helper2
This model is a fine-tuned version of smallbenchnlp/roberta-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0025
- Acc: 0.9997
- Precision: 1.0
- Recall: 0.9994
- F1 score: 0.9997
- Auc: 0.9997
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 0.5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | Precision | Recall | F1 score | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.0041 | 0.49 | 500 | 0.0025 | 0.9997 | 1.0 | 0.9994 | 0.9997 | 0.9997 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2