--- library_name: transformers license: apache-2.0 base_model: answerdotai/ModernBERT-base tags: - generated_from_trainer model-index: - name: ModernBERT-hf-posts-classifier results: [] --- # ModernBERT-hf-posts-classifier This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2372 - Micro F1: 0.4251 - Macro F1: 0.0459 - Weighted F1: 0.2837 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | Weighted F1 | |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:| | No log | 1.0 | 15 | 0.2547 | 0.4621 | 0.0473 | 0.2926 | | No log | 2.0 | 30 | 0.2524 | 0.3676 | 0.0386 | 0.2377 | | No log | 3.0 | 45 | 0.2412 | 0.4291 | 0.0491 | 0.2895 | | No log | 4.0 | 60 | 0.2378 | 0.4291 | 0.0460 | 0.2846 | | No log | 4.7018 | 70 | 0.2372 | 0.4251 | 0.0459 | 0.2837 | ### Framework versions - Transformers 4.48.0.dev0 - Pytorch 2.5.0+cu124 - Datasets 3.1.0 - Tokenizers 0.21.0