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soluciona_fm_tcv_3_trainval
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: 0.0294
- Accuracy: 0.996
- Precision: 0.9962
- Recall: 0.9960
- F1: 0.9960
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
2.3792 | 1.0 | 738 | 0.3947 | 0.89 | 0.9001 | 0.8893 | 0.8868 |
0.4806 | 2.0 | 1476 | 0.0442 | 0.992 | 0.9922 | 0.9919 | 0.9920 |
0.032 | 3.0 | 2214 | 0.0294 | 0.996 | 0.9962 | 0.9960 | 0.9960 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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