--- library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-1B tags: - generated_from_trainer model-index: - name: Llama1B_stsb results: [] --- # Llama1B_stsb 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: 0.4672 - Pearson: 0.8971 - Spearman: 0.8984 - Combined Score: 0.8978 ## 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 | Pearson | Spearman | Combined Score | |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:--------------:| | 12.6109 | 1.0 | 180 | 0.8516 | 0.8310 | 0.8346 | 0.8328 | | 1.0811 | 2.0 | 360 | 0.6817 | 0.8762 | 0.8756 | 0.8759 | | 0.6641 | 3.0 | 540 | 0.6724 | 0.8695 | 0.8740 | 0.8718 | | 0.4579 | 4.0 | 720 | 0.5094 | 0.8857 | 0.8859 | 0.8858 | | 0.3244 | 5.0 | 900 | 0.5906 | 0.8908 | 0.8897 | 0.8903 | | 0.2715 | 6.0 | 1080 | 0.5000 | 0.8867 | 0.8881 | 0.8874 | | 0.1594 | 7.0 | 1260 | 0.4783 | 0.8941 | 0.8943 | 0.8942 | | 0.102 | 8.0 | 1440 | 0.4699 | 0.8972 | 0.8975 | 0.8974 | | 0.068 | 9.0 | 1620 | 0.4588 | 0.8973 | 0.8976 | 0.8975 | | 0.0351 | 10.0 | 1800 | 0.4672 | 0.8971 | 0.8984 | 0.8978 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0