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# DanSumT5-smallV_45080V_28899

This model is a fine-tuned version of [MikkelWK/DanSumT5-smallV_45080](https://huggingface.co/MikkelWK/DanSumT5-smallV_45080) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3420
- Rouge1: 34.2035
- Rouge2: 11.7825
- Rougel: 21.2997
- Rougelsum: 31.867
- 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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        | 0.99  | 118  | 2.3862          | 34.0958 | 11.4947 | 21.1948 | 31.816    | 126.1435 |
| No log        | 2.0   | 237  | 2.3736          | 34.5215 | 11.8408 | 21.3504 | 32.3197   | 125.4684 |
| No log        | 3.0   | 356  | 2.3644          | 33.9906 | 11.7306 | 21.1808 | 31.7099   | 125.2658 |
| No log        | 4.0   | 475  | 2.3600          | 33.9748 | 11.4527 | 21.0768 | 31.6301   | 125.4937 |
| 2.54          | 4.99  | 593  | 2.3529          | 34.1576 | 11.8298 | 21.3237 | 31.8942   | 125.7975 |
| 2.54          | 6.0   | 712  | 2.3524          | 33.9821 | 11.8394 | 21.3529 | 31.6828   | 125.7806 |
| 2.54          | 7.0   | 831  | 2.3504          | 34.2198 | 11.6844 | 21.238  | 31.848    | 125.5612 |
| 2.54          | 8.0   | 950  | 2.3461          | 34.1482 | 11.8218 | 21.2733 | 31.7579   | 125.038  |
| 2.4866        | 8.99  | 1068 | 2.3423          | 34.1879 | 11.7579 | 21.3878 | 31.8897   | 125.4304 |
| 2.4866        | 10.0  | 1187 | 2.3431          | 34.1242 | 11.7469 | 21.2607 | 31.8056   | 125.7173 |
| 2.4866        | 10.93 | 1298 | 2.3420          | 34.2035 | 11.7825 | 21.2997 | 31.867    | 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-smallV_45080", "model-index": [{"name": "DanSumT5-smallV_45080V_28899", "results": []}]}
transformers safetensors mt5 text2text-generation generated_from_trainer base_model:MikkelWK/DanSumT5-smallV_45080 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us