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--- |
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license: mit |
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datasets: |
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- id_liputan6 |
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language: |
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- id |
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metrics: |
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- rouge |
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pipeline_tag: summarization |
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tags: |
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- bart |
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- text2text-generation |
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--- |
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# bart-indo-small |
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This model is a fine-tuned version of [bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on [Liputan6](https://paperswithcode.com/dataset/liputan6) dataset. |
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## Training procedure |
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### Training hyperparameters |
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- learning_rate: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure | |
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|:-------------:|:-----:|:-----:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:| |
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| 0.2443 | 1.0 | 48000 | 0.3579 | 0.6416 | 0.4468 | 0.1163 | 0.2467 | 0.1551 | 0.3499 | 0.625 | 0.4359 | |
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## Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
