---
base_model: yhavinga/ul2-large-dutch
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ul2-large-dutch-finetuned-oba-book-search
  results: []
---

<!-- 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. -->

# ul2-large-dutch-finetuned-oba-book-search

This model is a fine-tuned version of [yhavinga/ul2-large-dutch](https://huggingface.co/yhavinga/ul2-large-dutch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6126
- Top-5-accuracy: 0.0

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Top-5-accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------------:|
| 8.4166        | 0.2577 | 200  | 5.9848          | 0.0            |
| 8.297         | 0.5155 | 400  | 5.9446          | 0.0            |
| 8.0509        | 0.7732 | 600  | 5.8986          | 0.0            |
| 8.1095        | 1.0309 | 800  | 5.8153          | 0.0            |
| 7.9101        | 1.2887 | 1000 | 5.7811          | 0.0            |
| 8.0255        | 1.5464 | 1200 | 5.7496          | 0.0            |
| 8.0218        | 1.8041 | 1400 | 5.7238          | 0.0            |
| 8.0497        | 2.0619 | 1600 | 5.7016          | 0.0            |
| 8.1829        | 2.3196 | 1800 | 5.6813          | 0.0            |
| 8.0591        | 2.5773 | 2000 | 5.6719          | 0.0            |
| 8.0816        | 2.8351 | 2200 | 5.6573          | 0.0            |
| 7.9825        | 3.0928 | 2400 | 5.6475          | 0.0            |
| 8.1364        | 3.3505 | 2600 | 5.6383          | 0.0            |
| 7.9707        | 3.6082 | 2800 | 5.6298          | 0.0            |
| 7.9173        | 3.8660 | 3000 | 5.6232          | 0.0            |
| 8.0502        | 4.1237 | 3200 | 5.6226          | 0.0            |
| 8.1764        | 4.3814 | 3400 | 5.6163          | 0.0            |
| 7.9046        | 4.6392 | 3600 | 5.6141          | 0.0            |
| 7.7162        | 4.8969 | 3800 | 5.6126          | 0.0            |


### Framework versions

- PEFT 0.11.0
- Transformers 4.44.2
- Pytorch 1.13.0+cu116
- Datasets 3.0.0
- Tokenizers 0.19.1