| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: roberta-base |
| 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. --> |
|
|
| # roberta-base |
|
|
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1585 |
| - Accuracy: 0.9762 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.2838 | 1.0 | 3492 | 0.2001 | 0.9628 | |
| | 0.1463 | 2.0 | 6984 | 0.1663 | 0.9725 | |
| | 0.0922 | 3.0 | 10476 | 0.1962 | 0.9728 | |
| | 0.081 | 4.0 | 13968 | 0.1684 | 0.9725 | |
| | 0.0487 | 5.0 | 17460 | 0.1585 | 0.9762 | |
| | 0.0443 | 6.0 | 20952 | 0.1707 | 0.9762 | |
| | 0.0216 | 7.0 | 24444 | 0.1984 | 0.9765 | |
| | 0.0341 | 8.0 | 27936 | 0.1892 | 0.9751 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
|
|
