SloBertAA_Top5_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: 0.7483
- Accuracy: 0.8641
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 |
---|---|---|---|---|
0.4649 | 1.0 | 10508 | 0.4611 | 0.8344 |
0.3569 | 2.0 | 21016 | 0.4765 | 0.8464 |
0.2884 | 3.0 | 31524 | 0.5055 | 0.8533 |
0.1983 | 4.0 | 42032 | 0.5998 | 0.8616 |
0.1363 | 5.0 | 52540 | 0.7483 | 0.8641 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
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