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SloBertAA_Top20_WithOOC_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: 0.6466
- Accuracy: 0.8652
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 |
|---|---|---|---|---|
| 0.5746 | 1.0 | 23853 | 0.5500 | 0.8264 |
| 0.468 | 2.0 | 47706 | 0.4949 | 0.8481 |
| 0.3284 | 3.0 | 71559 | 0.5075 | 0.8560 |
| 0.2297 | 4.0 | 95412 | 0.5939 | 0.8601 |
| 0.1494 | 5.0 | 119265 | 0.6466 | 0.8652 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
