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---
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
|