xlm-roberta-base-finetuned-IberAuTexTification2024-7030-task2-v2
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: 0.7978
- F1: 0.8026
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5883 | 1.0 | 2571 | 0.6234 | 0.7630 |
0.4202 | 2.0 | 5142 | 0.6052 | 0.7935 |
0.2891 | 3.0 | 7713 | 0.6806 | 0.7978 |
0.1782 | 4.0 | 10284 | 0.7978 | 0.8026 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3
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