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# DanSumT5-baseV_76992

This model is a fine-tuned version of [Danish-summarisation/DanSumT5-base](https://huggingface.co/Danish-summarisation/DanSumT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0933
- Rouge1: 35.2623
- Rouge2: 12.3928
- Rougel: 22.0648
- Rougelsum: 32.8779
- Gen Len: 126.0464

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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        | 1.0   | 158  | 2.2730          | 34.4493 | 10.622  | 20.8333 | 31.7746   | 126.481  |
| No log        | 2.0   | 317  | 2.2082          | 35.0683 | 11.7208 | 21.5695 | 32.5233   | 125.962  |
| No log        | 3.0   | 475  | 2.1706          | 34.5353 | 11.4258 | 21.3463 | 32.2029   | 125.8017 |
| 2.4623        | 4.0   | 634  | 2.1445          | 34.8325 | 11.8863 | 21.5588 | 32.5282   | 125.0211 |
| 2.4623        | 5.0   | 792  | 2.1246          | 35.3252 | 12.267  | 21.8703 | 33.036    | 125.6624 |
| 2.4623        | 6.0   | 951  | 2.1169          | 34.6852 | 11.8634 | 21.675  | 32.3587   | 126.2532 |
| 2.2087        | 7.0   | 1109 | 2.1056          | 35.0329 | 11.9343 | 22.0452 | 32.7684   | 125.1013 |
| 2.2087        | 8.0   | 1268 | 2.1009          | 35.1984 | 12.2518 | 21.9551 | 32.7163   | 125.7384 |
| 2.2087        | 9.0   | 1426 | 2.0939          | 35.603  | 12.6125 | 22.2904 | 33.2536   | 125.8987 |
| 2.1134        | 10.0  | 1585 | 2.0927          | 35.3434 | 12.277  | 22.0783 | 33.022    | 125.827  |
| 2.1134        | 10.97 | 1738 | 2.0933          | 35.2623 | 12.3928 | 22.0648 | 32.8779   | 126.0464 |


### 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-base", "model-index": [{"name": "DanSumT5-baseV_76992", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:Danish-summarisation/DanSumT5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us