| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - accuracy |
| - f1 |
| model-index: |
| - name: TESTING |
| 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. --> |
|
|
| # TESTING |
|
|
| This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1167 |
| - Precision: 0.9561 |
| - Accuracy: 0.9592 |
| - F1: 0.9592 |
|
|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|:------:| |
| | 0.5903 | 0.4 | 500 | 0.4695 | 0.7342 | 0.7728 | 0.7890 | |
| | 0.3986 | 0.8 | 1000 | 0.3469 | 0.8144 | 0.8596 | 0.8684 | |
| | 0.2366 | 1.2 | 1500 | 0.1939 | 0.9313 | 0.9260 | 0.9253 | |
| | 0.1476 | 1.6 | 2000 | 0.1560 | 0.9207 | 0.9452 | 0.9465 | |
| | 0.1284 | 2.0 | 2500 | 0.1167 | 0.9561 | 0.9592 | 0.9592 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.18.0 |
| - Pytorch 1.10.0+cu111 |
| - Datasets 2.1.0 |
| - Tokenizers 0.12.1 |
| |
