--- library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-1B tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: Llama1B_mrpc results: [] --- # Llama1B_mrpc This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.6757 - Accuracy: 0.8064 - F1: 0.8668 ## 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: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 1.6439 | 1.0 | 115 | 0.4702 | 0.7819 | 0.8576 | | 0.72 | 2.0 | 230 | 0.4350 | 0.8088 | 0.8617 | | 0.4135 | 3.0 | 345 | 0.7815 | 0.7721 | 0.8215 | | 0.1995 | 4.0 | 460 | 1.1299 | 0.8186 | 0.8683 | | 0.1434 | 5.0 | 575 | 1.1574 | 0.8235 | 0.8754 | | 0.1283 | 6.0 | 690 | 1.4867 | 0.8162 | 0.8687 | | 0.0243 | 7.0 | 805 | 1.7604 | 0.8113 | 0.8697 | | 0.0108 | 8.0 | 920 | 1.6907 | 0.8113 | 0.8715 | | 0.0085 | 9.0 | 1035 | 1.6195 | 0.8088 | 0.8678 | | 0.0048 | 10.0 | 1150 | 1.6757 | 0.8064 | 0.8668 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0