--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: mistralai/Mistral-7B-Instruct-v0.1 model-index: - name: mistral-instruct-dutch-syntax-2000 results: [] --- # mistral-instruct-dutch-syntax-2000 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on a curated version of Lassy-Small with syntax data. 2000 samples. It achieves the following results on the evaluation set: - Loss: 0.6808 ## 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: 2.5e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 0.03 - training_steps: 950 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.1019 | 0.11 | 100 | 1.0701 | | 0.9093 | 0.21 | 200 | 0.9592 | | 0.8341 | 0.32 | 300 | 0.8800 | | 0.7975 | 0.42 | 400 | 0.8150 | | 0.7859 | 0.53 | 500 | 0.7638 | | 0.7069 | 0.63 | 600 | 0.7254 | | 0.6007 | 0.74 | 700 | 0.6974 | | 0.6971 | 0.84 | 800 | 0.6832 | | 0.6331 | 0.95 | 900 | 0.6808 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.1 - Pytorch 2.1.2+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0