| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - pearsonr |
| | - spearmanr |
| | model-index: |
| | - name: ModernBERT-ft-stsb |
| | 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-ft-stsb |
| |
|
| | 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: 0.4316 |
| | - Pearsonr: 0.8992 |
| | - Spearmanr: 0.8980 |
| |
|
| | ## 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: 8e-05 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Pearsonr | Spearmanr | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:| |
| | | 1.1095 | 1.0 | 45 | 0.5094 | 0.8845 | 0.8844 | |
| | | 0.35 | 2.0 | 90 | 0.4679 | 0.8957 | 0.8935 | |
| | | 0.1817 | 3.0 | 135 | 0.4329 | 0.8997 | 0.8984 | |
| | | 0.0921 | 4.0 | 180 | 0.4316 | 0.8992 | 0.8980 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.0.dev0 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| |
|
