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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: DanSumT5-baseV_13284
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DanSumT5-baseV_13284
This model is a fine-tuned version of [Danish-summarisation/DanSumT5-base](https://huggingface.co/Danish-summarisation/DanSumT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1319
- Rouge1: 35.2058
- Rouge2: 12.1135
- Rougel: 21.6618
- Rougelsum: 32.8934
- Gen Len: 126.0886
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log | 1.0 | 79 | 2.3128 | 34.7969 | 11.1114 | 20.8903 | 32.1296 | 126.6498 |
| No log | 1.99 | 158 | 2.2512 | 34.3376 | 11.0094 | 20.9527 | 31.8295 | 126.1814 |
| No log | 2.99 | 237 | 2.2146 | 34.5001 | 11.243 | 21.2132 | 32.0835 | 125.6414 |
| No log | 4.0 | 317 | 2.1870 | 34.4934 | 11.3886 | 21.2659 | 32.0469 | 126.2363 |
| No log | 5.0 | 396 | 2.1727 | 34.6363 | 11.6697 | 21.4659 | 32.265 | 125.1603 |
| No log | 5.99 | 475 | 2.1546 | 35.0057 | 11.9113 | 21.6419 | 32.6246 | 126.1013 |
| 2.4212 | 6.99 | 554 | 2.1495 | 34.9084 | 11.687 | 21.4079 | 32.5251 | 126.1899 |
| 2.4212 | 8.0 | 634 | 2.1394 | 34.734 | 11.7723 | 21.6721 | 32.4648 | 125.6034 |
| 2.4212 | 9.0 | 713 | 2.1370 | 35.123 | 12.1411 | 21.903 | 32.7572 | 125.9114 |
| 2.4212 | 9.99 | 792 | 2.1326 | 35.3626 | 12.2672 | 21.6881 | 33.071 | 126.1013 |
| 2.4212 | 10.97 | 869 | 2.1319 | 35.2058 | 12.1135 | 21.6618 | 32.8934 | 126.0886 |
### Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3
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