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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-timit-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-timit-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: 0.0403
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- Wer: 0.0168
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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: 64
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- eval_batch_size: 16
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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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| 4.5738 | 2.82 | 500 | 2.8712 | 1.0 |
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| 1.3905 | 5.65 | 1000 | 0.2342 | 0.2124 |
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| 0.1868 | 8.47 | 1500 | 0.1023 | 0.0697 |
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| 0.0831 | 11.3 | 2000 | 0.0603 | 0.0339 |
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| 0.0512 | 14.12 | 2500 | 0.0519 | 0.0263 |
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| 0.0363 | 16.95 | 3000 | 0.0478 | 0.0228 |
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| 0.0267 | 19.77 | 3500 | 0.0490 | 0.0228 |
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| 0.0205 | 22.6 | 4000 | 0.0390 | 0.0182 |
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| 0.0163 | 25.42 | 4500 | 0.0418 | 0.0184 |
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| 0.0145 | 28.25 | 5000 | 0.0403 | 0.0168 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.9.1+cu111
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- Datasets 1.13.3
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- Tokenizers 0.10.3
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