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---
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license: mit
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tags:
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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: finetune-newwiki-summarization-ver2
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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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# finetune-newwiki-summarization-ver2
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This model is a fine-tuned version of [minnehwg/finetune-newwiki-summarization-ver1](https://huggingface.co/minnehwg/finetune-newwiki-summarization-ver1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4697
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- Rouge1: 48.1659
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- Rouge2: 25.1491
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- Rougel: 34.7794
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- Rougelsum: 37.0893
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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: 1e-06
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7
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- mixed_precision_training: Native AMP
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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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| 0.4912 | 1.0 | 990 | 0.4701 | 48.1754 | 25.0221 | 34.7613 | 37.0734 |
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| 0.4748 | 2.0 | 1980 | 0.4694 | 48.3629 | 25.3649 | 35.0239 | 37.3084 |
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| 0.4755 | 3.0 | 2970 | 0.4695 | 48.2770 | 25.1907 | 34.8456 | 37.1930 |
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| 0.4703 | 4.0 | 3960 | 0.4696 | 48.1801 | 25.1769 | 34.8004 | 37.0817 |
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| 0.468 | 5.0 | 4950 | 0.4697 | 48.1659 | 25.1491 | 34.7794 | 37.0893 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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