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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: librispeech-semi-supervised-without-LM |
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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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# librispeech-semi-supervised-without-LM |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1837 |
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- Wer: 0.0580 |
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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: 16 |
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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: 15 |
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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 | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.0565 | 0.56 | 1000 | 0.1354 | 0.0641 | |
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| 0.0548 | 1.12 | 2000 | 0.1320 | 0.0628 | |
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| 0.0478 | 1.68 | 3000 | 0.1247 | 0.0612 | |
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| 0.0451 | 2.24 | 4000 | 0.1256 | 0.0613 | |
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| 0.0401 | 2.8 | 5000 | 0.1269 | 0.0606 | |
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| 0.035 | 3.36 | 6000 | 0.1370 | 0.0595 | |
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| 0.0344 | 3.92 | 7000 | 0.1280 | 0.0589 | |
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| 0.031 | 4.48 | 8000 | 0.1350 | 0.0589 | |
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| 0.031 | 5.04 | 9000 | 0.1418 | 0.0614 | |
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| 0.0278 | 5.61 | 10000 | 0.1382 | 0.0604 | |
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| 0.0272 | 6.17 | 11000 | 0.1502 | 0.0615 | |
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| 0.0246 | 6.73 | 12000 | 0.1443 | 0.0609 | |
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| 0.0233 | 7.29 | 13000 | 0.1548 | 0.0589 | |
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| 0.0224 | 7.85 | 14000 | 0.1547 | 0.0599 | |
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| 0.0202 | 8.41 | 15000 | 0.1570 | 0.0590 | |
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| 0.0199 | 8.97 | 16000 | 0.1564 | 0.0594 | |
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| 0.0186 | 9.53 | 17000 | 0.1598 | 0.0595 | |
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| 0.0187 | 10.09 | 18000 | 0.1657 | 0.0585 | |
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| 0.017 | 10.65 | 19000 | 0.1690 | 0.0584 | |
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| 0.016 | 11.21 | 20000 | 0.1689 | 0.0588 | |
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| 0.0156 | 11.77 | 21000 | 0.1745 | 0.0585 | |
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| 0.0151 | 12.33 | 22000 | 0.1777 | 0.0583 | |
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| 0.0144 | 12.89 | 23000 | 0.1778 | 0.0590 | |
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| 0.0142 | 13.45 | 24000 | 0.1803 | 0.0585 | |
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| 0.0137 | 14.01 | 25000 | 0.1796 | 0.0581 | |
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| 0.0132 | 14.57 | 26000 | 0.1837 | 0.0580 | |
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### Framework versions |
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- Transformers 4.14.1 |
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- Pytorch 1.10.2 |
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- Datasets 1.18.2 |
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- Tokenizers 0.10.3 |
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