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# DanSumT5-smallV_45767

This model is a fine-tuned version of [Danish-summarisation/DanSumT5-small](https://huggingface.co/Danish-summarisation/DanSumT5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4588
- Rouge1: 34.0971
- Rouge2: 11.6678
- Rougel: 20.9389
- Rougelsum: 31.6394
- Gen Len: 126.6667

## 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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- 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  | 47   | 2.6271          | 33.2283 | 9.8941  | 19.1924 | 30.4729   | 126.1097 |
| No log        | 2.0   | 95   | 2.5692          | 34.2858 | 10.6816 | 20.0299 | 31.4449   | 126.3122 |
| No log        | 2.99  | 142  | 2.5355          | 33.7958 | 10.5765 | 20.2505 | 31.1959   | 126.3797 |
| No log        | 4.0   | 190  | 2.5069          | 33.9743 | 10.8243 | 20.5625 | 31.5943   | 127.0    |
| No log        | 4.99  | 237  | 2.4948          | 34.3448 | 11.0631 | 20.7157 | 31.8031   | 126.8143 |
| No log        | 6.0   | 285  | 2.4850          | 34.3003 | 11.2431 | 20.8124 | 31.6921   | 126.7722 |
| No log        | 6.99  | 332  | 2.4732          | 34.4809 | 11.2159 | 20.887  | 31.8901   | 126.4641 |
| No log        | 8.0   | 380  | 2.4653          | 34.4969 | 11.2692 | 20.9618 | 31.9055   | 126.8312 |
| No log        | 8.99  | 427  | 2.4620          | 34.103  | 11.3392 | 20.7891 | 31.5918   | 126.6709 |
| No log        | 10.0  | 475  | 2.4598          | 34.3248 | 11.7302 | 21.0723 | 31.8667   | 126.6878 |
| 2.7898        | 10.88 | 517  | 2.4588          | 34.0971 | 11.6678 | 20.9389 | 31.6394   | 126.6667 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "DanSumT5-smallV_45767", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us