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# DanSumT5-baseV_76992V_46711

This model is a fine-tuned version of [MikkelWK/DanSumT5-baseV_76992](https://huggingface.co/MikkelWK/DanSumT5-baseV_76992) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0524
- Rouge1: 35.1326
- Rouge2: 12.4907
- Rougel: 22.2198
- Rougelsum: 32.9006
- Gen Len: 125.7046

## 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: 3e-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  | 2.0785          | 34.9912 | 12.0798 | 21.5738 | 32.5941   | 125.8565 |
| No log        | 2.0   | 317  | 2.0723          | 35.3767 | 12.5246 | 22.3438 | 33.134    | 125.1814 |
| No log        | 3.0   | 475  | 2.0670          | 35.0003 | 12.3487 | 22.0818 | 32.7757   | 125.2236 |
| 2.0448        | 4.0   | 634  | 2.0627          | 34.9235 | 12.4248 | 21.9984 | 32.6792   | 125.692  |
| 2.0448        | 5.0   | 792  | 2.0602          | 34.8444 | 12.0255 | 21.8684 | 32.5912   | 125.6371 |
| 2.0448        | 6.0   | 951  | 2.0587          | 35.054  | 12.4206 | 22.0109 | 32.738    | 125.9283 |
| 1.9644        | 7.0   | 1109 | 2.0557          | 35.096  | 12.4303 | 22.0932 | 32.789    | 125.6582 |
| 1.9644        | 8.0   | 1268 | 2.0549          | 34.6533 | 12.136  | 21.8315 | 32.4922   | 124.9705 |
| 1.9644        | 9.0   | 1426 | 2.0507          | 34.7988 | 12.3361 | 21.928  | 32.5793   | 125.2785 |
| 1.9241        | 10.0  | 1585 | 2.0511          | 35.1418 | 12.3987 | 22.1549 | 32.9138   | 125.3671 |
| 1.9241        | 10.97 | 1738 | 2.0524          | 35.1326 | 12.4907 | 22.2198 | 32.9006   | 125.7046 |


### 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": "MikkelWK/DanSumT5-baseV_76992", "model-index": [{"name": "DanSumT5-baseV_76992V_46711", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:MikkelWK/DanSumT5-baseV_76992 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us