--- license: cc-by-nc-4.0 library_name: peft tags: - alignment-handbook - generated_from_trainer - trl - sft base_model: BramVanroy/GEITje-7B-ultra datasets: - snoels/FinGEITje-sft model-index: - name: fingeitje results: [] language: - nl --- # fingeitje This model is a fine-tuned version of [BramVanroy/GEITje-7B-ultra](https://huggingface.co/BramVanroy/GEITje-7B-ultra) on the ice-hands/fingeit_training_3 dataset. It achieves the following results on the evaluation set: - Loss: 0.3928 ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 0.406 | 1.0 | 3922 | 0.3928 | ### Framework versions - PEFT 0.7.1 - Transformers 4.39.0.dev0 - Pytorch 2.1.2 - Datasets 2.14.6 - Tokenizers 0.15.2