cyber_xlm_roberta
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4024
- Accuracy: 0.8174
- F1: 0.8059
- Precision: 0.7991
- Recall: 0.8231
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.4653 | 1.0 | 144 | 0.4155 | 0.7971 | 0.7869 | 0.7822 | 0.8095 |
0.3575 | 2.0 | 288 | 0.3869 | 0.8206 | 0.8082 | 0.8012 | 0.8229 |
0.3437 | 3.0 | 432 | 0.4215 | 0.8086 | 0.7998 | 0.7957 | 0.8256 |
0.3129 | 4.0 | 576 | 0.4024 | 0.8174 | 0.8059 | 0.7991 | 0.8231 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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