--- library_name: transformers license: apache-2.0 base_model: answerdotai/ModernBERT-base tags: - generated_from_trainer model-index: - name: wistful-chimp-226 results: [] --- # wistful-chimp-226 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1839 - Hamming Loss: 0.0676 - Zero One Loss: 0.5363 - Jaccard Score: 0.5043 - Hamming Loss Optimised: 0.0665 - Hamming Loss Threshold: 0.4435 - Zero One Loss Optimised: 0.4938 - Zero One Loss Threshold: 0.3878 - Jaccard Score Optimised: 0.4016 - Jaccard Score Threshold: 0.2799 ## 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: 1.1635669864255647e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 2024 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8723317421922154,0.8721320295881776) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold | |:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:| | No log | 1.0 | 100 | 0.2084 | 0.0775 | 0.6362 | 0.6110 | 0.0756 | 0.4333 | 0.5913 | 0.3076 | 0.4904 | 0.2113 | | No log | 2.0 | 200 | 0.1839 | 0.0676 | 0.5363 | 0.5043 | 0.0665 | 0.4435 | 0.4938 | 0.3878 | 0.4016 | 0.2799 | ### Framework versions - Transformers 4.48.0.dev0 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.21.0