End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value: 0.
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 0.4232335172051484
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6926
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- Wer: 0.4232
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 6.3715 | 2.0 | 146 | 3.6727 | 1.0 |
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| 3.4482 | 4.0 | 292 | 3.5947 | 1.0 |
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| 3.4187 | 6.0 | 438 | 3.5349 | 1.0 |
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| 3.3922 | 8.0 | 584 | 3.4713 | 1.0 |
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| 3.349 | 10.0 | 730 | 3.3434 | 1.0 |
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| 2.1445 | 12.0 | 876 | 1.3684 | 0.7849 |
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| 1.0296 | 14.0 | 1022 | 0.9135 | 0.5588 |
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| 0.7796 | 16.0 | 1168 | 0.7838 | 0.4871 |
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| 0.609 | 18.0 | 1314 | 0.7060 | 0.4372 |
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| 0.5388 | 20.0 | 1460 | 0.6926 | 0.4232 |
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### Framework versions
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