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End of training

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README.md CHANGED
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [VietAI/ViT5-base](https://huggingface.co/VietAI/ViT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2258
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- - Bleu Score: 74.0954
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- - Gen Len: 13.1876
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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 Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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- | 0.4338 | 1.0 | 524 | 0.2258 | 74.0954 | 13.1876 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [VietAI/ViT5-base](https://huggingface.co/VietAI/ViT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2269
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+ - Bleu Score: 73.5439
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+ - Gen Len: 13.199
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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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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  - 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 Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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+ | 0.46 | 1.0 | 262 | 0.2269 | 73.5439 | 13.199 |
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  ### Framework versions
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