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liputan6-lora-16

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  1. README.md +13 -28
  2. adapter-summarization/pytorch_adapter.bin +1 -1
README.md CHANGED
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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-16
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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: 28.4262
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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-16
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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 canonical dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6574
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- - Rouge1: 28.4262
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- - Rouge2: 12.9627
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- - Rougel: 24.3479
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- - Rougelsum: 26.1183
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- - Gen Len: 37.115
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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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- | 2.9434 | 1.0 | 63 | 2.6951 | 25.6796 | 11.0701 | 22.1424 | 23.2849 | 35.404 |
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- | 2.3008 | 2.0 | 126 | 2.6542 | 27.4005 | 12.0574 | 23.6657 | 25.1251 | 35.768 |
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- | 2.1668 | 3.0 | 189 | 2.6101 | 28.0403 | 12.2713 | 23.9451 | 25.7556 | 32.749 |
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- | 2.0618 | 4.0 | 252 | 2.6574 | 28.5562 | 12.5992 | 24.2399 | 26.2278 | 32.931 |
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- | 2.0036 | 5.0 | 315 | 2.6616 | 28.2024 | 12.3241 | 23.9228 | 25.9287 | 33.644 |
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  ### Framework versions
 
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  ---
 
 
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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-16
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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-16
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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: 0.2211
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+ - Rouge1: 41.3186
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+ - Rouge2: 32.0318
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+ - Rougel: 37.7094
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+ - Rougelsum: 39.8931
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+ - Gen Len: 54.221
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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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+ | 1.2779 | 1.0 | 63 | 0.3734 | 40.6247 | 32.4945 | 37.6262 | 39.2634 | 52.145 |
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+ | 0.533 | 2.0 | 126 | 0.2652 | 42.9261 | 34.4419 | 39.4137 | 41.4698 | 53.098 |
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+ | 0.4176 | 3.0 | 189 | 0.2285 | 40.0567 | 30.7942 | 36.765 | 38.66 | 50.993 |
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+ | 0.364 | 4.0 | 252 | 0.2309 | 42.2149 | 33.065 | 38.5226 | 40.8353 | 55.49 |
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+ | 0.3343 | 5.0 | 315 | 0.2211 | 41.3186 | 32.0318 | 37.7094 | 39.8931 | 54.221 |
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  ### Framework versions
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