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update model card README.md
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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-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: 0.4678
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- Wer: 0.3415
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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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| 3.4531 | 4.0 | 500 | 1.2397 | 0.8576 |
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| 0.5827 | 8.0 | 1000 | 0.4529 | 0.4364 |
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| 0.2161 | 12.0 | 1500 | 0.4630 | 0.3992 |
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| 0.1278 | 16.0 | 2000 | 0.4307 | 0.3709 |
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| 0.09 | 20.0 | 2500 | 0.4772 | 0.3611 |
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| 0.0634 | 24.0 | 3000 | 0.4338 | 0.3462 |
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| 0.0467 | 28.0 | 3500 | 0.4678 | 0.3415 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.10.3
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