| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: category-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. --> |
| |
|
| | # category-classifier |
| |
|
| | 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: 1.6971 |
| | - F1: 0.7660 |
| | - Accuracy: 0.7704 |
| | - F1 Ai: 0.6670 |
| | - F1 Programming: 0.6985 |
| | - F1 Science & engineering: 0.7482 |
| | - F1 Tech: 0.4973 |
| | - F1 Rejected: 0.8520 |
| |
|
| | ## 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: 10 |
| | - eval_batch_size: 5 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | F1 Ai | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:| |
| | | 0.5809 | 1.0 | 3361 | 0.5636 | 0.7738 | 0.7779 | 0.6961 | 0.7271 | 0.7535 | 0.5003 | 0.8534 | |
| | | 0.3134 | 2.0 | 6722 | 0.6732 | 0.7776 | 0.7798 | 0.6933 | 0.7175 | 0.7577 | 0.5315 | 0.8555 | |
| | | 0.3467 | 3.0 | 10083 | 1.6971 | 0.7660 | 0.7704 | 0.6670 | 0.6985 | 0.7482 | 0.4973 | 0.8520 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.0.dev0 |
| | - Pytorch 2.2.2 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.21.0 |
| |
|
