--- library_name: transformers license: apache-2.0 base_model: answerdotai/ModernBERT-base tags: - generated_from_trainer datasets: - generator model-index: - name: egyptian_modernbert_fineweb2 results: [] --- # egyptian_modernbert_fineweb2 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 4.7130 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 3 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - 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 - lr_scheduler_warmup_steps: 500 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 12.73 | 1.3333 | 3000 | 5.0130 | | 11.0962 | 2.6667 | 6000 | 4.7130 | ### Framework versions - Transformers 4.50.0.dev0 - Pytorch 2.5.1+cu124 - Datasets 3.3.2 - Tokenizers 0.21.0