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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- librispeech_asr |
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model-index: |
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- name: '' |
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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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# |
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This model was trained from scratch on the librispeech_asr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9599 |
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- Wer: 0.1442 |
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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: 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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 20.0 |
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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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| 6.1431 | 1.68 | 1500 | 6.0870 | 1.4277 | |
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| 5.498 | 3.36 | 3000 | 5.5505 | 1.6318 | |
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| 3.575 | 5.04 | 4500 | 3.7856 | 0.6683 | |
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| 1.7532 | 6.73 | 6000 | 2.4603 | 0.3576 | |
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| 1.6379 | 8.41 | 7500 | 1.8847 | 0.2932 | |
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| 1.3145 | 10.09 | 9000 | 1.5027 | 0.2222 | |
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| 0.8389 | 11.77 | 10500 | 1.2637 | 0.1855 | |
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| 0.9239 | 13.45 | 12000 | 1.1424 | 0.1683 | |
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| 0.6666 | 15.13 | 13500 | 1.0562 | 0.1593 | |
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| 0.5258 | 16.82 | 15000 | 0.9911 | 0.1489 | |
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| 0.4733 | 18.5 | 16500 | 0.9599 | 0.1442 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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