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xlm-roberta-base_vaxxstance_spanish
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5696
- F1: 0.8314
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 126 | 0.6786 | 0.7824 |
| No log | 2.0 | 252 | 0.5340 | 0.7925 |
| No log | 3.0 | 378 | 0.5578 | 0.7997 |
| 0.6182 | 4.0 | 504 | 0.5223 | 0.8386 |
| 0.6182 | 5.0 | 630 | 0.5696 | 0.8314 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
