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Prettified the md table

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  1. README.md +10 -10
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@@ -66,13 +66,13 @@ transcription = processor.batch_decode(predicted_ids)
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  In fine-tuning, the following arguments were used:
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- |arg | value|
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- |---|---|
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- |`group_by_length` |True |
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- | `per_device_train_batch_size`|16 |
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- |`gradient_accumulation_steps` |4 |
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- |`num_train_epochs` |8 |
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- |`gradient_checkpointing` |True |
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- |`fp16` |True |
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- |`learning_rate` | 3e-4|
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- |`warmup_steps` | 500|
 
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  In fine-tuning, the following arguments were used:
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+ | arg | value |
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+ |-------------------------------|-------|
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+ | `group_by_length` | True |
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+ | `per_device_train_batch_size` | 16 |
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+ | `gradient_accumulation_steps` | 4 |
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+ | `num_train_epochs` | 8 |
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+ | `gradient_checkpointing` | True |
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+ | `fp16` | True |
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+ | `learning_rate` | 3e-4 |
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+ | `warmup_steps` | 500 |