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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_45767 |
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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_45767 |
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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: 2.4588 |
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- Rouge1: 34.0971 |
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- Rouge2: 11.6678 |
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- Rougel: 20.9389 |
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- Rougelsum: 31.6394 |
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- Gen Len: 126.6667 |
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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: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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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 | 47 | 2.6271 | 33.2283 | 9.8941 | 19.1924 | 30.4729 | 126.1097 | |
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| No log | 2.0 | 95 | 2.5692 | 34.2858 | 10.6816 | 20.0299 | 31.4449 | 126.3122 | |
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| No log | 2.99 | 142 | 2.5355 | 33.7958 | 10.5765 | 20.2505 | 31.1959 | 126.3797 | |
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| No log | 4.0 | 190 | 2.5069 | 33.9743 | 10.8243 | 20.5625 | 31.5943 | 127.0 | |
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| No log | 4.99 | 237 | 2.4948 | 34.3448 | 11.0631 | 20.7157 | 31.8031 | 126.8143 | |
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| No log | 6.0 | 285 | 2.4850 | 34.3003 | 11.2431 | 20.8124 | 31.6921 | 126.7722 | |
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| No log | 6.99 | 332 | 2.4732 | 34.4809 | 11.2159 | 20.887 | 31.8901 | 126.4641 | |
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| No log | 8.0 | 380 | 2.4653 | 34.4969 | 11.2692 | 20.9618 | 31.9055 | 126.8312 | |
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| No log | 8.99 | 427 | 2.4620 | 34.103 | 11.3392 | 20.7891 | 31.5918 | 126.6709 | |
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| No log | 10.0 | 475 | 2.4598 | 34.3248 | 11.7302 | 21.0723 | 31.8667 | 126.6878 | |
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| 2.7898 | 10.88 | 517 | 2.4588 | 34.0971 | 11.6678 | 20.9389 | 31.6394 | 126.6667 | |
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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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