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# DanSumT5-smallV_59491

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: 2.4715
- Rouge1: 34.3324
- Rouge2: 11.2932
- Rougel: 20.8529
- Rougelsum: 31.803
- Gen Len: 126.0591

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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        | 0.97  | 29   | 2.6350          | 32.3407 | 9.3733  | 18.8907 | 29.6731   | 126.4726 |
| No log        | 1.98  | 59   | 2.5732          | 33.2864 | 10.0998 | 19.4234 | 30.5031   | 126.5021 |
| No log        | 2.99  | 89   | 2.5433          | 34.0216 | 10.7327 | 20.0836 | 31.3728   | 125.9873 |
| No log        | 4.0   | 119  | 2.5209          | 34.1794 | 10.8803 | 20.414  | 31.4901   | 126.654  |
| No log        | 4.97  | 148  | 2.5065          | 34.1598 | 10.9122 | 20.5029 | 31.5882   | 126.443  |
| No log        | 5.98  | 178  | 2.4942          | 34.3057 | 10.8906 | 20.6468 | 31.628    | 126.8354 |
| No log        | 6.99  | 208  | 2.4843          | 34.2147 | 10.9465 | 20.4998 | 31.5286   | 126.3418 |
| No log        | 8.0   | 238  | 2.4768          | 34.3636 | 11.2347 | 20.6723 | 31.7775   | 126.3165 |
| No log        | 8.97  | 267  | 2.4736          | 34.1256 | 11.3376 | 20.6823 | 31.6962   | 126.2447 |
| No log        | 9.98  | 297  | 2.4718          | 34.3458 | 11.2773 | 20.8056 | 31.8051   | 125.9789 |
| No log        | 10.72 | 319  | 2.4715          | 34.3324 | 11.2932 | 20.8529 | 31.803    | 126.0591 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "DanSumT5-smallV_59491", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us