| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: ModernBERT-large-FT |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # ModernBERT-large-FT |
| |
|
| | This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5883 |
| | - Accuracy: 0.8958 |
| | - F1: 0.8910 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.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: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 0.8974 | 1.0 | 477 | 0.2649 | 0.9368 | 0.9359 | |
| | | 0.1073 | 2.0 | 954 | 0.2305 | 0.9558 | 0.9557 | |
| | | 0.0481 | 3.0 | 1431 | 0.2310 | 0.9610 | 0.9602 | |
| | | 0.022 | 4.0 | 1908 | 0.1921 | 0.9645 | 0.9641 | |
| | | 0.007 | 5.0 | 2385 | 0.1973 | 0.9684 | 0.9678 | |
| | | 0.0072 | 6.0 | 2862 | 0.1938 | 0.9697 | 0.9694 | |
| | | 0.006 | 7.0 | 3339 | 0.1998 | 0.97 | 0.9696 | |
| | | 0.002 | 8.0 | 3816 | 0.2106 | 0.9658 | 0.9654 | |
| | | 0.0007 | 9.0 | 4293 | 0.2084 | 0.9665 | 0.9661 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.2 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| | |
