---
library_name: transformers
base_model: yhavinga/gpt2-large-dutch
tags:
- generated_from_trainer
model-index:
- name: my-szw-model-2
  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. -->

# my-szw-model-2

This model is a fine-tuned version of [yhavinga/gpt2-large-dutch](https://huggingface.co/yhavinga/gpt2-large-dutch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2110

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 37   | 2.2680          |
| No log        | 2.0   | 74   | 2.2221          |
| No log        | 3.0   | 111  | 2.2110          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3