--- library_name: transformers tags: - generated_from_trainer model-index: - name: SmolLM2-135M results: [] --- # SmolLM2-135M This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.7876 ## 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: 0.0005 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.9597 | 0.32 | 200 | 3.7846 | | 2.9834 | 0.64 | 400 | 3.7458 | | 2.8111 | 0.96 | 600 | 3.6531 | | 1.6601 | 1.28 | 800 | 3.8347 | | 1.439 | 1.6 | 1000 | 3.8058 | | 1.3692 | 1.92 | 1200 | 3.7876 | ### Framework versions - Transformers 4.57.0 - Pytorch 2.8.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.1