End of training
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README.md
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# results
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This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_17_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7078
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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:
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- train_batch_size:
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- eval_batch_size:
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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: linear
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 | 8 | 0.7078 |
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### Framework versions
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# results
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This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_17_0 dataset.
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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: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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_ratio: 0.08
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- num_epochs: 1
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 1 | 10.9618 |
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### Framework versions
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