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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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- common_voice |
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model-index: |
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- name: wav2vec2-base-1 |
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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-1 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9254 |
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- Wer: 0.3216 |
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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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| 1.6597 | 2.2 | 1000 | 0.8904 | 0.5388 | |
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| 0.4751 | 4.41 | 2000 | 0.7009 | 0.3976 | |
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| 0.3307 | 6.61 | 3000 | 0.7068 | 0.3672 | |
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| 0.2574 | 8.81 | 4000 | 0.7320 | 0.3544 | |
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| 0.2096 | 11.01 | 5000 | 0.7803 | 0.3418 | |
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| 0.177 | 13.22 | 6000 | 0.7768 | 0.3423 | |
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| 0.1521 | 15.42 | 7000 | 0.8113 | 0.3375 | |
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| 0.1338 | 17.62 | 8000 | 0.8153 | 0.3325 | |
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| 0.1168 | 19.82 | 9000 | 0.8851 | 0.3306 | |
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| 0.104 | 22.03 | 10000 | 0.8811 | 0.3277 | |
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| 0.0916 | 24.23 | 11000 | 0.8722 | 0.3254 | |
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| 0.083 | 26.43 | 12000 | 0.9527 | 0.3265 | |
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| 0.0766 | 28.63 | 13000 | 0.9254 | 0.3216 | |
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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 1.13.3 |
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- Tokenizers 0.10.3 |
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