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# DanSumT5-base-finetuned-test_6887-finetuned-test_1006-finetuned-test_11009

This model is a fine-tuned version of [emilstabil/DanSumT5-base-finetuned-test_6887-finetuned-test_1006](https://huggingface.co/emilstabil/DanSumT5-base-finetuned-test_6887-finetuned-test_1006) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3782
- Rouge1: 32.39
- Rouge2: 8.6259
- Rougel: 18.9711
- Rougelsum: 29.8246
- Gen Len: 126.34

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 2.3679          | 32.1169 | 8.3429 | 18.77   | 29.6623   | 126.64  |
| No log        | 2.0   | 200  | 2.3731          | 32.3698 | 8.6912 | 18.9051 | 29.7509   | 126.33  |
| No log        | 3.0   | 300  | 2.3613          | 31.6641 | 8.1301 | 18.0445 | 29.15     | 126.93  |
| No log        | 4.0   | 400  | 2.3572          | 32.2198 | 8.4769 | 18.4906 | 29.7567   | 126.98  |
| 2.0202        | 5.0   | 500  | 2.3665          | 32.3042 | 8.3662 | 18.508  | 29.4379   | 126.47  |
| 2.0202        | 6.0   | 600  | 2.3637          | 32.1451 | 8.7682 | 18.8803 | 29.6716   | 126.0   |
| 2.0202        | 7.0   | 700  | 2.3640          | 32.1651 | 8.509  | 18.7387 | 29.588    | 125.97  |
| 2.0202        | 8.0   | 800  | 2.3667          | 32.0836 | 8.5881 | 18.7982 | 29.7275   | 126.21  |
| 2.0202        | 9.0   | 900  | 2.3733          | 32.0533 | 8.4997 | 18.6971 | 29.4086   | 125.88  |
| 1.864         | 10.0  | 1000 | 2.3741          | 31.7214 | 8.226  | 18.3299 | 29.3011   | 125.79  |
| 1.864         | 11.0  | 1100 | 2.3723          | 32.1068 | 8.5369 | 18.7853 | 29.4877   | 126.67  |
| 1.864         | 12.0  | 1200 | 2.3784          | 32.6049 | 8.8493 | 19.2296 | 30.1329   | 126.99  |
| 1.864         | 13.0  | 1300 | 2.3745          | 32.3626 | 8.6869 | 19.0018 | 29.7956   | 126.42  |
| 1.864         | 14.0  | 1400 | 2.3771          | 32.8879 | 8.8559 | 18.9569 | 30.255    | 126.02  |
| 1.7909        | 15.0  | 1500 | 2.3782          | 32.39   | 8.6259 | 18.9711 | 29.8246   | 126.34  |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "emilstabil/DanSumT5-base-finetuned-test_6887-finetuned-test_1006", "model-index": [{"name": "DanSumT5-base-finetuned-test_6887-finetuned-test_1006-finetuned-test_11009", "results": []}]}
transformers pytorch mt5 text2text-generation generated_from_trainer base_model:emilstabil/DanSumT5-base-finetuned-test_6887-finetuned-test_1006 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us