metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SloBertAA_Top100_WithOOC_NEW
results: []
SloBertAA_Top100_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: 1.1313
- Accuracy: 0.7443
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 |
|---|---|---|---|---|
| 1.4068 | 1.0 | 45122 | 1.3504 | 0.6585 |
| 1.1074 | 2.0 | 90244 | 1.1492 | 0.7063 |
| 0.8661 | 3.0 | 135366 | 1.1005 | 0.7264 |
| 0.5962 | 4.0 | 180488 | 1.0983 | 0.7406 |
| 0.5001 | 5.0 | 225610 | 1.1313 | 0.7443 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2