--- library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM2-135M tags: - generated_from_trainer model-index: - name: Good-generator results: [] --- # Good-generator This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.2215 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 3.1835 | 0.32 | 200 | 3.4083 | | 2.9042 | 0.64 | 400 | 3.3115 | | 2.7019 | 0.96 | 600 | 3.1662 | | 1.6689 | 1.28 | 800 | 3.2652 | | 1.4683 | 1.6 | 1000 | 3.2215 | ### Framework versions - Transformers 4.56.1 - Pytorch 2.8.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.0