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yoon1000
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ft_0126_kor_eng-1

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 +23 -5
  2. model.safetensors +1 -1
  3. runs/Jan26_17-38-09_DESKTOP-CE5K89C/events.out.tfevents.1706258316.DESKTOP-CE5K89C.18844.0 +2 -2
README.md CHANGED
@@ -14,6 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # ft_0126_kor_eng-1
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 
 
 
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  ## Model description
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@@ -38,15 +41,30 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | No log | 20.0 | 100 | 23.0081 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  # ft_0126_kor_eng-1
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0609
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+ - Cer: 0.2143
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 40
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 9.5689 | 2.44 | 100 | 6.7682 | 1.0 |
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+ | 3.0585 | 4.88 | 200 | 4.9715 | 1.0 |
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+ | 2.9664 | 7.32 | 300 | 4.7381 | 1.0 |
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+ | 2.9563 | 9.76 | 400 | 4.3435 | 1.0 |
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+ | 2.9441 | 12.2 | 500 | 3.8964 | 1.0 |
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+ | 2.927 | 14.63 | 600 | 3.7284 | 1.0 |
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+ | 2.9019 | 17.07 | 700 | 3.4735 | 1.0 |
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+ | 2.7333 | 19.51 | 800 | 2.8455 | 0.9113 |
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+ | 2.1073 | 21.95 | 900 | 1.8594 | 0.5217 |
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+ | 1.488 | 24.39 | 1000 | 1.4387 | 0.3741 |
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+ | 1.1468 | 26.83 | 1100 | 1.1822 | 0.2872 |
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+ | 0.9639 | 29.27 | 1200 | 1.1472 | 0.2511 |
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+ | 0.8441 | 31.71 | 1300 | 1.0706 | 0.2275 |
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+ | 0.808 | 34.15 | 1400 | 1.0858 | 0.2239 |
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+ | 0.6775 | 36.59 | 1500 | 1.0570 | 0.2136 |
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+ | 0.6496 | 39.02 | 1600 | 1.0609 | 0.2143 |
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  ### Framework versions
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