---
library_name: transformers
base_model: weqweasdas/gpt2-cpt-dutch
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- BramVanroy/ultrachat_200k_dutch
model-index:
- name: gpt2-sft-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. -->

# gpt2-sft-dutch

This model is a fine-tuned version of [weqweasdas/gpt2-cpt-dutch](https://huggingface.co./weqweasdas/gpt2-cpt-dutch) on the BramVanroy/ultrachat_200k_dutch dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9502

## 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
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1156        | 1.0   | 76   | 2.9502          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 3.0.0
- Tokenizers 0.19.1