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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: wav2vec2-base-demo-colab
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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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# wav2vec2-base-demo-colab
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3944
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- Wer: 0.3142
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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: 32
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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: 30
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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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| 3.4086 | 3.45 | 500 | 1.1494 | 0.8509 |
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| 0.5968 | 6.9 | 1000 | 0.4306 | 0.4169 |
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| 0.2363 | 10.34 | 1500 | 0.3820 | 0.3669 |
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| 0.1365 | 13.79 | 2000 | 0.3863 | 0.3487 |
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| 0.0916 | 17.24 | 2500 | 0.3851 | 0.3391 |
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| 0.0704 | 20.69 | 3000 | 0.3759 | 0.3271 |
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| 0.0537 | 24.14 | 3500 | 0.3747 | 0.3222 |
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| 0.0413 | 27.59 | 4000 | 0.3944 | 0.3142 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.11.0+cu113
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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