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Training complete

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  1. README.md +12 -14
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2603
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- - Sacrebleu: 13.8971
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 20
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- - eval_batch_size: 20
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 80
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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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- - num_epochs: 8
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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- | No log | 0.96 | 12 | 0.7531 | 10.4358 |
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- | No log | 2.0 | 25 | 0.7129 | 10.4963 |
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- | No log | 2.96 | 37 | 0.4248 | 11.1595 |
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- | No log | 4.0 | 50 | 0.3501 | 11.6392 |
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- | No log | 4.96 | 62 | 0.3043 | 12.6744 |
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- | No log | 6.0 | 75 | 0.2758 | 13.4012 |
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- | No log | 6.96 | 87 | 0.2629 | 13.7842 |
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- | No log | 7.68 | 96 | 0.2603 | 13.8971 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0561
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+ - Sacrebleu: 22.9297
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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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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+ - num_epochs: 5
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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 | Sacrebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | No log | 1.0 | 104 | 0.0988 | 17.3540 |
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+ | No log | 2.0 | 208 | 0.0661 | 21.5130 |
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+ | No log | 3.0 | 312 | 0.0593 | 22.4272 |
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+ | No log | 4.0 | 416 | 0.0564 | 22.8821 |
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+ | No log | 5.0 | 520 | 0.0561 | 22.9297 |
 
 
 
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  ### Framework versions