| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: distilroberta-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. --> |
|
|
| # distilroberta-base |
|
|
| This model was trained from scratch on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2128 |
| - F1 Score: 0.9697 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 Score | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.301 | 1.0 | 873 | 0.1875 | 0.9409 | |
| | 0.1426 | 2.0 | 1746 | 0.1306 | 0.9572 | |
| | 0.0833 | 3.0 | 2619 | 0.1042 | 0.9661 | |
| | 0.0671 | 4.0 | 3492 | 0.1528 | 0.9686 | |
| | 0.038 | 5.0 | 4365 | 0.1612 | 0.9684 | |
| | 0.0304 | 6.0 | 5238 | 0.1648 | 0.9707 | |
| | 0.017 | 7.0 | 6111 | 0.2173 | 0.9665 | |
| | 0.0101 | 8.0 | 6984 | 0.2048 | 0.9700 | |
| | 0.0083 | 9.0 | 7857 | 0.2138 | 0.9691 | |
| | 0.0066 | 10.0 | 8730 | 0.2128 | 0.9697 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.31.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
|
|
