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README.md
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# wav2vec2-base-timit-demo-colab-1
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This model is a fine-tuned version of [
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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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- 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: 800
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- num_epochs:
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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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### Framework versions
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# wav2vec2-base-timit-demo-colab-1
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This model is a fine-tuned version of [zasheza/wav2vec2-base-timit-demo-colab-1](https://huggingface.co/zasheza/wav2vec2-base-timit-demo-colab-1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8811
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- Wer: 0.4169
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## Model description
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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: 800
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- num_epochs: 40
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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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| 0.161 | 5.26 | 500 | 0.7465 | 0.4496 |
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| 0.1852 | 10.53 | 1000 | 0.8108 | 0.4739 |
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| 0.1457 | 15.79 | 1500 | 0.9073 | 0.4600 |
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| 0.1073 | 21.05 | 2000 | 0.8817 | 0.4486 |
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| 0.085 | 26.32 | 2500 | 0.9262 | 0.4442 |
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| 0.0753 | 31.58 | 3000 | 0.8838 | 0.4337 |
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| 0.0647 | 36.84 | 3500 | 0.8811 | 0.4169 |
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### Framework versions
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