metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: SloBertAA_Top10_WithoutOOC_082023
results: []
SloBertAA_Top10_WithoutOOC_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: 0.4660
- Accuracy: 0.9423
- F1: 0.9423
- Precision: 0.9425
- Recall: 0.9423
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 |
|---|---|---|---|---|---|---|---|
| 0.2996 | 1.0 | 14812 | 0.2914 | 0.9179 | 0.9174 | 0.9187 | 0.9179 |
| 0.2229 | 2.0 | 29624 | 0.2659 | 0.9333 | 0.9332 | 0.9338 | 0.9333 |
| 0.1703 | 3.0 | 44436 | 0.2817 | 0.9347 | 0.9347 | 0.9355 | 0.9347 |
| 0.1245 | 4.0 | 59248 | 0.3126 | 0.9377 | 0.9374 | 0.9376 | 0.9377 |
| 0.0977 | 5.0 | 74060 | 0.3884 | 0.9335 | 0.9335 | 0.9347 | 0.9335 |
| 0.0624 | 6.0 | 88872 | 0.4098 | 0.9395 | 0.9393 | 0.9397 | 0.9395 |
| 0.0355 | 7.0 | 103684 | 0.4213 | 0.9400 | 0.9400 | 0.9402 | 0.9400 |
| 0.0268 | 8.0 | 118496 | 0.4579 | 0.9388 | 0.9387 | 0.9390 | 0.9388 |
| 0.016 | 9.0 | 133308 | 0.4531 | 0.9418 | 0.9418 | 0.9422 | 0.9418 |
| 0.009 | 10.0 | 148120 | 0.4660 | 0.9423 | 0.9423 | 0.9425 | 0.9423 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2