---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: DanSumT5-smallV_55565
  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-smallV_55565

This model is a fine-tuned version of [Danish-summarisation/DanSumT5-small](https://huggingface.co/Danish-summarisation/DanSumT5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6152
- Rouge1: 33.2076
- Rouge2: 9.7687
- Rougel: 19.2885
- Rougelsum: 30.5358
- Gen Len: 125.4515

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


### Framework versions

- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3