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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/Nov21_14-03-53_2b2837545a83/events.out.tfevents.1700598752.2b2837545a83.48.2 +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: 2.4495
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- - Rouge1: 20.9299
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- - Rouge2: 9.9527
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- - Rougel: 16.9316
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- - Rougelsum: 19.0324
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- - Bleu-1: 0.0038
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- - Bleu-2: 0.0023
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- - Bleu-3: 0.0012
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- - Bleu-4: 0.0006
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- - Gen Len: 19.9479
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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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- | 2.6639 | 1.0 | 10886 | 2.4495 | 20.9299 | 9.9527 | 16.9316 | 19.0324 | 0.0038 | 0.0023 | 0.0012 | 0.0006 | 19.9479 |
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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: 2.2903
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+ - Rouge1: 21.0633
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+ - Rouge2: 10.2178
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+ - Rougel: 17.0427
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+ - Rougelsum: 19.191
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+ - Bleu-1: 0.0042
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+ - Bleu-2: 0.0025
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+ - Bleu-3: 0.0013
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+ - Bleu-4: 0.0007
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+ - Gen Len: 19.9994
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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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+ | 2.4987 | 1.0 | 10886 | 2.2903 | 21.0633 | 10.2178 | 17.0427 | 19.191 | 0.0042 | 0.0025 | 0.0013 | 0.0007 | 19.9994 |
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  ### Framework versions
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