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--- |
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license: apache-2.0 |
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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: nb-mt5-base-finetuned-no-email-summary |
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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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# nb-mt5-base-finetuned-no-email-summary |
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This model is a fine-tuned version of [NbAiLab/nb-mt5-base](https://huggingface.co/NbAiLab/nb-mt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0562 |
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- Rouge1: 23.2345 |
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- Rouge2: 9.8761 |
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- Rougel: 21.7798 |
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- Rougelsum: 21.7753 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 8 |
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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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| 13.949 | 1.0 | 785 | 7.1715 | 2.2238 | 0.0 | 2.2256 | 2.2308 | |
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| 7.0892 | 2.0 | 1570 | 5.8052 | 12.5372 | 3.2395 | 12.1514 | 12.1407 | |
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| 5.9863 | 3.0 | 2355 | 5.0910 | 18.7517 | 6.61 | 17.5784 | 17.6163 | |
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| 5.3048 | 4.0 | 3140 | 4.6418 | 19.8868 | 7.6496 | 18.5489 | 18.5228 | |
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| 4.8419 | 5.0 | 3925 | 4.3614 | 19.7772 | 7.714 | 18.6827 | 18.6603 | |
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| 4.5517 | 6.0 | 4710 | 4.1811 | 22.1143 | 8.8939 | 20.6157 | 20.6484 | |
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| 4.3651 | 7.0 | 5495 | 4.0683 | 22.7613 | 9.6087 | 21.2802 | 21.297 | |
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| 4.2712 | 8.0 | 6280 | 4.0562 | 23.2345 | 9.8761 | 21.7798 | 21.7753 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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