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# DanSumT5-largeV_64175V_28466

This model is a fine-tuned version of [MikkelWK/DanSumT5-largeV_64175](https://huggingface.co/MikkelWK/DanSumT5-largeV_64175) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9440
- Rouge1: 36.2152
- Rouge2: 13.0493
- Rougel: 22.944
- Rougelsum: 33.9636
- Gen Len: 124.1477

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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   | 237  | 1.9129          | 36.3748 | 12.9111 | 22.7231 | 34.0617   | 124.4388 |
| No log        | 2.0   | 475  | 1.9141          | 36.5255 | 13.2747 | 23.1216 | 34.2165   | 124.1266 |
| 1.6129        | 3.0   | 712  | 1.9195          | 35.7814 | 12.6224 | 22.7674 | 33.5417   | 124.6498 |
| 1.6129        | 4.0   | 950  | 1.9206          | 35.9242 | 12.7026 | 22.708  | 33.7281   | 123.5232 |
| 1.52          | 5.0   | 1187 | 1.9245          | 36.2187 | 12.9182 | 22.9307 | 33.9828   | 124.4262 |
| 1.52          | 6.0   | 1425 | 1.9299          | 36.461  | 12.9952 | 22.8855 | 34.0937   | 123.519  |
| 1.4584        | 7.0   | 1662 | 1.9354          | 36.2673 | 12.8876 | 22.8207 | 33.9211   | 123.7215 |
| 1.4584        | 8.0   | 1900 | 1.9376          | 36.5676 | 13.1433 | 23.1007 | 34.3263   | 124.3755 |
| 1.421         | 9.0   | 2137 | 1.9380          | 36.4169 | 12.9805 | 23.0833 | 34.1293   | 124.0802 |
| 1.421         | 10.0  | 2375 | 1.9433          | 36.2307 | 12.8933 | 22.9699 | 34.0108   | 124.5274 |
| 1.3845        | 10.98 | 2607 | 1.9440          | 36.2152 | 13.0493 | 22.944  | 33.9636   | 124.1477 |


### 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-largeV_64175", "model-index": [{"name": "DanSumT5-largeV_64175V_28466", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:MikkelWK/DanSumT5-largeV_64175 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us