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update model card README.md
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README.md
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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: 4.
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- Wer: 1.
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## Model description
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- train_batch_size: 12
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- eval_batch_size: 12
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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 Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 4.311 | 0.84 | 1000 | 4.2585 | 1.9292 |
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### Framework versions
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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: 4.3857
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- Wer: 1.9209
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## Model description
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 48
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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 Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 4.3519 | 0.84 | 500 | 4.3857 | 1.9209 |
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### Framework versions
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