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# DanSumT5-largeV_64175

This model is a fine-tuned version of [Danish-summarisation/DanSumT5-large](https://huggingface.co/Danish-summarisation/DanSumT5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9353
- Rouge1: 36.3246
- Rouge2: 12.8835
- Rougel: 22.8119
- Rougelsum: 33.9989
- Gen Len: 123.8608

## 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: 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  | 2.0926          | 35.3537 | 11.6005 | 21.6874 | 32.9491   | 125.4726 |
| No log        | 2.0   | 475  | 2.0191          | 34.7298 | 11.5968 | 21.4447 | 32.4433   | 125.5232 |
| 2.298         | 3.0   | 712  | 1.9795          | 35.8755 | 12.498  | 22.2007 | 33.4502   | 125.9789 |
| 2.298         | 4.0   | 950  | 1.9583          | 35.7181 | 12.5465 | 22.2719 | 33.3396   | 125.0759 |
| 1.9644        | 5.0   | 1187 | 1.9427          | 36.5535 | 12.7834 | 22.8603 | 34.1928   | 124.5485 |
| 1.9644        | 6.0   | 1425 | 1.9390          | 35.4469 | 12.2325 | 22.4621 | 33.2355   | 125.4979 |
| 1.804         | 7.0   | 1662 | 1.9398          | 36.3061 | 13.2245 | 23.0328 | 34.0469   | 124.3376 |
| 1.804         | 8.0   | 1900 | 1.9347          | 36.0691 | 12.8088 | 22.6919 | 33.804    | 125.1139 |
| 1.7139        | 9.0   | 2137 | 1.9313          | 36.4603 | 12.9104 | 22.887  | 34.0394   | 125.0591 |
| 1.7139        | 10.0  | 2375 | 1.9352          | 36.4393 | 13.1109 | 23.0533 | 34.169    | 124.1055 |
| 1.6525        | 10.98 | 2607 | 1.9353          | 36.3246 | 12.8835 | 22.8119 | 33.9989   | 123.8608 |


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