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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-lora-8
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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: 29.078
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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-lora-8
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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-lora-8
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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-lora-8
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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: 0.2389
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- Rouge1: 42.5107
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- Rouge2: 33.6017
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- Rougel: 39.0118
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- Rougelsum: 41.0601
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- Gen Len: 55.005
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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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| 1.4611 | 1.0 | 63 | 0.4168 | 20.2294 | 15.1672 | 18.3462 | 19.5551 | 26.342 |
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| 0.6123 | 2.0 | 126 | 0.3030 | 42.4943 | 33.9837 | 39.042 | 40.9843 | 54.709 |
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| 0.4836 | 3.0 | 189 | 0.2516 | 39.2983 | 30.3972 | 36.1696 | 37.7681 | 48.258 |
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| 0.4256 | 4.0 | 252 | 0.2482 | 42.8202 | 33.9496 | 39.2137 | 41.343 | 54.56 |
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| 0.4014 | 5.0 | 315 | 0.2389 | 42.5107 | 33.6017 | 39.0118 | 41.0601 | 55.005 |
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### Framework versions
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adapter-summarization/pytorch_adapter.bin
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