| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - glue |
| - rte |
| - max_length_128 |
| - dropout_0.4 |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert-base-uncased-finetuned-rte-run_3 |
| 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. --> |
|
|
| # bert-base-uncased-finetuned-rte-run_3 |
| |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6286 |
| - Accuracy: 0.6787 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 78 | 0.6671 | 0.6101 | |
| | No log | 2.0 | 156 | 0.6286 | 0.6787 | |
| | No log | 3.0 | 234 | 0.7819 | 0.6282 | |
| | No log | 4.0 | 312 | 0.9900 | 0.6354 | |
| | No log | 5.0 | 390 | 1.2262 | 0.6426 | |
| | No log | 6.0 | 468 | 1.3365 | 0.6462 | |
| | 0.3699 | 7.0 | 546 | 1.7402 | 0.6426 | |
| | 0.3699 | 8.0 | 624 | 1.8381 | 0.6426 | |
| | 0.3699 | 9.0 | 702 | 1.8395 | 0.6462 | |
| | 0.3699 | 10.0 | 780 | 1.9266 | 0.6354 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.50.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
| |
