metadata
library_name: transformers
license: mit
base_model: gerulata/slovakbert
tags:
- generated_from_trainer
model-index:
- name: lease_sk_ner_emph_bold
results: []
lease_sk_ner_emph_bold
This model is a fine-tuned version of gerulata/slovakbert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0446
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1329 | 0.0258 |
| 0.0467 | 2.0 | 2658 | 0.0229 |
| 0.0467 | 3.0 | 3987 | 0.0215 |
| 0.01 | 4.0 | 5316 | 0.0231 |
| 0.0061 | 5.0 | 6645 | 0.0277 |
| 0.0061 | 6.0 | 7974 | 0.0288 |
| 0.0045 | 7.0 | 9303 | 0.0351 |
| 0.0032 | 8.0 | 10632 | 0.0316 |
| 0.0032 | 9.0 | 11961 | 0.0370 |
| 0.0025 | 10.0 | 13290 | 0.0402 |
| 0.0018 | 11.0 | 14619 | 0.0367 |
| 0.0018 | 12.0 | 15948 | 0.0396 |
| 0.0015 | 13.0 | 17277 | 0.0417 |
| 0.0012 | 14.0 | 18606 | 0.0433 |
| 0.0012 | 15.0 | 19935 | 0.0446 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1