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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_55565 |
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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_55565 |
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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: 2.6152 |
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- Rouge1: 33.2076 |
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- Rouge2: 9.7687 |
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- Rougel: 19.2885 |
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- Rougelsum: 30.5358 |
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- Gen Len: 125.4515 |
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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: 80 |
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- eval_batch_size: 80 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 320 |
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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 | 1.0 | 6 | 2.7915 | 28.1925 | 6.0798 | 16.0171 | 25.4406 | 117.8734 | |
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| No log | 2.0 | 12 | 2.7309 | 30.7001 | 7.8441 | 17.6277 | 28.1658 | 123.7384 | |
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| No log | 3.0 | 18 | 2.6932 | 31.9139 | 8.8623 | 18.4491 | 29.2043 | 125.2321 | |
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| No log | 4.0 | 24 | 2.6673 | 32.1541 | 9.2757 | 18.7349 | 29.3827 | 125.1941 | |
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| No log | 5.0 | 30 | 2.6506 | 32.6317 | 9.6369 | 18.9798 | 30.0012 | 125.6034 | |
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| No log | 6.0 | 36 | 2.6391 | 32.7076 | 9.7264 | 18.9488 | 29.9797 | 125.3376 | |
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| No log | 7.0 | 42 | 2.6307 | 32.9958 | 9.8324 | 19.0395 | 30.2766 | 125.0 | |
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| No log | 8.0 | 48 | 2.6241 | 33.2035 | 9.9866 | 19.1625 | 30.5136 | 125.2321 | |
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| No log | 9.0 | 54 | 2.6190 | 33.4626 | 10.076 | 19.2999 | 30.6955 | 125.4515 | |
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| No log | 10.0 | 60 | 2.6161 | 33.3145 | 9.9106 | 19.3186 | 30.6521 | 125.4515 | |
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| No log | 11.0 | 66 | 2.6152 | 33.2076 | 9.7687 | 19.2885 | 30.5358 | 125.4515 | |
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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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