| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-Large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: modernBERT_clinc_oos |
| | 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_clinc_oos |
| |
|
| | 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: 0.2510 |
| | - Accuracy: 0.9368 |
| | - F1 Macro: 0.9419 |
| | - Precision Macro: 0.9429 |
| | - Recall Macro: 0.9457 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 16 |
| | - 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: cosine |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 2 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:| |
| | | 16.366 | 1.0 | 625 | 0.3508 | 0.9155 | 0.9211 | 0.9240 | 0.9268 | |
| | | 0.8392 | 2.0 | 1250 | 0.2510 | 0.9368 | 0.9419 | 0.9429 | 0.9457 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| | |
