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# DanSumT5-baseV_76992V_46711V_38467

This model is a fine-tuned version of [MikkelWK/DanSumT5-baseV_76992V_46711](https://huggingface.co/MikkelWK/DanSumT5-baseV_76992V_46711) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0456
- Rouge1: 34.8295
- Rouge2: 12.3052
- Rougel: 22.0499
- Rougelsum: 32.465
- Gen Len: 125.9156

## 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: 1e-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  | 2.0516          | 35.0531 | 12.3572 | 22.1268 | 32.7782   | 124.9747 |
| No log        | 2.0   | 317  | 2.0517          | 34.9194 | 12.2646 | 22.0559 | 32.4982   | 125.8523 |
| No log        | 3.0   | 475  | 2.0472          | 35.2266 | 12.428  | 22.1556 | 32.7856   | 125.27   |
| 1.9007        | 4.0   | 634  | 2.0485          | 34.8459 | 12.1934 | 21.8293 | 32.5161   | 125.6793 |
| 1.9007        | 5.0   | 792  | 2.0467          | 34.9716 | 12.2032 | 21.9724 | 32.6591   | 125.9789 |
| 1.9007        | 6.0   | 951  | 2.0479          | 35.115  | 12.3809 | 22.251  | 32.7169   | 126.0549 |
| 1.8746        | 7.0   | 1109 | 2.0473          | 34.6984 | 12.122  | 22.0339 | 32.413    | 125.9156 |
| 1.8746        | 8.0   | 1268 | 2.0460          | 34.915  | 12.1293 | 22.0359 | 32.5164   | 125.7511 |
| 1.8746        | 9.0   | 1426 | 2.0456          | 34.8315 | 12.3503 | 22.1402 | 32.5063   | 125.9494 |
| 1.8646        | 10.0  | 1585 | 2.0460          | 35.0404 | 12.3379 | 22.1945 | 32.6494   | 125.9494 |
| 1.8646        | 10.97 | 1738 | 2.0456          | 34.8295 | 12.3052 | 22.0499 | 32.465    | 125.9156 |


### 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_76992V_46711", "model-index": [{"name": "DanSumT5-baseV_76992V_46711V_38467", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:MikkelWK/DanSumT5-baseV_76992V_46711 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us