results
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0175
- Accuracy: 0.9976
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.1687 | 0.2856 | 500 | 0.0167 | 0.9959 |
0.0522 | 0.5711 | 1000 | 0.0907 | 0.9876 |
0.0373 | 0.8567 | 1500 | 0.0439 | 0.9914 |
0.0215 | 1.1422 | 2000 | 0.0090 | 0.9986 |
0.0134 | 1.4278 | 2500 | 0.0381 | 0.9946 |
0.005 | 1.7133 | 3000 | 0.0185 | 0.9976 |
0.0082 | 1.9989 | 3500 | 0.0281 | 0.9959 |
0.0025 | 2.2844 | 4000 | 0.0102 | 0.9987 |
0.0009 | 2.5700 | 4500 | 0.0133 | 0.9981 |
0.0017 | 2.8555 | 5000 | 0.0173 | 0.9976 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.2.2+cu121
- Tokenizers 0.19.1
- Downloads last month
- 4
Model tree for aidenliw/essay-detect-roberta
Base model
FacebookAI/roberta-base