--- library_name: transformers license: apache-2.0 base_model: answerdotai/ModernBERT-large tags: - generated_from_trainer model-index: - name: modernbert_large_likes_predictor results: [] --- # modernbert_large_likes_predictor This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2319 - Rmse: 0.2319 - Mae: 0.3442 ## 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: 6.000000000000001e-05 - train_batch_size: 2 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 12 - total_train_batch_size: 24 - 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_ratio: 0.15 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | |:-------------:|:------:|:----:|:---------------:|:------:|:------:| | 3.0522 | 0.4971 | 150 | 0.3021 | 0.3021 | 0.4136 | | 3.7437 | 0.9942 | 300 | 0.3355 | 0.3355 | 0.4575 | | 3.0905 | 1.4905 | 450 | 0.2626 | 0.2626 | 0.3680 | | 1.7883 | 1.9876 | 600 | 0.2319 | 0.2319 | 0.3442 | ### Framework versions - Transformers 4.52.4 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1