--- library_name: transformers license: apache-2.0 base_model: sentence-transformers/all-MiniLM-L6-v2 tags: - regression - generated_from_trainer model-index: - name: stsb-all-MiniLM-L6-v2 results: [] --- # stsb-all-MiniLM-L6-v2 This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0307 - Pearson: 0.8287 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Pearson | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 1.0 | 360 | 0.0354 | 0.7935 | | 0.0483 | 2.0 | 720 | 0.0391 | 0.8124 | | 0.021 | 3.0 | 1080 | 0.0332 | 0.8206 | | 0.021 | 4.0 | 1440 | 0.0296 | 0.8296 | | 0.0155 | 5.0 | 1800 | 0.0307 | 0.8287 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0