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update model card README.md
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README.md
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#
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This model was trained from scratch on the librispeech_asr 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.
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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: 500
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### Training results
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### Framework versions
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#
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This model was trained from scratch on the librispeech_asr dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.3545
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- Wer: 2.0381
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 500
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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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| 6.8938 | 0.28 | 500 | 7.0277 | 1.0 |
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| 6.74 | 0.56 | 1000 | 6.9885 | 2.0097 |
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| 6.5927 | 0.84 | 1500 | 7.3545 | 2.0381 |
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### Framework versions
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