metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SloBertAA_Top50_WithoutOOC_NEW
results: []
SloBertAA_Top50_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: 0.8099
- Accuracy: 0.8150
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 |
|---|---|---|---|---|
| 1.0328 | 1.0 | 32692 | 0.9793 | 0.7332 |
| 0.7977 | 2.0 | 65384 | 0.8285 | 0.7756 |
| 0.5871 | 3.0 | 98076 | 0.7762 | 0.7972 |
| 0.4437 | 4.0 | 130768 | 0.7754 | 0.8106 |
| 0.3082 | 5.0 | 163460 | 0.8099 | 0.8150 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2