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# DanSumT5-large-finetuned-test_57626

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: 2.5370
- Rouge1: 31.992
- Rouge2: 7.6605
- Rougel: 18.1676
- Rougelsum: 29.1825
- Gen Len: 126.27

## 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: 2e-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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 200  | 2.5665          | 31.8442 | 7.5263 | 18.0111 | 29.1725   | 126.86  |
| No log        | 2.0   | 400  | 2.5370          | 31.992  | 7.6605 | 18.1676 | 29.1825   | 126.27  |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Danish-summarisation/DanSumT5-large", "model-index": [{"name": "DanSumT5-large-finetuned-test_57626", "results": []}]}
transformers pytorch 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