---
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: 4.4355
- Top-5-accuracy: 0.3172

## 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: 0.03
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|
| 7.5872        | 0.1729 | 200  | 5.1429          | 0.0            |
| 6.5938        | 0.3457 | 400  | 4.5886          | 0.0680         |
| 6.2525        | 0.5186 | 600  | 4.7437          | 0.0453         |
| 6.1056        | 0.6914 | 800  | 4.6423          | 0.2493         |
| 6.0637        | 0.8643 | 1000 | 4.6631          | 0.1586         |
| 5.9667        | 1.0372 | 1200 | 4.5781          | 0.0227         |
| 5.8045        | 1.2100 | 1400 | 4.4807          | 0.1360         |
| 5.7737        | 1.3829 | 1600 | 4.4840          | 0.0453         |
| 5.7215        | 1.5557 | 1800 | 4.5203          | 0.0680         |
| 5.6041        | 1.7286 | 2000 | 4.4304          | 0.0680         |
| 5.5924        | 1.9015 | 2200 | 4.5078          | 0.0453         |
| 5.5273        | 2.0743 | 2400 | 4.5331          | 0.1133         |
| 5.5034        | 2.2472 | 2600 | 4.4927          | 0.0453         |
| 5.5556        | 2.4201 | 2800 | 4.4918          | 0.0227         |
| 5.5071        | 2.5929 | 3000 | 4.4780          | 0.1133         |
| 5.4722        | 2.7658 | 3200 | 4.4836          | 0.0453         |
| 5.4154        | 2.9386 | 3400 | 4.4614          | 0.0680         |
| 5.4479        | 3.1115 | 3600 | 4.4920          | 0.0680         |
| 5.3862        | 3.2844 | 3800 | 4.5000          | 0.0680         |
| 5.3983        | 3.4572 | 4000 | 4.4335          | 0.1360         |
| 5.3797        | 3.6301 | 4200 | 4.5029          | 0.1586         |
| 5.3729        | 3.8029 | 4400 | 4.4466          | 0.1586         |
| 5.4011        | 3.9758 | 4600 | 4.4359          | 0.1813         |
| 5.3342        | 4.1487 | 4800 | 4.4264          | 0.2039         |
| 5.3995        | 4.3215 | 5000 | 4.4568          | 0.2039         |
| 5.2805        | 4.4944 | 5200 | 4.4460          | 0.2719         |
| 5.3532        | 4.6672 | 5400 | 4.4434          | 0.3172         |
| 5.3444        | 4.8401 | 5600 | 4.4355          | 0.3172         |


### Framework versions

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