--- tags: - generated_from_trainer model-index: - name: MiniLM-L12-H384-uncased results: [] --- # MiniLM-L12-H384-uncased This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.8642 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 64 | 4.0447 | | No log | 2.0 | 128 | 3.0124 | | No log | 3.0 | 192 | 2.8642 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.2.2+cpu - Datasets 2.18.0 - Tokenizers 0.15.2