---
library_name: transformers
base_model: DTAI-KULeuven/robbert-2023-dutch-large
language:
- nl
---

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# SONAR500 Coarse Domains Classification model

This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-large](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-large) on the [BramVanroy/SONAR500-coarse_domain](https://huggingface.co/datasets/BramVanroy/SONAR500-coarse_domain) dataset.

## 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 128
- num_epochs: 1

### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.0