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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-largeV_38143 |
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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-largeV_38143 |
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This model is a fine-tuned version of [Danish-summarisation/DanSumT5-large](https://huggingface.co/Danish-summarisation/DanSumT5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9493 |
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- Rouge1: 36.0009 |
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- Rouge2: 12.4957 |
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- Rougel: 22.4757 |
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- Rougelsum: 33.603 |
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- Gen Len: 125.1519 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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 | 0.99 | 118 | 2.1442 | 34.5887 | 11.0101 | 20.7128 | 32.0179 | 126.1603 | |
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| No log | 2.0 | 237 | 2.0645 | 34.9243 | 11.2939 | 21.4174 | 32.5111 | 125.7342 | |
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| No log | 3.0 | 356 | 2.0220 | 35.3258 | 11.7644 | 21.6971 | 32.9952 | 125.3713 | |
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| No log | 4.0 | 475 | 1.9962 | 35.4098 | 11.883 | 21.6822 | 33.0259 | 124.7553 | |
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| 2.2257 | 4.99 | 593 | 1.9807 | 36.0239 | 12.4173 | 22.5759 | 33.6794 | 125.038 | |
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| 2.2257 | 6.0 | 712 | 1.9656 | 35.847 | 12.3976 | 22.3612 | 33.5817 | 125.1646 | |
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| 2.2257 | 7.0 | 831 | 1.9606 | 35.6499 | 12.1119 | 22.3208 | 33.3221 | 124.6751 | |
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| 2.2257 | 8.0 | 950 | 1.9533 | 35.6641 | 12.3948 | 22.4477 | 33.3256 | 124.6878 | |
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| 1.9052 | 8.99 | 1068 | 1.9559 | 35.7509 | 12.4988 | 22.6593 | 33.4865 | 124.4937 | |
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| 1.9052 | 10.0 | 1187 | 1.9508 | 35.9176 | 12.548 | 22.6092 | 33.6489 | 125.0295 | |
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| 1.9052 | 10.93 | 1298 | 1.9493 | 36.0009 | 12.4957 | 22.4757 | 33.603 | 125.1519 | |
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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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