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@@ -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 [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.2050
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- - Rouge1: 19.886
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- - Rouge2: 6.0542
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- - Rougel: 16.8703
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- - Rougelsum: 18.2573
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- - Gen Len: 30.875
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  ## Model description
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@@ -49,15 +49,17 @@ 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: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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- | 3.7824 | 1.0 | 63 | 3.8225 | 16.8681 | 5.1649 | 14.9393 | 15.6881 | 31.998 |
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- | 2.0598 | 2.0 | 126 | 3.8557 | 18.6028 | 5.9301 | 15.9454 | 17.1143 | 38.822 |
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- | 0.945 | 3.0 | 189 | 4.2050 | 19.886 | 6.0542 | 16.8703 | 18.2573 | 30.875 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4266
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+ - Rouge1: 17.698
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+ - Rouge2: 4.7021
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+ - Rougel: 14.8138
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+ - Rougelsum: 16.3595
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+ - Gen Len: 31.108
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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: 5.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 3.8271 | 1.0 | 63 | 3.9787 | 14.5233 | 4.127 | 12.7611 | 13.5205 | 47.473 |
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+ | 2.2739 | 2.0 | 126 | 4.1316 | 15.9563 | 4.7752 | 13.8242 | 14.8005 | 44.229 |
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+ | 1.2999 | 3.0 | 189 | 4.4850 | 17.2932 | 4.6352 | 14.8582 | 16.1555 | 33.112 |
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+ | 0.6423 | 4.0 | 252 | 4.9200 | 17.5707 | 4.9772 | 14.949 | 16.1838 | 36.399 |
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+ | 0.2536 | 5.0 | 315 | 5.4266 | 17.698 | 4.7021 | 14.8138 | 16.3595 | 31.108 |
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  ### Framework versions