--- library_name: transformers license: apache-2.0 base_model: krytonguard/bert-base-cased-10M tags: - generated_from_trainer model-index: - name: test-clm results: [] --- # test-clm This model is a fine-tuned version of [krytonguard/bert-base-cased-10M](https://huggingface.co/krytonguard/bert-base-cased-10M) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 7.0381 ## 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: 0.002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 7.0349 | 1.0 | 3062 | 7.0551 | | 7.0247 | 2.0 | 6124 | 7.0380 | | 7.0142 | 3.0 | 9186 | 7.0299 | ### Framework versions - Transformers 4.46.2 - Pytorch 2.5.1 - Datasets 3.1.0 - Tokenizers 0.20.3