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README.md
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## Intended uses & limitations
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## Training and evaluation data
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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: 3e-05
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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_ratio: 0.01
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- num_epochs: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.6417 | 1.0 | 33 | 0.5774 | 0.7879 |
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| 0.4818 | 2.0 | 66 | 0.3792 | 0.8485 |
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| 0.2756 | 3.0 | 99 | 0.3066 | 0.8788 |
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| 0.3106 | 4.0 | 132 | 0.1951 | 0.9545 |
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| 0.2138 | 5.0 | 165 | 0.2078 | 0.9394 |
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| 0.0988 | 6.0 | 198 | 0.3227 | 0.9091 |
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| 0.1043 | 7.0 | 231 | 0.2893 | 0.9394 |
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| 0.0808 | 8.0 | 264 | 0.2177 | 0.9545 |
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| 0.1312 | 9.0 | 297 | 0.2846 | 0.9091 |
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| 0.0667 | 10.0 | 330 | 0.1955 | 0.9545 |
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| 0.0513 | 11.0 | 363 | 0.2553 | 0.9545 |
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| 0.0217 | 12.0 | 396 | 0.1708 | 0.9545 |
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| 0.0136 | 13.0 | 429 | 0.1641 | 0.9545 |
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| 0.0236 | 14.0 | 462 | 0.2203 | 0.9545 |
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| 0.0097 | 15.0 | 495 | 0.2253 | 0.9545 |
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| 0.003 | 16.0 | 528 | 0.2288 | 0.9545 |
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### Framework versions
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## Intended uses & limitations
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The model still needs dataset to increase model accuracy.
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## Training and evaluation data
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* The model is trained on multi lingual english speaking dataset.
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* The input audio dataset is about 16KHz.
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## Training procedure
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### Framework versions
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