---
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: 2.0170

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4518        | 1.0   | 69   | 2.2797          |
| 2.2185        | 2.0   | 138  | 2.1987          |
| 2.0898        | 3.0   | 207  | 2.0697          |
| 1.9864        | 4.0   | 276  | 2.0990          |
| 1.9536        | 5.0   | 345  | 2.0931          |
| 1.9179        | 6.0   | 414  | 2.0926          |
| 1.8327        | 7.0   | 483  | 2.0360          |
| 1.8026        | 8.0   | 552  | 2.0184          |
| 1.7421        | 9.0   | 621  | 2.0204          |
| 1.718         | 10.0  | 690  | 2.0213          |
| 1.629         | 11.0  | 759  | 1.9758          |
| 1.6068        | 12.0  | 828  | 1.9624          |
| 1.5701        | 13.0  | 897  | 2.0252          |
| 1.5413        | 14.0  | 966  | 2.0177          |
| 1.5081        | 15.0  | 1035 | 1.9927          |
| 1.4819        | 16.0  | 1104 | 2.0139          |
| 1.4276        | 17.0  | 1173 | 2.0395          |
| 1.3509        | 18.0  | 1242 | 1.9635          |
| 1.3773        | 19.0  | 1311 | 2.0046          |
| 1.3482        | 20.0  | 1380 | 1.9418          |
| 1.2942        | 21.0  | 1449 | 1.9375          |
| 1.2545        | 22.0  | 1518 | 1.9260          |
| 1.2211        | 23.0  | 1587 | 2.0129          |
| 1.1984        | 24.0  | 1656 | 1.9790          |
| 1.195         | 25.0  | 1725 | 2.0265          |
| 1.1825        | 26.0  | 1794 | 1.9964          |
| 1.1437        | 27.0  | 1863 | 1.9897          |
| 1.1351        | 28.0  | 1932 | 1.9511          |
| 1.1142        | 29.0  | 2001 | 1.9283          |
| 1.1011        | 30.0  | 2070 | 1.9966          |


### Framework versions

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