---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: DanSumT5-largeV_38143
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DanSumT5-largeV_38143

This model is a fine-tuned version of [Danish-summarisation/DanSumT5-large](https://huggingface.co/Danish-summarisation/DanSumT5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9493
- Rouge1: 36.0009
- Rouge2: 12.4957
- Rougel: 22.4757
- Rougelsum: 33.603
- Gen Len: 125.1519

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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        | 0.99  | 118  | 2.1442          | 34.5887 | 11.0101 | 20.7128 | 32.0179   | 126.1603 |
| No log        | 2.0   | 237  | 2.0645          | 34.9243 | 11.2939 | 21.4174 | 32.5111   | 125.7342 |
| No log        | 3.0   | 356  | 2.0220          | 35.3258 | 11.7644 | 21.6971 | 32.9952   | 125.3713 |
| No log        | 4.0   | 475  | 1.9962          | 35.4098 | 11.883  | 21.6822 | 33.0259   | 124.7553 |
| 2.2257        | 4.99  | 593  | 1.9807          | 36.0239 | 12.4173 | 22.5759 | 33.6794   | 125.038  |
| 2.2257        | 6.0   | 712  | 1.9656          | 35.847  | 12.3976 | 22.3612 | 33.5817   | 125.1646 |
| 2.2257        | 7.0   | 831  | 1.9606          | 35.6499 | 12.1119 | 22.3208 | 33.3221   | 124.6751 |
| 2.2257        | 8.0   | 950  | 1.9533          | 35.6641 | 12.3948 | 22.4477 | 33.3256   | 124.6878 |
| 1.9052        | 8.99  | 1068 | 1.9559          | 35.7509 | 12.4988 | 22.6593 | 33.4865   | 124.4937 |
| 1.9052        | 10.0  | 1187 | 1.9508          | 35.9176 | 12.548  | 22.6092 | 33.6489   | 125.0295 |
| 1.9052        | 10.93 | 1298 | 1.9493          | 36.0009 | 12.4957 | 22.4757 | 33.603    | 125.1519 |


### Framework versions

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