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--- |
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tags: |
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- automatic-speech-recognition |
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- kresnik/zeroth_korean |
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- generated_from_trainer |
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datasets: |
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- zeroth_korean |
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metrics: |
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- wer |
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model-index: |
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- name: output |
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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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# output |
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This model is a fine-tuned version of [/home/son/Work/wav2vec2-xls-r-300m/facebook/wav2vec2-xls-r-300m](https://huggingface.co//home/son/Work/wav2vec2-xls-r-300m/facebook/wav2vec2-xls-r-300m) on the KRESNIK/ZEROTH_KOREAN - CLEAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1666 |
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- Wer: 0.9737 |
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- Cer: 0.5039 |
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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: 7.5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 2000 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 19.558 | 1.44 | 500 | 19.4094 | 1.0 | 1.0 | |
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| 4.7968 | 2.87 | 1000 | 4.7828 | 1.0 | 1.0 | |
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| 4.5125 | 4.31 | 1500 | 4.4959 | 0.9991 | 0.9540 | |
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| 4.2202 | 5.75 | 2000 | 4.2905 | 0.9923 | 0.8520 | |
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| 3.7774 | 7.18 | 2500 | 3.2846 | 1.0356 | 0.6652 | |
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| 3.1418 | 8.62 | 3000 | 2.3624 | 0.9882 | 0.5429 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.11.0 |
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