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README.md
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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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- eval_runtime: 54.0563
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- eval_samples_per_second: 5.272
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- eval_steps_per_second: 0.666
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- epoch: 25.25
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- step: 5000
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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: 1000
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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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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: 0.4338
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- Wer: 0.2313
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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: 1000
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- num_epochs: 20
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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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| 3.6839 | 2.53 | 500 | 2.7287 | 1.0 |
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| 0.8708 | 5.05 | 1000 | 0.5004 | 0.3490 |
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| 0.2879 | 7.58 | 1500 | 0.4411 | 0.2872 |
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| 0.1877 | 10.1 | 2000 | 0.4359 | 0.2594 |
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| 0.1617 | 12.63 | 2500 | 0.4404 | 0.2492 |
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| 0.1295 | 15.15 | 3000 | 0.4356 | 0.2418 |
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| 0.1146 | 17.68 | 3500 | 0.4338 | 0.2313 |
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### Framework versions
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- Transformers 4.11.3
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