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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-korean-s4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wav2vec2-large-xls-r-300m-korean-s4 |
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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: 0.0378 |
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- Cer: 0.0048 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 1000 |
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- num_epochs: 3 |
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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 | 0.37 | 300 | 4.6810 | 1.0 | |
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| 5.541 | 0.74 | 600 | 3.2272 | 1.0 | |
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| 5.541 | 1.12 | 900 | 2.9931 | 0.9389 | |
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| 2.8308 | 1.49 | 1200 | 0.3785 | 0.0922 | |
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| 0.4651 | 1.86 | 1500 | 0.1628 | 0.0385 | |
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| 0.4651 | 2.23 | 1800 | 0.0769 | 0.0139 | |
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| 0.1628 | 2.6 | 2100 | 0.0475 | 0.0069 | |
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| 0.1628 | 2.97 | 2400 | 0.0378 | 0.0048 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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