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dongim04
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wav2vec-large-en

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files
xet
Metrics Community
dongim04 commited on
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End of training

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  1. README.md +56 -30
  2. runs/Nov18_10-20-39_216167b5d312/events.out.tfevents.1731925637.216167b5d312.814.0 +2 -2
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9034
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  - Wer: 1.0
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  ## Model description
@@ -49,35 +49,61 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:---:|
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- | No log | 0.3521 | 50 | 3.5027 | 1.0 |
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- | 5.2013 | 0.7042 | 100 | 2.9715 | 1.0 |
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- | 5.2013 | 1.0563 | 150 | 3.0431 | 1.0 |
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- | 3.1541 | 1.4085 | 200 | 2.8890 | 1.0 |
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- | 3.1541 | 1.7606 | 250 | 2.9611 | 1.0 |
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- | 2.8986 | 2.1127 | 300 | 2.8821 | 1.0 |
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- | 2.8986 | 2.4648 | 350 | 2.8843 | 1.0 |
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- | 2.9209 | 2.8169 | 400 | 2.9202 | 1.0 |
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- | 2.9209 | 3.1690 | 450 | 2.9015 | 1.0 |
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- | 2.9283 | 3.5211 | 500 | 2.8956 | 1.0 |
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- | 2.9283 | 3.8732 | 550 | 2.8913 | 1.0 |
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- | 2.8832 | 4.2254 | 600 | 2.9140 | 1.0 |
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- | 2.8832 | 4.5775 | 650 | 2.8749 | 1.0 |
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- | 2.8789 | 4.9296 | 700 | 2.8970 | 1.0 |
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- | 2.8789 | 5.2817 | 750 | 2.9359 | 1.0 |
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- | 2.8753 | 5.6338 | 800 | 2.8821 | 1.0 |
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- | 2.8753 | 5.9859 | 850 | 2.8868 | 1.0 |
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- | 2.8859 | 6.3380 | 900 | 2.9063 | 1.0 |
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- | 2.8859 | 6.6901 | 950 | 2.8784 | 1.0 |
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- | 2.8693 | 7.0423 | 1000 | 2.9513 | 1.0 |
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- | 2.8693 | 7.3944 | 1050 | 2.8936 | 1.0 |
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- | 2.8911 | 7.7465 | 1100 | 2.8821 | 1.0 |
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- | 2.8911 | 8.0986 | 1150 | 2.9227 | 1.0 |
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- | 2.8625 | 8.4507 | 1200 | 2.8949 | 1.0 |
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- | 2.8625 | 8.8028 | 1250 | 2.9313 | 1.0 |
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- | 2.8641 | 9.1549 | 1300 | 2.8978 | 1.0 |
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- | 2.8641 | 9.5070 | 1350 | 2.9034 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8842
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  - Wer: 1.0
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  ## Model description
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:---:|
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+ | No log | 0.3521 | 50 | 6.2209 | 1.0 |
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+ | 7.7114 | 0.7042 | 100 | 5.8125 | 1.0 |
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+ | 7.7114 | 1.0563 | 150 | 5.5788 | 1.0 |
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+ | 6.2512 | 1.4085 | 200 | 5.5017 | 1.0 |
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+ | 6.2512 | 1.7606 | 250 | 5.0778 | 1.0 |
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+ | 5.152 | 2.1127 | 300 | 3.0842 | 1.0 |
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+ | 5.152 | 2.4648 | 350 | 2.9082 | 1.0 |
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+ | 2.9862 | 2.8169 | 400 | 2.9040 | 1.0 |
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+ | 2.9862 | 3.1690 | 450 | 2.9172 | 1.0 |
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+ | 2.9346 | 3.5211 | 500 | 3.0595 | 1.0 |
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+ | 2.9346 | 3.8732 | 550 | 2.8957 | 1.0 |
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+ | 2.9037 | 4.2254 | 600 | 2.9380 | 1.0 |
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+ | 2.9037 | 4.5775 | 650 | 2.8769 | 1.0 |
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+ | 2.8894 | 4.9296 | 700 | 2.9011 | 1.0 |
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+ | 2.8894 | 5.2817 | 750 | 2.8993 | 1.0 |
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+ | 2.8886 | 5.6338 | 800 | 2.8978 | 1.0 |
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+ | 2.8886 | 5.9859 | 850 | 2.8762 | 1.0 |
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+ | 2.8831 | 6.3380 | 900 | 2.8726 | 1.0 |
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+ | 2.8831 | 6.6901 | 950 | 2.8747 | 1.0 |
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+ | 2.8772 | 7.0423 | 1000 | 3.0238 | 1.0 |
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+ | 2.8772 | 7.3944 | 1050 | 2.8764 | 1.0 |
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+ | 2.8913 | 7.7465 | 1100 | 2.8801 | 1.0 |
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+ | 2.8913 | 8.0986 | 1150 | 2.8926 | 1.0 |
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+ | 2.8677 | 8.4507 | 1200 | 2.9241 | 1.0 |
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+ | 2.8677 | 8.8028 | 1250 | 2.9400 | 1.0 |
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+ | 2.8713 | 9.1549 | 1300 | 2.9158 | 1.0 |
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+ | 2.8713 | 9.5070 | 1350 | 2.8834 | 1.0 |
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+ | 2.8702 | 9.8592 | 1400 | 2.8683 | 1.0 |
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+ | 2.8702 | 10.2113 | 1450 | 2.8976 | 1.0 |
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+ | 2.8817 | 10.5634 | 1500 | 2.9263 | 1.0 |
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+ | 2.8817 | 10.9155 | 1550 | 2.8732 | 1.0 |
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+ | 2.8657 | 11.2676 | 1600 | 2.9270 | 1.0 |
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+ | 2.8657 | 11.6197 | 1650 | 2.8860 | 1.0 |
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+ | 2.8618 | 11.9718 | 1700 | 2.8889 | 1.0 |
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+ | 2.8618 | 12.3239 | 1750 | 2.8942 | 1.0 |
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+ | 2.8846 | 12.6761 | 1800 | 2.8856 | 1.0 |
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+ | 2.8846 | 13.0282 | 1850 | 2.9049 | 1.0 |
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+ | 2.8635 | 13.3803 | 1900 | 2.8727 | 1.0 |
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+ | 2.8635 | 13.7324 | 1950 | 2.8900 | 1.0 |
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+ | 2.8634 | 14.0845 | 2000 | 2.9005 | 1.0 |
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+ | 2.8634 | 14.4366 | 2050 | 2.9035 | 1.0 |
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+ | 2.8624 | 14.7887 | 2100 | 2.9030 | 1.0 |
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+ | 2.8624 | 15.1408 | 2150 | 2.8754 | 1.0 |
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+ | 2.8627 | 15.4930 | 2200 | 2.8944 | 1.0 |
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+ | 2.8627 | 15.8451 | 2250 | 2.8651 | 1.0 |
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+ | 2.8595 | 16.1972 | 2300 | 2.9012 | 1.0 |
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+ | 2.8595 | 16.5493 | 2350 | 2.9074 | 1.0 |
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+ | 2.8591 | 16.9014 | 2400 | 2.8764 | 1.0 |
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+ | 2.8591 | 17.2535 | 2450 | 2.8917 | 1.0 |
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+ | 2.8615 | 17.6056 | 2500 | 2.8757 | 1.0 |
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+ | 2.8615 | 17.9577 | 2550 | 2.8945 | 1.0 |
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+ | 2.861 | 18.3099 | 2600 | 2.9263 | 1.0 |
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+ | 2.861 | 18.6620 | 2650 | 2.8842 | 1.0 |
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  ### Framework versions
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