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README.md
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# wav2vec2-base-gn-demo
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This model is a fine-tuned version of [
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## Model description
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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:
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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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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.11.3
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# wav2vec2-base-gn-demo
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This model is a fine-tuned version of [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6992
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- Wer: 0.7439
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## Model description
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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| No log | 4.0 | 100 | 2.4470 | 1.0015 |
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| No log | 8.0 | 200 | 0.9011 | 0.8720 |
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| No log | 12.0 | 300 | 0.8527 | 0.9177 |
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| No log | 16.0 | 400 | 0.7743 | 0.7988 |
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| 1.0068 | 20.0 | 500 | 0.7984 | 0.8049 |
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| 1.0068 | 24.0 | 600 | 0.7133 | 0.7530 |
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| 1.0068 | 28.0 | 700 | 0.6992 | 0.7439 |
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### Framework versions
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- Transformers 4.11.3
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