
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# DanSumT5-baseV_13284V_36974

This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_13284](https://huggingface.co/emilstabil/DanSumT5-baseV_13284) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0893
- Rouge1: 34.9084
- Rouge2: 12.0759
- Rougel: 21.8064
- Rougelsum: 32.5673
- Gen Len: 125.2827

## 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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- 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   | 79   | 2.1219          | 35.0897 | 11.9215 | 21.754  | 32.7137   | 125.2025 |
| No log        | 1.99  | 158  | 2.1200          | 34.8528 | 12.0209 | 21.7675 | 32.5084   | 125.5612 |
| No log        | 2.99  | 237  | 2.1127          | 34.9594 | 11.9696 | 21.698  | 32.5483   | 126.0549 |
| No log        | 4.0   | 317  | 2.1042          | 34.6163 | 11.9576 | 21.82   | 32.3802   | 125.6751 |
| No log        | 5.0   | 396  | 2.1058          | 35.3397 | 12.3246 | 22.2113 | 33.095    | 126.0422 |
| No log        | 5.99  | 475  | 2.0987          | 35.012  | 12.1749 | 21.895  | 32.7336   | 125.9958 |
| 2.0966        | 6.99  | 554  | 2.0969          | 35.1359 | 12.1652 | 21.8921 | 32.7933   | 125.9283 |
| 2.0966        | 8.0   | 634  | 2.0940          | 35.0078 | 12.1916 | 21.9206 | 32.6762   | 125.1646 |
| 2.0966        | 9.0   | 713  | 2.0925          | 34.8858 | 12.0673 | 21.8894 | 32.5213   | 125.3797 |
| 2.0966        | 9.99  | 792  | 2.0896          | 34.747  | 11.9854 | 21.8049 | 32.3432   | 125.3924 |
| 2.0966        | 10.97 | 869  | 2.0893          | 34.9084 | 12.0759 | 21.8064 | 32.5673   | 125.2827 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "DanSumT5-baseV_13284V_36974", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us