| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: answerdotai/ModernBERT-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: fold_0 |
| 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. --> |
|
|
| # fold_0 |
| |
| 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: 0.9358 |
| - F1: 0.8578 |
| |
| ## 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: 16 |
| - 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 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.7289 | 1.0 | 188 | 0.4268 | 0.8239 | |
| | 0.3104 | 2.0 | 376 | 0.3828 | 0.8580 | |
| | 0.1417 | 3.0 | 564 | 0.4563 | 0.8522 | |
| | 0.0758 | 4.0 | 752 | 0.5187 | 0.8592 | |
| | 0.0462 | 5.0 | 940 | 0.7985 | 0.8497 | |
| | 0.0289 | 6.0 | 1128 | 0.7168 | 0.8545 | |
| | 0.0152 | 7.0 | 1316 | 1.0003 | 0.8456 | |
| | 0.006 | 8.0 | 1504 | 0.9324 | 0.8575 | |
| | 0.0019 | 9.0 | 1692 | 0.9218 | 0.8618 | |
| | 0.0022 | 10.0 | 1880 | 0.9358 | 0.8578 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.0 |
| - Pytorch 2.5.1 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
