.7914 | 6000 | 0.3023 | 0.2871 |
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- | 0.8603 | 11.5108 | 6400 | 0.2986 | 0.2864 |
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- | 0.8223 | 12.2302 | 6800 | 0.2967 | 0.2852 |
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- | 0.8008 | 12.9496 | 7200 | 0.2943 | 0.2849 |
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- | 0.7806 | 13.6691 | 7600 | 0.2922 | 0.2840 |
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- | 0.7771 | 14.3885 | 8000 | 0.2875 | 0.2842 |
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- | 0.7582 | 15.1079 | 8400 | 0.2899 | 0.2854 |
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- | 0.7609 | 15.8273 | 8800 | 0.2844 | 0.2838 |
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- | 0.751 | 16.5468 | 9200 | 0.2837 | 0.2836 |
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- | 0.7108 | 17.2662 | 9600 | 0.2806 | 0.2835 |
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- | 0.7089 | 17.9856 | 10000 | 0.2740 | 0.2838 |
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- | 0.6978 | 18.7050 | 10400 | 0.2747 | 0.2822 |
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- | 0.698 | 19.4245 | 10800 | 0.2711 | 0.2829 |
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- | 0.6928 | 20.1439 | 11200 | 0.2680 | 0.2816 |
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- | 0.6842 | 20.8633 | 11600 | 0.2696 | 0.2828 |
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- | 0.6779 | 21.5827 | 12000 | 0.2738 | 0.2839 |
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- | 0.6847 | 22.3022 | 12400 | 0.2640 | 0.2823 |
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- | 0.6546 | 23.0216 | 12800 | 0.2658 | 0.2823 |
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- | 0.6824 | 23.7410 | 13200 | 0.2607 | 0.2828 |
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- | 0.6666 | 24.4604 | 13600 | 0.2646 | 0.2815 |
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- | 0.6704 | 25.1799 | 14000 | 0.2607 | 0.2826 |
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- | 0.6513 | 25.8993 | 14400 | 0.2615 | 0.2819 |
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- | 0.6186 | 26.6187 | 14800 | 0.2598 | 0.2820 |
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- | 0.6595 | 27.3381 | 15200 | 0.2604 | 0.2806 |
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- | 0.6336 | 28.0576 | 15600 | 0.2607 | 0.2806 |
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- | 0.6519 | 28.7770 | 16000 | 0.2594 | 0.2808 |
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- | 0.6316 | 29.4964 | 16400 | 0.2593 | 0.2808 |
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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: 0.2546
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+ - Per: 0.2734
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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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+ | 17.6175 | 0.7194 | 400 | 4.5662 | 0.9888 |
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+ | 4.4006 | 1.4388 | 800 | 4.0899 | 0.9888 |
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+ | 4.0709 | 2.1583 | 1200 | 3.6440 | 0.9886 |
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+ | 3.2766 | 2.8777 | 1600 | 1.5594 | 0.4415 |
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+ | 2.0891 | 3.5971 | 2000 | 0.8822 | 0.3426 |
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+ | 1.5968 | 4.3165 | 2400 | 0.6211 | 0.3105 |
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+ | 1.3795 | 5.0360 | 2800 | 0.4977 | 0.2938 |
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+ | 1.1989 | 5.7554 | 3200 | 0.4303 | 0.2885 |
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+ | 1.1349 | 6.4748 | 3600 | 0.3811 | 0.2837 |
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+ | 1.0385 | 7.1942 | 4000 | 0.3563 | 0.2818 |
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+ | 0.994 | 7.9137 | 4400 | 0.3444 | 0.2828 |
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+ | 0.9319 | 8.6331 | 4800 | 0.3272 | 0.2808 |
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+ | 0.8814 | 9.3525 | 5200 | 0.3135 | 0.2789 |
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+ | 0.8881 | 10.0719 | 5600 | 0.3031 | 0.2769 |
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+ | 0.8555 | 10.7914 | 6000 | 0.3001 | 0.2775 |
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+ | 0.8536 | 11.5108 | 6400 | 0.2988 | 0.2789 |
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+ | 0.8036 | 12.2302 | 6800 | 0.2932 | 0.2775 |
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+ | 0.7946 | 12.9496 | 7200 | 0.2906 | 0.2776 |
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+ | 0.7722 | 13.6691 | 7600 | 0.2869 | 0.2785 |
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+ | 0.7714 | 14.3885 | 8000 | 0.2855 | 0.2775 |
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+ | 0.7507 | 15.1079 | 8400 | 0.2792 | 0.2761 |
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+ | 0.7522 | 15.8273 | 8800 | 0.2845 | 0.2771 |
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+ | 0.7436 | 16.5468 | 9200 | 0.2746 | 0.2754 |
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+ | 0.7154 | 17.2662 | 9600 | 0.2755 | 0.2771 |
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+ | 0.7119 | 17.9856 | 10000 | 0.2711 | 0.2753 |
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+ | 0.6945 | 18.7050 | 10400 | 0.2720 | 0.2749 |
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+ | 0.6855 | 19.4245 | 10800 | 0.2671 | 0.2744 |
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+ | 0.6885 | 20.1439 | 11200 | 0.2634 | 0.2743 |
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+ | 0.683 | 20.8633 | 11600 | 0.2645 | 0.2742 |
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+ | 0.6752 | 21.5827 | 12000 | 0.2660 | 0.2744 |
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+ | 0.678 | 22.3022 | 12400 | 0.2592 | 0.2726 |
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+ | 0.6502 | 23.0216 | 12800 | 0.2581 | 0.2730 |
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+ | 0.6784 | 23.7410 | 13200 | 0.2585 | 0.2740 |
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+ | 0.665 | 24.4604 | 13600 | 0.2580 | 0.2736 |
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+ | 0.6681 | 25.1799 | 14000 | 0.2558 | 0.2728 |
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+ | 0.6448 | 25.8993 | 14400 | 0.2534 | 0.2735 |
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+ | 0.6231 | 26.6187 | 14800 | 0.2523 | 0.2728 |
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+ | 0.6542 | 27.3381 | 15200 | 0.2540 | 0.2731 |
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+ | 0.6349 | 28.0576 | 15600 | 0.2558 | 0.2735 |
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+ | 0.6492 | 28.7770 | 16000 | 0.2547 | 0.2735 |
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+ | 0.6252 | 29.4964 | 16400 | 0.2546 | 0.2734 |
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  ### Framework versions
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