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SloBertAA_Top20_WithoutOOC_NEW
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5609
- Accuracy: 0.8889
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 |
|---|---|---|---|---|
| 0.4897 | 1.0 | 22717 | 0.4669 | 0.8493 |
| 0.375 | 2.0 | 45434 | 0.4035 | 0.8742 |
| 0.2603 | 3.0 | 68151 | 0.4473 | 0.8809 |
| 0.165 | 4.0 | 90868 | 0.4972 | 0.8861 |
| 0.1189 | 5.0 | 113585 | 0.5609 | 0.8889 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
