--- base_model: roneneldan/TinyStories-33M tags: - generated_from_trainer model-index: - name: my_model results: [] --- # my_model This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0283 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 0.11 | 2 | 1.1872 | | No log | 0.22 | 4 | 1.0699 | | No log | 0.33 | 6 | 1.0373 | | No log | 0.44 | 8 | 1.0283 | ### Framework versions - Transformers 4.32.1 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.2