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bartpho-syllable-base-ceg-pair-lexnorm-wiki20k

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  1. README.md +16 -16
  2. logs/events.out.tfevents.1703225673.7ef99d7abd89.599.1 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0441
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- - Rouge1: 83.8906
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- - Rouge2: 76.8215
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- - Rougel: 83.4733
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- - Rougelsum: 83.4783
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- - Gen Len: 14.9751
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 0.1329 | 1.0 | 625 | 0.0572 | 80.5125 | 71.817 | 80.0125 | 79.9934 | 14.9828 |
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- | 0.0424 | 2.0 | 1250 | 0.0447 | 81.8041 | 73.7589 | 81.3035 | 81.2949 | 14.8986 |
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- | 0.0253 | 3.0 | 1875 | 0.0449 | 82.4467 | 74.7259 | 81.9169 | 81.906 | 15.0067 |
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- | 0.0167 | 4.0 | 2500 | 0.0427 | 83.3339 | 76.0786 | 82.8455 | 82.8229 | 15.0010 |
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- | 0.0116 | 5.0 | 3125 | 0.0444 | 83.4771 | 76.234 | 83.0177 | 83.008 | 15.0144 |
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- | 0.0082 | 6.0 | 3750 | 0.0438 | 83.6459 | 76.467 | 83.2461 | 83.2372 | 14.9933 |
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- | 0.0061 | 7.0 | 4375 | 0.0440 | 83.699 | 76.5119 | 83.3283 | 83.3175 | 14.9684 |
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- | 0.0047 | 8.0 | 5000 | 0.0447 | 83.7618 | 76.6774 | 83.346 | 83.3564 | 14.9349 |
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- | 0.0038 | 9.0 | 5625 | 0.0436 | 83.9239 | 76.845 | 83.4885 | 83.5062 | 14.9732 |
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- | 0.0032 | 10.0 | 6250 | 0.0441 | 83.8906 | 76.8215 | 83.4733 | 83.4783 | 14.9751 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0408
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+ - Rouge1: 84.3157
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+ - Rouge2: 77.3019
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+ - Rougel: 83.8705
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+ - Rougelsum: 83.8558
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+ - Gen Len: 15.0248
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.1329 | 1.0 | 625 | 0.0553 | 80.5353 | 71.5638 | 80.1035 | 80.1039 | 15.0790 |
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+ | 0.0424 | 2.0 | 1250 | 0.0423 | 82.2298 | 74.0725 | 81.7495 | 81.7617 | 14.9752 |
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+ | 0.0253 | 3.0 | 1875 | 0.0423 | 82.9736 | 75.0608 | 82.4352 | 82.4329 | 15.0762 |
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+ | 0.0167 | 4.0 | 2500 | 0.0396 | 83.3918 | 75.9135 | 82.8826 | 82.8858 | 15.0610 |
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+ | 0.0116 | 5.0 | 3125 | 0.0415 | 83.4002 | 76.079 | 82.8948 | 82.9143 | 15.0714 |
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+ | 0.0082 | 6.0 | 3750 | 0.0403 | 83.7144 | 76.3254 | 83.2485 | 83.2335 | 15.0238 |
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+ | 0.0061 | 7.0 | 4375 | 0.0408 | 83.6799 | 76.3557 | 83.2511 | 83.265 | 15.0324 |
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+ | 0.0047 | 8.0 | 5000 | 0.0415 | 84.1614 | 77.0332 | 83.6674 | 83.6623 | 15.0124 |
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+ | 0.0038 | 9.0 | 5625 | 0.0404 | 84.2497 | 77.2485 | 83.7718 | 83.7791 | 15.0352 |
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+ | 0.0032 | 10.0 | 6250 | 0.0408 | 84.3157 | 77.3019 | 83.8705 | 83.8558 | 15.0248 |
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  ### Framework versions
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