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zacdan4801
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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f6

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_23-32-44_Lydia/events.out.tfevents.1777869204.Lydia.20124.6 +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: 0.2481
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- - Per: 0.2769
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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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- | 17.6746 | 0.7194 | 400 | 4.5664 | 0.9727 |
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- | 4.405 | 1.4388 | 800 | 4.0974 | 0.9727 |
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- | 4.1236 | 2.1583 | 1200 | 3.9587 | 0.9726 |
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- | 3.6601 | 2.8777 | 1600 | 2.3261 | 0.7099 |
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- | 2.3656 | 3.5971 | 2000 | 1.0232 | 0.3667 |
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- | 1.7323 | 4.3165 | 2400 | 0.6870 | 0.3255 |
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- | 1.4403 | 5.0360 | 2800 | 0.5254 | 0.3042 |
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- | 1.2706 | 5.7554 | 3200 | 0.4402 | 0.2982 |
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- | 1.1708 | 6.4748 | 3600 | 0.3883 | 0.2925 |
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- | 1.0603 | 7.1942 | 4000 | 0.3597 | 0.2887 |
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- | 1.0158 | 7.9137 | 4400 | 0.3369 | 0.2853 |
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- | 0.9656 | 8.6331 | 4800 | 0.3246 | 0.2851 |
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- | 0.9082 | 9.3525 | 5200 | 0.3026 | 0.2812 |
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- | 0.8879 | 10.0719 | 5600 | 0.2993 | 0.2843 |
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- | 0.8804 | 10.7914 | 6000 | 0.2898 | 0.2819 |
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- | 0.8698 | 11.5108 | 6400 | 0.2889 | 0.2807 |
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- | 0.8404 | 12.2302 | 6800 | 0.2823 | 0.2801 |
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- | 0.8112 | 12.9496 | 7200 | 0.2747 | 0.2790 |
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- | 0.7954 | 13.6691 | 7600 | 0.2754 | 0.2787 |
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- | 0.7994 | 14.3885 | 8000 | 0.2702 | 0.2795 |
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- | 0.7535 | 15.1079 | 8400 | 0.2673 | 0.2803 |
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- | 0.7599 | 15.8273 | 8800 | 0.2687 | 0.2788 |
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- | 0.7487 | 16.5468 | 9200 | 0.2635 | 0.2795 |
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- | 0.7151 | 17.2662 | 9600 | 0.2662 | 0.2786 |
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- | 0.7287 | 17.9856 | 10000 | 0.2633 | 0.2792 |
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- | 0.7119 | 18.7050 | 10400 | 0.2635 | 0.2793 |
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- | 0.6937 | 19.4245 | 10800 | 0.2599 | 0.2786 |
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- | 0.7147 | 20.1439 | 11200 | 0.2528 | 0.2778 |
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- | 0.6984 | 20.8633 | 11600 | 0.2575 | 0.2780 |
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- | 0.6891 | 21.5827 | 12000 | 0.2579 | 0.2790 |
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- | 0.6945 | 22.3022 | 12400 | 0.2564 | 0.2780 |
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- | 0.694 | 23.0216 | 12800 | 0.2521 | 0.2764 |
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- | 0.6683 | 23.7410 | 13200 | 0.2505 | 0.2773 |
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- | 0.6791 | 24.4604 | 13600 | 0.2500 | 0.2767 |
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- | 0.6617 | 25.1799 | 14000 | 0.2498 | 0.2773 |
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- | 0.6497 | 25.8993 | 14400 | 0.2498 | 0.2765 |
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- | 0.6311 | 26.6187 | 14800 | 0.2470 | 0.2765 |
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- | 0.6696 | 27.3381 | 15200 | 0.2476 | 0.2775 |
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- | 0.644 | 28.0576 | 15600 | 0.2486 | 0.2771 |
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- | 0.6457 | 28.7770 | 16000 | 0.2492 | 0.2774 |
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- | 0.6509 | 29.4964 | 16400 | 0.2481 | 0.2769 |
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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: 0.2470
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+ - Per: 0.2700
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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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+ | 17.6564 | 0.7194 | 400 | 4.5685 | 0.9888 |
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+ | 4.3982 | 1.4388 | 800 | 4.0889 | 0.9887 |
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+ | 4.078 | 2.1583 | 1200 | 3.6693 | 0.9888 |
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+ | 3.3137 | 2.8777 | 1600 | 1.6025 | 0.4352 |
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+ | 2.0862 | 3.5971 | 2000 | 0.8676 | 0.3350 |
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+ | 1.613 | 4.3165 | 2400 | 0.6230 | 0.3078 |
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+ | 1.3804 | 5.0360 | 2800 | 0.4992 | 0.2936 |
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+ | 1.2312 | 5.7554 | 3200 | 0.4202 | 0.2872 |
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+ | 1.1465 | 6.4748 | 3600 | 0.3793 | 0.2818 |
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+ | 1.0451 | 7.1942 | 4000 | 0.3470 | 0.2783 |
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+ | 0.9853 | 7.9137 | 4400 | 0.3207 | 0.2768 |
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+ | 0.9449 | 8.6331 | 4800 | 0.3132 | 0.2768 |
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+ | 0.8976 | 9.3525 | 5200 | 0.3061 | 0.2752 |
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+ | 0.8768 | 10.0719 | 5600 | 0.2952 | 0.2755 |
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+ | 0.8707 | 10.7914 | 6000 | 0.2927 | 0.2751 |
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+ | 0.854 | 11.5108 | 6400 | 0.2928 | 0.2750 |
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+ | 0.8301 | 12.2302 | 6800 | 0.2845 | 0.2766 |
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+ | 0.8017 | 12.9496 | 7200 | 0.2830 | 0.2726 |
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+ | 0.781 | 13.6691 | 7600 | 0.2815 | 0.2730 |
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+ | 0.7917 | 14.3885 | 8000 | 0.2737 | 0.2723 |
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+ | 0.7449 | 15.1079 | 8400 | 0.2696 | 0.2731 |
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+ | 0.7606 | 15.8273 | 8800 | 0.2674 | 0.2710 |
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+ | 0.7411 | 16.5468 | 9200 | 0.2634 | 0.2710 |
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+ | 0.7137 | 17.2662 | 9600 | 0.2641 | 0.2728 |
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+ | 0.7264 | 17.9856 | 10000 | 0.2567 | 0.2701 |
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+ | 0.7062 | 18.7050 | 10400 | 0.2604 | 0.2708 |
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+ | 0.6896 | 19.4245 | 10800 | 0.2568 | 0.2714 |
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+ | 0.7088 | 20.1439 | 11200 | 0.2566 | 0.2703 |
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+ | 0.6848 | 20.8633 | 11600 | 0.2555 | 0.2699 |
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+ | 0.6857 | 21.5827 | 12000 | 0.2572 | 0.2710 |
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+ | 0.6834 | 22.3022 | 12400 | 0.2563 | 0.2708 |
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+ | 0.6896 | 23.0216 | 12800 | 0.2520 | 0.2700 |
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+ | 0.6645 | 23.7410 | 13200 | 0.2487 | 0.2690 |
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+ | 0.672 | 24.4604 | 13600 | 0.2513 | 0.2697 |
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+ | 0.6551 | 25.1799 | 14000 | 0.2485 | 0.2703 |
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+ | 0.6489 | 25.8993 | 14400 | 0.2501 | 0.2700 |
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+ | 0.6329 | 26.6187 | 14800 | 0.2487 | 0.2697 |
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+ | 0.6639 | 27.3381 | 15200 | 0.2479 | 0.2701 |
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+ | 0.6385 | 28.0576 | 15600 | 0.2489 | 0.2705 |
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+ | 0.6411 | 28.7770 | 16000 | 0.2473 | 0.2705 |
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+ | 0.6462 | 29.4964 | 16400 | 0.2470 | 0.2700 |
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  ### Framework versions
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