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SloBertAA_Top10_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: 0.3475
- Accuracy: 0.9426
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 |
|---|---|---|---|---|
| 0.2904 | 1.0 | 14812 | 0.2680 | 0.9209 |
| 0.2039 | 2.0 | 29624 | 0.2471 | 0.9332 |
| 0.1422 | 3.0 | 44436 | 0.2779 | 0.9371 |
| 0.0888 | 4.0 | 59248 | 0.3324 | 0.9385 |
| 0.0623 | 5.0 | 74060 | 0.3475 | 0.9426 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
