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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-colab1 |
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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-colab1 |
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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: 3.1904 |
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- Wer: 1.0 |
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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: 8 |
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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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| 5.0877 | 1.42 | 500 | 3.2909 | 1.0 | |
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| 3.1333 | 2.85 | 1000 | 3.2624 | 1.0 | |
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| 3.1335 | 4.27 | 1500 | 3.2121 | 1.0 | |
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| 3.1294 | 5.7 | 2000 | 3.2047 | 1.0 | |
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| 3.1307 | 7.12 | 2500 | 3.2020 | 1.0 | |
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| 3.1279 | 8.55 | 3000 | 3.1978 | 1.0 | |
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| 3.1296 | 9.97 | 3500 | 3.2015 | 1.0 | |
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| 3.1273 | 11.4 | 4000 | 3.1983 | 1.0 | |
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| 3.1273 | 12.82 | 4500 | 3.2258 | 1.0 | |
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| 3.1274 | 14.25 | 5000 | 3.2151 | 1.0 | |
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| 3.1256 | 15.67 | 5500 | 3.2105 | 1.0 | |
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| 3.1302 | 17.09 | 6000 | 3.2018 | 1.0 | |
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| 3.1285 | 18.52 | 6500 | 3.2006 | 1.0 | |
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| 3.1251 | 19.94 | 7000 | 3.1858 | 1.0 | |
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| 3.1283 | 21.37 | 7500 | 3.1829 | 1.0 | |
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| 3.1267 | 22.79 | 8000 | 3.1773 | 1.0 | |
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| 3.1283 | 24.22 | 8500 | 3.1857 | 1.0 | |
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| 3.1253 | 25.64 | 9000 | 3.1847 | 1.0 | |
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| 3.1251 | 27.07 | 9500 | 3.1832 | 1.0 | |
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| 3.1245 | 28.49 | 10000 | 3.1869 | 1.0 | |
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| 3.1225 | 29.91 | 10500 | 3.1904 | 1.0 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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