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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-baseV_13284 |
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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-baseV_13284 |
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This model is a fine-tuned version of [Danish-summarisation/DanSumT5-base](https://huggingface.co/Danish-summarisation/DanSumT5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1319 |
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- Rouge1: 35.2058 |
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- Rouge2: 12.1135 |
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- Rougel: 21.6618 |
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- Rougelsum: 32.8934 |
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- Gen Len: 126.0886 |
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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: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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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 | 79 | 2.3128 | 34.7969 | 11.1114 | 20.8903 | 32.1296 | 126.6498 | |
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| No log | 1.99 | 158 | 2.2512 | 34.3376 | 11.0094 | 20.9527 | 31.8295 | 126.1814 | |
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| No log | 2.99 | 237 | 2.2146 | 34.5001 | 11.243 | 21.2132 | 32.0835 | 125.6414 | |
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| No log | 4.0 | 317 | 2.1870 | 34.4934 | 11.3886 | 21.2659 | 32.0469 | 126.2363 | |
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| No log | 5.0 | 396 | 2.1727 | 34.6363 | 11.6697 | 21.4659 | 32.265 | 125.1603 | |
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| No log | 5.99 | 475 | 2.1546 | 35.0057 | 11.9113 | 21.6419 | 32.6246 | 126.1013 | |
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| 2.4212 | 6.99 | 554 | 2.1495 | 34.9084 | 11.687 | 21.4079 | 32.5251 | 126.1899 | |
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| 2.4212 | 8.0 | 634 | 2.1394 | 34.734 | 11.7723 | 21.6721 | 32.4648 | 125.6034 | |
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| 2.4212 | 9.0 | 713 | 2.1370 | 35.123 | 12.1411 | 21.903 | 32.7572 | 125.9114 | |
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| 2.4212 | 9.99 | 792 | 2.1326 | 35.3626 | 12.2672 | 21.6881 | 33.071 | 126.1013 | |
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| 2.4212 | 10.97 | 869 | 2.1319 | 35.2058 | 12.1135 | 21.6618 | 32.8934 | 126.0886 | |
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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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