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SloBertAA_Top50_WithOOC_MultilingualBertBase
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0406
- Accuracy: 0.7569
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: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|---|
| 1.213 | 1.0 | 33346 | 1.1647 | 0.6803 |
| 0.9296 | 2.0 | 66692 | 1.0262 | 0.7193 |
| 0.7307 | 3.0 | 100038 | 0.9623 | 0.7448 |
| 0.5166 | 4.0 | 133384 | 0.9772 | 0.7534 |
| 0.3817 | 5.0 | 166730 | 1.0406 | 0.7569 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
