---
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: 4.5684
- Top-5-accuracy: 0.1158

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|
| 7.7153        | 0.2577 | 200  | 5.3876          | 0.0            |
| 6.8602        | 0.5155 | 400  | 4.8652          | 0.0            |
| 6.3689        | 0.7732 | 600  | 4.6435          | 0.0            |
| 6.2303        | 1.0309 | 800  | 4.6293          | 0.0579         |
| 6.0898        | 1.2887 | 1000 | 4.6395          | 0.0289         |
| 6.0367        | 1.5464 | 1200 | 4.5855          | 0.0289         |
| 5.8512        | 1.8041 | 1400 | 4.5860          | 0.0579         |
| 5.9489        | 2.0619 | 1600 | 4.5672          | 0.0868         |
| 5.7601        | 2.3196 | 1800 | 4.5522          | 0.0579         |
| 5.7379        | 2.5773 | 2000 | 4.5572          | 0.0868         |
| 5.7397        | 2.8351 | 2200 | 4.5559          | 0.0579         |
| 5.7488        | 3.0928 | 2400 | 4.5769          | 0.1447         |
| 5.7581        | 3.3505 | 2600 | 4.5421          | 0.1158         |
| 5.6448        | 3.6082 | 2800 | 4.5174          | 0.1447         |
| 5.6551        | 3.8660 | 3000 | 4.5773          | 0.1158         |
| 5.6971        | 4.1237 | 3200 | 4.5495          | 0.0868         |
| 5.7085        | 4.3814 | 3400 | 4.5392          | 0.1447         |
| 5.6689        | 4.6392 | 3600 | 4.5707          | 0.1158         |
| 5.5422        | 4.8969 | 3800 | 4.5684          | 0.1158         |


### Framework versions

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