---
license: mit
base_model: DTAI-KULeuven/robbert-2023-dutch-large
tags:
- generated_from_trainer
model-index:
- name: robbert-2023-dutch-large-ft-lcn
  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. -->

# robbert-2023-dutch-large-ft-lcn

This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-large](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8711

## 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: 6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3132        | 1.0   | 69   | 2.1302          |
| 2.1372        | 2.0   | 138  | 2.0750          |
| 2.0204        | 3.0   | 207  | 1.9985          |
| 1.9231        | 4.0   | 276  | 1.9298          |
| 1.8671        | 5.0   | 345  | 1.9031          |
| 1.764         | 6.0   | 414  | 1.9241          |
| 1.7491        | 7.0   | 483  | 1.9061          |
| 1.7057        | 8.0   | 552  | 1.9247          |
| 1.6751        | 9.0   | 621  | 1.8435          |
| 1.5922        | 10.0  | 690  | 1.8714          |
| 1.5859        | 11.0  | 759  | 1.8203          |
| 1.5551        | 12.0  | 828  | 1.8823          |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3