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README.md
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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: librispeech-5h-supervised
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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-5h-supervised
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This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2041
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- Wer: 0.0624
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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: 100
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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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| 3.7758 | 11.11 | 1000 | 0.3120 | 0.2337 |
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| 0.1238 | 22.22 | 2000 | 0.1651 | 0.0826 |
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| 0.0383 | 33.33 | 3000 | 0.1667 | 0.0712 |
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| 0.023 | 44.44 | 4000 | 0.1893 | 0.0685 |
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| 0.0166 | 55.56 | 5000 | 0.2008 | 0.0666 |
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| 0.0131 | 66.67 | 6000 | 0.1942 | 0.0639 |
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| 0.0106 | 77.78 | 7000 | 0.1979 | 0.0628 |
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| 0.0091 | 88.89 | 8000 | 0.2027 | 0.0628 |
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| 0.008 | 100.0 | 9000 | 0.2041 | 0.0624 |
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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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