---
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: 4.1161
- Top-5-accuracy: 4.1679

## 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: 0.3
- 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Top-5-accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------------:|
| 6.2541        | 0.2577 | 200  | 4.6137          | 0.0579         |
| 5.8635        | 0.5155 | 400  | 4.5076          | 0.1158         |
| 5.5301        | 0.7732 | 600  | 4.4350          | 0.1447         |
| 5.5298        | 1.0309 | 800  | 4.4449          | 0.1447         |
| 5.3296        | 1.2887 | 1000 | 4.4621          | 0.1158         |
| 5.3336        | 1.5464 | 1200 | 4.4232          | 0.1447         |
| 5.2192        | 1.8041 | 1400 | 4.3842          | 0.1447         |
| 5.2348        | 2.0619 | 1600 | 4.3465          | 0.1447         |
| 5.0988        | 2.3196 | 1800 | 4.3129          | 0.2026         |
| 5.1633        | 2.5773 | 2000 | 4.3007          | 0.1737         |
| 5.1103        | 2.8351 | 2200 | 4.2722          | 0.2026         |
| 5.0057        | 3.0928 | 2400 | 4.3158          | 0.1447         |
| 5.0554        | 3.3505 | 2600 | 4.2731          | 0.4342         |
| 4.9774        | 3.6082 | 2800 | 4.2467          | 0.3763         |
| 4.9769        | 3.8660 | 3000 | 4.2320          | 0.5789         |
| 4.9825        | 4.1237 | 3200 | 4.2115          | 0.8394         |
| 4.9692        | 4.3814 | 3400 | 4.2172          | 1.3893         |
| 4.9681        | 4.6392 | 3600 | 4.2093          | 1.5630         |
| 4.8661        | 4.8969 | 3800 | 4.2003          | 2.2865         |
| 4.942         | 5.1546 | 4000 | 4.2047          | 2.3734         |
| 4.8974        | 5.4124 | 4200 | 4.1583          | 2.8654         |
| 4.8827        | 5.6701 | 4400 | 4.1852          | 2.9522         |
| 4.8705        | 5.9278 | 4600 | 4.1661          | 3.4732         |
| 4.8714        | 6.1856 | 4800 | 4.1478          | 3.7916         |
| 4.7909        | 6.4433 | 5000 | 4.1748          | 3.6179         |
| 4.8357        | 6.7010 | 5200 | 4.1471          | 3.9074         |
| 4.8723        | 6.9588 | 5400 | 4.1518          | 4.0232         |
| 4.8838        | 7.2165 | 5600 | 4.1428          | 4.1389         |
| 4.804         | 7.4742 | 5800 | 4.1468          | 4.0232         |
| 4.8232        | 7.7320 | 6000 | 4.1390          | 4.1389         |
| 4.8571        | 7.9897 | 6200 | 4.1305          | 4.0810         |
| 4.7454        | 8.2474 | 6400 | 4.1297          | 4.1679         |
| 4.8652        | 8.5052 | 6600 | 4.1262          | 4.1968         |
| 4.7882        | 8.7629 | 6800 | 4.1227          | 4.1679         |
| 4.8025        | 9.0206 | 7000 | 4.1134          | 4.1679         |
| 4.8124        | 9.2784 | 7200 | 4.1211          | 4.1389         |
| 4.7157        | 9.5361 | 7400 | 4.1122          | 4.1389         |
| 4.8666        | 9.7938 | 7600 | 4.1161          | 4.1679         |


### Framework versions

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