--- library_name: peft base_model: roneneldan/TinyStories-1M tags: - generated_from_trainer model-index: - name: test_1M_1-2025-02-18-14-21 results: [] --- # test_1M_1-2025-02-18-14-21 This model is a fine-tuned version of [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.7856 ## 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: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1 - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.0635 | 0.5 | 297 | 2.9508 | | 2.9856 | 1.0 | 594 | 2.8973 | | 2.8633 | 1.5 | 891 | 2.8620 | | 2.8463 | 2.0 | 1188 | 2.8442 | | 2.8592 | 2.5 | 1485 | 2.8335 | | 2.9088 | 3.0 | 1782 | 2.8218 | | 2.7705 | 3.5 | 2079 | 2.8176 | | 2.8045 | 4.0 | 2376 | 2.8065 | | 2.822 | 4.5 | 2673 | 2.8003 | | 2.9149 | 5.0 | 2970 | 2.7917 | | 2.6928 | 5.5 | 3267 | 2.7886 | | 2.9345 | 6.0 | 3564 | 2.7856 | ### Framework versions - PEFT 0.14.0 - Transformers 4.48.1 - Pytorch 2.5.1+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0