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ViNormT5

Text2Text Generation
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t5
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text-generation-inference
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End of training

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  1. README.md +11 -10
  2. logs/events.out.tfevents.1727528367.f41cea15f6e1.2276.1 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,12 +19,12 @@ 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: 0.2349
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- - Bleu Score: 79.18
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- - Precision: 56.1529
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- - Recall: 56.1529
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- - Gen Len: 12.7933
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- - Err: 56.1529
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  ## Model description
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@@ -49,15 +49,16 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
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- | 0.4686 | 1.0 | 838 | 0.2500 | 77.4389 | 50.1792 | 50.1792 | 12.8244 | 50.1792 |
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- | 0.1722 | 2.0 | 1676 | 0.2120 | 78.5311 | 54.1219 | 54.1219 | 12.7933 | 54.1219 |
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- | 0.0703 | 3.0 | 2514 | 0.2349 | 79.18 | 56.1529 | 56.1529 | 12.7933 | 56.1529 |
 
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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: 0.2594
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+ - Bleu Score: 79.8663
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+ - Precision: 58.4229
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+ - Recall: 58.4229
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+ - Gen Len: 12.7658
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+ - Err: 58.4229
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
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+ | 0.4715 | 1.0 | 838 | 0.2451 | 76.8709 | 49.1039 | 49.1039 | 12.8781 | 49.1039 |
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+ | 0.1802 | 2.0 | 1676 | 0.2337 | 78.3434 | 53.8829 | 53.8829 | 12.7861 | 53.8829 |
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+ | 0.081 | 3.0 | 2514 | 0.2327 | 79.3197 | 56.1529 | 56.1529 | 12.7706 | 56.1529 |
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+ | 0.0365 | 4.0 | 3352 | 0.2594 | 79.8663 | 58.4229 | 58.4229 | 12.7658 | 58.4229 |
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  ### Framework versions
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