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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: wav2vec2-base-librispeech-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-librispeech-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: 0.2489 |
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- Wer: 0.1673 |
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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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| 3.7801 | 2.2 | 500 | 2.1946 | 1.0068 | |
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| 0.7656 | 4.41 | 1000 | 0.3422 | 0.3137 | |
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| 0.3193 | 6.61 | 1500 | 0.2528 | 0.2327 | |
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| 0.2202 | 8.81 | 2000 | 0.2141 | 0.2121 | |
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| 0.1703 | 11.01 | 2500 | 0.2121 | 0.1966 | |
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| 0.1388 | 13.22 | 3000 | 0.3337 | 0.2325 | |
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| 0.119 | 15.42 | 3500 | 0.2342 | 0.1847 | |
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| 0.0992 | 17.62 | 4000 | 0.2356 | 0.1785 | |
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| 0.0875 | 19.82 | 4500 | 0.2534 | 0.1810 | |
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| 0.0769 | 22.03 | 5000 | 0.2491 | 0.1765 | |
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| 0.0661 | 24.23 | 5500 | 0.2513 | 0.1710 | |
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| 0.0587 | 26.43 | 6000 | 0.2546 | 0.1686 | |
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| 0.0544 | 28.63 | 6500 | 0.2489 | 0.1673 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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