cs221-xlnet-base-cased-finetuned-17-epochs
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6043
- F1: 0.7329
- Roc Auc: 0.8000
- Accuracy: 0.4386
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|
| 0.0645 | 1.0 | 139 | 0.5656 | 0.7226 | 0.7932 | 0.4206 |
| 0.0366 | 2.0 | 278 | 0.5908 | 0.7320 | 0.7991 | 0.4314 |
| 0.0315 | 3.0 | 417 | 0.6043 | 0.7329 | 0.8000 | 0.4386 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0
