---
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: 2.0046

## 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=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4819        | 1.0   | 69   | 2.1984          |
| 2.1774        | 2.0   | 138  | 2.1685          |
| 2.0555        | 3.0   | 207  | 2.1070          |
| 1.9779        | 4.0   | 276  | 2.0563          |
| 1.9261        | 5.0   | 345  | 2.0365          |
| 1.8381        | 6.0   | 414  | 2.0416          |
| 1.8136        | 7.0   | 483  | 2.0397          |
| 1.7682        | 8.0   | 552  | 2.0639          |
| 1.7484        | 9.0   | 621  | 2.0264          |
| 1.6742        | 10.0  | 690  | 2.0665          |
| 1.6311        | 11.0  | 759  | 2.0448          |
| 1.5907        | 12.0  | 828  | 2.0722          |
| 1.5301        | 13.0  | 897  | 1.9631          |
| 1.5052        | 14.0  | 966  | 2.0467          |
| 1.4834        | 15.0  | 1035 | 1.9810          |
| 1.4219        | 16.0  | 1104 | 2.0255          |
| 1.4029        | 17.0  | 1173 | 2.0746          |
| 1.3628        | 18.0  | 1242 | 1.9811          |
| 1.3356        | 19.0  | 1311 | 2.0329          |
| 1.3028        | 20.0  | 1380 | 2.0039          |
| 1.2955        | 21.0  | 1449 | 1.9837          |
| 1.2231        | 22.0  | 1518 | 1.9871          |
| 1.2093        | 23.0  | 1587 | 2.0143          |
| 1.1945        | 24.0  | 1656 | 1.9659          |
| 1.1657        | 25.0  | 1725 | 2.0569          |
| 1.1369        | 26.0  | 1794 | 1.9878          |
| 1.0946        | 27.0  | 1863 | 2.0062          |
| 1.063         | 28.0  | 1932 | 2.0421          |
| 1.0521        | 29.0  | 2001 | 2.0320          |
| 1.0443        | 30.0  | 2070 | 2.0580          |
| 1.0325        | 31.0  | 2139 | 1.9606          |
| 0.9804        | 32.0  | 2208 | 2.1121          |
| 0.9674        | 33.0  | 2277 | 2.0156          |
| 0.9563        | 34.0  | 2346 | 2.0292          |
| 0.927         | 35.0  | 2415 | 2.0528          |
| 0.9236        | 36.0  | 2484 | 1.9851          |
| 0.9319        | 37.0  | 2553 | 2.0392          |
| 0.8921        | 38.0  | 2622 | 2.0334          |
| 0.8742        | 39.0  | 2691 | 2.0492          |
| 0.8955        | 40.0  | 2760 | 1.9491          |


### Framework versions

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