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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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datasets: |
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- null |
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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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--- |
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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: 0.4634 |
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- Wer: 0.3469 |
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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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| 3.4469 | 4.0 | 500 | 1.2851 | 0.9547 | |
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| 0.616 | 8.0 | 1000 | 0.4867 | 0.4572 | |
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| 0.2324 | 12.0 | 1500 | 0.4432 | 0.3814 | |
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| 0.1338 | 16.0 | 2000 | 0.4169 | 0.3685 | |
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| 0.0893 | 20.0 | 2500 | 0.4634 | 0.3632 | |
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| 0.0631 | 24.0 | 3000 | 0.4804 | 0.3541 | |
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| 0.0497 | 28.0 | 3500 | 0.4634 | 0.3469 | |
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### Framework versions |
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- Transformers 4.9.1 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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