---
base_model: gpt2
license: mit
tags:
- generated_from_trainer
model-index:
- name: yes_no_model_dutch
  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. -->

# yes_no_model_dutch

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2569        | 0.25  | 10   | 5.4260          |
| 3.3851        | 0.5   | 20   | 1.6825          |
| 1.4867        | 0.75  | 30   | 0.6516          |
| 0.6402        | 1.0   | 40   | 0.2228          |
| 0.2899        | 1.25  | 50   | 0.1722          |
| 0.1321        | 1.5   | 60   | 0.0340          |
| 0.0855        | 1.75  | 70   | 0.0436          |
| 0.1698        | 2.0   | 80   | 0.0061          |
| 0.1031        | 2.25  | 90   | 0.0008          |
| 0.0106        | 2.5   | 100  | 0.0002          |
| 0.0082        | 2.75  | 110  | 0.0001          |
| 0.0018        | 3.0   | 120  | 0.0005          |
| 0.0023        | 3.25  | 130  | 0.0000          |
| 0.0008        | 3.5   | 140  | 0.0000          |
| 0.0004        | 3.75  | 150  | 0.0000          |
| 0.0007        | 4.0   | 160  | 0.0000          |
| 0.0004        | 4.25  | 170  | 0.0000          |
| 0.0016        | 4.5   | 180  | 0.0000          |
| 0.0006        | 4.75  | 190  | 0.0000          |
| 0.0017        | 5.0   | 200  | 0.0000          |
| 0.0003        | 5.25  | 210  | 0.0000          |
| 0.0003        | 5.5   | 220  | 0.0000          |
| 0.0           | 5.75  | 230  | 0.0000          |
| 0.0           | 6.0   | 240  | 0.0000          |
| 0.0001        | 6.25  | 250  | 0.0000          |
| 0.0001        | 6.5   | 260  | 0.0000          |
| 0.0           | 6.75  | 270  | 0.0000          |
| 0.0           | 7.0   | 280  | 0.0000          |
| 0.0           | 7.25  | 290  | 0.0000          |
| 0.0           | 7.5   | 300  | 0.0000          |
| 0.0           | 7.75  | 310  | 0.0000          |
| 0.0           | 8.0   | 320  | 0.0000          |
| 0.0002        | 8.25  | 330  | 0.0000          |
| 0.0           | 8.5   | 340  | 0.0000          |
| 0.0           | 8.75  | 350  | 0.0000          |
| 0.0001        | 9.0   | 360  | 0.0000          |
| 0.0           | 9.25  | 370  | 0.0000          |
| 0.0           | 9.5   | 380  | 0.0000          |
| 0.0           | 9.75  | 390  | 0.0000          |
| 0.0           | 10.0  | 400  | 0.0000          |


### Framework versions

- Transformers 4.42.2
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1