| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: answerdotai/ModernBERT-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: ModernBERT-domain-classifier |
| 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-domain-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: 2.9810 |
| - F1: 0.1146 |
|
|
| ## 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: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 1.0 | 29 | 3.1852 | 0.0358 | |
| | No log | 2.0 | 58 | 3.0854 | 0.0557 | |
| | No log | 3.0 | 87 | 3.0253 | 0.0923 | |
| | 3.1039 | 4.0 | 116 | 2.9922 | 0.1026 | |
| | 3.1039 | 5.0 | 145 | 2.9810 | 0.1146 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.0.dev0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 3.1.0 |
| - Tokenizers 0.21.4 |
| |
