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

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Nov17_12-52-13_04c7a4c1b93f/events.out.tfevents.1700249411.04c7a4c1b93f.47.2 +2 -2
README.md CHANGED
@@ -17,16 +17,16 @@ 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: 2.4465
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- - Rouge1: 15.6909
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- - Rouge2: 7.844
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- - Rougel: 13.4772
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- - Rougelsum: 14.7474
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- - Bleu-1: 0.0015
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- - Bleu-2: 0.001
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- - Bleu-3: 0.0006
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- - Bleu-4: 0.0003
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- - Gen Len: 19.9996
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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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- | 2.6582 | 1.0 | 10886 | 2.4465 | 15.6909 | 7.844 | 13.4772 | 14.7474 | 0.0015 | 0.001 | 0.0006 | 0.0003 | 19.9996 |
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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: 2.2881
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+ - Rouge1: 11.9446
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+ - Rouge2: 5.59
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+ - Rougel: 10.7
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+ - Rougelsum: 11.2766
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+ - Bleu-1: 0.0005
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+ - Bleu-2: 0.0003
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+ - Bleu-3: 0.0002
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+ - Bleu-4: 0.0001
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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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+ | 2.4938 | 1.0 | 10886 | 2.2881 | 11.9446 | 5.59 | 10.7 | 11.2766 | 0.0005 | 0.0003 | 0.0002 | 0.0001 | 20.0 |
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  ### Framework versions
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