--- library_name: peft base_model: roneneldan/TinyStories-1M tags: - generated_from_trainer model-index: - name: test_1M_1-2025-02-20-18-21 results: [] --- # test_1M_1-2025-02-20-18-21 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: 2.4115 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 2.5947 | 0.5 | 297 | 2.5063 | | 2.5953 | 1.0 | 594 | 2.4885 | | 2.4797 | 1.5 | 891 | 2.4663 | | 2.3619 | 2.0 | 1188 | 2.4567 | | 2.4461 | 2.5 | 1485 | 2.4477 | | 2.6288 | 3.0 | 1782 | 2.4462 | | 2.4072 | 3.5 | 2079 | 2.4369 | | 2.417 | 4.0 | 2376 | 2.4303 | | 2.3747 | 4.5 | 2673 | 2.4293 | | 2.313 | 5.0 | 2970 | 2.4210 | | 2.3675 | 5.5 | 3267 | 2.4159 | | 2.402 | 6.0 | 3564 | 2.4115 | ### Framework versions - PEFT 0.14.0 - Transformers 4.48.1 - Pytorch 2.5.1+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0