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End of training

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README.md CHANGED
@@ -16,9 +16,9 @@ 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: 0.2302
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- - Bleu Score: 73.8994
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- - Gen Len: 13.2
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  ## Model description
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@@ -43,13 +43,15 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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- | 0.4035 | 1.0 | 1047 | 0.2302 | 73.8994 | 13.2 |
 
 
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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: 0.2349
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+ - Bleu Score: 79.2125
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+ - Gen Len: 12.7933
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  ## Model description
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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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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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+ | 0.4686 | 1.0 | 838 | 0.2500 | 77.4621 | 12.8244 |
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+ | 0.1722 | 2.0 | 1676 | 0.2120 | 78.5608 | 12.7933 |
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+ | 0.0703 | 3.0 | 2514 | 0.2349 | 79.2125 | 12.7933 |
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  ### Framework versions
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