xlm-roberta-base-finetuned-t_generic
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2876
- Accuracy: 0.98
- F1: 0.98
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.6839 | 1.0 | 26 | 0.6029 | 0.73 | 0.7995 |
0.6026 | 2.0 | 52 | 0.4283 | 0.835 | 0.8741 |
0.3799 | 3.0 | 78 | 0.2144 | 0.97 | 0.9711 |
0.1784 | 4.0 | 104 | 0.2025 | 0.97 | 0.9711 |
0.1107 | 5.0 | 130 | 0.2876 | 0.98 | 0.98 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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