
<!-- 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-largeV_17400

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: 2.0810
- Rouge1: 36.0646
- Rouge2: 12.4066
- Rougel: 22.4673
- Rougelsum: 33.2078
- Gen Len: 123.5882

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 475  | 2.1203          | 34.1656 | 11.1331 | 21.1224 | 31.5873   | 125.4496 |
| 2.4202        | 2.0   | 950  | 2.0419          | 34.8716 | 11.7072 | 21.505  | 32.1799   | 125.6176 |
| 2.1028        | 3.0   | 1425 | 2.0042          | 35.4223 | 12.013  | 21.9284 | 32.6504   | 123.1345 |
| 1.9178        | 4.0   | 1901 | 1.9826          | 35.0313 | 11.7595 | 21.8848 | 32.3896   | 124.3319 |
| 1.7904        | 5.0   | 2376 | 1.9778          | 35.5915 | 12.0513 | 21.9645 | 32.7786   | 124.3697 |
| 1.6758        | 6.0   | 2851 | 1.9829          | 35.0434 | 11.7049 | 21.7988 | 32.2543   | 123.2269 |
| 1.5734        | 7.0   | 3326 | 1.9728          | 35.4344 | 12.0117 | 22.1228 | 32.7301   | 124.0504 |
| 1.5131        | 8.0   | 3802 | 1.9914          | 35.9572 | 12.3134 | 22.1358 | 33.316    | 123.5378 |
| 1.4325        | 9.0   | 4277 | 2.0006          | 35.6071 | 12.0835 | 22.0644 | 32.9752   | 124.2605 |
| 1.3839        | 10.0  | 4752 | 2.0073          | 35.6042 | 12.2947 | 22.4712 | 33.0487   | 122.1975 |
| 1.3156        | 11.0  | 5227 | 2.0149          | 35.8126 | 11.9867 | 22.3753 | 33.0969   | 124.5378 |
| 1.2942        | 12.0  | 5703 | 2.0355          | 35.4593 | 11.9684 | 22.1591 | 32.8905   | 123.2521 |
| 1.2457        | 13.0  | 6178 | 2.0462          | 35.867  | 12.1835 | 22.3972 | 33.2583   | 123.437  |
| 1.2118        | 14.0  | 6653 | 2.0495          | 35.8893 | 12.3608 | 22.307  | 33.1317   | 124.1261 |
| 1.2014        | 15.0  | 7128 | 2.0594          | 35.6055 | 12.1161 | 22.3591 | 32.9453   | 122.2899 |
| 1.181         | 16.0  | 7604 | 2.0745          | 35.8722 | 12.2746 | 22.5422 | 33.1828   | 122.9076 |
| 1.1514        | 17.0  | 8079 | 2.0788          | 35.9651 | 12.3413 | 22.6585 | 33.2246   | 123.2017 |
| 1.1576        | 17.99 | 8550 | 2.0810          | 36.0646 | 12.4066 | 22.4673 | 33.2078   | 123.5882 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Danish-summarisation/DanSumT5-large", "model-index": [{"name": "DanSumT5-largeV_17400", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:Danish-summarisation/DanSumT5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us