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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: mt5-small-finetuned-indonesian-text-summarization-v3 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# mt5-small-finetuned-indonesian-text-summarization-v3 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7499 |
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- Rouge1: 63.8193 |
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- Rouge2: 58.2187 |
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- Rougel: 63.1123 |
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- Rougelsum: 63.2782 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.2426 | 1.0 | 1783 | 0.8618 | 62.2558 | 56.8185 | 61.5786 | 61.6898 | |
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| 0.9017 | 2.0 | 3566 | 0.7946 | 62.8862 | 57.2359 | 62.151 | 62.3178 | |
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| 0.7717 | 3.0 | 5349 | 0.7633 | 63.2898 | 57.6478 | 62.552 | 62.7381 | |
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| 0.7093 | 4.0 | 7132 | 0.7402 | 63.6899 | 58.0258 | 62.9883 | 63.137 | |
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| 0.6815 | 5.0 | 8915 | 0.7499 | 63.8193 | 58.2187 | 63.1123 | 63.2782 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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