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README.md
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---
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language:
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- id
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- rouge
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model-index:
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- name: liputan6-seq_bn-rf16
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: id_liputan6 canonical
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type: id_liputan6
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config: canonical
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split: validation
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args: canonical
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metrics:
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- name: Rouge1
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type: rouge
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value: 27.6391
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# liputan6-seq_bn-rf16
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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
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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- Gen Len:
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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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### Framework versions
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- rouge
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model-index:
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- name: liputan6-seq_bn-rf16
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# liputan6-seq_bn-rf16
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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: 0.2554
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- Rouge1: 44.3826
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- Rouge2: 35.7034
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- Rougel: 40.7597
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- Rougelsum: 42.9985
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- Gen Len: 58.818
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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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| 0.9013 | 1.0 | 63 | 0.3600 | 40.5674 | 32.5892 | 37.7471 | 39.1368 | 46.887 |
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| 0.4754 | 2.0 | 126 | 0.2958 | 43.3031 | 34.5149 | 39.7514 | 41.863 | 56.767 |
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| 0.3811 | 3.0 | 189 | 0.2629 | 43.4511 | 34.6775 | 39.9831 | 42.0606 | 57.898 |
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| 0.3317 | 4.0 | 252 | 0.2610 | 43.9259 | 35.2198 | 40.3143 | 42.5364 | 57.815 |
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| 0.299 | 5.0 | 315 | 0.2554 | 44.3826 | 35.7034 | 40.7597 | 42.9985 | 58.818 |
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### Framework versions
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adapter-summarization/pytorch_adapter.bin
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