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bart-base-vn-re-attention-vn-tokenizer

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Nov11_11-25-51_947bccbc6aa6/events.out.tfevents.1699725303.947bccbc6aa6.47.3 +2 -2
README.md CHANGED
@@ -17,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4519
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- - Rouge1: 18.1817
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- - Rouge2: 8.7791
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- - Rougel: 15.2006
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- - Rougelsum: 16.9658
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- - Bleu-1: 0.0045
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- - Bleu-2: 0.0027
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  - Bleu-3: 0.0013
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- - Bleu-4: 0.0005
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  - Gen Len: 20.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
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- |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
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- | 2.6623 | 1.0 | 10886 | 2.4519 | 18.1817 | 8.7791 | 15.2006 | 16.9658 | 0.0045 | 0.0027 | 0.0013 | 0.0005 | 20.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2930
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+ - Rouge1: 20.6719
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+ - Rouge2: 10.2292
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+ - Rougel: 16.6845
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+ - Rougelsum: 18.8602
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+ - Bleu-1: 0.0044
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+ - Bleu-2: 0.0026
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  - Bleu-3: 0.0013
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+ - Bleu-4: 0.0006
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  - Gen Len: 20.0
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  ## Model description
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
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+ | 2.4991 | 1.0 | 10886 | 2.2930 | 20.6719 | 10.2292 | 16.6845 | 18.8602 | 0.0044 | 0.0026 | 0.0013 | 0.0006 | 20.0 |
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  ### Framework versions
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