---
license: apache-2.0
base_model: emilstabil/DanSumT5-baseV_38821V_41166
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: DanSumT5-baseV_38821V_41166V_66047
  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_38821V_41166V_66047

This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_38821V_41166](https://huggingface.co/emilstabil/DanSumT5-baseV_38821V_41166) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1990
- Rouge1: 36.0404
- Rouge2: 12.6764
- Rougel: 22.071
- Rougelsum: 28.8826
- Gen Len: 125.7597

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 232  | 2.1564          | 34.9765 | 12.317  | 22.0495 | 28.0706   | 126.1974 |
| No log        | 2.0   | 465  | 2.1556          | 35.1549 | 12.0372 | 21.909  | 28.1749   | 126.4721 |
| 1.8468        | 3.0   | 697  | 2.1567          | 35.5068 | 12.2877 | 22.3354 | 28.495    | 126.0987 |
| 1.8468        | 4.0   | 930  | 2.1524          | 35.5106 | 12.2834 | 22.0562 | 28.154    | 126.3863 |
| 1.7638        | 5.0   | 1162 | 2.1675          | 35.4676 | 12.5524 | 22.5308 | 28.6412   | 125.3648 |
| 1.7638        | 6.0   | 1395 | 2.1637          | 35.4733 | 12.2594 | 22.1365 | 28.4636   | 125.8884 |
| 1.7082        | 7.0   | 1627 | 2.1771          | 35.6859 | 12.5372 | 22.4273 | 28.6912   | 125.4807 |
| 1.7082        | 8.0   | 1860 | 2.1809          | 35.3696 | 12.3894 | 22.1246 | 28.1085   | 125.3734 |
| 1.6599        | 9.0   | 2092 | 2.1828          | 35.2528 | 12.3629 | 22.1104 | 28.1709   | 126.2189 |
| 1.6599        | 10.0  | 2325 | 2.1852          | 35.2601 | 12.1863 | 21.9823 | 28.1476   | 125.5365 |
| 1.6125        | 11.0  | 2557 | 2.1903          | 35.1649 | 12.0801 | 21.883  | 27.82     | 125.3305 |
| 1.6125        | 12.0  | 2790 | 2.1863          | 35.2341 | 12.0505 | 21.6645 | 28.1187   | 125.6953 |
| 1.5957        | 13.0  | 3022 | 2.1921          | 35.5287 | 12.4581 | 22.0277 | 28.6527   | 125.97   |
| 1.5957        | 14.0  | 3255 | 2.2085          | 35.7979 | 12.3305 | 22.0783 | 28.6627   | 125.412  |
| 1.5957        | 15.0  | 3487 | 2.1962          | 35.7095 | 12.5406 | 21.81   | 28.299    | 126.3133 |
| 1.5708        | 16.0  | 3720 | 2.1932          | 35.5116 | 12.3365 | 22.0461 | 28.4349   | 125.9614 |
| 1.5708        | 17.0  | 3952 | 2.1985          | 35.3852 | 12.3385 | 21.9544 | 28.3238   | 125.4034 |
| 1.5644        | 18.0  | 4185 | 2.1987          | 35.4105 | 12.2686 | 22.0002 | 28.287    | 125.073  |
| 1.5644        | 19.0  | 4417 | 2.1996          | 35.7954 | 12.5156 | 22.198  | 28.5893   | 124.9099 |
| 1.5446        | 19.96 | 4640 | 2.1990          | 36.0404 | 12.6764 | 22.071  | 28.8826   | 125.7597 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.3