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SloBertAA_Top50_WithOOC_082023
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3780
- Accuracy: 0.8137
- F1: 0.8130
- Precision: 0.8141
- Recall: 0.8137
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.9779 | 1.0 | 33346 | 0.9139 | 0.7490 | 0.7475 | 0.7558 | 0.7490 |
| 0.7103 | 2.0 | 66692 | 0.8224 | 0.7733 | 0.7713 | 0.7830 | 0.7733 |
| 0.5936 | 3.0 | 100038 | 0.7929 | 0.7891 | 0.7871 | 0.7933 | 0.7891 |
| 0.4483 | 4.0 | 133384 | 0.8073 | 0.8021 | 0.8008 | 0.8052 | 0.8021 |
| 0.3416 | 5.0 | 166730 | 0.9068 | 0.8038 | 0.8033 | 0.8068 | 0.8038 |
| 0.2696 | 6.0 | 200076 | 1.0331 | 0.8057 | 0.8044 | 0.8074 | 0.8057 |
| 0.2002 | 7.0 | 233422 | 1.1634 | 0.8059 | 0.8046 | 0.8079 | 0.8059 |
| 0.1295 | 8.0 | 266768 | 1.2694 | 0.8095 | 0.8089 | 0.8116 | 0.8095 |
| 0.0788 | 9.0 | 300114 | 1.3414 | 0.8130 | 0.8119 | 0.8127 | 0.8130 |
| 0.0511 | 10.0 | 333460 | 1.3780 | 0.8137 | 0.8130 | 0.8141 | 0.8137 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
