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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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metrics: |
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- wer |
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model-index: |
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- name: w2v2-libri |
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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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# w2v2-libri |
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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: 1.7315 |
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- Wer: 0.5574 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 3000 |
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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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| 7.1828 | 50.0 | 200 | 3.0563 | 1.0 | |
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| 2.8849 | 100.0 | 400 | 2.9023 | 1.0 | |
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| 1.5108 | 150.0 | 600 | 1.1468 | 0.6667 | |
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| 0.1372 | 200.0 | 800 | 1.3749 | 0.6279 | |
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| 0.0816 | 250.0 | 1000 | 1.3985 | 0.6224 | |
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| 0.0746 | 300.0 | 1200 | 1.5285 | 0.6141 | |
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| 0.0556 | 350.0 | 1400 | 1.5496 | 0.5920 | |
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| 0.0644 | 400.0 | 1600 | 1.6263 | 0.5947 | |
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| 0.0546 | 450.0 | 1800 | 1.6803 | 0.5906 | |
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| 0.0491 | 500.0 | 2000 | 1.6155 | 0.5837 | |
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| 0.0518 | 550.0 | 2200 | 1.6784 | 0.5698 | |
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| 0.0314 | 600.0 | 2400 | 1.6050 | 0.5602 | |
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| 0.0048 | 650.0 | 2600 | 1.7703 | 0.5546 | |
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| 0.0042 | 700.0 | 2800 | 1.7135 | 0.5615 | |
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| 0.0025 | 750.0 | 3000 | 1.7315 | 0.5574 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.2 |
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