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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 [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset.
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## Model description
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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: cosine_with_restarts
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- lr_scheduler_warmup_steps:
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- num_epochs:
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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: 0.7426
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- Wer: 0.7256
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## Model description
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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: cosine_with_restarts
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 60
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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 | 0.7045 | 0.7409 |
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| No log | 8.0 | 200 | 0.7200 | 0.75 |
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| No log | 12.0 | 300 | 0.7400 | 0.7439 |
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| No log | 16.0 | 400 | 0.7677 | 0.7515 |
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| 0.0846 | 20.0 | 500 | 0.7765 | 0.7271 |
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| 0.0846 | 24.0 | 600 | 0.7821 | 0.7287 |
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| 0.0846 | 28.0 | 700 | 0.7671 | 0.7180 |
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| 0.0846 | 32.0 | 800 | 0.7594 | 0.7180 |
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| 0.0846 | 36.0 | 900 | 0.7500 | 0.7165 |
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| 0.0713 | 40.0 | 1000 | 0.7351 | 0.7287 |
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| 0.0713 | 44.0 | 1100 | 0.7361 | 0.7241 |
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| 0.0713 | 48.0 | 1200 | 0.7389 | 0.7378 |
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| 0.0713 | 52.0 | 1300 | 0.7424 | 0.7210 |
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| 0.0713 | 56.0 | 1400 | 0.7425 | 0.7256 |
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| 0.0669 | 60.0 | 1500 | 0.7426 | 0.7256 |
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### Framework versions
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- Transformers 4.11.3
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