---
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: 4.5755
- Top-5-accuracy: 0.0579

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|
| 7.9158        | 0.1289 | 200  | 5.3305          | 0.0            |
| 7.0161        | 0.2579 | 400  | 4.8351          | 0.0            |
| 6.3673        | 0.3868 | 600  | 4.6915          | 0.0579         |
| 6.1376        | 0.5158 | 800  | 4.7811          | 0.0289         |
| 6.1629        | 0.6447 | 1000 | 4.7614          | 0.0            |
| 5.9541        | 0.7737 | 1200 | 4.6734          | 0.0289         |
| 5.8968        | 0.9026 | 1400 | 4.7609          | 0.0289         |
| 5.9555        | 1.0316 | 1600 | 4.5714          | 0.0289         |
| 5.8876        | 1.1605 | 1800 | 4.7200          | 0.0579         |
| 5.7377        | 1.2895 | 2000 | 4.6012          | 0.0289         |
| 5.7385        | 1.4184 | 2200 | 4.5199          | 0.0289         |
| 5.7584        | 1.5474 | 2400 | 4.5996          | 0.0579         |
| 5.7681        | 1.6763 | 2600 | 4.6556          | 0.0289         |
| 5.7317        | 1.8053 | 2800 | 4.6396          | 0.0289         |
| 5.6363        | 1.9342 | 3000 | 4.5867          | 0.0579         |
| 5.7462        | 2.0632 | 3200 | 4.5472          | 0.0289         |
| 5.6963        | 2.1921 | 3400 | 4.5598          | 0.0289         |
| 5.588         | 2.3211 | 3600 | 4.5316          | 0.0289         |
| 5.5463        | 2.4500 | 3800 | 4.5661          | 0.0289         |
| 5.5491        | 2.5790 | 4000 | 4.5478          | 0.0289         |
| 5.5445        | 2.7079 | 4200 | 4.5253          | 0.0289         |
| 5.5136        | 2.8369 | 4400 | 4.5313          | 0.0289         |
| 5.5705        | 2.9658 | 4600 | 4.5677          | 0.0289         |
| 5.4956        | 3.0948 | 4800 | 4.5268          | 0.0289         |
| 5.4799        | 3.2237 | 5000 | 4.5313          | 0.0289         |
| 5.4992        | 3.3527 | 5200 | 4.5403          | 0.0289         |
| 5.5742        | 3.4816 | 5400 | 4.5124          | 0.0289         |
| 5.4864        | 3.6106 | 5600 | 4.5527          | 0.0579         |
| 5.4896        | 3.7395 | 5800 | 4.5582          | 0.0289         |
| 5.5396        | 3.8685 | 6000 | 4.5680          | 0.0579         |
| 5.4413        | 3.9974 | 6200 | 4.5579          | 0.0579         |
| 5.4534        | 4.1264 | 6400 | 4.5684          | 0.0579         |
| 5.5199        | 4.2553 | 6600 | 4.5726          | 0.0579         |
| 5.5298        | 4.3843 | 6800 | 4.5883          | 0.0579         |
| 5.4346        | 4.5132 | 7000 | 4.5885          | 0.0289         |
| 5.5098        | 4.6422 | 7200 | 4.5895          | 0.0579         |
| 5.489         | 4.7711 | 7400 | 4.5682          | 0.0579         |
| 5.4055        | 4.9001 | 7600 | 4.5755          | 0.0579         |


### Framework versions

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