--- tags: - generated_from_trainer datasets: - generator model-index: - name: TinyLinuxDSLM results: [] --- # TinyLinuxDSLM This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.5454 ## 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 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.609 | 1.0 | 3125 | 0.5880 | | 0.5796 | 2.0 | 6250 | 0.5454 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu118 - Datasets 2.20.0 - Tokenizers 0.19.1