| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: answerdotai/ModernBERT-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: modernbert_agree_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_agree_classifier |
|
|
| This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7135 |
| - Accuracy: 0.6114 |
|
|
| ## 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: 6.000000000000001e-05 |
| - train_batch_size: 6 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 10 |
| - total_train_batch_size: 60 |
| - 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: constant |
| - training_steps: 100 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 6.6012 | 0.2994 | 20 | 0.6613 | 0.6114 | |
| | 5.841 | 0.5988 | 40 | 0.7060 | 0.6114 | |
| | 7.3284 | 0.8982 | 60 | 0.6671 | 0.6114 | |
| | 6.9088 | 1.2096 | 80 | 0.6861 | 0.4834 | |
| | 7.1679 | 1.5090 | 100 | 0.7135 | 0.6114 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.14.4 |
| - Tokenizers 0.21.1 |
| |
