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--- |
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license: apache-2.0 |
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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: DanSumT5-smallV_59491 |
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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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# DanSumT5-smallV_59491 |
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This model is a fine-tuned version of [Danish-summarisation/DanSumT5-small](https://huggingface.co/Danish-summarisation/DanSumT5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4715 |
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- Rouge1: 34.3324 |
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- Rouge2: 11.2932 |
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- Rougel: 20.8529 |
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- Rougelsum: 31.803 |
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- Gen Len: 126.0591 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 11 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
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| No log | 0.97 | 29 | 2.6350 | 32.3407 | 9.3733 | 18.8907 | 29.6731 | 126.4726 | |
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| No log | 1.98 | 59 | 2.5732 | 33.2864 | 10.0998 | 19.4234 | 30.5031 | 126.5021 | |
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| No log | 2.99 | 89 | 2.5433 | 34.0216 | 10.7327 | 20.0836 | 31.3728 | 125.9873 | |
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| No log | 4.0 | 119 | 2.5209 | 34.1794 | 10.8803 | 20.414 | 31.4901 | 126.654 | |
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| No log | 4.97 | 148 | 2.5065 | 34.1598 | 10.9122 | 20.5029 | 31.5882 | 126.443 | |
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| No log | 5.98 | 178 | 2.4942 | 34.3057 | 10.8906 | 20.6468 | 31.628 | 126.8354 | |
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| No log | 6.99 | 208 | 2.4843 | 34.2147 | 10.9465 | 20.4998 | 31.5286 | 126.3418 | |
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| No log | 8.0 | 238 | 2.4768 | 34.3636 | 11.2347 | 20.6723 | 31.7775 | 126.3165 | |
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| No log | 8.97 | 267 | 2.4736 | 34.1256 | 11.3376 | 20.6823 | 31.6962 | 126.2447 | |
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| No log | 9.98 | 297 | 2.4718 | 34.3458 | 11.2773 | 20.8056 | 31.8051 | 125.9789 | |
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| No log | 10.72 | 319 | 2.4715 | 34.3324 | 11.2932 | 20.8529 | 31.803 | 126.0591 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.12.1+git7548e2f |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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