---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: DanSumT5-baseV_13284V_36974V_40973
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DanSumT5-baseV_13284V_36974V_40973

This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_13284V_36974](https://huggingface.co/emilstabil/DanSumT5-baseV_13284V_36974) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0844
- Rouge1: 34.7659
- Rouge2: 12.0539
- Rougel: 21.7003
- Rougelsum: 32.4346
- Gen Len: 125.7257

## 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: 1e-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   | 2.0942          | 34.8616 | 12.1787 | 21.938  | 32.7257   | 125.2743 |
| No log        | 1.99  | 158  | 2.0948          | 35.2673 | 12.4538 | 22.1361 | 33.0224   | 125.4852 |
| No log        | 2.99  | 237  | 2.0952          | 34.9658 | 12.3838 | 21.8458 | 32.7172   | 125.4684 |
| No log        | 4.0   | 317  | 2.0912          | 35.0599 | 12.2917 | 22.056  | 32.8679   | 125.789  |
| No log        | 5.0   | 396  | 2.0928          | 34.8244 | 12.177  | 21.7107 | 32.5448   | 125.7342 |
| No log        | 5.99  | 475  | 2.0921          | 34.9628 | 12.0905 | 21.9328 | 32.6944   | 125.7384 |
| 1.9703        | 6.99  | 554  | 2.0894          | 35.2438 | 12.2584 | 22.0919 | 32.8896   | 125.6118 |
| 1.9703        | 8.0   | 634  | 2.0880          | 35.0228 | 12.0681 | 21.9121 | 32.6604   | 125.7848 |
| 1.9703        | 9.0   | 713  | 2.0864          | 34.9607 | 12.0556 | 21.8096 | 32.5884   | 125.6751 |
| 1.9703        | 9.99  | 792  | 2.0849          | 34.7755 | 12.0721 | 21.7294 | 32.4555   | 125.7215 |
| 1.9703        | 10.97 | 869  | 2.0844          | 34.7659 | 12.0539 | 21.7003 | 32.4346   | 125.7257 |


### Framework versions

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