| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: answerdotai/ModernBERT-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: m3 |
| 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. --> |
|
|
| # m3 |
|
|
| 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: 0.3164 |
| - Accuracy: 0.9587 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 48 |
| - eval_batch_size: 48 |
| - 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: 8 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.162 | 1.0 | 318 | 0.9002 | 0.9026 | |
| | 0.5751 | 2.0 | 636 | 0.5701 | 0.9429 | |
| | 0.3266 | 3.0 | 954 | 0.4162 | 0.9555 | |
| | 0.222 | 4.0 | 1272 | 0.3541 | 0.9558 | |
| | 0.1758 | 5.0 | 1590 | 0.3308 | 0.9597 | |
| | 0.154 | 6.0 | 1908 | 0.3206 | 0.9597 | |
| | 0.1421 | 7.0 | 2226 | 0.3187 | 0.9581 | |
| | 0.1358 | 8.0 | 2544 | 0.3164 | 0.9587 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.0 |
| |
